From 0e8ca1c1591308d0df398ba0fe4cc48724a1e718 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Sun, 1 Jun 2025 22:10:43 +0800 Subject: [PATCH 01/44] feat: add OCR functionality and related configurations --- docker/docker-compose.dev.yml | 2 +- i18n/en.json | 13 + i18n/zh_SIMPLIFIED.json | 13 + machine-learning/Dockerfile | 2 +- machine-learning/immich_ml/models/__init__.py | 5 +- .../immich_ml/models/constants.py | 7 + .../immich_ml/models/ocr/paddle.py | 47 + machine-learning/immich_ml/schemas.py | 11 +- machine-learning/pyproject.toml | 28 +- machine-learning/uv.lock | 3932 ++++++++++------- mobile/lib/constants/enums.dart | 2 +- .../models/search/search_filter.model.dart | 9 +- mobile/lib/pages/search/search.page.dart | 37 + mobile/openapi/README.md | 3 + mobile/openapi/lib/api.dart | 2 + mobile/openapi/lib/api/search_api.dart | 47 + mobile/openapi/lib/api_client.dart | 4 + .../model/all_job_status_response_dto.dart | 10 +- mobile/openapi/lib/model/job_name.dart | 3 + mobile/openapi/lib/model/ocr_config.dart | 117 + mobile/openapi/lib/model/ocr_search_dto.dart | 522 +++ .../lib/model/server_features_dto.dart | 10 +- .../lib/model/system_config_job_dto.dart | 10 +- .../system_config_machine_learning_dto.dart | 10 +- open-api/immich-openapi-specs.json | 217 +- open-api/typescript-sdk/src/fetch-client.ts | 55 +- server/src/config.ts | 11 + server/src/controllers/search.controller.ts | 8 + server/src/dtos/job.dto.ts | 3 + server/src/dtos/model-config.dto.ts | 9 + server/src/dtos/search.dto.ts | 12 + server/src/dtos/server.dto.ts | 1 + server/src/dtos/system-config.dto.ts | 13 +- server/src/entities/ocr.entity.ts | 5 + server/src/enum.ts | 6 + .../1743429240851-UpsertOcrAssetJobStatus.ts | 19 + .../migrations/1743429592349-AddOcrTable.ts | 22 + .../src/repositories/asset-job.repository.ts | 17 + server/src/repositories/asset.repository.ts | 1 + server/src/repositories/index.ts | 2 + server/src/repositories/job.repository.ts | 3 + .../machine-learning.repository.ts | 20 +- server/src/repositories/ocr.repository.ts | 74 + server/src/repositories/search.repository.ts | 36 + server/src/schema/tables/asset_ocr.table.ts | 13 + server/src/services/base.service.ts | 2 + server/src/services/index.ts | 2 + server/src/services/job.service.ts | 10 + server/src/services/ocr.service.spec.ts | 0 server/src/services/ocr.service.ts | 108 + server/src/services/search.service.ts | 20 +- server/src/services/server.service.ts | 3 +- server/src/types.ts | 7 +- server/src/utils/misc.ts | 2 + .../admin-page/jobs/jobs-panel.svelte | 9 + .../settings/job-settings/job-settings.svelte | 1 + .../machine-learning-settings.svelte | 36 + .../search-bar/search-bar.svelte | 23 +- .../search-bar/search-text-section.svelte | 14 +- web/src/lib/constants.ts | 8 +- web/src/lib/modals/SearchFilterModal.svelte | 14 +- web/src/lib/stores/server-config.store.ts | 1 + web/src/lib/utils.ts | 1 + .../[[assetId=id]]/+page.svelte | 13 +- 64 files changed, 3998 insertions(+), 1669 deletions(-) create mode 100644 machine-learning/immich_ml/models/ocr/paddle.py create mode 100644 mobile/openapi/lib/model/ocr_config.dart create mode 100644 mobile/openapi/lib/model/ocr_search_dto.dart create mode 100644 server/src/entities/ocr.entity.ts create mode 100644 server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts create mode 100644 server/src/migrations/1743429592349-AddOcrTable.ts create mode 100644 server/src/repositories/ocr.repository.ts create mode 100644 server/src/schema/tables/asset_ocr.table.ts create mode 100644 server/src/services/ocr.service.spec.ts create mode 100644 server/src/services/ocr.service.ts diff --git a/docker/docker-compose.dev.yml b/docker/docker-compose.dev.yml index 372352d12a..fe9e6d7bb4 100644 --- a/docker/docker-compose.dev.yml +++ b/docker/docker-compose.dev.yml @@ -131,7 +131,7 @@ services: ports: - 3003:3003 volumes: - - ../machine-learning:/usr/src/app + - ../machine-learning/immich_ml:/usr/src/immich_ml - model-cache:/cache env_file: - .env diff --git a/i18n/en.json b/i18n/en.json index f8a51eb5f6..ec8d164d49 100644 --- a/i18n/en.json +++ b/i18n/en.json @@ -145,6 +145,14 @@ "machine_learning_min_detection_score_description": "Minimum confidence score for a face to be detected from 0-1. Lower values will detect more faces but may result in false positives.", "machine_learning_min_recognized_faces": "Minimum recognized faces", "machine_learning_min_recognized_faces_description": "The minimum number of recognized faces for a person to be created. Increasing this makes Facial Recognition more precise at the cost of increasing the chance that a face is not assigned to a person.", + "machine_learning_ocr": "OCR", + "machine_learning_ocr_description": "Use machine learning to recognize text in images", + "machine_learning_ocr_enabled": "Enable OCR", + "machine_learning_ocr_enabled_description": "If disabled, images will not be encoded for text recognition.", + "machine_learning_ocr_model": "OCR model", + "machine_learning_ocr_model_description": "Choose an OCR model.", + "machine_learning_ocr_min_score": "Minimum recognition score", + "machine_learning_ocr_min_score_description": "Minimum confidence score for text to be recognized from 0-1. Lower values will recognize more text but may result in false positives.", "machine_learning_settings": "Machine Learning Settings", "machine_learning_settings_description": "Manage machine learning features and settings", "machine_learning_smart_search": "Smart Search", @@ -232,6 +240,7 @@ "oauth_storage_quota_claim_description": "Automatically set the user's storage quota to the value of this claim.", "oauth_storage_quota_default": "Default storage quota (GiB)", "oauth_storage_quota_default_description": "Quota in GiB to be used when no claim is provided.", + "ocr_job_description": "Use machine learning to recognize text in images", "oauth_timeout": "Request Timeout", "oauth_timeout_description": "Timeout for requests in milliseconds", "password_enable_description": "Login with email and password", @@ -1396,6 +1405,7 @@ "notifications": "Notifications", "notifications_setting_description": "Manage notifications", "oauth": "OAuth", + "ocr": "OCR", "official_immich_resources": "Official Immich Resources", "offline": "Offline", "offset": "Offset", @@ -1670,6 +1680,8 @@ "search_by_description_example": "Hiking day in Sapa", "search_by_filename": "Search by file name or extension", "search_by_filename_example": "i.e. IMG_1234.JPG or PNG", + "search_by_ocr": "Search by OCR", + "search_by_ocr_example": "Latte", "search_camera_make": "Search camera make...", "search_camera_model": "Search camera model...", "search_city": "Search city...", @@ -1686,6 +1698,7 @@ "search_filter_location_title": "Select location", "search_filter_media_type": "Media Type", "search_filter_media_type_title": "Select media type", + "search_filter_ocr": "Search by OCR", "search_filter_people_title": "Select people", "search_for": "Search for", "search_for_existing_person": "Search for existing person", diff --git a/i18n/zh_SIMPLIFIED.json b/i18n/zh_SIMPLIFIED.json index 79cc0ee227..63d6d8d46f 100644 --- a/i18n/zh_SIMPLIFIED.json +++ b/i18n/zh_SIMPLIFIED.json @@ -145,6 +145,14 @@ "machine_learning_min_detection_score_description": "检测到人脸的最小置信分数为0-1。较低的值将检测到更多人脸，但可能导致误报。", "machine_learning_min_recognized_faces": "识别的最少人脸数", "machine_learning_min_recognized_faces_description": "创建一个人所需识别的最少人脸数量。提高这个值可以使人脸识别更精确，但也增加了人脸未能被分配到相对应人物的可能性。", + "machine_learning_ocr": "文本识别", + "machine_learning_ocr_description": "使用机器学习识别图片中的文本", + "machine_learning_ocr_enabled": "启用文本识别", + "machine_learning_ocr_enabled_description": "如果禁用，则不会对图像编码以用于文本识别。", + "machine_learning_ocr_model": "文本识别模型", + "machine_learning_ocr_model_description": "选择一个文本识别模型。", + "machine_learning_ocr_min_score": "最低识别分数", + "machine_learning_ocr_min_score_description": "文本识别的最小置信度分数范围是0到1。较低的值将识别出更多的文本，但可能导致误报。", "machine_learning_settings": "机器学习设置", "machine_learning_settings_description": "管理机器学习功能和设置", "machine_learning_smart_search": "智能搜索", @@ -234,6 +242,7 @@ "oauth_storage_quota_default_description": "未提供声明时使用的配额（GiB）。", "oauth_timeout": "请求超时", "oauth_timeout_description": "请求超时（毫秒）", + "ocr_job_description": "使用机器学习识别图片中的文本", "password_enable_description": "使用邮箱和密码登录", "password_settings": "密码登录", "password_settings_description": "管理密码登录设置", @@ -1396,6 +1405,7 @@ "notifications": "通知", "notifications_setting_description": "管理通知", "oauth": "OAuth", + "ocr": "文本识别", "official_immich_resources": "Immich 官方资源", "offline": "离线", "offset": "偏移量", @@ -1670,6 +1680,8 @@ "search_by_description_example": "在沙巴徒步的日子", "search_by_filename": "按文件名或扩展名查找", "search_by_filename_example": "如 IMG_1234.JPG 或 PNG", + "search_by_ocr": "通过文本识别查找", + "search_by_ocr_example": "拿铁咖啡", "search_camera_make": "按相机品牌查找...", "search_camera_model": "按相机型号查找...", "search_city": "按城市查找...", @@ -1686,6 +1698,7 @@ "search_filter_location_title": "选择位置", "search_filter_media_type": "媒体类型", "search_filter_media_type_title": "选择媒体类型", + "search_filter_ocr": "通过文本识别搜索", "search_filter_people_title": "选择人物", "search_for": "查找", "search_for_existing_person": "查找已有人物", diff --git a/machine-learning/Dockerfile b/machine-learning/Dockerfile index d1d7f1037e..68fc3d302f 100644 --- a/machine-learning/Dockerfile +++ b/machine-learning/Dockerfile @@ -136,7 +136,7 @@ FROM prod-${DEVICE} AS prod ARG DEVICE RUN apt-get update && \ - apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then echo "libmimalloc2.0"; fi) && \ + apt-get install -y --no-install-recommends tini libgl1 libglib2.0-0 libgomp1 $(if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then echo "libmimalloc2.0"; fi) && \ apt-get autoremove -yqq && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* diff --git a/machine-learning/immich_ml/models/__init__.py b/machine-learning/immich_ml/models/__init__.py index d52a0b8e00..527bbdb907 100644 --- a/machine-learning/immich_ml/models/__init__.py +++ b/machine-learning/immich_ml/models/__init__.py @@ -8,7 +8,7 @@ from immich_ml.schemas import ModelSource, ModelTask, ModelType from .constants import get_model_source from .facial_recognition.detection import FaceDetector from .facial_recognition.recognition import FaceRecognizer - +from .ocr.paddle import PaddleOCRecognizer def get_model_class(model_name: str, model_type: ModelType, model_task: ModelTask) -> type[InferenceModel]: source = get_model_source(model_name) @@ -28,6 +28,9 @@ def get_model_class(model_name: str, model_type: ModelType, model_task: ModelTas case ModelSource.INSIGHTFACE, ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION: return FaceRecognizer + case ModelSource.PADDLE, ModelType.OCR, ModelTask.OCR: + return PaddleOCRecognizer + case _: raise ValueError(f"Unknown model combination: {source}, {model_type}, {model_task}") diff --git a/machine-learning/immich_ml/models/constants.py b/machine-learning/immich_ml/models/constants.py index 41b0990f71..604b9a304f 100644 --- a/machine-learning/immich_ml/models/constants.py +++ b/machine-learning/immich_ml/models/constants.py @@ -75,6 +75,10 @@ _INSIGHTFACE_MODELS = { } +_PADDLE_MODELS = { + "paddle", +} + SUPPORTED_PROVIDERS = [ "CUDAExecutionProvider", "ROCMExecutionProvider", @@ -158,4 +162,7 @@ def get_model_source(model_name: str) -> ModelSource | None: if cleaned_name in _OPENCLIP_MODELS: return ModelSource.OPENCLIP + if cleaned_name in _PADDLE_MODELS: + return ModelSource.PADDLE + return None diff --git a/machine-learning/immich_ml/models/ocr/paddle.py b/machine-learning/immich_ml/models/ocr/paddle.py new file mode 100644 index 0000000000..1cc82761c9 --- /dev/null +++ b/machine-learning/immich_ml/models/ocr/paddle.py @@ -0,0 +1,47 @@ +from typing import Any + +import numpy as np +from numpy.typing import NDArray +from paddleocr import PaddleOCR +from PIL import Image +from immich_ml.models.base import InferenceModel +from immich_ml.models.transforms import decode_cv2 +from immich_ml.schemas import OCROutput, ModelTask, ModelType + +class PaddleOCRecognizer(InferenceModel): + depends = [] + identity = (ModelType.OCR, ModelTask.OCR) + + def __init__(self, model_name: str, min_score: float = 0.9, **model_kwargs: Any) -> None: + self.min_score = model_kwargs.pop("minScore", min_score) + super().__init__(model_name, **model_kwargs) + self._load() + self.loaded = True + + def _load(self) -> None: + try: + self.model = PaddleOCR( + use_doc_orientation_classify=False, + use_doc_unwarping=False, + use_textline_orientation=False + ) + except Exception as e: + print(f"Error loading PaddleOCR model: {e}") + raise e + + def _predict(self, inputs: NDArray[np.uint8] | bytes | Image.Image, **kwargs: Any) -> OCROutput: + inputs = decode_cv2(inputs) + results = self.model.predict(inputs) + valid_texts_and_scores = [ + (text, score) + for result in results + for text, score in zip(result['rec_texts'], result['rec_scores']) + if score > self.min_score + ] + if not valid_texts_and_scores: + return OCROutput(text="", confidence=0.0) + texts, scores = zip(*valid_texts_and_scores) + return OCROutput( + text="".join(texts), + confidence=sum(scores) / len(scores) + ) diff --git a/machine-learning/immich_ml/schemas.py b/machine-learning/immich_ml/schemas.py index 7ad1e215d6..ee2f21fa80 100644 --- a/machine-learning/immich_ml/schemas.py +++ b/machine-learning/immich_ml/schemas.py @@ -23,14 +23,14 @@ class BoundingBox(TypedDict): class ModelTask(StrEnum): FACIAL_RECOGNITION = "facial-recognition" SEARCH = "clip" - + OCR = "ocr" class ModelType(StrEnum): DETECTION = "detection" RECOGNITION = "recognition" TEXTUAL = "textual" VISUAL = "visual" - + OCR = "ocr" class ModelFormat(StrEnum): ARMNN = "armnn" @@ -42,7 +42,7 @@ class ModelSource(StrEnum): INSIGHTFACE = "insightface" MCLIP = "mclip" OPENCLIP = "openclip" - + PADDLE = "paddle" ModelIdentity = tuple[ModelType, ModelTask] @@ -87,6 +87,11 @@ class DetectedFace(TypedDict): FacialRecognitionOutput = list[DetectedFace] +class OCROutput(TypedDict): + text: str + confidence: float + + class PipelineEntry(TypedDict): modelName: str options: dict[str, Any] diff --git a/machine-learning/pyproject.toml b/machine-learning/pyproject.toml index f0f08b20b6..aba08578a9 100644 --- a/machine-learning/pyproject.toml +++ b/machine-learning/pyproject.toml @@ -22,6 +22,8 @@ dependencies = [ "rich>=13.4.2", "tokenizers>=0.15.0,<1.0", "uvicorn[standard]>=0.22.0,<1.0", + "paddleocr>=3.0.0", + "setuptools>=78.1.0", ] [dependency-groups] @@ -48,11 +50,15 @@ lint = [ dev = ["locust>=2.15.1", { include-group = "test" }, { include-group = "lint" }] [project.optional-dependencies] -cpu = ["onnxruntime>=1.15.0,<2"] -cuda = ["onnxruntime-gpu>=1.17.0,<2"] -openvino = ["onnxruntime-openvino>=1.17.1,<1.19.0"] -armnn = ["onnxruntime>=1.15.0,<2"] -rknn = ["onnxruntime>=1.15.0,<2", "rknn-toolkit-lite2>=2.3.0,<3"] +cpu = ["onnxruntime>=1.15.0,<2", "paddlepaddle==3.0.0rc1"] +cuda = ["onnxruntime-gpu>=1.17.0,<2", "paddlepaddle-gpu==3.0.0rc1"] +openvino = ["onnxruntime-openvino>=1.17.1,<1.19.0", "paddlepaddle==3.0.0rc1"] +armnn = ["onnxruntime>=1.15.0,<2", "paddlepaddle==3.0.0rc1"] +rknn = [ + "onnxruntime>=1.15.0,<2", + "rknn-toolkit-lite2>=2.3.0,<3", + "paddlepaddle==3.0.0rc1", +] rocm = [] [tool.uv] @@ -63,8 +69,20 @@ name = "cuda12" url = "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/" explicit = true +[[tool.uv.index]] +name = "paddlepaddle-cpu" +url = "https://www.paddlepaddle.org.cn/packages/stable/cpu/" +explicit = true + +[[tool.uv.index]] +name = "paddlepaddle-gpu" +url = 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locked } diff --git a/mobile/lib/models/search/search_filter.model.dart b/mobile/lib/models/search/search_filter.model.dart index 7f27b4d333..bc6a17b265 100644 --- a/mobile/lib/models/search/search_filter.model.dart +++ b/mobile/lib/models/search/search_filter.model.dart @@ -176,6 +176,7 @@ class SearchFilter { String? context; String? filename; String? description; + String? ocr; String? language; Set people; SearchLocationFilter location; @@ -190,6 +191,7 @@ class SearchFilter { this.context, this.filename, this.description, + this.ocr, this.language, required this.people, required this.location, @@ -203,6 +205,7 @@ class SearchFilter { return (context == null || (context != null && context!.isEmpty)) && (filename == null || (filename!.isEmpty)) && (description == null || (description!.isEmpty)) && + (ocr == null || (ocr!.isEmpty)) && people.isEmpty && location.country == null && location.state == null && @@ -222,6 +225,7 @@ class SearchFilter { String? filename, String? description, String? language, + String? ocr, Set? people, SearchLocationFilter? location, SearchCameraFilter? camera, @@ -234,6 +238,7 @@ class SearchFilter { filename: filename ?? this.filename, description: description ?? this.description, language: language ?? this.language, + ocr: ocr ?? this.ocr, people: people ?? this.people, location: location ?? this.location, camera: camera ?? this.camera, @@ -245,7 +250,7 @@ class SearchFilter { @override String toString() { - return 'SearchFilter(context: $context, filename: $filename, description: $description, language: $language, people: $people, location: $location, camera: $camera, date: $date, display: $display, mediaType: $mediaType)'; + return 'SearchFilter(context: $context, filename: $filename, description: $description, language: $language, ocr: $ocr, people: $people, location: $location, camera: $camera, date: $date, display: $display, mediaType: $mediaType)'; } @override @@ -256,6 +261,7 @@ class SearchFilter { other.filename == filename && other.description == description && other.language == language && + other.ocr == ocr && other.people == people && other.location == location && other.camera == camera && @@ -270,6 +276,7 @@ class SearchFilter { filename.hashCode ^ description.hashCode ^ language.hashCode ^ + ocr.hashCode ^ people.hashCode ^ location.hashCode ^ camera.hashCode ^ diff --git a/mobile/lib/pages/search/search.page.dart b/mobile/lib/pages/search/search.page.dart index 97205e000c..8044fa3ff1 100644 --- a/mobile/lib/pages/search/search.page.dart +++ b/mobile/lib/pages/search/search.page.dart @@ -399,6 +399,22 @@ class SearchPage extends HookConsumerWidget { case TextSearchType.description: filter.value = filter.value.copyWith(filename: '', context: '', description: value); break; + case TextSearchType.ocr: + filter.value = filter.value.copyWith( + filename: '', + context: '', + description: '', + ocr: value, + ); + break; + case TextSearchType.ocr: + filter.value = filter.value.copyWith( + filename: '', + context: '', + description: '', + ocr: value, + ); + break; } search(); @@ -408,6 +424,7 @@ class SearchPage extends HookConsumerWidget { TextSearchType.context => Icons.image_search_rounded, TextSearchType.filename => Icons.abc_rounded, TextSearchType.description => Icons.text_snippet_outlined, + TextSearchType.ocr => Icons.document_scanner_outlined }; return Scaffold( @@ -493,6 +510,26 @@ class SearchPage extends HookConsumerWidget { searchHintText.value = 'search_by_description_example'.tr(); }, ), + MenuItemButton( + child: ListTile( + leading: const Icon(Icons.document_scanner_outlined), + title: Text( + 'search_filter_ocr'.tr(), + style: context.textTheme.bodyLarge?.copyWith( + fontWeight: FontWeight.w500, + color: textSearchType.value == TextSearchType.ocr + ? context.colorScheme.primary + : null, + ), + ), + selectedColor: context.colorScheme.primary, + selected: textSearchType.value == TextSearchType.ocr, + ), + onPressed: () { + textSearchType.value = TextSearchType.ocr; + searchHintText.value = 'search_by_ocr_example'.tr(); + }, + ), ], ), ), diff --git a/mobile/openapi/README.md b/mobile/openapi/README.md index 6cd26aefc4..e9f959d022 100644 --- a/mobile/openapi/README.md +++ b/mobile/openapi/README.md @@ -194,6 +194,7 @@ Class | Method | HTTP request | Description *SearchApi* | [**searchAssetStatistics**](doc//SearchApi.md#searchassetstatistics) | **POST** /search/statistics | *SearchApi* | [**searchAssets**](doc//SearchApi.md#searchassets) | **POST** /search/metadata | *SearchApi* | [**searchLargeAssets**](doc//SearchApi.md#searchlargeassets) | **POST** /search/large-assets | +*SearchApi* | [**searchOcr**](doc//SearchApi.md#searchocr) | **POST** /search/ocr | *SearchApi* | [**searchPerson**](doc//SearchApi.md#searchperson) | **GET** /search/person | *SearchApi* | [**searchPlaces**](doc//SearchApi.md#searchplaces) | **GET** /search/places | *SearchApi* | [**searchRandom**](doc//SearchApi.md#searchrandom) | **POST** /search/random | @@ -415,6 +416,8 @@ Class | Method | HTTP request | Description - [OAuthCallbackDto](doc//OAuthCallbackDto.md) - [OAuthConfigDto](doc//OAuthConfigDto.md) - [OAuthTokenEndpointAuthMethod](doc//OAuthTokenEndpointAuthMethod.md) + - [OcrConfig](doc//OcrConfig.md) + - [OcrSearchDto](doc//OcrSearchDto.md) - [OnThisDayDto](doc//OnThisDayDto.md) - [OnboardingDto](doc//OnboardingDto.md) - [OnboardingResponseDto](doc//OnboardingResponseDto.md) diff --git a/mobile/openapi/lib/api.dart b/mobile/openapi/lib/api.dart index e87c160d96..5af0fda839 100644 --- a/mobile/openapi/lib/api.dart +++ b/mobile/openapi/lib/api.dart @@ -187,6 +187,8 @@ part 'model/o_auth_authorize_response_dto.dart'; part 'model/o_auth_callback_dto.dart'; part 'model/o_auth_config_dto.dart'; part 'model/o_auth_token_endpoint_auth_method.dart'; +part 'model/ocr_config.dart'; +part 'model/ocr_search_dto.dart'; part 'model/on_this_day_dto.dart'; part 'model/onboarding_dto.dart'; part 'model/onboarding_response_dto.dart'; diff --git a/mobile/openapi/lib/api/search_api.dart b/mobile/openapi/lib/api/search_api.dart index 4d9e1172b8..df0ad8d4c0 100644 --- a/mobile/openapi/lib/api/search_api.dart +++ b/mobile/openapi/lib/api/search_api.dart @@ -577,6 +577,53 @@ class SearchApi { return null; } + /// Performs an HTTP 'POST /search/ocr' operation and returns the [Response]. + /// Parameters: + /// + /// * [OcrSearchDto] ocrSearchDto (required): + Future searchOcrWithHttpInfo(OcrSearchDto ocrSearchDto,) async { + // ignore: prefer_const_declarations + final apiPath = r'/search/ocr'; + + // ignore: prefer_final_locals + Object? postBody = ocrSearchDto; + + final queryParams = []; + final headerParams = {}; + final formParams = {}; + + const contentTypes = ['application/json']; + + + return apiClient.invokeAPI( + apiPath, + 'POST', + queryParams, + postBody, + headerParams, + formParams, + contentTypes.isEmpty ? null : contentTypes.first, + ); + } + + /// Parameters: + /// + /// * [OcrSearchDto] ocrSearchDto (required): + Future searchOcr(OcrSearchDto ocrSearchDto,) async { + final response = await searchOcrWithHttpInfo(ocrSearchDto,); + if (response.statusCode >= HttpStatus.badRequest) { + throw ApiException(response.statusCode, await _decodeBodyBytes(response)); + } + // When a remote server returns no body with a status of 204, we shall not decode it. + // At the time of writing this, `dart:convert` will throw an "Unexpected end of input" + // FormatException when trying to decode an empty string. + if (response.body.isNotEmpty && response.statusCode != HttpStatus.noContent) { + return await apiClient.deserializeAsync(await _decodeBodyBytes(response), 'SearchResponseDto',) as SearchResponseDto; + + } + return null; + } + /// This endpoint requires the `person.read` permission. /// /// Note: This method returns the HTTP [Response]. diff --git a/mobile/openapi/lib/api_client.dart b/mobile/openapi/lib/api_client.dart index ae5fd9227b..ce56cfd4b4 100644 --- a/mobile/openapi/lib/api_client.dart +++ b/mobile/openapi/lib/api_client.dart @@ -428,6 +428,10 @@ class ApiClient { return OAuthConfigDto.fromJson(value); case 'OAuthTokenEndpointAuthMethod': return OAuthTokenEndpointAuthMethodTypeTransformer().decode(value); + case 'OcrConfig': + return OcrConfig.fromJson(value); + case 'OcrSearchDto': + return OcrSearchDto.fromJson(value); case 'OnThisDayDto': return OnThisDayDto.fromJson(value); case 'OnboardingDto': diff --git a/mobile/openapi/lib/model/all_job_status_response_dto.dart b/mobile/openapi/lib/model/all_job_status_response_dto.dart index 787d02dd0e..291bec4394 100644 --- a/mobile/openapi/lib/model/all_job_status_response_dto.dart +++ b/mobile/openapi/lib/model/all_job_status_response_dto.dart @@ -22,6 +22,7 @@ class AllJobStatusResponseDto { required this.metadataExtraction, required this.migration, required this.notifications, + required this.ocr, required this.search, required this.sidecar, required this.smartSearch, @@ -48,6 +49,8 @@ class AllJobStatusResponseDto { JobStatusDto notifications; + JobStatusDto ocr; + JobStatusDto search; JobStatusDto sidecar; @@ -71,6 +74,7 @@ class AllJobStatusResponseDto { other.metadataExtraction == metadataExtraction && other.migration == migration && other.notifications == notifications && + other.ocr == ocr && other.search == search && other.sidecar == sidecar && other.smartSearch == smartSearch && @@ -90,6 +94,7 @@ class AllJobStatusResponseDto { (metadataExtraction.hashCode) + (migration.hashCode) + (notifications.hashCode) + + (ocr.hashCode) + (search.hashCode) + (sidecar.hashCode) + (smartSearch.hashCode) + @@ -98,7 +103,7 @@ class AllJobStatusResponseDto { (videoConversion.hashCode); @override - String toString() => 'AllJobStatusResponseDto[backgroundTask=$backgroundTask, backupDatabase=$backupDatabase, duplicateDetection=$duplicateDetection, faceDetection=$faceDetection, facialRecognition=$facialRecognition, library_=$library_, metadataExtraction=$metadataExtraction, migration=$migration, notifications=$notifications, search=$search, sidecar=$sidecar, smartSearch=$smartSearch, storageTemplateMigration=$storageTemplateMigration, thumbnailGeneration=$thumbnailGeneration, videoConversion=$videoConversion]'; + String toString() => 'AllJobStatusResponseDto[backgroundTask=$backgroundTask, backupDatabase=$backupDatabase, duplicateDetection=$duplicateDetection, faceDetection=$faceDetection, facialRecognition=$facialRecognition, library_=$library_, metadataExtraction=$metadataExtraction, migration=$migration, notifications=$notifications, ocr=$ocr, search=$search, sidecar=$sidecar, smartSearch=$smartSearch, storageTemplateMigration=$storageTemplateMigration, thumbnailGeneration=$thumbnailGeneration, videoConversion=$videoConversion]'; Map toJson() { final json = {}; @@ -111,6 +116,7 @@ class AllJobStatusResponseDto { json[r'metadataExtraction'] = this.metadataExtraction; json[r'migration'] = this.migration; json[r'notifications'] = this.notifications; + json[r'ocr'] = this.ocr; json[r'search'] = this.search; json[r'sidecar'] = this.sidecar; json[r'smartSearch'] = this.smartSearch; @@ -138,6 +144,7 @@ class AllJobStatusResponseDto { metadataExtraction: JobStatusDto.fromJson(json[r'metadataExtraction'])!, migration: JobStatusDto.fromJson(json[r'migration'])!, notifications: JobStatusDto.fromJson(json[r'notifications'])!, + ocr: JobStatusDto.fromJson(json[r'ocr'])!, search: JobStatusDto.fromJson(json[r'search'])!, sidecar: JobStatusDto.fromJson(json[r'sidecar'])!, smartSearch: JobStatusDto.fromJson(json[r'smartSearch'])!, @@ -200,6 +207,7 @@ class AllJobStatusResponseDto { 'metadataExtraction', 'migration', 'notifications', + 'ocr', 'search', 'sidecar', 'smartSearch', diff --git a/mobile/openapi/lib/model/job_name.dart b/mobile/openapi/lib/model/job_name.dart index 6b9a002cbe..bbb9111105 100644 --- a/mobile/openapi/lib/model/job_name.dart +++ b/mobile/openapi/lib/model/job_name.dart @@ -38,6 +38,7 @@ class JobName { static const library_ = JobName._(r'library'); static const notifications = JobName._(r'notifications'); static const backupDatabase = JobName._(r'backupDatabase'); + static const ocr = JobName._(r'ocr'); /// List of all possible values in this [enum][JobName]. static const values = [ @@ -56,6 +57,7 @@ class JobName { library_, notifications, backupDatabase, + ocr, ]; static JobName? fromJson(dynamic value) => JobNameTypeTransformer().decode(value); @@ -109,6 +111,7 @@ class JobNameTypeTransformer { case r'library': return JobName.library_; case r'notifications': return JobName.notifications; case r'backupDatabase': return JobName.backupDatabase; + case r'ocr': return JobName.ocr; default: if (!allowNull) { throw ArgumentError('Unknown enum value to decode: $data'); diff --git a/mobile/openapi/lib/model/ocr_config.dart b/mobile/openapi/lib/model/ocr_config.dart new file mode 100644 index 0000000000..0ea4d7697e --- /dev/null +++ b/mobile/openapi/lib/model/ocr_config.dart @@ -0,0 +1,117 @@ +// +// AUTO-GENERATED FILE, DO NOT MODIFY! +// +// @dart=2.18 + +// ignore_for_file: unused_element, unused_import +// ignore_for_file: always_put_required_named_parameters_first +// ignore_for_file: constant_identifier_names +// ignore_for_file: lines_longer_than_80_chars + +part of openapi.api; + +class OcrConfig { + /// Returns a new [OcrConfig] instance. + OcrConfig({ + required this.enabled, + required this.minScore, + required this.modelName, + }); + + bool enabled; + + /// Minimum value: 0.1 + /// Maximum value: 1 + double minScore; + + String modelName; + + @override + bool operator ==(Object other) => identical(this, other) || other is OcrConfig && + other.enabled == enabled && + other.minScore == minScore && + other.modelName == modelName; + + @override + int get hashCode => + // ignore: unnecessary_parenthesis + (enabled.hashCode) + + (minScore.hashCode) + + (modelName.hashCode); + + @override + String toString() => 'OcrConfig[enabled=$enabled, minScore=$minScore, modelName=$modelName]'; + + Map toJson() { + final json = {}; + json[r'enabled'] = this.enabled; + json[r'minScore'] = this.minScore; + json[r'modelName'] = this.modelName; + return json; + } + + /// Returns a new [OcrConfig] instance and imports its values from + /// [value] if it's a [Map], null otherwise. + // ignore: prefer_constructors_over_static_methods + static OcrConfig? fromJson(dynamic value) { + upgradeDto(value, "OcrConfig"); + if (value is Map) { + final json = value.cast(); + + return OcrConfig( + enabled: mapValueOfType(json, r'enabled')!, + minScore: (mapValueOfType(json, r'minScore')!).toDouble(), + modelName: mapValueOfType(json, r'modelName')!, + ); + } + return null; + } + + static List listFromJson(dynamic json, {bool growable = false,}) { + final result = []; + if (json is List && json.isNotEmpty) { + for (final row in json) { + final value = OcrConfig.fromJson(row); + if (value != null) { + result.add(value); + } + } + } + return result.toList(growable: growable); + } + + static Map mapFromJson(dynamic json) { + final map = {}; + if (json is Map && json.isNotEmpty) { + json = json.cast(); // ignore: parameter_assignments + for (final entry in json.entries) { + final value = OcrConfig.fromJson(entry.value); + if (value != null) { + map[entry.key] = value; + } + } + } + return map; + } + + // maps a json object with a list of OcrConfig-objects as value to a dart map + static Map> mapListFromJson(dynamic json, {bool growable = false,}) { + final map = >{}; + if (json is Map && json.isNotEmpty) { + // ignore: parameter_assignments + json = json.cast(); + for (final entry in json.entries) { + map[entry.key] = OcrConfig.listFromJson(entry.value, growable: growable,); + } + } + return map; + } + + /// The list of required keys that must be present in a JSON. + static const requiredKeys = { + 'enabled', + 'minScore', + 'modelName', + }; +} + diff --git a/mobile/openapi/lib/model/ocr_search_dto.dart b/mobile/openapi/lib/model/ocr_search_dto.dart new file mode 100644 index 0000000000..a9a6983c35 --- /dev/null +++ b/mobile/openapi/lib/model/ocr_search_dto.dart @@ -0,0 +1,522 @@ +// +// AUTO-GENERATED FILE, DO NOT MODIFY! +// +// @dart=2.18 + +// ignore_for_file: unused_element, unused_import +// ignore_for_file: always_put_required_named_parameters_first +// ignore_for_file: constant_identifier_names +// ignore_for_file: lines_longer_than_80_chars + +part of openapi.api; + +class OcrSearchDto { + /// Returns a new [OcrSearchDto] instance. + OcrSearchDto({ + this.albumIds = const [], + this.city, + this.country, + this.createdAfter, + this.createdBefore, + this.deviceId, + this.isEncoded, + this.isFavorite, + this.isMotion, + this.isNotInAlbum, + this.isOffline, + this.lensModel, + this.libraryId, + this.make, + this.model, + required this.ocr, + this.page, + this.personIds = const [], + this.rating, + this.state, + this.tagIds = const [], + this.takenAfter, + this.takenBefore, + this.trashedAfter, + this.trashedBefore, + this.type, + this.updatedAfter, + this.updatedBefore, + this.visibility, + }); + + List albumIds; + + String? city; + + String? country; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? createdAfter; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? createdBefore; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + String? deviceId; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + bool? isEncoded; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + bool? isFavorite; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + bool? isMotion; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + bool? isNotInAlbum; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + bool? isOffline; + + String? lensModel; + + String? libraryId; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + String? make; + + String? model; + + String ocr; + + /// Minimum value: 1 + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + num? page; + + List personIds; + + /// Minimum value: -1 + /// Maximum value: 5 + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + num? rating; + + String? state; + + List? tagIds; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? takenAfter; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? takenBefore; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? trashedAfter; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? trashedBefore; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + AssetTypeEnum? type; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? updatedAfter; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + DateTime? updatedBefore; + + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + AssetVisibility? visibility; + + @override + bool operator ==(Object other) => identical(this, other) || other is OcrSearchDto && + _deepEquality.equals(other.albumIds, albumIds) && + other.city == city && + other.country == country && + other.createdAfter == createdAfter && + other.createdBefore == createdBefore && + other.deviceId == deviceId && + other.isEncoded == isEncoded && + other.isFavorite == isFavorite && + other.isMotion == isMotion && + other.isNotInAlbum == isNotInAlbum && + other.isOffline == isOffline && + other.lensModel == lensModel && + other.libraryId == libraryId && + other.make == make && + other.model == model && + other.ocr == ocr && + other.page == page && + _deepEquality.equals(other.personIds, personIds) && + other.rating == rating && + other.state == state && + _deepEquality.equals(other.tagIds, tagIds) && + other.takenAfter == takenAfter && + other.takenBefore == takenBefore && + other.trashedAfter == trashedAfter && + other.trashedBefore == trashedBefore && + other.type == type && + other.updatedAfter == updatedAfter && + other.updatedBefore == updatedBefore && + other.visibility == visibility; + + @override + int get hashCode => + // ignore: unnecessary_parenthesis + (albumIds.hashCode) + + (city == null ? 0 : city!.hashCode) + + (country == null ? 0 : country!.hashCode) + + (createdAfter == null ? 0 : createdAfter!.hashCode) + + (createdBefore == null ? 0 : createdBefore!.hashCode) + + (deviceId == null ? 0 : deviceId!.hashCode) + + (isEncoded == null ? 0 : isEncoded!.hashCode) + + (isFavorite == null ? 0 : isFavorite!.hashCode) + + (isMotion == null ? 0 : isMotion!.hashCode) + + (isNotInAlbum == null ? 0 : isNotInAlbum!.hashCode) + + (isOffline == null ? 0 : isOffline!.hashCode) + + (lensModel == null ? 0 : lensModel!.hashCode) + + (libraryId == null ? 0 : libraryId!.hashCode) + + (make == null ? 0 : make!.hashCode) + + (model == null ? 0 : model!.hashCode) + + (ocr.hashCode) + + (page == null ? 0 : page!.hashCode) + + (personIds.hashCode) + + (rating == null ? 0 : rating!.hashCode) + + (state == null ? 0 : state!.hashCode) + + (tagIds == null ? 0 : tagIds!.hashCode) + + (takenAfter == null ? 0 : takenAfter!.hashCode) + + (takenBefore == null ? 0 : takenBefore!.hashCode) + + (trashedAfter == null ? 0 : trashedAfter!.hashCode) + + (trashedBefore == null ? 0 : trashedBefore!.hashCode) + + (type == null ? 0 : type!.hashCode) + + (updatedAfter == null ? 0 : updatedAfter!.hashCode) + + (updatedBefore == null ? 0 : updatedBefore!.hashCode) + + (visibility == null ? 0 : visibility!.hashCode); + + @override + String toString() => 'OcrSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, ocr=$ocr, page=$page, personIds=$personIds, rating=$rating, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility]'; + + Map toJson() { + final json = {}; + json[r'albumIds'] = this.albumIds; + if (this.city != null) { + json[r'city'] = this.city; + } else { + // json[r'city'] = null; + } + if (this.country != null) { + json[r'country'] = this.country; + } else { + // json[r'country'] = null; + } + if (this.createdAfter != null) { + json[r'createdAfter'] = this.createdAfter!.toUtc().toIso8601String(); + } else { + // json[r'createdAfter'] = null; + } + if (this.createdBefore != null) { + json[r'createdBefore'] = this.createdBefore!.toUtc().toIso8601String(); + } else { + // json[r'createdBefore'] = null; + } + if (this.deviceId != null) { + json[r'deviceId'] = this.deviceId; + } else { + // json[r'deviceId'] = null; + } + if (this.isEncoded != null) { + json[r'isEncoded'] = this.isEncoded; + } else { + // json[r'isEncoded'] = null; + } + if (this.isFavorite != null) { + json[r'isFavorite'] = this.isFavorite; + } else { + // json[r'isFavorite'] = null; + } + if (this.isMotion != null) { + json[r'isMotion'] = this.isMotion; + } else { + // json[r'isMotion'] = null; + } + if (this.isNotInAlbum != null) { + json[r'isNotInAlbum'] = this.isNotInAlbum; + } else { + // json[r'isNotInAlbum'] = null; + } + if (this.isOffline != null) { + json[r'isOffline'] = this.isOffline; + } else { + // json[r'isOffline'] = null; + } + if (this.lensModel != null) { + json[r'lensModel'] = this.lensModel; + } else { + // json[r'lensModel'] = null; + } + if (this.libraryId != null) { + json[r'libraryId'] = this.libraryId; + } else { + // json[r'libraryId'] = null; + } + if (this.make != null) { + json[r'make'] = this.make; + } else { + // json[r'make'] = null; + } + if (this.model != null) { + json[r'model'] = this.model; + } else { + // json[r'model'] = null; + } + json[r'ocr'] = this.ocr; + if (this.page != null) { + json[r'page'] = this.page; + } else { + // json[r'page'] = null; + } + json[r'personIds'] = this.personIds; + if (this.rating != null) { + json[r'rating'] = this.rating; + } else { + // json[r'rating'] = null; + } + if (this.state != null) { + json[r'state'] = this.state; + } else { + // json[r'state'] = null; + } + if (this.tagIds != null) { + json[r'tagIds'] = this.tagIds; + } else { + // json[r'tagIds'] = null; + } + if (this.takenAfter != null) { + json[r'takenAfter'] = this.takenAfter!.toUtc().toIso8601String(); + } else { + // json[r'takenAfter'] = null; + } + if (this.takenBefore != null) { + json[r'takenBefore'] = this.takenBefore!.toUtc().toIso8601String(); + } else { + // json[r'takenBefore'] = null; + } + if (this.trashedAfter != null) { + json[r'trashedAfter'] = this.trashedAfter!.toUtc().toIso8601String(); + } else { + // json[r'trashedAfter'] = null; + } + if (this.trashedBefore != null) { + json[r'trashedBefore'] = this.trashedBefore!.toUtc().toIso8601String(); + } else { + // json[r'trashedBefore'] = null; + } + if (this.type != null) { + json[r'type'] = this.type; + } else { + // json[r'type'] = null; + } + if (this.updatedAfter != null) { + json[r'updatedAfter'] = this.updatedAfter!.toUtc().toIso8601String(); + } else { + // json[r'updatedAfter'] = null; + } + if (this.updatedBefore != null) { + json[r'updatedBefore'] = this.updatedBefore!.toUtc().toIso8601String(); + } else { + // json[r'updatedBefore'] = null; + } + if (this.visibility != null) { + json[r'visibility'] = this.visibility; + } else { + // json[r'visibility'] = null; + } + return json; + } + + /// Returns a new [OcrSearchDto] instance and imports its values from + /// [value] if it's a [Map], null otherwise. + // ignore: prefer_constructors_over_static_methods + static OcrSearchDto? fromJson(dynamic value) { + upgradeDto(value, "OcrSearchDto"); + if (value is Map) { + final json = value.cast(); + + return OcrSearchDto( + albumIds: json[r'albumIds'] is Iterable + ? (json[r'albumIds'] as Iterable).cast().toList(growable: false) + : const [], + city: mapValueOfType(json, r'city'), + country: mapValueOfType(json, r'country'), + createdAfter: mapDateTime(json, r'createdAfter', r''), + createdBefore: mapDateTime(json, r'createdBefore', r''), + deviceId: mapValueOfType(json, r'deviceId'), + isEncoded: mapValueOfType(json, r'isEncoded'), + isFavorite: mapValueOfType(json, r'isFavorite'), + isMotion: mapValueOfType(json, r'isMotion'), + isNotInAlbum: mapValueOfType(json, r'isNotInAlbum'), + isOffline: mapValueOfType(json, r'isOffline'), + lensModel: mapValueOfType(json, r'lensModel'), + libraryId: mapValueOfType(json, r'libraryId'), + make: mapValueOfType(json, r'make'), + model: mapValueOfType(json, r'model'), + ocr: mapValueOfType(json, r'ocr')!, + page: num.parse('${json[r'page']}'), + personIds: json[r'personIds'] is Iterable + ? (json[r'personIds'] as Iterable).cast().toList(growable: false) + : const [], + rating: num.parse('${json[r'rating']}'), + state: mapValueOfType(json, r'state'), + tagIds: json[r'tagIds'] is Iterable + ? (json[r'tagIds'] as Iterable).cast().toList(growable: false) + : const [], + takenAfter: mapDateTime(json, r'takenAfter', r''), + takenBefore: mapDateTime(json, r'takenBefore', r''), + trashedAfter: mapDateTime(json, r'trashedAfter', r''), + trashedBefore: mapDateTime(json, r'trashedBefore', r''), + type: AssetTypeEnum.fromJson(json[r'type']), + updatedAfter: mapDateTime(json, r'updatedAfter', r''), + updatedBefore: mapDateTime(json, r'updatedBefore', r''), + visibility: AssetVisibility.fromJson(json[r'visibility']), + ); + } + return null; + } + + static List listFromJson(dynamic json, {bool growable = false,}) { + final result = []; + if (json is List && json.isNotEmpty) { + for (final row in json) { + final value = OcrSearchDto.fromJson(row); + if (value != null) { + result.add(value); + } + } + } + return result.toList(growable: growable); + } + + static Map mapFromJson(dynamic json) { + final map = {}; + if (json is Map && json.isNotEmpty) { + json = json.cast(); // ignore: parameter_assignments + for (final entry in json.entries) { + final value = OcrSearchDto.fromJson(entry.value); + if (value != null) { + map[entry.key] = value; + } + } + } + return map; + } + + // maps a json object with a list of OcrSearchDto-objects as value to a dart map + static Map> mapListFromJson(dynamic json, {bool growable = false,}) { + final map = >{}; + if (json is Map && json.isNotEmpty) { + // ignore: parameter_assignments + json = json.cast(); + for (final entry in json.entries) { + map[entry.key] = OcrSearchDto.listFromJson(entry.value, growable: growable,); + } + } + return map; + } + + /// The list of required keys that must be present in a JSON. + static const requiredKeys = { + 'ocr', + }; +} + diff --git a/mobile/openapi/lib/model/server_features_dto.dart b/mobile/openapi/lib/model/server_features_dto.dart index 5149c3796a..7b5980ca13 100644 --- a/mobile/openapi/lib/model/server_features_dto.dart +++ b/mobile/openapi/lib/model/server_features_dto.dart @@ -21,6 +21,7 @@ class ServerFeaturesDto { required this.map, required this.oauth, required this.oauthAutoLaunch, + required this.ocr, required this.passwordLogin, required this.reverseGeocoding, required this.search, @@ -45,6 +46,8 @@ class ServerFeaturesDto { bool oauthAutoLaunch; + bool ocr; + bool passwordLogin; bool reverseGeocoding; @@ -67,6 +70,7 @@ class ServerFeaturesDto { other.map == map && other.oauth == oauth && other.oauthAutoLaunch == oauthAutoLaunch && + other.ocr == ocr && other.passwordLogin == passwordLogin && other.reverseGeocoding == reverseGeocoding && other.search == search && @@ -85,6 +89,7 @@ class ServerFeaturesDto { (map.hashCode) + (oauth.hashCode) + (oauthAutoLaunch.hashCode) + + (ocr.hashCode) + (passwordLogin.hashCode) + (reverseGeocoding.hashCode) + (search.hashCode) + @@ -93,7 +98,7 @@ class ServerFeaturesDto { (trash.hashCode); @override - String toString() => 'ServerFeaturesDto[configFile=$configFile, duplicateDetection=$duplicateDetection, email=$email, facialRecognition=$facialRecognition, importFaces=$importFaces, map=$map, oauth=$oauth, oauthAutoLaunch=$oauthAutoLaunch, passwordLogin=$passwordLogin, reverseGeocoding=$reverseGeocoding, search=$search, sidecar=$sidecar, smartSearch=$smartSearch, trash=$trash]'; + String toString() => 'ServerFeaturesDto[configFile=$configFile, duplicateDetection=$duplicateDetection, email=$email, facialRecognition=$facialRecognition, importFaces=$importFaces, map=$map, oauth=$oauth, oauthAutoLaunch=$oauthAutoLaunch, ocr=$ocr, passwordLogin=$passwordLogin, reverseGeocoding=$reverseGeocoding, search=$search, sidecar=$sidecar, smartSearch=$smartSearch, trash=$trash]'; Map toJson() { final json = {}; @@ -105,6 +110,7 @@ class ServerFeaturesDto { json[r'map'] = this.map; json[r'oauth'] = this.oauth; json[r'oauthAutoLaunch'] = this.oauthAutoLaunch; + json[r'ocr'] = this.ocr; json[r'passwordLogin'] = this.passwordLogin; json[r'reverseGeocoding'] = this.reverseGeocoding; json[r'search'] = this.search; @@ -131,6 +137,7 @@ class ServerFeaturesDto { map: mapValueOfType(json, r'map')!, oauth: mapValueOfType(json, r'oauth')!, oauthAutoLaunch: mapValueOfType(json, r'oauthAutoLaunch')!, + ocr: mapValueOfType(json, r'ocr')!, passwordLogin: mapValueOfType(json, r'passwordLogin')!, reverseGeocoding: mapValueOfType(json, r'reverseGeocoding')!, search: mapValueOfType(json, r'search')!, @@ -192,6 +199,7 @@ class ServerFeaturesDto { 'map', 'oauth', 'oauthAutoLaunch', + 'ocr', 'passwordLogin', 'reverseGeocoding', 'search', diff --git a/mobile/openapi/lib/model/system_config_job_dto.dart b/mobile/openapi/lib/model/system_config_job_dto.dart index c0fed5cccc..3eeb9c7d3b 100644 --- a/mobile/openapi/lib/model/system_config_job_dto.dart +++ b/mobile/openapi/lib/model/system_config_job_dto.dart @@ -19,6 +19,7 @@ class SystemConfigJobDto { required this.metadataExtraction, required this.migration, required this.notifications, + required this.ocr, required this.search, required this.sidecar, required this.smartSearch, @@ -38,6 +39,8 @@ class SystemConfigJobDto { JobSettingsDto notifications; + JobSettingsDto ocr; + JobSettingsDto search; JobSettingsDto sidecar; @@ -56,6 +59,7 @@ class SystemConfigJobDto { other.metadataExtraction == metadataExtraction && other.migration == migration && other.notifications == notifications && + other.ocr == ocr && other.search == search && other.sidecar == sidecar && other.smartSearch == smartSearch && @@ -71,6 +75,7 @@ class SystemConfigJobDto { (metadataExtraction.hashCode) + (migration.hashCode) + (notifications.hashCode) + + (ocr.hashCode) + (search.hashCode) + (sidecar.hashCode) + (smartSearch.hashCode) + @@ -78,7 +83,7 @@ class SystemConfigJobDto { (videoConversion.hashCode); @override - String toString() => 'SystemConfigJobDto[backgroundTask=$backgroundTask, faceDetection=$faceDetection, library_=$library_, metadataExtraction=$metadataExtraction, migration=$migration, notifications=$notifications, search=$search, sidecar=$sidecar, smartSearch=$smartSearch, thumbnailGeneration=$thumbnailGeneration, videoConversion=$videoConversion]'; + String toString() => 'SystemConfigJobDto[backgroundTask=$backgroundTask, faceDetection=$faceDetection, library_=$library_, metadataExtraction=$metadataExtraction, migration=$migration, notifications=$notifications, ocr=$ocr, search=$search, sidecar=$sidecar, smartSearch=$smartSearch, thumbnailGeneration=$thumbnailGeneration, videoConversion=$videoConversion]'; Map toJson() { final json = {}; @@ -88,6 +93,7 @@ class SystemConfigJobDto { json[r'metadataExtraction'] = this.metadataExtraction; json[r'migration'] = this.migration; json[r'notifications'] = this.notifications; + json[r'ocr'] = this.ocr; json[r'search'] = this.search; json[r'sidecar'] = this.sidecar; json[r'smartSearch'] = this.smartSearch; @@ -111,6 +117,7 @@ class SystemConfigJobDto { metadataExtraction: JobSettingsDto.fromJson(json[r'metadataExtraction'])!, migration: JobSettingsDto.fromJson(json[r'migration'])!, notifications: JobSettingsDto.fromJson(json[r'notifications'])!, + ocr: JobSettingsDto.fromJson(json[r'ocr'])!, search: JobSettingsDto.fromJson(json[r'search'])!, sidecar: JobSettingsDto.fromJson(json[r'sidecar'])!, smartSearch: JobSettingsDto.fromJson(json[r'smartSearch'])!, @@ -169,6 +176,7 @@ class SystemConfigJobDto { 'metadataExtraction', 'migration', 'notifications', + 'ocr', 'search', 'sidecar', 'smartSearch', diff --git a/mobile/openapi/lib/model/system_config_machine_learning_dto.dart b/mobile/openapi/lib/model/system_config_machine_learning_dto.dart index a4a9ca7d82..257183269d 100644 --- a/mobile/openapi/lib/model/system_config_machine_learning_dto.dart +++ b/mobile/openapi/lib/model/system_config_machine_learning_dto.dart @@ -17,6 +17,7 @@ class SystemConfigMachineLearningDto { required this.duplicateDetection, required this.enabled, required this.facialRecognition, + required this.ocr, this.url, this.urls = const [], }); @@ -29,6 +30,8 @@ class SystemConfigMachineLearningDto { FacialRecognitionConfig facialRecognition; + OcrConfig ocr; + /// This property was deprecated in v1.122.0 /// /// Please note: This property should have been non-nullable! Since the specification file @@ -46,6 +49,7 @@ class SystemConfigMachineLearningDto { other.duplicateDetection == duplicateDetection && other.enabled == enabled && other.facialRecognition == facialRecognition && + other.ocr == ocr && other.url == url && _deepEquality.equals(other.urls, urls); @@ -56,11 +60,12 @@ class SystemConfigMachineLearningDto { (duplicateDetection.hashCode) + (enabled.hashCode) + (facialRecognition.hashCode) + + (ocr.hashCode) + (url == null ? 0 : url!.hashCode) + (urls.hashCode); @override - String toString() => 'SystemConfigMachineLearningDto[clip=$clip, duplicateDetection=$duplicateDetection, enabled=$enabled, facialRecognition=$facialRecognition, url=$url, urls=$urls]'; + String toString() => 'SystemConfigMachineLearningDto[clip=$clip, duplicateDetection=$duplicateDetection, enabled=$enabled, facialRecognition=$facialRecognition, ocr=$ocr, url=$url, urls=$urls]'; Map toJson() { final json = {}; @@ -68,6 +73,7 @@ class SystemConfigMachineLearningDto { json[r'duplicateDetection'] = this.duplicateDetection; json[r'enabled'] = this.enabled; json[r'facialRecognition'] = this.facialRecognition; + json[r'ocr'] = this.ocr; if (this.url != null) { json[r'url'] = this.url; } else { @@ -90,6 +96,7 @@ class SystemConfigMachineLearningDto { duplicateDetection: DuplicateDetectionConfig.fromJson(json[r'duplicateDetection'])!, enabled: mapValueOfType(json, r'enabled')!, facialRecognition: FacialRecognitionConfig.fromJson(json[r'facialRecognition'])!, + ocr: OcrConfig.fromJson(json[r'ocr'])!, url: mapValueOfType(json, r'url'), urls: json[r'urls'] is Iterable ? (json[r'urls'] as Iterable).cast().toList(growable: false) @@ -145,6 +152,7 @@ class SystemConfigMachineLearningDto { 'duplicateDetection', 'enabled', 'facialRecognition', + 'ocr', 'urls', }; } diff --git a/open-api/immich-openapi-specs.json b/open-api/immich-openapi-specs.json index 5a7886253e..a02427c563 100644 --- a/open-api/immich-openapi-specs.json +++ b/open-api/immich-openapi-specs.json @@ -6151,6 +6151,48 @@ "description": "This endpoint requires the `asset.read` permission." } }, + "/search/ocr": { + "post": { + "operationId": "searchOcr", + "parameters": [], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/OcrSearchDto" + } + } + }, + "required": true + }, + "responses": { + "200": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/SearchResponseDto" + } + } + }, + "description": "" + } + }, + "security": [ + { + "bearer": [] + }, + { + "cookie": [] + }, + { + "api_key": [] + } + ], + "tags": [ + "Search" + ] + } + }, "/search/person": { "get": { "operationId": "searchPerson", @@ -10325,6 +10367,9 @@ "notifications": { "$ref": "#/components/schemas/JobStatusDto" }, + "ocr": { + "$ref": "#/components/schemas/JobStatusDto" + }, "search": { "$ref": "#/components/schemas/JobStatusDto" }, @@ -10354,6 +10399,7 @@ "metadataExtraction", "migration", "notifications", + "ocr", "search", "sidecar", "smartSearch", @@ -12006,7 +12052,8 @@ "sidecar", "library", "notifications", - "backupDatabase" + "backupDatabase", + "ocr" ], "type": "string" }, @@ -12866,6 +12913,162 @@ ], "type": "string" }, + "OcrConfig": { + "properties": { + "enabled": { + "type": "boolean" + }, + "minScore": { + "format": "double", + "maximum": 1, + "minimum": 0.1, + "type": "number" + }, + "modelName": { + "type": "string" + } + }, + "required": [ + "enabled", + "minScore", + "modelName" + ], + "type": "object" + }, + "OcrSearchDto": { + "properties": { + "albumIds": { + "items": { + "format": "uuid", + "type": "string" + }, + "type": "array" + }, + "city": { + "nullable": true, + "type": "string" + }, + "country": { + "nullable": true, + "type": "string" + }, + "createdAfter": { + "format": "date-time", + "type": "string" + }, + "createdBefore": { + "format": "date-time", + "type": "string" + }, + "deviceId": { + "type": "string" + }, + "isEncoded": { + "type": "boolean" + }, + "isFavorite": { + "type": "boolean" + }, + "isMotion": { + "type": "boolean" + }, + "isNotInAlbum": { + "type": "boolean" + }, + "isOffline": { + "type": "boolean" + }, + "lensModel": { + "nullable": true, + "type": "string" + }, + "libraryId": { + "format": "uuid", + "nullable": true, + "type": "string" + }, + "make": { + "type": "string" + }, + "model": { + "nullable": true, + "type": "string" + }, + "ocr": { + "type": "string" + }, + "page": { + "minimum": 1, + "type": "number" + }, + "personIds": { + "items": { + "format": "uuid", + "type": "string" + }, + "type": "array" + }, + "rating": { + "maximum": 5, + "minimum": -1, + "type": "number" + }, + "state": { + "nullable": true, + "type": "string" + }, + "tagIds": { + "items": { + "format": "uuid", + "type": "string" + }, + "nullable": true, + "type": "array" + }, + "takenAfter": { + "format": "date-time", + "type": "string" + }, + "takenBefore": { + "format": "date-time", + "type": "string" + }, + "trashedAfter": { + "format": "date-time", + "type": "string" + }, + "trashedBefore": { + "format": "date-time", + "type": "string" + }, + "type": { + "allOf": [ + { + "$ref": "#/components/schemas/AssetTypeEnum" + } + ] + }, + "updatedAfter": { + "format": "date-time", + "type": "string" + }, + "updatedBefore": { + "format": "date-time", + "type": "string" + }, + "visibility": { + "allOf": [ + { + "$ref": "#/components/schemas/AssetVisibility" + } + ] + } + }, + "required": [ + "ocr" + ], + "type": "object" + }, "OnThisDayDto": { "properties": { "year": { @@ -14002,6 +14205,9 @@ "oauthAutoLaunch": { "type": "boolean" }, + "ocr": { + "type": "boolean" + }, "passwordLogin": { "type": "boolean" }, @@ -14030,6 +14236,7 @@ "map", "oauth", "oauthAutoLaunch", + "ocr", "passwordLogin", "reverseGeocoding", "search", @@ -16281,6 +16488,9 @@ "notifications": { "$ref": "#/components/schemas/JobSettingsDto" }, + "ocr": { + "$ref": "#/components/schemas/JobSettingsDto" + }, "search": { "$ref": "#/components/schemas/JobSettingsDto" }, @@ -16304,6 +16514,7 @@ "metadataExtraction", "migration", "notifications", + "ocr", "search", "sidecar", "smartSearch", @@ -16386,6 +16597,9 @@ "facialRecognition": { "$ref": "#/components/schemas/FacialRecognitionConfig" }, + "ocr": { + "$ref": "#/components/schemas/OcrConfig" + }, "url": { "deprecated": true, "description": "This property was deprecated in v1.122.0", @@ -16406,6 +16620,7 @@ "duplicateDetection", "enabled", "facialRecognition", + "ocr", "urls" ], "type": "object" diff --git a/open-api/typescript-sdk/src/fetch-client.ts b/open-api/typescript-sdk/src/fetch-client.ts index a74afd733d..35b889cc4d 100644 --- a/open-api/typescript-sdk/src/fetch-client.ts +++ b/open-api/typescript-sdk/src/fetch-client.ts @@ -678,6 +678,7 @@ export type AllJobStatusResponseDto = { metadataExtraction: JobStatusDto; migration: JobStatusDto; notifications: JobStatusDto; + ocr: JobStatusDto; search: JobStatusDto; sidecar: JobStatusDto; smartSearch: JobStatusDto; @@ -957,6 +958,37 @@ export type SearchResponseDto = { albums: SearchAlbumResponseDto; assets: SearchAssetResponseDto; }; +export type OcrSearchDto = { + albumIds?: string[]; + city?: string | null; + country?: string | null; + createdAfter?: string; + createdBefore?: string; + deviceId?: string; + isEncoded?: boolean; + isFavorite?: boolean; + isMotion?: boolean; + isNotInAlbum?: boolean; + isOffline?: boolean; + lensModel?: string | null; + libraryId?: string | null; + make?: string; + model?: string | null; + ocr: string; + page?: number; + personIds?: string[]; + rating?: number; + state?: string | null; + tagIds?: string[] | null; + takenAfter?: string; + takenBefore?: string; + trashedAfter?: string; + trashedBefore?: string; + "type"?: AssetTypeEnum; + updatedAfter?: string; + updatedBefore?: string; + visibility?: AssetVisibility; +}; export type PlacesResponseDto = { admin1name?: string; admin2name?: string; @@ -1117,6 +1149,7 @@ export type ServerFeaturesDto = { map: boolean; oauth: boolean; oauthAutoLaunch: boolean; + ocr: boolean; passwordLogin: boolean; reverseGeocoding: boolean; search: boolean; @@ -1362,6 +1395,7 @@ export type SystemConfigJobDto = { metadataExtraction: JobSettingsDto; migration: JobSettingsDto; notifications: JobSettingsDto; + ocr: JobSettingsDto; search: JobSettingsDto; sidecar: JobSettingsDto; smartSearch: JobSettingsDto; @@ -1398,11 +1432,17 @@ export type FacialRecognitionConfig = { minScore: number; modelName: string; }; +export type OcrConfig = { + enabled: boolean; + minScore: number; + modelName: string; +}; export type SystemConfigMachineLearningDto = { clip: ClipConfig; duplicateDetection: DuplicateDetectionConfig; enabled: boolean; facialRecognition: FacialRecognitionConfig; + ocr: OcrConfig; /** This property was deprecated in v1.122.0 */ url?: string; urls: string[]; @@ -3457,6 +3497,18 @@ export function searchAssets({ metadataSearchDto }: { body: metadataSearchDto }))); } +export function searchOcr({ ocrSearchDto }: { + ocrSearchDto: OcrSearchDto; +}, opts?: Oazapfts.RequestOpts) { + return oazapfts.ok(oazapfts.fetchJson<{ + status: 200; + data: SearchResponseDto; + }>("/search/ocr", oazapfts.json({ + ...opts, + method: "POST", + body: ocrSearchDto + }))); +} /** * This endpoint requires the `person.read` permission. */ @@ -4862,7 +4914,8 @@ export enum JobName { Sidecar = "sidecar", Library = "library", Notifications = "notifications", - BackupDatabase = "backupDatabase" + BackupDatabase = "backupDatabase", + Ocr = "ocr" } export enum JobCommand { Start = "start", diff --git a/server/src/config.ts b/server/src/config.ts index 0d1e293be8..b26735e09e 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -69,6 +69,11 @@ export interface SystemConfig { minFaces: number; maxDistance: number; }; + ocr: { + enabled: boolean; + modelName: string; + minScore: number; + }; }; map: { enabled: boolean; @@ -219,6 +224,7 @@ export const defaults = Object.freeze({ [QueueName.ThumbnailGeneration]: { concurrency: 3 }, [QueueName.VideoConversion]: { concurrency: 1 }, [QueueName.Notification]: { concurrency: 5 }, + [QueueName.OCR]: { concurrency: 1 }, }, logging: { enabled: true, @@ -242,6 +248,11 @@ export const defaults = Object.freeze({ maxDistance: 0.5, minFaces: 3, }, + ocr: { + enabled: true, + modelName: 'paddle', + minScore: 0.9, + }, }, map: { enabled: true, diff --git a/server/src/controllers/search.controller.ts b/server/src/controllers/search.controller.ts index f9aa6bce81..777525755f 100644 --- a/server/src/controllers/search.controller.ts +++ b/server/src/controllers/search.controller.ts @@ -6,6 +6,7 @@ import { PersonResponseDto } from 'src/dtos/person.dto'; import { LargeAssetSearchDto, MetadataSearchDto, + OcrSearchDto, PlacesResponseDto, RandomSearchDto, SearchExploreResponseDto, @@ -61,6 +62,13 @@ export class SearchController { return this.service.searchSmart(auth, dto); } + @Post('ocr') + @HttpCode(HttpStatus.OK) + @Authenticated() + searchOcr(@Auth() auth: AuthDto, @Body() dto: OcrSearchDto): Promise { + return this.service.searchOcr(auth, dto); + } + @Get('explore') @Authenticated({ permission: Permission.AssetRead }) getExploreData(@Auth() auth: AuthDto): Promise { diff --git a/server/src/dtos/job.dto.ts b/server/src/dtos/job.dto.ts index 2123b65878..381b6a6f8c 100644 --- a/server/src/dtos/job.dto.ts +++ b/server/src/dtos/job.dto.ts @@ -93,4 +93,7 @@ export class AllJobStatusResponseDto implements Record @ApiProperty({ type: JobStatusDto }) [QueueName.BackupDatabase]!: JobStatusDto; + + @ApiProperty({ type: JobStatusDto }) + [QueueName.OCR]!: JobStatusDto; } diff --git a/server/src/dtos/model-config.dto.ts b/server/src/dtos/model-config.dto.ts index f8b9e2043f..3545699252 100644 --- a/server/src/dtos/model-config.dto.ts +++ b/server/src/dtos/model-config.dto.ts @@ -46,3 +46,12 @@ export class FacialRecognitionConfig extends ModelConfig { @ApiProperty({ type: 'integer' }) minFaces!: number; } + +export class OcrConfig extends ModelConfig { + @IsNumber() + @Min(0.1) + @Max(1) + @Type(() => Number) + @ApiProperty({ type: 'number', format: 'double' }) + minScore!: number; +} diff --git a/server/src/dtos/search.dto.ts b/server/src/dtos/search.dto.ts index ac7bf4feb2..8eca3bdbe1 100644 --- a/server/src/dtos/search.dto.ts +++ b/server/src/dtos/search.dto.ts @@ -218,6 +218,18 @@ export class SmartSearchDto extends BaseSearchWithResultsDto { page?: number; } +export class OcrSearchDto extends BaseSearchDto { + @IsString() + @IsNotEmpty() + ocr!: string; + + @IsInt() + @Min(1) + @Type(() => Number) + @Optional() + page?: number; +} + export class SearchPlacesDto { @IsString() @IsNotEmpty() diff --git a/server/src/dtos/server.dto.ts b/server/src/dtos/server.dto.ts index 47442ad4fb..d7589c8a29 100644 --- a/server/src/dtos/server.dto.ts +++ b/server/src/dtos/server.dto.ts @@ -171,6 +171,7 @@ export class ServerFeaturesDto { sidecar!: boolean; search!: boolean; email!: boolean; + ocr!: boolean; } export interface ReleaseNotification { diff --git a/server/src/dtos/system-config.dto.ts b/server/src/dtos/system-config.dto.ts index 8a58995de7..3d5d944779 100644 --- a/server/src/dtos/system-config.dto.ts +++ b/server/src/dtos/system-config.dto.ts @@ -16,7 +16,7 @@ import { } from 'class-validator'; import { SystemConfig } from 'src/config'; import { PropertyLifecycle } from 'src/decorators'; -import { CLIPConfig, DuplicateDetectionConfig, FacialRecognitionConfig } from 'src/dtos/model-config.dto'; +import { CLIPConfig, DuplicateDetectionConfig, FacialRecognitionConfig, OcrConfig } from 'src/dtos/model-config.dto'; import { AudioCodec, CQMode, @@ -202,6 +202,12 @@ class SystemConfigJobDto implements Record @Type(() => JobSettingsDto) [QueueName.FaceDetection]!: JobSettingsDto; + @ApiProperty({ type: JobSettingsDto }) + @ValidateNested() + @IsObject() + @Type(() => JobSettingsDto) + [QueueName.OCR]!: JobSettingsDto; + @ApiProperty({ type: JobSettingsDto }) @ValidateNested() @IsObject() @@ -286,6 +292,11 @@ class SystemConfigMachineLearningDto { @ValidateNested() @IsObject() facialRecognition!: FacialRecognitionConfig; + + @Type(() => OcrConfig) + @ValidateNested() + @IsObject() + ocr!: OcrConfig; } enum MapTheme { diff --git a/server/src/entities/ocr.entity.ts b/server/src/entities/ocr.entity.ts new file mode 100644 index 0000000000..b617de4e02 --- /dev/null +++ b/server/src/entities/ocr.entity.ts @@ -0,0 +1,5 @@ +export class OcrEntity { + id!: string; + assetId!: string; + text!: string; +} diff --git a/server/src/enum.ts b/server/src/enum.ts index 646138b060..7143e1ca13 100644 --- a/server/src/enum.ts +++ b/server/src/enum.ts @@ -511,6 +511,7 @@ export enum QueueName { Library = 'library', Notification = 'notifications', BackupDatabase = 'backupDatabase', + OCR = 'ocr', } export enum JobName { @@ -583,6 +584,11 @@ export enum JobName { TagCleanup = 'TagCleanup', VersionCheck = 'VersionCheck', + + // OCR + QUEUE_OCR = 'queue-ocr', + OCR = 'ocr', + OCR_CLEANUP = 'ocr-cleanup', } export enum JobCommand { diff --git a/server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts b/server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts new file mode 100644 index 0000000000..1ede7e3bb4 --- /dev/null +++ b/server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts @@ -0,0 +1,19 @@ +import { MigrationInterface, QueryRunner } from 'typeorm'; + +export class UpsertOcrAssetJobStatus1743429240851 implements MigrationInterface { + name = 'UpsertOcrAssetJobStatus1743429240851'; + + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(` + ALTER TABLE asset_job_status + ADD COLUMN IF NOT EXISTS "ocrAt" TIMESTAMP WITH TIME ZONE; + `); + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(` + ALTER TABLE asset_job_status + DROP COLUMN IF EXISTS "ocrAt"; + `); + } +} diff --git a/server/src/migrations/1743429592349-AddOcrTable.ts b/server/src/migrations/1743429592349-AddOcrTable.ts new file mode 100644 index 0000000000..4c1a85179e --- /dev/null +++ b/server/src/migrations/1743429592349-AddOcrTable.ts @@ -0,0 +1,22 @@ +import { MigrationInterface, QueryRunner } from 'typeorm'; + +export class AddOcrTable1743429592349 implements MigrationInterface { + name = 'AddOcrTable1743429592349'; + + public async up(queryRunner: QueryRunner): Promise { + await queryRunner.query(` + CREATE TABLE IF NOT EXISTS "asset_ocr" + ( + "id" uuid NOT NULL DEFAULT uuid_generate_v4(), + "assetId" uuid NOT NULL, + "text" text, + CONSTRAINT "PK_asset_ocr_id" PRIMARY KEY ("id") + ); + `); + } + + public async down(queryRunner: QueryRunner): Promise { + await queryRunner.query(`ALTER TABLE "asset_ocr" DROP CONSTRAINT "FK_asset_ocr_assetId"`); + await queryRunner.query(`DROP TABLE "asset_ocr"`); + } +} diff --git a/server/src/repositories/asset-job.repository.ts b/server/src/repositories/asset-job.repository.ts index ca1291b852..00a11b0529 100644 --- a/server/src/repositories/asset-job.repository.ts +++ b/server/src/repositories/asset-job.repository.ts @@ -348,6 +348,23 @@ export class AssetJobRepository { .stream(); } + @GenerateSql({ params: [], stream: true }) + streamForOcrJob(force?: boolean) { + return this.db + .selectFrom('assets') + .select(['assets.id']) + .$if(!force, (qb) => + qb + .leftJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') + .where((eb) => + eb.or([eb('asset_job_status.ocrAt', 'is', null), eb('asset_job_status.assetId', 'is', null)]), + ) + .where('assets.visibility', '!=', AssetVisibility.HIDDEN), + ) + .where('assets.deletedAt', 'is', null) + .stream(); + } + @GenerateSql({ params: [DummyValue.DATE], stream: true }) streamForMigrationJob() { return this.db.selectFrom('asset').select(['id']).where('asset.deletedAt', 'is', null).stream(); diff --git a/server/src/repositories/asset.repository.ts b/server/src/repositories/asset.repository.ts index ae595e35ae..b5a7b19dcd 100644 --- a/server/src/repositories/asset.repository.ts +++ b/server/src/repositories/asset.repository.ts @@ -203,6 +203,7 @@ export class AssetRepository { metadataExtractedAt: eb.ref('excluded.metadataExtractedAt'), previewAt: eb.ref('excluded.previewAt'), thumbnailAt: eb.ref('excluded.thumbnailAt'), + ocrAt: eb.ref('excluded.ocrAt'), }, values[0], ), diff --git a/server/src/repositories/index.ts b/server/src/repositories/index.ts index a01b46f3bd..4d5997f519 100644 --- a/server/src/repositories/index.ts +++ b/server/src/repositories/index.ts @@ -25,6 +25,7 @@ import { MetadataRepository } from 'src/repositories/metadata.repository'; import { MoveRepository } from 'src/repositories/move.repository'; import { NotificationRepository } from 'src/repositories/notification.repository'; import { OAuthRepository } from 'src/repositories/oauth.repository'; +import { OcrRepository } from 'src/repositories/ocr.repository'; import { PartnerRepository } from 'src/repositories/partner.repository'; import { PersonRepository } from 'src/repositories/person.repository'; import { ProcessRepository } from 'src/repositories/process.repository'; @@ -72,6 +73,7 @@ export const repositories = [ MoveRepository, NotificationRepository, OAuthRepository, + OcrRepository, PartnerRepository, PersonRepository, ProcessRepository, diff --git a/server/src/repositories/job.repository.ts b/server/src/repositories/job.repository.ts index 5acd8d5746..84b7b4b58d 100644 --- a/server/src/repositories/job.repository.ts +++ b/server/src/repositories/job.repository.ts @@ -220,6 +220,9 @@ export class JobRepository { case JobName.FacialRecognitionQueueAll: { return { jobId: JobName.FacialRecognitionQueueAll }; } + case JobName.QUEUE_OCR: { + return { jobId: JobName.QUEUE_OCR }; + } default: { return null; } diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index f880ed1298..2ad32a3e1d 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -14,6 +14,7 @@ export interface BoundingBox { export enum ModelTask { FACIAL_RECOGNITION = 'facial-recognition', SEARCH = 'clip', + OCR = 'ocr', } export enum ModelType { @@ -22,6 +23,7 @@ export enum ModelType { RECOGNITION = 'recognition', TEXTUAL = 'textual', VISUAL = 'visual', + OCR = 'ocr', } export type ModelPayload = { imagePath: string } | { text: string }; @@ -29,7 +31,7 @@ export type ModelPayload = { imagePath: string } | { text: string }; type ModelOptions = { modelName: string }; export type FaceDetectionOptions = ModelOptions & { minScore: number }; - +export type OcrOptions = ModelOptions & { minScore: number }; type VisualResponse = { imageHeight: number; imageWidth: number }; export type ClipVisualRequest = { [ModelTask.SEARCH]: { [ModelType.VISUAL]: ModelOptions } }; export type ClipVisualResponse = { [ModelTask.SEARCH]: string } & VisualResponse; @@ -37,6 +39,14 @@ export type ClipVisualResponse = { [ModelTask.SEARCH]: string } & VisualResponse export type ClipTextualRequest = { [ModelTask.SEARCH]: { [ModelType.TEXTUAL]: ModelOptions } }; export type ClipTextualResponse = { [ModelTask.SEARCH]: string }; +export type OCR = { + text: string; + confidence: number; +}; + +export type OcrRequest = { [ModelTask.OCR]: { [ModelType.OCR]: ModelOptions & { options: { minScore: number } } } }; +export type OcrResponse = { [ModelTask.OCR]: OCR } & VisualResponse; + export type FacialRecognitionRequest = { [ModelTask.FACIAL_RECOGNITION]: { [ModelType.DETECTION]: ModelOptions & { options: { minScore: number } }; @@ -52,7 +62,7 @@ export interface Face { export type FacialRecognitionResponse = { [ModelTask.FACIAL_RECOGNITION]: Face[] } & VisualResponse; export type DetectedFaces = { faces: Face[] } & VisualResponse; -export type MachineLearningRequest = ClipVisualRequest | ClipTextualRequest | FacialRecognitionRequest; +export type MachineLearningRequest = ClipVisualRequest | ClipTextualRequest | FacialRecognitionRequest | OcrRequest; export type TextEncodingOptions = ModelOptions & { language?: string }; @Injectable() @@ -192,4 +202,10 @@ export class MachineLearningRepository { return formData; } + + async ocr(urls: string[], imagePath: string, { modelName, minScore }: OcrOptions) { + const request = { [ModelTask.OCR]: { [ModelType.OCR]: { modelName, options: { minScore } } } }; + const response = await this.predict(urls, { imagePath }, request); + return response[ModelTask.OCR]; + } } diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts new file mode 100644 index 0000000000..182a592e06 --- /dev/null +++ b/server/src/repositories/ocr.repository.ts @@ -0,0 +1,74 @@ +import { Injectable } from '@nestjs/common'; +import { Kysely, sql } from 'kysely'; +import { InjectKysely } from 'nestjs-kysely'; +import { DB } from 'src/db'; +import { DummyValue, GenerateSql } from 'src/decorators'; +import { OcrEntity } from 'src/entities/ocr.entity'; + + +@Injectable() +export class OcrRepository { + constructor(@InjectKysely() private db: Kysely) {} + + @GenerateSql({ params: [DummyValue.UUID] }) + getOcrById(id: string): Promise { + return this.db + .selectFrom('asset_ocr') + .selectAll('asset_ocr') + .where('asset_ocr.assetId', '=', id) + .executeTakeFirst() as Promise; + } + + async insertOcrData(assetId: string, text: string): Promise { + await this.db + .insertInto('asset_ocr') + .values({ assetId, text }) + .execute(); + } + + async deleteAllOcr(): Promise { + await sql`truncate ${sql.table('asset_ocr')}`.execute(this.db); + } + + getAllOcr(options: Partial = {}): AsyncIterableIterator { + return this.db + .selectFrom('asset_ocr') + .selectAll('asset_ocr') + .$if(!!options.assetId, (qb) => qb.where('asset_ocr.assetId', '=', options.assetId!)) + .stream() as AsyncIterableIterator; + } + + + @GenerateSql() + async getLatestOcrDate(): Promise { + const result = (await this.db + .selectFrom('asset_job_status') + .select((eb) => sql`${eb.fn.max('asset_job_status.ocrAt')}::text`.as('latestDate')) + .executeTakeFirst()) as { latestDate: string } | undefined; + + return result?.latestDate; + } + + async updateOcrData(id: string, ocrData: string): Promise { + await this.db + .updateTable('asset_ocr') + .set({ text: ocrData }) + .where('id', '=', id) + .execute(); + } + + getOcrWithoutText(): Promise { + return this.db + .selectFrom('asset_ocr') + .selectAll('asset_ocr') + .where('text', 'is', null) + .execute() as Promise; + } + + async delete(ocr: OcrEntity[]): Promise { + await this.db + .deleteFrom('asset_ocr') + .where('id', 'in', ocr.map((o) => o.id)) + .execute(); + } +} diff --git a/server/src/repositories/search.repository.ts b/server/src/repositories/search.repository.ts index 88de2fb06f..aef9712a70 100644 --- a/server/src/repositories/search.repository.ts +++ b/server/src/repositories/search.repository.ts @@ -84,6 +84,11 @@ export interface SearchEmbeddingOptions { userIds: string[]; } +export interface SearchOcrOptions { + ocr: string; + userIds: string[]; +} + export interface SearchPeopleOptions { personIds?: string[]; } @@ -129,6 +134,8 @@ export type SmartSearchOptions = SearchDateOptions & SearchPeopleOptions & SearchTagOptions; +export type OcrSearchOptions = SearchDateOptions & SearchOcrOptions; + export type LargeAssetSearchOptions = AssetSearchOptions & { minFileSize?: number }; export interface FaceEmbeddingSearch extends SearchEmbeddingOptions { @@ -300,6 +307,35 @@ export class SearchRepository { return this.db.selectFrom('smart_search').selectAll().where('assetId', '=', assetId).executeTakeFirst(); } + @GenerateSql({ + params: [ + { page: 1, size: 100 }, + { + userIds: [DummyValue.UUID], + ocr: DummyValue.STRING, + }, + ], + }) + async searchOcr(pagination: SearchPaginationOptions, options: OcrSearchOptions) { + if (!isValidInteger(pagination.size, { min: 1, max: 1000 })) { + throw new Error(`Invalid value for 'size': ${pagination.size}`); + } + + const items = await this.db + .selectFrom('asset_ocr') + .selectAll() + .innerJoin('assets', 'assets.id', 'asset_ocr.assetId') + .where('assets.ownerId', '=', anyUuid(options.userIds)) + .where('asset_ocr.text', 'ilike', `%${options.ocr}%`) + .limit(pagination.size + 1) + .offset((pagination.page - 1) * pagination.size) + .execute() as any; + + const hasNextPage = items.length > pagination.size; + items.splice(pagination.size); + return { items, hasNextPage }; + } + @GenerateSql({ params: [ { diff --git a/server/src/schema/tables/asset_ocr.table.ts b/server/src/schema/tables/asset_ocr.table.ts new file mode 100644 index 0000000000..700d2c2b42 --- /dev/null +++ b/server/src/schema/tables/asset_ocr.table.ts @@ -0,0 +1,13 @@ +import { Column, CreateDateColumn, PrimaryGeneratedColumn, Table } from 'src/sql-tools'; + +@Table('asset_ocr') +export class AssetOcrTable { + @PrimaryGeneratedColumn() + id!: string; + + @Column({ type: 'uuid' }) + assetId!: string; + + @CreateDateColumn() + text!: string; +} diff --git a/server/src/services/base.service.ts b/server/src/services/base.service.ts index 2f0e272883..168fb90a2c 100644 --- a/server/src/services/base.service.ts +++ b/server/src/services/base.service.ts @@ -32,6 +32,7 @@ import { MetadataRepository } from 'src/repositories/metadata.repository'; import { MoveRepository } from 'src/repositories/move.repository'; import { NotificationRepository } from 'src/repositories/notification.repository'; import { OAuthRepository } from 'src/repositories/oauth.repository'; +import { OcrRepository } from 'src/repositories/ocr.repository'; import { PartnerRepository } from 'src/repositories/partner.repository'; import { PersonRepository } from 'src/repositories/person.repository'; import { ProcessRepository } from 'src/repositories/process.repository'; @@ -134,6 +135,7 @@ export class BaseService { protected moveRepository: MoveRepository, protected notificationRepository: NotificationRepository, protected oauthRepository: OAuthRepository, + protected ocrRepository: OcrRepository, protected partnerRepository: PartnerRepository, protected personRepository: PersonRepository, protected processRepository: ProcessRepository, diff --git a/server/src/services/index.ts b/server/src/services/index.ts index cad38ca1f4..5109eb3797 100644 --- a/server/src/services/index.ts +++ b/server/src/services/index.ts @@ -20,6 +20,7 @@ import { MemoryService } from 'src/services/memory.service'; import { MetadataService } from 'src/services/metadata.service'; import { NotificationAdminService } from 'src/services/notification-admin.service'; import { NotificationService } from 'src/services/notification.service'; +import { OcrService } from 'src/services/ocr.service'; import { PartnerService } from 'src/services/partner.service'; import { PersonService } from 'src/services/person.service'; import { SearchService } from 'src/services/search.service'; @@ -64,6 +65,7 @@ export const services = [ MetadataService, NotificationService, NotificationAdminService, + OcrService, PartnerService, PersonService, SearchService, diff --git a/server/src/services/job.service.ts b/server/src/services/job.service.ts index dc48c03bd1..47251b527a 100644 --- a/server/src/services/job.service.ts +++ b/server/src/services/job.service.ts @@ -237,6 +237,14 @@ export class JobService extends BaseService { return this.jobRepository.queue({ name: JobName.DatabaseBackup, data: { force } }); } + case QueueName.OCR: { + return this.jobRepository.queue({ name: JobName.QUEUE_OCR, data: { force } }); + } + + case QueueName.OCR: { + return this.jobRepository.queue({ name: JobName.QUEUE_OCR, data: { force } }); + } + default: { throw new BadRequestException(`Invalid job name: ${name}`); } @@ -300,6 +308,7 @@ export class JobService extends BaseService { if (config.nightlyTasks.clusterNewFaces) { jobs.push({ name: JobName.FacialRecognitionQueueAll, data: { force: false, nightly: true } }); + { name: JobName.QUEUE_OCR, data: { force: false, nightly: true } }, } await this.jobRepository.queueAll(jobs); @@ -353,6 +362,7 @@ export class JobService extends BaseService { const jobs: JobItem[] = [ { name: JobName.SmartSearch, data: item.data }, { name: JobName.AssetDetectFaces, data: item.data }, + { name: JobName.OCR, data: item.data }, ]; if (asset.type === AssetType.Video) { diff --git a/server/src/services/ocr.service.spec.ts b/server/src/services/ocr.service.spec.ts new file mode 100644 index 0000000000..e69de29bb2 diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts new file mode 100644 index 0000000000..cba16bf942 --- /dev/null +++ b/server/src/services/ocr.service.ts @@ -0,0 +1,108 @@ +import { Injectable } from '@nestjs/common'; +import { JOBS_ASSET_PAGINATION_SIZE } from 'src/constants'; +import { OnJob } from 'src/decorators'; +import { + JobName, + JobStatus, + QueueName, +} from 'src/enum'; +import { BaseService } from 'src/services/base.service'; +import { JobItem, JobOf } from 'src/types'; +import { getAssetFiles } from 'src/utils/asset.util'; +import { isOcrEnabled } from 'src/utils/misc'; + +@Injectable() +export class OcrService extends BaseService { + @OnJob({ name: JobName.OCR_CLEANUP, queue: QueueName.BACKGROUND_TASK }) + async handleOcrCleanup(): Promise { + const ocr = await this.ocrRepository.getOcrWithoutText(); + await this.ocrRepository.delete(ocr); + return JobStatus.SUCCESS; + } + + @OnJob({ name: JobName.QUEUE_OCR, queue: QueueName.OCR }) + async handleQueueOcr({ force, nightly }: JobOf): Promise { + const { machineLearning } = await this.getConfig({ withCache: false }); + if (!isOcrEnabled(machineLearning)) { + return JobStatus.SKIPPED; + } + + if (force) { + await this.ocrRepository.deleteAllOcr(); + } + + let jobs: JobItem[] = []; + const assets = this.assetJobRepository.streamForOcrJob(force); + + for await (const asset of assets) { + jobs.push({ name: JobName.OCR, data: { id: asset.id } }); + + if (jobs.length >= JOBS_ASSET_PAGINATION_SIZE) { + await this.jobRepository.queueAll(jobs); + jobs = []; + } + } + + await this.jobRepository.queueAll(jobs); + + if (force === undefined) { + await this.jobRepository.queue({ name: JobName.OCR_CLEANUP }); + } + + return JobStatus.SUCCESS; + } + + @OnJob({ name: JobName.OCR, queue: QueueName.OCR }) + async handleOcr({ id }: JobOf): Promise { + const { machineLearning } = await this.getConfig({ withCache: true }); + if (!isOcrEnabled(machineLearning)) { + return JobStatus.SKIPPED; + } + + const relations = { files: true }; + const asset = await this.assetRepository.getById(id, relations); + if (!asset) { + return JobStatus.FAILED; + } + if (!asset.files) { + return JobStatus.FAILED; + } + const { previewFile } = getAssetFiles(asset.files); + if (!previewFile) { + return JobStatus.FAILED; + } + const ocrResults = await this.machineLearningRepository.ocr( + machineLearning.urls, + previewFile.path, + machineLearning.ocr + ); + + if (!ocrResults || ocrResults.text.length === 0) { + this.logger.warn(`No OCR results for document ${id}`); + await this.assetRepository.upsertJobStatus({ + assetId: asset.id, + ocrAt: new Date(), + }); + return JobStatus.SUCCESS; + } + + this.logger.debug(`OCR ${id} has OCR results`); + + const ocr = await this.ocrRepository.getOcrById(id); + if (ocr) { + this.logger.debug(`Updating OCR for ${id}`); + await this.ocrRepository.updateOcrData(id, ocrResults.text); + } else { + this.logger.debug(`Inserting OCR for ${id}`); + await this.ocrRepository.insertOcrData(id, ocrResults.text); + } + + await this.assetRepository.upsertJobStatus({ + assetId: asset.id, + ocrAt: new Date(), + }); + this.logger.debug(`Processed OCR for ${id}`); + return JobStatus.SUCCESS; + } + +} \ No newline at end of file diff --git a/server/src/services/search.service.ts b/server/src/services/search.service.ts index 51a2c94338..e9ba4bcb46 100644 --- a/server/src/services/search.service.ts +++ b/server/src/services/search.service.ts @@ -7,6 +7,7 @@ import { LargeAssetSearchDto, mapPlaces, MetadataSearchDto, + OcrSearchDto, PlacesResponseDto, RandomSearchDto, SearchPeopleDto, @@ -22,7 +23,7 @@ import { AssetOrder, AssetVisibility, Permission } from 'src/enum'; import { BaseService } from 'src/services/base.service'; import { requireElevatedPermission } from 'src/utils/access'; import { getMyPartnerIds } from 'src/utils/asset.util'; -import { isSmartSearchEnabled } from 'src/utils/misc'; +import { isSmartSearchEnabled, isOcrEnabled } from 'src/utils/misc'; @Injectable() export class SearchService extends BaseService { @@ -145,6 +146,23 @@ export class SearchService extends BaseService { return this.mapResponse(items, hasNextPage ? (page + 1).toString() : null, { auth }); } + async searchOcr(auth: AuthDto, dto: OcrSearchDto): Promise { + const { machineLearning } = await this.getConfig({ withCache: false }); + if (!isOcrEnabled(machineLearning)) { + throw new BadRequestException('OCR is not enabled'); + } + + const userIds = await this.getUserIdsToSearch(auth); + const page = dto.page ?? 1; + const size = dto.size || 250; + const { items, hasNextPage } = await this.searchRepository.searchOcr( + { page, size }, + { ...dto, userIds }, + ); + + return this.mapResponse(items, hasNextPage ? (page + 1).toString() : null, { auth }); + } + async getAssetsByCity(auth: AuthDto): Promise { const userIds = await this.getUserIdsToSearch(auth); const assets = await this.searchRepository.getAssetsByCity(userIds); diff --git a/server/src/services/server.service.ts b/server/src/services/server.service.ts index dae484cce8..e3dc0efcf1 100644 --- a/server/src/services/server.service.ts +++ b/server/src/services/server.service.ts @@ -19,7 +19,7 @@ import { UserStatsQueryResponse } from 'src/repositories/user.repository'; import { BaseService } from 'src/services/base.service'; import { asHumanReadable } from 'src/utils/bytes'; import { mimeTypes } from 'src/utils/mime-types'; -import { isDuplicateDetectionEnabled, isFacialRecognitionEnabled, isSmartSearchEnabled } from 'src/utils/misc'; +import { isDuplicateDetectionEnabled, isFacialRecognitionEnabled, isOcrEnabled, isSmartSearchEnabled } from 'src/utils/misc'; @Injectable() export class ServerService extends BaseService { @@ -97,6 +97,7 @@ export class ServerService extends BaseService { trash: trash.enabled, oauth: oauth.enabled, oauthAutoLaunch: oauth.autoLaunch, + ocr: isOcrEnabled(machineLearning), passwordLogin: passwordLogin.enabled, configFile: !!configFile, email: notifications.smtp.enabled, diff --git a/server/src/types.ts b/server/src/types.ts index 9e54de80bb..9ad8f2e503 100644 --- a/server/src/types.ts +++ b/server/src/types.ts @@ -367,7 +367,12 @@ export type JobItem = | { name: JobName.NotifyUserSignup; data: INotifySignupJob } // Version check - | { name: JobName.VersionCheck; data: IBaseJob }; + | { name: JobName.VersionCheck; data: IBaseJob } + + // OCR + | { name: JobName.QUEUE_OCR; data: INightlyJob } + | { name: JobName.OCR; data: IEntityJob } + | { name: JobName.OCR_CLEANUP; data?: IBaseJob }; export type VectorExtension = (typeof VECTOR_EXTENSIONS)[number]; diff --git a/server/src/utils/misc.ts b/server/src/utils/misc.ts index a32632b52d..b9741c3b44 100644 --- a/server/src/utils/misc.ts +++ b/server/src/utils/misc.ts @@ -95,6 +95,8 @@ export const unsetDeep = (object: unknown, key: string) => { const isMachineLearningEnabled = (machineLearning: SystemConfig['machineLearning']) => machineLearning.enabled; export const isSmartSearchEnabled = (machineLearning: SystemConfig['machineLearning']) => isMachineLearningEnabled(machineLearning) && machineLearning.clip.enabled; +export const isOcrEnabled = (machineLearning: SystemConfig['machineLearning']) => + isMachineLearningEnabled(machineLearning) && machineLearning.ocr.enabled; export const isFacialRecognitionEnabled = (machineLearning: SystemConfig['machineLearning']) => isMachineLearningEnabled(machineLearning) && machineLearning.facialRecognition.enabled; export const isDuplicateDetectionEnabled = (machineLearning: SystemConfig['machineLearning']) => diff --git a/web/src/lib/components/admin-page/jobs/jobs-panel.svelte b/web/src/lib/components/admin-page/jobs/jobs-panel.svelte index 463bcb3d20..51a072b51a 100644 --- a/web/src/lib/components/admin-page/jobs/jobs-panel.svelte +++ b/web/src/lib/components/admin-page/jobs/jobs-panel.svelte @@ -19,6 +19,7 @@ mdiTable, mdiTagFaces, mdiVideo, + mdiOcr, } from '@mdi/js'; import type { Component } from 'svelte'; import { t } from 'svelte-i18n'; @@ -124,6 +125,14 @@ handleCommand: handleConfirmCommand, disabled: !$featureFlags.facialRecognition, }, + [JobName.Ocr]: { + icon: mdiOcr, + title: $getJobName(JobName.Ocr), + subtitle: $t('admin.ocr_job_description'), + allText: $t('all'), + missingText: $t('missing'), + disabled: !$featureFlags.ocr, + }, [JobName.VideoConversion]: { icon: mdiVideo, title: $getJobName(JobName.VideoConversion), diff --git a/web/src/lib/components/admin-page/settings/job-settings/job-settings.svelte b/web/src/lib/components/admin-page/settings/job-settings/job-settings.svelte index e9f54e7ee8..77dd212167 100644 --- a/web/src/lib/components/admin-page/settings/job-settings/job-settings.svelte +++ b/web/src/lib/components/admin-page/settings/job-settings/job-settings.svelte @@ -31,6 +31,7 @@ JobName.VideoConversion, JobName.StorageTemplateMigration, JobName.Migration, + JobName.Ocr, ]; // eslint-disable-next-line @typescript-eslint/no-explicit-any diff --git a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte index acc920981b..6265249f16 100644 --- a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte +++ b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte @@ -218,6 +218,42 @@ + +
+ + + + + +
+ onReset({ ...options, configKeys: ['machineLearning'] })} onSave={() => onSave({ machineLearning: config.machineLearning })} diff --git a/web/src/lib/components/shared-components/search-bar/search-bar.svelte b/web/src/lib/components/shared-components/search-bar/search-bar.svelte index 05816d2d76..60e5e86c7e 100644 --- a/web/src/lib/components/shared-components/search-bar/search-bar.svelte +++ b/web/src/lib/components/shared-components/search-bar/search-bar.svelte @@ -8,7 +8,7 @@ import { handlePromiseError } from '$lib/utils'; import { generateId } from '$lib/utils/generate-id'; import { getMetadataSearchQuery } from '$lib/utils/metadata-search'; - import type { MetadataSearchDto, SmartSearchDto } from '@immich/sdk'; + import type { MetadataSearchDto, OcrSearchDto, SmartSearchDto } from '@immich/sdk'; import { IconButton, modalManager } from '@immich/ui'; import { mdiClose, mdiMagnify, mdiTune } from '@mdi/js'; import { onDestroy, tick } from 'svelte'; @@ -18,7 +18,7 @@ interface Props { value?: string; grayTheme: boolean; - searchQuery?: MetadataSearchDto | SmartSearchDto; + searchQuery?: MetadataSearchDto | SmartSearchDto | OcrSearchDto; } let { value = $bindable(''), grayTheme, searchQuery = {} }: Props = $props(); @@ -39,7 +39,7 @@ searchStore.isSearchEnabled = false; }); - const handleSearch = async (payload: SmartSearchDto | MetadataSearchDto) => { + const handleSearch = async (payload: SmartSearchDto | MetadataSearchDto | OcrSearchDto) => { const params = getMetadataSearchQuery(payload); closeDropdown(); @@ -107,7 +107,10 @@ const onSubmit = () => { const searchType = getSearchType(); - let payload: SmartSearchDto | MetadataSearchDto = {} as SmartSearchDto | MetadataSearchDto; + let payload: SmartSearchDto | MetadataSearchDto | OcrSearchDto = {} as + | SmartSearchDto + | MetadataSearchDto + | OcrSearchDto; switch (searchType) { case 'smart': { @@ -122,6 +125,10 @@ payload = { description: value } as MetadataSearchDto; break; } + case 'ocr': { + payload = { ocr: value } as OcrSearchDto; + break; + } } handlePromiseError(handleSearch(payload)); @@ -171,7 +178,7 @@ onSubmit(); }; - function getSearchType(): 'smart' | 'metadata' | 'description' { + function getSearchType(): 'smart' | 'metadata' | 'description' | 'ocr' { const searchType = localStorage.getItem('searchQueryType'); switch (searchType) { case 'smart': { @@ -183,6 +190,9 @@ case 'description': { return 'description'; } + case 'ocr': { + return 'ocr'; + } default: { return 'smart'; } @@ -201,6 +211,9 @@ case 'description': { return $t('description'); } + case 'ocr': { + return $t('ocr'); + } } } diff --git a/web/src/lib/components/shared-components/search-bar/search-text-section.svelte b/web/src/lib/components/shared-components/search-bar/search-text-section.svelte index 1cb07ad4d7..df894230a1 100644 --- a/web/src/lib/components/shared-components/search-bar/search-text-section.svelte +++ b/web/src/lib/components/shared-components/search-bar/search-text-section.svelte @@ -4,7 +4,7 @@ interface Props { query: string | undefined; - queryType?: 'smart' | 'metadata' | 'description'; + queryType?: 'smart' | 'metadata' | 'description' | 'ocr'; } let { query = $bindable(), queryType = $bindable('smart') }: Props = $props(); @@ -28,6 +28,7 @@ bind:group={queryType} value="description" /> + @@ -63,4 +64,15 @@ bind:value={query} aria-labelledby="description-label" /> +{:else if queryType === 'ocr'} + + {/if} diff --git a/web/src/lib/constants.ts b/web/src/lib/constants.ts index a4cdb656b4..0997923573 100644 --- a/web/src/lib/constants.ts +++ b/web/src/lib/constants.ts @@ -136,9 +136,15 @@ export enum QueryType { SMART = 'smart', METADATA = 'metadata', DESCRIPTION = 'description', + OCR = 'ocr', } -export const validQueryTypes = new Set([QueryType.SMART, QueryType.METADATA, QueryType.DESCRIPTION]); +export const validQueryTypes = new Set([ + QueryType.SMART, + QueryType.METADATA, + QueryType.DESCRIPTION, + QueryType.OCR, +]); export const locales = [ { code: 'af-ZA', name: 'Afrikaans (South Africa)' }, diff --git a/web/src/lib/modals/SearchFilterModal.svelte b/web/src/lib/modals/SearchFilterModal.svelte index b9841c311e..1cb729f26d 100644 --- a/web/src/lib/modals/SearchFilterModal.svelte +++ b/web/src/lib/modals/SearchFilterModal.svelte @@ -6,7 +6,8 @@ export type SearchFilter = { query: string; - queryType: 'smart' | 'metadata' | 'description'; + ocr: string; + queryType: 'smart' | 'metadata' | 'description' | 'ocr'; personIds: SvelteSet; tagIds: SvelteSet | null; location: SearchLocationFilter; @@ -33,15 +34,15 @@ import { preferences } from '$lib/stores/user.store'; import { parseUtcDate } from '$lib/utils/date-time'; import { generateId } from '$lib/utils/generate-id'; - import { AssetTypeEnum, AssetVisibility, type MetadataSearchDto, type SmartSearchDto } from '@immich/sdk'; + import { AssetTypeEnum, AssetVisibility, type MetadataSearchDto, type OcrSearchDto, type SmartSearchDto } from '@immich/sdk'; import { Button, HStack, Modal, ModalBody, ModalFooter } from '@immich/ui'; import { mdiTune } from '@mdi/js'; import { t } from 'svelte-i18n'; import { SvelteSet } from 'svelte/reactivity'; interface Props { - searchQuery: MetadataSearchDto | SmartSearchDto; - onClose: (search?: SmartSearchDto | MetadataSearchDto) => void; + searchQuery: MetadataSearchDto | SmartSearchDto | OcrSearchDto; + onClose: (search?: SmartSearchDto | MetadataSearchDto | OcrSearchDto) => void; } let { searchQuery, onClose }: Props = $props(); @@ -74,6 +75,7 @@ let filter: SearchFilter = $state({ query, + ocr: 'ocr' in searchQuery ? searchQuery.ocr : '', queryType: defaultQueryType(), personIds: new SvelteSet('personIds' in searchQuery ? searchQuery.personIds : []), tagIds: @@ -112,6 +114,7 @@ const resetForm = () => { filter = { query: '', + ocr: '', queryType: defaultQueryType(), // retain from localStorage or default personIds: new SvelteSet(), tagIds: new SvelteSet(), @@ -138,8 +141,9 @@ const query = filter.query || undefined; - let payload: SmartSearchDto | MetadataSearchDto = { + let payload: SmartSearchDto | MetadataSearchDto | OcrSearchDto = { query: filter.queryType === 'smart' ? query : undefined, + ocr: filter.queryType === 'ocr' ? query : undefined, originalFileName: filter.queryType === 'metadata' ? query : undefined, description: filter.queryType === 'description' ? query : undefined, country: filter.location.country, diff --git a/web/src/lib/stores/server-config.store.ts b/web/src/lib/stores/server-config.store.ts index ce2d8c2842..46a71ea19e 100644 --- a/web/src/lib/stores/server-config.store.ts +++ b/web/src/lib/stores/server-config.store.ts @@ -26,6 +26,7 @@ export const featureFlags = writable({ configFile: false, trash: true, email: false, + ocr: true, }); export type ServerConfig = ServerConfigDto & { loaded: boolean }; diff --git a/web/src/lib/utils.ts b/web/src/lib/utils.ts index 09205a2fc9..bf9e938497 100644 --- a/web/src/lib/utils.ts +++ b/web/src/lib/utils.ts @@ -161,6 +161,7 @@ export const getJobName = derived(t, ($t) => { [JobName.Library]: $t('external_libraries'), [JobName.Notifications]: $t('notifications'), [JobName.BackupDatabase]: $t('admin.backup_database'), + [JobName.Ocr]: $t('admin.machine_learning_ocr'), }; return names[jobName]; diff --git a/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte b/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte index 512d8c548a..6683f7a0f8 100644 --- a/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte +++ b/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte @@ -41,7 +41,9 @@ getPerson, getTagById, type MetadataSearchDto, + type OcrSearchDto, searchAssets, + searchOcr, searchSmart, type SmartSearchDto, } from '@immich/sdk'; @@ -68,7 +70,7 @@ const assetInteraction = new AssetInteraction(); - type SearchTerms = MetadataSearchDto & Pick; + type SearchTerms = MetadataSearchDto & Pick & Pick; let searchQuery = $derived(page.url.searchParams.get(QueryParameter.QUERY)); let smartSearchEnabled = $derived($featureFlags.loaded && $featureFlags.smartSearch); let terms = $derived(searchQuery ? JSON.parse(searchQuery) : {}); @@ -164,9 +166,11 @@ try { const { albums, assets } = - ('query' in searchDto || 'queryAssetId' in searchDto) && smartSearchEnabled - ? await searchSmart({ smartSearchDto: searchDto }) - : await searchAssets({ metadataSearchDto: searchDto }); + ('ocr' in searchDto + ? await searchOcr({ ocrSearchDto: searchDto }) + : 'query' in searchDto || 'queryAssetId' in searchDto) && smartSearchEnabled + ? await searchSmart({ smartSearchDto: searchDto }) + : await searchAssets({ metadataSearchDto: searchDto }); searchResultAlbums.push(...albums.items); searchResultAssets.push(...assets.items.map((asset) => toTimelineAsset(asset))); @@ -211,6 +215,7 @@ originalFileName: $t('file_name'), description: $t('description'), queryAssetId: $t('query_asset_id'), + ocr: $t('ocr'), }; return keyMap[key] || key; } From ee3e81c463c0c859688f299ee3822ba4608f17a3 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 20:34:54 +0800 Subject: [PATCH 02/44] chore: update labeler configuration for machine learning files --- .github/labeler.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/labeler.yml b/.github/labeler.yml index c0c52f1d7e..ac26e05b41 100644 --- a/.github/labeler.yml +++ b/.github/labeler.yml @@ -32,7 +32,7 @@ documentation: 🧠machine-learning: - changed-files: - any-glob-to-any-file: - - machine-learning/app/** + - machine-learning/** changelog:translation: - head-branch: ['^chore/translations$'] From 701950c8137dd88f57a328020e23638abe6f38f9 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 20:37:18 +0800 Subject: [PATCH 03/44] feat(i18n): enhance OCR model descriptions and add orientation classification and unwarping features --- i18n/en.json | 8 ++++++-- i18n/zh_SIMPLIFIED.json | 8 ++++++-- 2 files changed, 12 insertions(+), 4 deletions(-) diff --git a/i18n/en.json b/i18n/en.json index ec8d164d49..18517733a2 100644 --- a/i18n/en.json +++ b/i18n/en.json @@ -149,10 +149,14 @@ "machine_learning_ocr_description": "Use machine learning to recognize text in images", "machine_learning_ocr_enabled": "Enable OCR", "machine_learning_ocr_enabled_description": "If disabled, images will not be encoded for text recognition.", - "machine_learning_ocr_model": "OCR model", - "machine_learning_ocr_model_description": "Choose an OCR model.", "machine_learning_ocr_min_score": "Minimum recognition score", "machine_learning_ocr_min_score_description": "Minimum confidence score for text to be recognized from 0-1. Lower values will recognize more text but may result in false positives.", + "machine_learning_ocr_model": "OCR model", + "machine_learning_ocr_model_description": "Choose an OCR model. PP‑OCRv5_server is based on a deeper network architecture, resulting in a larger model size and higher accuracy. It is suitable for deployment on high-performance servers and can perform robust text recognition in complex images. In contrast, PP‑OCRv5_mobile employs pruning and lightweight design, with fewer parameters, faster loading, and more efficient computation, making it ideal for edge devices while still maintaining excellent OCR performance.", + "machine_learning_ocr_orientation_classify_enabled": "Enable orientation classify", + "machine_learning_ocr_orientation_classify_enabled_description": "The document image orientation classification module detects and corrects the orientation of scanned or photographed documents. If a capture device is rotated, the resulting image may be misaligned and unreadable by standard OCR. By classifying the correct text orientation and applying rotation correction, OCR accuracy is improved.", + "machine_learning_ocr_unwarping_enabled": "Enable unwarping", + "machine_learning_ocr_unwarping_enabled_description": "Text image correction uses geometric transformations to fix document distortions, skew, and perspective deformation, improving accuracy for subsequent text recognition.", "machine_learning_settings": "Machine Learning Settings", "machine_learning_settings_description": "Manage machine learning features and settings", "machine_learning_smart_search": "Smart Search", diff --git a/i18n/zh_SIMPLIFIED.json b/i18n/zh_SIMPLIFIED.json index 63d6d8d46f..0552e2a81d 100644 --- a/i18n/zh_SIMPLIFIED.json +++ b/i18n/zh_SIMPLIFIED.json @@ -149,10 +149,14 @@ "machine_learning_ocr_description": "使用机器学习识别图片中的文本", "machine_learning_ocr_enabled": "启用文本识别", "machine_learning_ocr_enabled_description": "如果禁用，则不会对图像编码以用于文本识别。", - "machine_learning_ocr_model": "文本识别模型", - "machine_learning_ocr_model_description": "选择一个文本识别模型。", "machine_learning_ocr_min_score": "最低识别分数", "machine_learning_ocr_min_score_description": "文本识别的最小置信度分数范围是0到1。较低的值将识别出更多的文本，但可能导致误报。", + "machine_learning_ocr_model": "文本识别模型", + "machine_learning_ocr_model_description": "选择一个文本识别模型。PP‑OCRv5_server 基于更深的网络结构，模型体积较大，准确率更高，适用于部署在高性能服务器上，可在复杂图像中进行稳健的文本识别；而 PP‑OCRv5_mobile 则通过剪枝与轻量化设计，参数量更少、加载更快、计算更高效，适合在边缘设备上运行，同时仍保持出色的 OCR 性能。", + "machine_learning_ocr_orientation_classify_enabled": "启用方向分类", + "machine_learning_ocr_orientation_classify_enabled_description": "文档图像方向分类模块可检测并纠正扫描或拍摄文档的朝向。如果拍摄设备旋转，生成的图像可能会错位，使标准 OCR 无法识别。通过分类确定正确的文字朝向并进行旋转校正，可提高 OCR 的识别准确性。", + "machine_learning_ocr_unwarping_enabled": "启用纠偏", + "machine_learning_ocr_unwarping_enabled_description": "文本图像矫正通过几何变换修正文档中的扭曲、倾斜与透视变形，以提高后续文本识别的准确性。", "machine_learning_settings": "机器学习设置", "machine_learning_settings_description": "管理机器学习功能和设置", "machine_learning_smart_search": "智能搜索", From 3949bf2cfa180951d3ab3bf6d25e88113c32d893 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 20:37:36 +0800 Subject: [PATCH 04/44] chore: update Dockerfile to include ccache for improved build performance --- machine-learning/Dockerfile | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/machine-learning/Dockerfile b/machine-learning/Dockerfile index 68fc3d302f..ddc62e722b 100644 --- a/machine-learning/Dockerfile +++ b/machine-learning/Dockerfile @@ -136,7 +136,7 @@ FROM prod-${DEVICE} AS prod ARG DEVICE RUN apt-get update && \ - apt-get install -y --no-install-recommends tini libgl1 libglib2.0-0 libgomp1 $(if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then echo "libmimalloc2.0"; fi) && \ + apt-get install -y --no-install-recommends tini ccache libgl1 libglib2.0-0 libgomp1 $(if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then echo "libmimalloc2.0"; fi) && \ apt-get autoremove -yqq && \ apt-get clean && \ rm -rf /var/lib/apt/lists/* From 0e7ad8b2baa0dc776a1f8fb7be8d9103ab79283f Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 20:40:32 +0800 Subject: [PATCH 05/44] feat(ocr): enhance OCR model configuration with orientation classification and unwarping options, update PaddleOCR integration, and improve response structure --- machine-learning/immich_ml/main.py | 5 +- machine-learning/immich_ml/models/cache.py | 8 ++- .../immich_ml/models/constants.py | 3 +- .../immich_ml/models/ocr/paddle.py | 41 ++++++------ machine-learning/immich_ml/schemas.py | 1 + open-api/immich-openapi-specs.json | 10 ++- server/src/config.ts | 6 +- server/src/dtos/model-config.dto.ts | 6 ++ .../src/repositories/asset-job.repository.ts | 6 +- .../machine-learning.repository.ts | 9 +-- server/src/repositories/ocr.repository.ts | 67 +++++-------------- server/src/repositories/search.repository.ts | 13 ++-- server/src/services/ocr.service.ts | 60 +++++++++-------- server/src/services/search.service.ts | 2 +- .../machine-learning-settings.svelte | 21 +++++- 15 files changed, 135 insertions(+), 123 deletions(-) diff --git a/machine-learning/immich_ml/main.py b/machine-learning/immich_ml/main.py index e884af0e69..62d8d1ec8e 100644 --- a/machine-learning/immich_ml/main.py +++ b/machine-learning/immich_ml/main.py @@ -183,7 +183,10 @@ async def run_inference(payload: Image | str, entries: InferenceEntries) -> Infe response: InferenceResponse = {} async def _run_inference(entry: InferenceEntry) -> None: - model = await model_cache.get(entry["name"], entry["type"], entry["task"], ttl=settings.model_ttl) + model = await model_cache.get( + entry["name"], entry["type"], entry["task"], + ttl=settings.model_ttl, **entry["options"] + ) inputs = [payload] for dep in model.depends: try: diff --git a/machine-learning/immich_ml/models/cache.py b/machine-learning/immich_ml/models/cache.py index d8f9ca81bd..cd4e3e59b6 100644 --- a/machine-learning/immich_ml/models/cache.py +++ b/machine-learning/immich_ml/models/cache.py @@ -38,7 +38,13 @@ class ModelCache: async def get( self, model_name: str, model_type: ModelType, model_task: ModelTask, **model_kwargs: Any ) -> InferenceModel: - key = f"{model_name}{model_type}{model_task}" + config_key = "" + if model_type == ModelType.OCR and model_task == ModelTask.OCR: + orientation = model_kwargs.get("orientationClassifyEnabled", True) + unwarping = model_kwargs.get("unwarpingEnabled", True) + config_key = f"_o{orientation}_u{unwarping}" + + key = f"{model_name}{model_type}{model_task}{config_key}" async with OptimisticLock(self.cache, key) as lock: model: InferenceModel | None = await self.cache.get(key) diff --git a/machine-learning/immich_ml/models/constants.py b/machine-learning/immich_ml/models/constants.py index 604b9a304f..4879532a03 100644 --- a/machine-learning/immich_ml/models/constants.py +++ b/machine-learning/immich_ml/models/constants.py @@ -76,7 +76,8 @@ _INSIGHTFACE_MODELS = { _PADDLE_MODELS = { - "paddle", + "PP-OCRv5_server", + "PP-OCRv5_mobile", } SUPPORTED_PROVIDERS = [ diff --git a/machine-learning/immich_ml/models/ocr/paddle.py b/machine-learning/immich_ml/models/ocr/paddle.py index 1cc82761c9..950a9af78e 100644 --- a/machine-learning/immich_ml/models/ocr/paddle.py +++ b/machine-learning/immich_ml/models/ocr/paddle.py @@ -1,4 +1,4 @@ -from typing import Any +from typing import Any, List import numpy as np from numpy.typing import NDArray @@ -14,34 +14,33 @@ class PaddleOCRecognizer(InferenceModel): def __init__(self, model_name: str, min_score: float = 0.9, **model_kwargs: Any) -> None: self.min_score = model_kwargs.pop("minScore", min_score) + self.orientation_classify_enabled = model_kwargs.pop("orientationClassifyEnabled", True) + self.unwarping_enabled = model_kwargs.pop("unwarpingEnabled", True) super().__init__(model_name, **model_kwargs) self._load() self.loaded = True - def _load(self) -> None: - try: - self.model = PaddleOCR( - use_doc_orientation_classify=False, - use_doc_unwarping=False, - use_textline_orientation=False - ) - except Exception as e: - print(f"Error loading PaddleOCR model: {e}") - raise e + def _load(self) -> PaddleOCR: + self.model = PaddleOCR( + text_detection_model_name=f"{self.model_name}_det", + text_recognition_model_name=f"{self.model_name}_rec", + use_doc_orientation_classify=self.orientation_classify_enabled, + use_doc_unwarping=self.unwarping_enabled, + ) - def _predict(self, inputs: NDArray[np.uint8] | bytes | Image.Image, **kwargs: Any) -> OCROutput: + def _predict(self, inputs: NDArray[np.uint8] | bytes | Image.Image, **kwargs: Any) -> List[OCROutput]: inputs = decode_cv2(inputs) results = self.model.predict(inputs) valid_texts_and_scores = [ - (text, score) + (text, score, box) for result in results - for text, score in zip(result['rec_texts'], result['rec_scores']) - if score > self.min_score + for text, score, box in zip(result['rec_texts'], result['rec_scores'], result['rec_boxes'].tolist()) + if score >= self.min_score ] if not valid_texts_and_scores: - return OCROutput(text="", confidence=0.0) - texts, scores = zip(*valid_texts_and_scores) - return OCROutput( - text="".join(texts), - confidence=sum(scores) / len(scores) - ) + return [] + + return [ + OCROutput(text=text, confidence=score, boundingBox={"x1": box[0], "y1": box[1], "x2": box[2], "y2": box[3]}) + for text, score, box in valid_texts_and_scores + ] diff --git a/machine-learning/immich_ml/schemas.py b/machine-learning/immich_ml/schemas.py index ee2f21fa80..d6622cb5f8 100644 --- a/machine-learning/immich_ml/schemas.py +++ b/machine-learning/immich_ml/schemas.py @@ -90,6 +90,7 @@ FacialRecognitionOutput = list[DetectedFace] class OCROutput(TypedDict): text: str confidence: float + boundingBox: BoundingBox class PipelineEntry(TypedDict): diff --git a/open-api/immich-openapi-specs.json b/open-api/immich-openapi-specs.json index a02427c563..97a7af6715 100644 --- a/open-api/immich-openapi-specs.json +++ b/open-api/immich-openapi-specs.json @@ -12926,12 +12926,20 @@ }, "modelName": { "type": "string" + }, + "orientationClassifyEnabled": { + "type": "boolean" + }, + "unwarpingEnabled": { + "type": "boolean" } }, "required": [ "enabled", "minScore", - "modelName" + "modelName", + "orientationClassifyEnabled", + "unwarpingEnabled" ], "type": "object" }, diff --git a/server/src/config.ts b/server/src/config.ts index b26735e09e..ce6eceb6fe 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -73,6 +73,8 @@ export interface SystemConfig { enabled: boolean; modelName: string; minScore: number; + unwarpingEnabled: boolean; + orientationClassifyEnabled: boolean; }; }; map: { @@ -250,8 +252,10 @@ export const defaults = Object.freeze({ }, ocr: { enabled: true, - modelName: 'paddle', + modelName: 'PP-OCRv5_server', minScore: 0.9, + unwarpingEnabled: false, + orientationClassifyEnabled: false, }, }, map: { diff --git a/server/src/dtos/model-config.dto.ts b/server/src/dtos/model-config.dto.ts index 3545699252..8f63ed8a54 100644 --- a/server/src/dtos/model-config.dto.ts +++ b/server/src/dtos/model-config.dto.ts @@ -54,4 +54,10 @@ export class OcrConfig extends ModelConfig { @Type(() => Number) @ApiProperty({ type: 'number', format: 'double' }) minScore!: number; + + @ValidateBoolean() + unwarpingEnabled!: boolean; + + @ValidateBoolean() + orientationClassifyEnabled!: boolean; } diff --git a/server/src/repositories/asset-job.repository.ts b/server/src/repositories/asset-job.repository.ts index 00a11b0529..d78ffb37bc 100644 --- a/server/src/repositories/asset-job.repository.ts +++ b/server/src/repositories/asset-job.repository.ts @@ -355,10 +355,8 @@ export class AssetJobRepository { .select(['assets.id']) .$if(!force, (qb) => qb - .leftJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') - .where((eb) => - eb.or([eb('asset_job_status.ocrAt', 'is', null), eb('asset_job_status.assetId', 'is', null)]), - ) + .innerJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') + .where('asset_job_status.ocrAt', 'is', null) .where('assets.visibility', '!=', AssetVisibility.HIDDEN), ) .where('assets.deletedAt', 'is', null) diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index 2ad32a3e1d..b5d77a3d9e 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -31,7 +31,7 @@ export type ModelPayload = { imagePath: string } | { text: string }; type ModelOptions = { modelName: string }; export type FaceDetectionOptions = ModelOptions & { minScore: number }; -export type OcrOptions = ModelOptions & { minScore: number }; +export type OcrOptions = ModelOptions & { minScore: number, unwarpingEnabled: boolean, orientationClassifyEnabled: boolean }; type VisualResponse = { imageHeight: number; imageWidth: number }; export type ClipVisualRequest = { [ModelTask.SEARCH]: { [ModelType.VISUAL]: ModelOptions } }; export type ClipVisualResponse = { [ModelTask.SEARCH]: string } & VisualResponse; @@ -40,12 +40,13 @@ export type ClipTextualRequest = { [ModelTask.SEARCH]: { [ModelType.TEXTUAL]: Mo export type ClipTextualResponse = { [ModelTask.SEARCH]: string }; export type OCR = { + boundingBox: BoundingBox; text: string; confidence: number; }; export type OcrRequest = { [ModelTask.OCR]: { [ModelType.OCR]: ModelOptions & { options: { minScore: number } } } }; -export type OcrResponse = { [ModelTask.OCR]: OCR } & VisualResponse; +export type OcrResponse = { [ModelTask.OCR]: OCR | OCR[] } & VisualResponse; export type FacialRecognitionRequest = { [ModelTask.FACIAL_RECOGNITION]: { @@ -203,8 +204,8 @@ export class MachineLearningRepository { return formData; } - async ocr(urls: string[], imagePath: string, { modelName, minScore }: OcrOptions) { - const request = { [ModelTask.OCR]: { [ModelType.OCR]: { modelName, options: { minScore } } } }; + async ocr(urls: string[], imagePath: string, { modelName, minScore, unwarpingEnabled, orientationClassifyEnabled }: OcrOptions) { + const request = { [ModelTask.OCR]: { [ModelType.OCR]: { modelName, options: { minScore, unwarpingEnabled, orientationClassifyEnabled } } } }; const response = await this.predict(urls, { imagePath }, request); return response[ModelTask.OCR]; } diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index 182a592e06..f21208c6d6 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -3,72 +3,41 @@ import { Kysely, sql } from 'kysely'; import { InjectKysely } from 'nestjs-kysely'; import { DB } from 'src/db'; import { DummyValue, GenerateSql } from 'src/decorators'; -import { OcrEntity } from 'src/entities/ocr.entity'; +export interface OcrInsertData { + assetId: string; + boundingBoxX1: number; + boundingBoxY1: number; + boundingBoxX2: number; + boundingBoxY2: number; + text: string; +} @Injectable() export class OcrRepository { constructor(@InjectKysely() private db: Kysely) {} @GenerateSql({ params: [DummyValue.UUID] }) - getOcrById(id: string): Promise { + async getById(id: string) { return this.db .selectFrom('asset_ocr') .selectAll('asset_ocr') .where('asset_ocr.assetId', '=', id) - .executeTakeFirst() as Promise; + .executeTakeFirst(); } - async insertOcrData(assetId: string, text: string): Promise { - await this.db - .insertInto('asset_ocr') - .values({ assetId, text }) - .execute(); - } - - async deleteAllOcr(): Promise { + async deleteAll(): Promise { await sql`truncate ${sql.table('asset_ocr')}`.execute(this.db); } - getAllOcr(options: Partial = {}): AsyncIterableIterator { - return this.db - .selectFrom('asset_ocr') - .selectAll('asset_ocr') - .$if(!!options.assetId, (qb) => qb.where('asset_ocr.assetId', '=', options.assetId!)) - .stream() as AsyncIterableIterator; - } - - - @GenerateSql() - async getLatestOcrDate(): Promise { - const result = (await this.db - .selectFrom('asset_job_status') - .select((eb) => sql`${eb.fn.max('asset_job_status.ocrAt')}::text`.as('latestDate')) - .executeTakeFirst()) as { latestDate: string } | undefined; - - return result?.latestDate; - } - - async updateOcrData(id: string, ocrData: string): Promise { + async insertMany(ocrDataList: OcrInsertData[]): Promise { + if (ocrDataList.length === 0) { + return; + } + await this.db - .updateTable('asset_ocr') - .set({ text: ocrData }) - .where('id', '=', id) - .execute(); - } - - getOcrWithoutText(): Promise { - return this.db - .selectFrom('asset_ocr') - .selectAll('asset_ocr') - .where('text', 'is', null) - .execute() as Promise; - } - - async delete(ocr: OcrEntity[]): Promise { - await this.db - .deleteFrom('asset_ocr') - .where('id', 'in', ocr.map((o) => o.id)) + .insertInto('asset_ocr') + .values(ocrDataList) .execute(); } } diff --git a/server/src/repositories/search.repository.ts b/server/src/repositories/search.repository.ts index aef9712a70..bacd953c92 100644 --- a/server/src/repositories/search.repository.ts +++ b/server/src/repositories/search.repository.ts @@ -321,19 +321,14 @@ export class SearchRepository { throw new Error(`Invalid value for 'size': ${pagination.size}`); } - const items = await this.db - .selectFrom('asset_ocr') - .selectAll() - .innerJoin('assets', 'assets.id', 'asset_ocr.assetId') - .where('assets.ownerId', '=', anyUuid(options.userIds)) + const items = await searchAssetBuilder(this.db, options) + .innerJoin('asset_ocr', 'assets.id', 'asset_ocr.assetId') .where('asset_ocr.text', 'ilike', `%${options.ocr}%`) .limit(pagination.size + 1) .offset((pagination.page - 1) * pagination.size) - .execute() as any; + .execute(); - const hasNextPage = items.length > pagination.size; - items.splice(pagination.size); - return { items, hasNextPage }; + return paginationHelper(items, pagination.size); } @GenerateSql({ diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index cba16bf942..e59b032288 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -13,12 +13,6 @@ import { isOcrEnabled } from 'src/utils/misc'; @Injectable() export class OcrService extends BaseService { - @OnJob({ name: JobName.OCR_CLEANUP, queue: QueueName.BACKGROUND_TASK }) - async handleOcrCleanup(): Promise { - const ocr = await this.ocrRepository.getOcrWithoutText(); - await this.ocrRepository.delete(ocr); - return JobStatus.SUCCESS; - } @OnJob({ name: JobName.QUEUE_OCR, queue: QueueName.OCR }) async handleQueueOcr({ force, nightly }: JobOf): Promise { @@ -28,7 +22,7 @@ export class OcrService extends BaseService { } if (force) { - await this.ocrRepository.deleteAllOcr(); + await this.ocrRepository.deleteAll(); } let jobs: JobItem[] = []; @@ -44,11 +38,6 @@ export class OcrService extends BaseService { } await this.jobRepository.queueAll(jobs); - - if (force === undefined) { - await this.jobRepository.queue({ name: JobName.OCR_CLEANUP }); - } - return JobStatus.SUCCESS; } @@ -77,8 +66,15 @@ export class OcrService extends BaseService { machineLearning.ocr ); - if (!ocrResults || ocrResults.text.length === 0) { - this.logger.warn(`No OCR results for document ${id}`); + const resultsArray = Array.isArray(ocrResults) ? ocrResults : [ocrResults]; + const validResults = resultsArray.filter(result => + result && + result.text && + result.text.trim().length > 0 + ); + + if (validResults.length === 0) { + this.logger.warn(`No valid OCR results for document ${id}`); await this.assetRepository.upsertJobStatus({ assetId: asset.id, ocrAt: new Date(), @@ -86,23 +82,29 @@ export class OcrService extends BaseService { return JobStatus.SUCCESS; } - this.logger.debug(`OCR ${id} has OCR results`); + try { + const ocrDataList = validResults.map(result => ({ + assetId: id, + boundingBoxX1: result.boundingBox.x1, + boundingBoxY1: result.boundingBox.y1, + boundingBoxX2: result.boundingBox.x2, + boundingBoxY2: result.boundingBox.y2, + text: result.text.trim(), + })); - const ocr = await this.ocrRepository.getOcrById(id); - if (ocr) { - this.logger.debug(`Updating OCR for ${id}`); - await this.ocrRepository.updateOcrData(id, ocrResults.text); - } else { - this.logger.debug(`Inserting OCR for ${id}`); - await this.ocrRepository.insertOcrData(id, ocrResults.text); + await this.ocrRepository.insertMany(ocrDataList); + + await this.assetRepository.upsertJobStatus({ + assetId: asset.id, + ocrAt: new Date(), + }); + + this.logger.debug(`Processed ${validResults.length} OCR result(s) for ${id}`); + return JobStatus.SUCCESS; + } catch (error) { + this.logger.error(`Failed to insert OCR results for ${id}:`, error); + return JobStatus.FAILED; } - - await this.assetRepository.upsertJobStatus({ - assetId: asset.id, - ocrAt: new Date(), - }); - this.logger.debug(`Processed OCR for ${id}`); - return JobStatus.SUCCESS; } } \ No newline at end of file diff --git a/server/src/services/search.service.ts b/server/src/services/search.service.ts index e9ba4bcb46..5dd8c3eb60 100644 --- a/server/src/services/search.service.ts +++ b/server/src/services/search.service.ts @@ -23,7 +23,7 @@ import { AssetOrder, AssetVisibility, Permission } from 'src/enum'; import { BaseService } from 'src/services/base.service'; import { requireElevatedPermission } from 'src/utils/access'; import { getMyPartnerIds } from 'src/utils/asset.util'; -import { isSmartSearchEnabled, isOcrEnabled } from 'src/utils/misc'; +import { isOcrEnabled, isSmartSearchEnabled } from 'src/utils/misc'; @Injectable() export class SearchService extends BaseService { diff --git a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte index 6265249f16..9ab8e88eb7 100644 --- a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte +++ b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte @@ -231,13 +231,30 @@ disabled={disabled || !config.machineLearning.enabled} /> + + + + +
+ From 3183a1ce05e8f424fa92c9def387c50f6526151a Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 20:40:51 +0800 Subject: [PATCH 06/44] refactor(ocr): remove OCR_CLEANUP job from enum and type definitions --- server/src/enum.ts | 1 - server/src/types.ts | 3 +-- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/server/src/enum.ts b/server/src/enum.ts index 7143e1ca13..cac69eecf0 100644 --- a/server/src/enum.ts +++ b/server/src/enum.ts @@ -588,7 +588,6 @@ export enum JobName { // OCR QUEUE_OCR = 'queue-ocr', OCR = 'ocr', - OCR_CLEANUP = 'ocr-cleanup', } export enum JobCommand { diff --git a/server/src/types.ts b/server/src/types.ts index 9ad8f2e503..18dec00328 100644 --- a/server/src/types.ts +++ b/server/src/types.ts @@ -371,8 +371,7 @@ export type JobItem = // OCR | { name: JobName.QUEUE_OCR; data: INightlyJob } - | { name: JobName.OCR; data: IEntityJob } - | { name: JobName.OCR_CLEANUP; data?: IBaseJob }; + | { name: JobName.OCR; data: IEntityJob }; export type VectorExtension = (typeof VECTOR_EXTENSIONS)[number]; From 46ef02342d94de14cc274217f81be886945ce133 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 20:41:18 +0800 Subject: [PATCH 07/44] refactor(ocr): remove obsolete OCR entity and migration files, and update asset job status and schema to accommodate new OCR table structure --- server/src/entities/ocr.entity.ts | 5 ---- .../1743429240851-UpsertOcrAssetJobStatus.ts | 19 ------------ .../migrations/1743429592349-AddOcrTable.ts | 22 -------------- server/src/schema/index.ts | 2 ++ .../1748858302889-UpsertOcrAssetJobStatus.ts | 9 ++++++ .../1748864166925-CreateOCRTable.ts | 13 ++++++++ .../schema/tables/asset-job-status.table.ts | 3 ++ server/src/schema/tables/asset-ocr.table.ts | 30 +++++++++++++++++++ server/src/schema/tables/asset_ocr.table.ts | 13 -------- 9 files changed, 57 insertions(+), 59 deletions(-) delete mode 100644 server/src/entities/ocr.entity.ts delete mode 100644 server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts delete mode 100644 server/src/migrations/1743429592349-AddOcrTable.ts create mode 100644 server/src/schema/migrations/1748858302889-UpsertOcrAssetJobStatus.ts create mode 100644 server/src/schema/migrations/1748864166925-CreateOCRTable.ts create mode 100644 server/src/schema/tables/asset-ocr.table.ts delete mode 100644 server/src/schema/tables/asset_ocr.table.ts diff --git a/server/src/entities/ocr.entity.ts b/server/src/entities/ocr.entity.ts deleted file mode 100644 index b617de4e02..0000000000 --- a/server/src/entities/ocr.entity.ts +++ /dev/null @@ -1,5 +0,0 @@ -export class OcrEntity { - id!: string; - assetId!: string; - text!: string; -} diff --git a/server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts b/server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts deleted file mode 100644 index 1ede7e3bb4..0000000000 --- a/server/src/migrations/1743429240851-UpsertOcrAssetJobStatus.ts +++ /dev/null @@ -1,19 +0,0 @@ -import { MigrationInterface, QueryRunner } from 'typeorm'; - -export class UpsertOcrAssetJobStatus1743429240851 implements MigrationInterface { - name = 'UpsertOcrAssetJobStatus1743429240851'; - - public async up(queryRunner: QueryRunner): Promise { - await queryRunner.query(` - ALTER TABLE asset_job_status - ADD COLUMN IF NOT EXISTS "ocrAt" TIMESTAMP WITH TIME ZONE; - `); - } - - public async down(queryRunner: QueryRunner): Promise { - await queryRunner.query(` - ALTER TABLE asset_job_status - DROP COLUMN IF EXISTS "ocrAt"; - `); - } -} diff --git a/server/src/migrations/1743429592349-AddOcrTable.ts b/server/src/migrations/1743429592349-AddOcrTable.ts deleted file mode 100644 index 4c1a85179e..0000000000 --- a/server/src/migrations/1743429592349-AddOcrTable.ts +++ /dev/null @@ -1,22 +0,0 @@ -import { MigrationInterface, QueryRunner } from 'typeorm'; - -export class AddOcrTable1743429592349 implements MigrationInterface { - name = 'AddOcrTable1743429592349'; - - public async up(queryRunner: QueryRunner): Promise { - await queryRunner.query(` - CREATE TABLE IF NOT EXISTS "asset_ocr" - ( - "id" uuid NOT NULL DEFAULT uuid_generate_v4(), - "assetId" uuid NOT NULL, - "text" text, - CONSTRAINT "PK_asset_ocr_id" PRIMARY KEY ("id") - ); - `); - } - - public async down(queryRunner: QueryRunner): Promise { - await queryRunner.query(`ALTER TABLE "asset_ocr" DROP CONSTRAINT "FK_asset_ocr_assetId"`); - await queryRunner.query(`DROP TABLE "asset_ocr"`); - } -} diff --git a/server/src/schema/index.ts b/server/src/schema/index.ts index c8474cda03..a57bdef1b9 100644 --- a/server/src/schema/index.ts +++ b/server/src/schema/index.ts @@ -35,6 +35,7 @@ import { AssetFileTable } from 'src/schema/tables/asset-file.table'; import { AssetJobStatusTable } from 'src/schema/tables/asset-job-status.table'; import { AssetMetadataAuditTable } from 'src/schema/tables/asset-metadata-audit.table'; import { AssetMetadataTable } from 'src/schema/tables/asset-metadata.table'; +import { AssetOcrTable } from 'src/schema/tables/asset-ocr.table'; import { AssetTable } from 'src/schema/tables/asset.table'; import { AuditTable } from 'src/schema/tables/audit.table'; import { FaceSearchTable } from 'src/schema/tables/face-search.table'; @@ -87,6 +88,7 @@ export class ImmichDatabase { AssetMetadataTable, AssetMetadataAuditTable, AssetJobStatusTable, + AssetOcrTable, AssetTable, AssetFileTable, AuditTable, diff --git a/server/src/schema/migrations/1748858302889-UpsertOcrAssetJobStatus.ts b/server/src/schema/migrations/1748858302889-UpsertOcrAssetJobStatus.ts new file mode 100644 index 0000000000..c7c3ba4449 --- /dev/null +++ b/server/src/schema/migrations/1748858302889-UpsertOcrAssetJobStatus.ts @@ -0,0 +1,9 @@ +import { Kysely, sql } from 'kysely'; + +export async function up(db: Kysely): Promise { + await sql`ALTER TABLE "asset_job_status" ADD "ocrAt" timestamp with time zone;`.execute(db); +} + +export async function down(db: Kysely): Promise { + await sql`ALTER TABLE "asset_job_status" DROP COLUMN "ocrAt";`.execute(db); +} diff --git a/server/src/schema/migrations/1748864166925-CreateOCRTable.ts b/server/src/schema/migrations/1748864166925-CreateOCRTable.ts new file mode 100644 index 0000000000..d3634d0516 --- /dev/null +++ b/server/src/schema/migrations/1748864166925-CreateOCRTable.ts @@ -0,0 +1,13 @@ +import { Kysely, sql } from 'kysely'; + +export async function up(db: Kysely): Promise { + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "boundingBoxX1" integer NOT NULL DEFAULT 0, "boundingBoxY1" integer NOT NULL DEFAULT 0, "boundingBoxX2" integer NOT NULL DEFAULT 0, "boundingBoxY2" integer NOT NULL DEFAULT 0, "text" text NOT NULL);`.execute(db); + await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); + await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); +} + +export async function down(db: Kysely): Promise { + await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22";`.execute(db); + await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "FK_dc592ec504976f5636e28bb84c6";`.execute(db); + await sql`DROP TABLE "asset_ocr";`.execute(db); +} diff --git a/server/src/schema/tables/asset-job-status.table.ts b/server/src/schema/tables/asset-job-status.table.ts index 5ae10edbfa..d68dbcb761 100644 --- a/server/src/schema/tables/asset-job-status.table.ts +++ b/server/src/schema/tables/asset-job-status.table.ts @@ -20,4 +20,7 @@ export class AssetJobStatusTable { @Column({ type: 'timestamp with time zone', nullable: true }) thumbnailAt!: Timestamp | null; + + @Column({ type: 'timestamp with time zone', nullable: true }) + ocrAt!: Timestamp | null; } diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts new file mode 100644 index 0000000000..8d50cc4157 --- /dev/null +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -0,0 +1,30 @@ +import { AssetTable } from 'src/schema/tables/asset.table'; +import { Column, ForeignKeyColumn, PrimaryGeneratedColumn, Table } from 'src/sql-tools'; + +@Table('asset_ocr') +export class AssetOcrTable { + @PrimaryGeneratedColumn() + id!: string; + + @ForeignKeyColumn(() => AssetTable, { + onDelete: 'CASCADE', + onUpdate: 'CASCADE', + index: false, + }) + assetId!: string; + + @Column({ default: 0, type: 'integer' }) + boundingBoxX1!: number; + + @Column({ default: 0, type: 'integer' }) + boundingBoxY1!: number; + + @Column({ default: 0, type: 'integer' }) + boundingBoxX2!: number; + + @Column({ default: 0, type: 'integer' }) + boundingBoxY2!: number; + + @Column({ type: 'text' }) + text!: string; +} diff --git a/server/src/schema/tables/asset_ocr.table.ts b/server/src/schema/tables/asset_ocr.table.ts deleted file mode 100644 index 700d2c2b42..0000000000 --- a/server/src/schema/tables/asset_ocr.table.ts +++ /dev/null @@ -1,13 +0,0 @@ -import { Column, CreateDateColumn, PrimaryGeneratedColumn, Table } from 'src/sql-tools'; - -@Table('asset_ocr') -export class AssetOcrTable { - @PrimaryGeneratedColumn() - id!: string; - - @Column({ type: 'uuid' }) - assetId!: string; - - @CreateDateColumn() - text!: string; -} From df36a09cd3fabaaba4d7e4dbbb1f85b8881c816d Mon Sep 17 00:00:00 2001 From: CoderKang Date: Mon, 2 Jun 2025 22:26:49 +0800 Subject: [PATCH 08/44] refactor(ocr): update OCR schema and response structure to use individual coordinates instead of bounding box, and adjust related service and repository files --- .../immich_ml/models/ocr/paddle.py | 8 +++-- machine-learning/immich_ml/schemas.py | 9 +++++- .../machine-learning.repository.ts | 12 ++++++-- server/src/repositories/ocr.repository.ts | 12 +++++--- ...ble.ts => 1748871815291-CreateOCRTable.ts} | 4 ++- server/src/schema/tables/asset-ocr.table.ts | 30 +++++++++++++------ server/src/services/ocr.service.ts | 25 +++++++--------- 7 files changed, 66 insertions(+), 34 deletions(-) rename server/src/schema/migrations/{1748864166925-CreateOCRTable.ts => 1748871815291-CreateOCRTable.ts} (64%) diff --git a/machine-learning/immich_ml/models/ocr/paddle.py b/machine-learning/immich_ml/models/ocr/paddle.py index 950a9af78e..880a38179f 100644 --- a/machine-learning/immich_ml/models/ocr/paddle.py +++ b/machine-learning/immich_ml/models/ocr/paddle.py @@ -34,13 +34,17 @@ class PaddleOCRecognizer(InferenceModel): valid_texts_and_scores = [ (text, score, box) for result in results - for text, score, box in zip(result['rec_texts'], result['rec_scores'], result['rec_boxes'].tolist()) + for text, score, box in zip(result['rec_texts'], result['rec_scores'], result['rec_polys']) if score >= self.min_score ] if not valid_texts_and_scores: return [] return [ - OCROutput(text=text, confidence=score, boundingBox={"x1": box[0], "y1": box[1], "x2": box[2], "y2": box[3]}) + OCROutput( + text=text, confidence=score, + x1=box[0][0], y1=box[0][1], x2=box[1][0], y2=box[1][1], + x3=box[2][0], y3=box[2][1], x4=box[3][0], y4=box[3][1] + ) for text, score, box in valid_texts_and_scores ] diff --git a/machine-learning/immich_ml/schemas.py b/machine-learning/immich_ml/schemas.py index d6622cb5f8..e95b51b11d 100644 --- a/machine-learning/immich_ml/schemas.py +++ b/machine-learning/immich_ml/schemas.py @@ -90,7 +90,14 @@ FacialRecognitionOutput = list[DetectedFace] class OCROutput(TypedDict): text: str confidence: float - boundingBox: BoundingBox + x1: int + y1: int + x2: int + y2: int + x3: int + y3: int + x4: int + y4: int class PipelineEntry(TypedDict): diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index b5d77a3d9e..6bae7eeaaf 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -40,13 +40,19 @@ export type ClipTextualRequest = { [ModelTask.SEARCH]: { [ModelType.TEXTUAL]: Mo export type ClipTextualResponse = { [ModelTask.SEARCH]: string }; export type OCR = { - boundingBox: BoundingBox; + x1: number; + y1: number; + x2: number; + y2: number; + x3: number; + y3: number; + x4: number; + y4: number; text: string; - confidence: number; }; export type OcrRequest = { [ModelTask.OCR]: { [ModelType.OCR]: ModelOptions & { options: { minScore: number } } } }; -export type OcrResponse = { [ModelTask.OCR]: OCR | OCR[] } & VisualResponse; +export type OcrResponse = { [ModelTask.OCR]: OCR[] } & VisualResponse; export type FacialRecognitionRequest = { [ModelTask.FACIAL_RECOGNITION]: { diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index f21208c6d6..38c1d3e52f 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -6,10 +6,14 @@ import { DummyValue, GenerateSql } from 'src/decorators'; export interface OcrInsertData { assetId: string; - boundingBoxX1: number; - boundingBoxY1: number; - boundingBoxX2: number; - boundingBoxY2: number; + x1: number; + y1: number; + x2: number; + y2: number; + x3: number; + y3: number; + x4: number; + y4: number; text: string; } diff --git a/server/src/schema/migrations/1748864166925-CreateOCRTable.ts b/server/src/schema/migrations/1748871815291-CreateOCRTable.ts similarity index 64% rename from server/src/schema/migrations/1748864166925-CreateOCRTable.ts rename to server/src/schema/migrations/1748871815291-CreateOCRTable.ts index d3634d0516..2c1b210424 100644 --- a/server/src/schema/migrations/1748864166925-CreateOCRTable.ts +++ b/server/src/schema/migrations/1748871815291-CreateOCRTable.ts @@ -1,12 +1,14 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "boundingBoxX1" integer NOT NULL DEFAULT 0, "boundingBoxY1" integer NOT NULL DEFAULT 0, "boundingBoxX2" integer NOT NULL DEFAULT 0, "boundingBoxY2" integer NOT NULL DEFAULT 0, "text" text NOT NULL);`.execute(db); + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "text" text NOT NULL);`.execute(db); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); + await sql`CREATE INDEX "IDX_dc592ec504976f5636e28bb84c" ON "asset_ocr" ("assetId")`.execute(db); } export async function down(db: Kysely): Promise { + await sql`DROP INDEX "IDX_dc592ec504976f5636e28bb84c";`.execute(db); await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22";`.execute(db); await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "FK_dc592ec504976f5636e28bb84c6";`.execute(db); await sql`DROP TABLE "asset_ocr";`.execute(db); diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index 8d50cc4157..90c2b23913 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -9,21 +9,33 @@ export class AssetOcrTable { @ForeignKeyColumn(() => AssetTable, { onDelete: 'CASCADE', onUpdate: 'CASCADE', - index: false, + index: true, }) assetId!: string; - @Column({ default: 0, type: 'integer' }) - boundingBoxX1!: number; + @Column({ type: 'integer' }) + x1!: number; - @Column({ default: 0, type: 'integer' }) - boundingBoxY1!: number; + @Column({ type: 'integer' }) + y1!: number; - @Column({ default: 0, type: 'integer' }) - boundingBoxX2!: number; + @Column({ type: 'integer' }) + x2!: number; - @Column({ default: 0, type: 'integer' }) - boundingBoxY2!: number; + @Column({ type: 'integer' }) + y2!: number; + + @Column({ type: 'integer' }) + x3!: number; + + @Column({ type: 'integer' }) + y3!: number; + + @Column({ type: 'integer' }) + x4!: number; + + @Column({ type: 'integer' }) + y4!: number; @Column({ type: 'text' }) text!: string; diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index e59b032288..15ef589524 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -66,14 +66,7 @@ export class OcrService extends BaseService { machineLearning.ocr ); - const resultsArray = Array.isArray(ocrResults) ? ocrResults : [ocrResults]; - const validResults = resultsArray.filter(result => - result && - result.text && - result.text.trim().length > 0 - ); - - if (validResults.length === 0) { + if (ocrResults.length === 0) { this.logger.warn(`No valid OCR results for document ${id}`); await this.assetRepository.upsertJobStatus({ assetId: asset.id, @@ -83,12 +76,16 @@ export class OcrService extends BaseService { } try { - const ocrDataList = validResults.map(result => ({ + const ocrDataList = ocrResults.map(result => ({ assetId: id, - boundingBoxX1: result.boundingBox.x1, - boundingBoxY1: result.boundingBox.y1, - boundingBoxX2: result.boundingBox.x2, - boundingBoxY2: result.boundingBox.y2, + x1: result.x1, + y1: result.y1, + x2: result.x2, + y2: result.y2, + x3: result.x3, + y3: result.y3, + x4: result.x4, + y4: result.y4, text: result.text.trim(), })); @@ -99,7 +96,7 @@ export class OcrService extends BaseService { ocrAt: new Date(), }); - this.logger.debug(`Processed ${validResults.length} OCR result(s) for ${id}`); + this.logger.debug(`Processed ${ocrResults.length} OCR result(s) for ${id}`); return JobStatus.SUCCESS; } catch (error) { this.logger.error(`Failed to insert OCR results for ${id}:`, error); From 4d8e51ede6cb3eee0789830b5d9bf42a14a5f591 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Tue, 3 Jun 2025 16:19:50 +0800 Subject: [PATCH 09/44] feat: enhance OCR configuration and functionality - Updated OCR settings to include minimum detection box score, minimum detection score, and minimum recognition score. - Refactored PaddleOCRecognizer to utilize new scoring parameters. - Introduced new database tables for asset OCR data and search functionality. - Modified related services and repositories to support the new OCR features. - Updated translations for improved clarity in settings UI. --- i18n/en.json | 8 +++- i18n/zh_SIMPLIFIED.json | 8 +++- .../immich_ml/models/ocr/paddle.py | 31 ++++++------ open-api/immich-openapi-specs.json | 20 ++++++-- server/src/config.ts | 8 +++- server/src/dtos/model-config.dto.ts | 18 ++++++- .../src/repositories/asset-job.repository.ts | 4 +- .../machine-learning.repository.ts | 9 ++-- server/src/repositories/ocr.repository.ts | 47 +++++++++++++++---- server/src/repositories/search.repository.ts | 4 +- server/src/schema/index.ts | 2 + ...s => 1748926208942-CreateAssetOCRTable.ts} | 2 +- .../1748929348618-CreateOCRSearchTable.ts | 13 +++++ server/src/schema/tables/asset-ocr.table.ts | 3 ++ server/src/schema/tables/ocr-search.table.ts | 15 ++++++ server/src/services/ocr.service.ts | 5 +- .../machine-learning-settings.svelte | 34 ++++++++++++-- 17 files changed, 180 insertions(+), 51 deletions(-) rename server/src/schema/migrations/{1748871815291-CreateOCRTable.ts => 1748926208942-CreateAssetOCRTable.ts} (90%) create mode 100644 server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts create mode 100644 server/src/schema/tables/ocr-search.table.ts diff --git a/i18n/en.json b/i18n/en.json index 18517733a2..f6dd1ed27f 100644 --- a/i18n/en.json +++ b/i18n/en.json @@ -149,8 +149,12 @@ "machine_learning_ocr_description": "Use machine learning to recognize text in images", "machine_learning_ocr_enabled": "Enable OCR", "machine_learning_ocr_enabled_description": "If disabled, images will not be encoded for text recognition.", - "machine_learning_ocr_min_score": "Minimum recognition score", - "machine_learning_ocr_min_score_description": "Minimum confidence score for text to be recognized from 0-1. Lower values will recognize more text but may result in false positives.", + "machine_learning_ocr_min_detection_box_score": "Minimum detection box score", + "machine_learning_ocr_min_detection_box_score_description": "Minimum confidence score for a text box to be detected from 0-1. The detection result box is considered a text box if the average score of all pixels within the box is greater than this threshold. Lower values will detect more text boxes but may result in false positives.", + "machine_learning_ocr_min_detection_score": "Minimum detection score", + "machine_learning_ocr_min_detection_score_description": "Minimum confidence score for text to be detected from 0-1. The output probability map, only pixels with scores greater than this threshold are considered text pixels. Lower values will detect more text but may result in false positives.", + "machine_learning_ocr_min_recognition_score": "Minimum recognition score", + "machine_learning_ocr_min_score_recognition_description": "Minimum confidence score for text to be recognized from 0-1. Only text results with scores greater than this threshold are retained. The default value for this parameter is 0, meaning no threshold is applied.", "machine_learning_ocr_model": "OCR model", "machine_learning_ocr_model_description": "Choose an OCR model. PP‑OCRv5_server is based on a deeper network architecture, resulting in a larger model size and higher accuracy. It is suitable for deployment on high-performance servers and can perform robust text recognition in complex images. In contrast, PP‑OCRv5_mobile employs pruning and lightweight design, with fewer parameters, faster loading, and more efficient computation, making it ideal for edge devices while still maintaining excellent OCR performance.", "machine_learning_ocr_orientation_classify_enabled": "Enable orientation classify", diff --git a/i18n/zh_SIMPLIFIED.json b/i18n/zh_SIMPLIFIED.json index 0552e2a81d..5e9ef86f75 100644 --- a/i18n/zh_SIMPLIFIED.json +++ b/i18n/zh_SIMPLIFIED.json @@ -149,8 +149,12 @@ "machine_learning_ocr_description": "使用机器学习识别图片中的文本", "machine_learning_ocr_enabled": "启用文本识别", "machine_learning_ocr_enabled_description": "如果禁用，则不会对图像编码以用于文本识别。", - "machine_learning_ocr_min_score": "最低识别分数", - "machine_learning_ocr_min_score_description": "文本识别的最小置信度分数范围是0到1。较低的值将识别出更多的文本，但可能导致误报。", + "machine_learning_ocr_min_detection_box_score": "最低检测框分数", + "machine_learning_ocr_min_detection_box_score_description": "文本框被检测到的最小置信度分数范围是0到1。检测结果边框内，所有像素点的平均得分大于该阈值时，该结果会被认为是文字区域。较低的值将检测到更多的文本框，但可能导致误报。", + "machine_learning_ocr_min_detection_score": "最低检测分数", + "machine_learning_ocr_min_detection_score_description": "文本检测到的最小置信度分数范围是0到1。输出的概率图中，得分大于该阈值的像素点才会被认为是文字像素点。较低的值将检测到更多的文本，但可能导致误报。", + "machine_learning_ocr_min_recognition_score": "最低识别分数", + "machine_learning_ocr_min_score_recognition_description": "文本识别的最小置信度分数范围是0到1。得分大于该阈值的文本结果会被保留。默认值为 0，表示不设置阈值。", "machine_learning_ocr_model": "文本识别模型", "machine_learning_ocr_model_description": "选择一个文本识别模型。PP‑OCRv5_server 基于更深的网络结构，模型体积较大，准确率更高，适用于部署在高性能服务器上，可在复杂图像中进行稳健的文本识别；而 PP‑OCRv5_mobile 则通过剪枝与轻量化设计，参数量更少、加载更快、计算更高效，适合在边缘设备上运行，同时仍保持出色的 OCR 性能。", "machine_learning_ocr_orientation_classify_enabled": "启用方向分类", diff --git a/machine-learning/immich_ml/models/ocr/paddle.py b/machine-learning/immich_ml/models/ocr/paddle.py index 880a38179f..801f5b5281 100644 --- a/machine-learning/immich_ml/models/ocr/paddle.py +++ b/machine-learning/immich_ml/models/ocr/paddle.py @@ -12,10 +12,9 @@ class PaddleOCRecognizer(InferenceModel): depends = [] identity = (ModelType.OCR, ModelTask.OCR) - def __init__(self, model_name: str, min_score: float = 0.9, **model_kwargs: Any) -> None: - self.min_score = model_kwargs.pop("minScore", min_score) - self.orientation_classify_enabled = model_kwargs.pop("orientationClassifyEnabled", True) - self.unwarping_enabled = model_kwargs.pop("unwarpingEnabled", True) + def __init__(self, model_name: str, **model_kwargs: Any) -> None: + self.orientation_classify_enabled = model_kwargs.get("orientationClassifyEnabled", False) + self.unwarping_enabled = model_kwargs.get("unwarpingEnabled", False) super().__init__(model_name, **model_kwargs) self._load() self.loaded = True @@ -28,23 +27,25 @@ class PaddleOCRecognizer(InferenceModel): use_doc_unwarping=self.unwarping_enabled, ) + def configure(self, **kwargs: Any) -> None: + self.min_detection_score = kwargs.get("minDetectionScore", 0.3) + self.min_detection_box_score = kwargs.get("minDetectionBoxScore", 0.6) + self.min_recognition_score = kwargs.get("minRecognitionScore", 0.0) + def _predict(self, inputs: NDArray[np.uint8] | bytes | Image.Image, **kwargs: Any) -> List[OCROutput]: inputs = decode_cv2(inputs) - results = self.model.predict(inputs) - valid_texts_and_scores = [ - (text, score, box) - for result in results - for text, score, box in zip(result['rec_texts'], result['rec_scores'], result['rec_polys']) - if score >= self.min_score - ] - if not valid_texts_and_scores: - return [] - + results = self.model.predict( + inputs, + text_det_thresh=self.min_detection_score, + text_det_box_thresh=self.min_detection_box_score, + text_rec_score_thresh=self.min_recognition_score + ) return [ OCROutput( text=text, confidence=score, x1=box[0][0], y1=box[0][1], x2=box[1][0], y2=box[1][1], x3=box[2][0], y3=box[2][1], x4=box[3][0], y4=box[3][1] ) - for text, score, box in valid_texts_and_scores + for result in results + for text, score, box in zip(result['rec_texts'], result['rec_scores'], result['rec_polys']) ] diff --git a/open-api/immich-openapi-specs.json b/open-api/immich-openapi-specs.json index 97a7af6715..28125efdb3 100644 --- a/open-api/immich-openapi-specs.json +++ b/open-api/immich-openapi-specs.json @@ -12918,10 +12918,22 @@ "enabled": { "type": "boolean" }, - "minScore": { + "minDetectionBoxScore": { "format": "double", "maximum": 1, - "minimum": 0.1, + "minimum": 0, + "type": "number" + }, + "minDetectionScore": { + "format": "double", + "maximum": 1, + "minimum": 0, + "type": "number" + }, + "minRecognitionScore": { + "format": "double", + "maximum": 1, + "minimum": 0, "type": "number" }, "modelName": { @@ -12936,7 +12948,9 @@ }, "required": [ "enabled", - "minScore", + "minDetectionBoxScore", + "minDetectionScore", + "minRecognitionScore", "modelName", "orientationClassifyEnabled", "unwarpingEnabled" diff --git a/server/src/config.ts b/server/src/config.ts index ce6eceb6fe..88f1325203 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -72,7 +72,9 @@ export interface SystemConfig { ocr: { enabled: boolean; modelName: string; - minScore: number; + minDetectionBoxScore: number; + minDetectionScore: number; + minRecognitionScore: number; unwarpingEnabled: boolean; orientationClassifyEnabled: boolean; }; @@ -253,7 +255,9 @@ export const defaults = Object.freeze({ ocr: { enabled: true, modelName: 'PP-OCRv5_server', - minScore: 0.9, + minDetectionBoxScore: 0.6, + minDetectionScore: 0.3, + minRecognitionScore: 0.0, unwarpingEnabled: false, orientationClassifyEnabled: false, }, diff --git a/server/src/dtos/model-config.dto.ts b/server/src/dtos/model-config.dto.ts index 8f63ed8a54..5baaf5bb04 100644 --- a/server/src/dtos/model-config.dto.ts +++ b/server/src/dtos/model-config.dto.ts @@ -49,11 +49,25 @@ export class FacialRecognitionConfig extends ModelConfig { export class OcrConfig extends ModelConfig { @IsNumber() - @Min(0.1) + @Min(0) @Max(1) @Type(() => Number) @ApiProperty({ type: 'number', format: 'double' }) - minScore!: number; + minDetectionBoxScore!: number; + + @IsNumber() + @Min(0) + @Max(1) + @Type(() => Number) + @ApiProperty({ type: 'number', format: 'double' }) + minDetectionScore!: number; + + @IsNumber() + @Min(0) + @Max(1) + @Type(() => Number) + @ApiProperty({ type: 'number', format: 'double' }) + minRecognitionScore!: number; @ValidateBoolean() unwarpingEnabled!: boolean; diff --git a/server/src/repositories/asset-job.repository.ts b/server/src/repositories/asset-job.repository.ts index d78ffb37bc..0e545e12b1 100644 --- a/server/src/repositories/asset-job.repository.ts +++ b/server/src/repositories/asset-job.repository.ts @@ -356,10 +356,10 @@ export class AssetJobRepository { .$if(!force, (qb) => qb .innerJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') - .where('asset_job_status.ocrAt', 'is', null) - .where('assets.visibility', '!=', AssetVisibility.HIDDEN), + .where('asset_job_status.ocrAt', 'is', null), ) .where('assets.deletedAt', 'is', null) + .where('assets.visibility', '!=', AssetVisibility.HIDDEN) .stream(); } diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index 6bae7eeaaf..633d495296 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -31,7 +31,7 @@ export type ModelPayload = { imagePath: string } | { text: string }; type ModelOptions = { modelName: string }; export type FaceDetectionOptions = ModelOptions & { minScore: number }; -export type OcrOptions = ModelOptions & { minScore: number, unwarpingEnabled: boolean, orientationClassifyEnabled: boolean }; +export type OcrOptions = ModelOptions & { minDetectionBoxScore: number, minDetectionScore: number, minRecognitionScore: number, unwarpingEnabled: boolean, orientationClassifyEnabled: boolean }; type VisualResponse = { imageHeight: number; imageWidth: number }; export type ClipVisualRequest = { [ModelTask.SEARCH]: { [ModelType.VISUAL]: ModelOptions } }; export type ClipVisualResponse = { [ModelTask.SEARCH]: string } & VisualResponse; @@ -49,9 +49,10 @@ export type OCR = { x4: number; y4: number; text: string; + confidence: number; }; -export type OcrRequest = { [ModelTask.OCR]: { [ModelType.OCR]: ModelOptions & { options: { minScore: number } } } }; +export type OcrRequest = { [ModelTask.OCR]: { [ModelType.OCR]: ModelOptions & { options: { minDetectionScore: number, minRecognitionScore: number } } } }; export type OcrResponse = { [ModelTask.OCR]: OCR[] } & VisualResponse; export type FacialRecognitionRequest = { @@ -210,8 +211,8 @@ export class MachineLearningRepository { return formData; } - async ocr(urls: string[], imagePath: string, { modelName, minScore, unwarpingEnabled, orientationClassifyEnabled }: OcrOptions) { - const request = { [ModelTask.OCR]: { [ModelType.OCR]: { modelName, options: { minScore, unwarpingEnabled, orientationClassifyEnabled } } } }; + async ocr(urls: string[], imagePath: string, { modelName, minDetectionBoxScore, minDetectionScore, minRecognitionScore, unwarpingEnabled, orientationClassifyEnabled }: OcrOptions) { + const request = { [ModelTask.OCR]: { [ModelType.OCR]: { modelName, options: { minDetectionBoxScore, minDetectionScore, minRecognitionScore, unwarpingEnabled, orientationClassifyEnabled } } } }; const response = await this.predict(urls, { imagePath }, request); return response[ModelTask.OCR]; } diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index 38c1d3e52f..a9fd594ed3 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -1,11 +1,10 @@ import { Injectable } from '@nestjs/common'; -import { Kysely, sql } from 'kysely'; +import { Kysely, QueryCreator, sql } from 'kysely'; import { InjectKysely } from 'nestjs-kysely'; import { DB } from 'src/db'; import { DummyValue, GenerateSql } from 'src/decorators'; export interface OcrInsertData { - assetId: string; x1: number; y1: number; x2: number; @@ -15,6 +14,7 @@ export interface OcrInsertData { x4: number; y4: number; text: string; + confidence: number; } @Injectable() @@ -32,16 +32,47 @@ export class OcrRepository { async deleteAll(): Promise { await sql`truncate ${sql.table('asset_ocr')}`.execute(this.db); + await sql`truncate ${sql.table('ocr_search')}`.execute(this.db); } - async insertMany(ocrDataList: OcrInsertData[]): Promise { + async upsert(assetId: string, ocrDataList: OcrInsertData[]): Promise { if (ocrDataList.length === 0) { return; } - - await this.db - .insertInto('asset_ocr') - .values(ocrDataList) - .execute(); + + const assetOcrData = ocrDataList.map(item => ({ + assetId, + ...item, + })); + + const searchText = ocrDataList.map(item => item.text.trim()).join(''); + + await this.db.transaction().execute(async (trx: Kysely) => { + await trx + .with('deleted_ocr', (db: QueryCreator) => + db.deleteFrom('asset_ocr').where('assetId', '=', assetId).returningAll() + ) + .insertInto('asset_ocr') + .values(assetOcrData) + .execute(); + + if (searchText.trim()) { + await trx + .with('deleted_search', (db: QueryCreator) => + db.deleteFrom('ocr_search').where('assetId', '=', assetId).returningAll() + ) + .insertInto('ocr_search') + .values({ + assetId, + text: searchText, + }) + .execute(); + } else { + await trx + .deleteFrom('ocr_search') + .where('assetId', '=', assetId) + .execute(); + } + }); } } diff --git a/server/src/repositories/search.repository.ts b/server/src/repositories/search.repository.ts index bacd953c92..06898bc09e 100644 --- a/server/src/repositories/search.repository.ts +++ b/server/src/repositories/search.repository.ts @@ -322,8 +322,8 @@ export class SearchRepository { } const items = await searchAssetBuilder(this.db, options) - .innerJoin('asset_ocr', 'assets.id', 'asset_ocr.assetId') - .where('asset_ocr.text', 'ilike', `%${options.ocr}%`) + .innerJoin('ocr_search', 'assets.id', 'ocr_search.assetId') + .where('ocr_search.text', 'ilike', `%${options.ocr}%`) .limit(pagination.size + 1) .offset((pagination.page - 1) * pagination.size) .execute(); diff --git a/server/src/schema/index.ts b/server/src/schema/index.ts index a57bdef1b9..337a18e1b7 100644 --- a/server/src/schema/index.ts +++ b/server/src/schema/index.ts @@ -48,6 +48,7 @@ import { MemoryTable } from 'src/schema/tables/memory.table'; import { MoveTable } from 'src/schema/tables/move.table'; import { NaturalEarthCountriesTable } from 'src/schema/tables/natural-earth-countries.table'; import { NotificationTable } from 'src/schema/tables/notification.table'; +import { OcrSearchTable } from 'src/schema/tables/ocr-search.table'; import { PartnerAuditTable } from 'src/schema/tables/partner-audit.table'; import { PartnerTable } from 'src/schema/tables/partner.table'; import { PersonAuditTable } from 'src/schema/tables/person-audit.table'; @@ -103,6 +104,7 @@ export class ImmichDatabase { MoveTable, NaturalEarthCountriesTable, NotificationTable, + OcrSearchTable, PartnerAuditTable, PartnerTable, PersonTable, diff --git a/server/src/schema/migrations/1748871815291-CreateOCRTable.ts b/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts similarity index 90% rename from server/src/schema/migrations/1748871815291-CreateOCRTable.ts rename to server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts index 2c1b210424..4bf4d61dd8 100644 --- a/server/src/schema/migrations/1748871815291-CreateOCRTable.ts +++ b/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts @@ -1,7 +1,7 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "text" text NOT NULL);`.execute(db); + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "text" text NOT NULL, "confidence" double precision NOT NULL);`.execute(db); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); await sql`CREATE INDEX "IDX_dc592ec504976f5636e28bb84c" ON "asset_ocr" ("assetId")`.execute(db); diff --git a/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts b/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts new file mode 100644 index 0000000000..388779a2fd --- /dev/null +++ b/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts @@ -0,0 +1,13 @@ +import { Kysely, sql } from 'kysely'; + +export async function up(db: Kysely): Promise { + await sql`CREATE TABLE "ocr_search" ("assetId" uuid NOT NULL, "text" text NOT NULL);`.execute(db); + await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "PK_a8299b7f08ef223f6d32f4482a7" PRIMARY KEY ("assetId");`.execute(db); + await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); +} + +export async function down(db: Kysely): Promise { + await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "PK_a8299b7f08ef223f6d32f4482a7";`.execute(db); + await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7";`.execute(db); + await sql`DROP TABLE "ocr_search";`.execute(db); +} diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index 90c2b23913..e7244c2bfa 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -39,4 +39,7 @@ export class AssetOcrTable { @Column({ type: 'text' }) text!: string; + + @Column({ type: 'double precision' }) + confidence!: number; } diff --git a/server/src/schema/tables/ocr-search.table.ts b/server/src/schema/tables/ocr-search.table.ts new file mode 100644 index 0000000000..e23fd963a9 --- /dev/null +++ b/server/src/schema/tables/ocr-search.table.ts @@ -0,0 +1,15 @@ +import { AssetTable } from 'src/schema/tables/asset.table'; +import { Column, ForeignKeyColumn, Table } from 'src/sql-tools'; + +@Table('ocr_search') +export class OcrSearchTable { + @ForeignKeyColumn(() => AssetTable, { + onDelete: 'CASCADE', + onUpdate: 'CASCADE', + primary: true, + }) + assetId!: string; + + @Column({ type: 'text' }) + text!: string; +} \ No newline at end of file diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index 15ef589524..e027fbf8cf 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -77,7 +77,6 @@ export class OcrService extends BaseService { try { const ocrDataList = ocrResults.map(result => ({ - assetId: id, x1: result.x1, y1: result.y1, x2: result.x2, @@ -87,10 +86,10 @@ export class OcrService extends BaseService { x4: result.x4, y4: result.y4, text: result.text.trim(), + confidence: result.confidence, })); - await this.ocrRepository.insertMany(ocrDataList); - + await this.ocrRepository.upsert(id, ocrDataList); await this.assetRepository.upsertJobStatus({ assetId: asset.id, ocrAt: new Date(), diff --git a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte index 9ab8e88eb7..182dccae62 100644 --- a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte +++ b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte @@ -262,14 +262,38 @@ + + + + From 08e54ec5c149cef213084438007c161762b5adbb Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 9 Jun 2025 13:31:31 -0400 Subject: [PATCH 10/44] sql changes --- server/src/controllers/search.controller.ts | 10 +-- server/src/queries/asset.job.repository.sql | 30 +++++++ server/src/queries/ocr.repository.sql | 54 +++++++++++ .../src/repositories/asset-job.repository.ts | 30 ++++--- server/src/repositories/ocr.repository.ts | 89 ++++++++++--------- server/src/repositories/search.repository.ts | 33 ++----- .../1748926208942-CreateAssetOCRTable.ts | 4 +- .../1748929348618-CreateOCRSearchTable.ts | 3 + server/src/schema/tables/asset-ocr.table.ts | 2 +- server/src/schema/tables/ocr-search.table.ts | 7 +- server/src/services/ocr.service.ts | 61 ++++--------- server/src/services/search.service.ts | 20 +---- server/src/sql-tools/types.ts | 3 +- server/src/utils/database.ts | 13 +++ 14 files changed, 204 insertions(+), 155 deletions(-) create mode 100644 server/src/queries/ocr.repository.sql diff --git a/server/src/controllers/search.controller.ts b/server/src/controllers/search.controller.ts index 777525755f..161d9b278a 100644 --- a/server/src/controllers/search.controller.ts +++ b/server/src/controllers/search.controller.ts @@ -6,7 +6,6 @@ import { PersonResponseDto } from 'src/dtos/person.dto'; import { LargeAssetSearchDto, MetadataSearchDto, - OcrSearchDto, PlacesResponseDto, RandomSearchDto, SearchExploreResponseDto, @@ -16,7 +15,7 @@ import { SearchStatisticsResponseDto, SearchSuggestionRequestDto, SmartSearchDto, - StatisticsSearchDto, + StatisticsSearchDto } from 'src/dtos/search.dto'; import { Permission } from 'src/enum'; import { Auth, Authenticated } from 'src/middleware/auth.guard'; @@ -62,13 +61,6 @@ export class SearchController { return this.service.searchSmart(auth, dto); } - @Post('ocr') - @HttpCode(HttpStatus.OK) - @Authenticated() - searchOcr(@Auth() auth: AuthDto, @Body() dto: OcrSearchDto): Promise { - return this.service.searchOcr(auth, dto); - } - @Get('explore') @Authenticated({ permission: Permission.AssetRead }) getExploreData(@Auth() auth: AuthDto): Promise { diff --git a/server/src/queries/asset.job.repository.sql b/server/src/queries/asset.job.repository.sql index 471de1ac34..cede68cd7d 100644 --- a/server/src/queries/asset.job.repository.sql +++ b/server/src/queries/asset.job.repository.sql @@ -285,6 +285,25 @@ from where "asset"."id" = $2 +-- AssetJobRepository.getForOcr +select + "assets"."visibility", + ( + select + "asset_files"."id", + "asset_files"."path", + "asset_files"."type" + from + "asset_files" + where + "asset_files"."assetId" = "assets"."id" + and "asset_files"."type" = $1 + ) as "previewFile" +from + "assets" +where + "assets"."id" = $2 + -- AssetJobRepository.getForSyncAssets select "asset"."id", @@ -483,6 +502,17 @@ where order by "asset"."fileCreatedAt" desc +-- AssetJobRepository.streamForOcrJob +select + "assets"."id" +from + "assets" + inner join "asset_job_status" on "asset_job_status"."assetId" = "assets"."id" +where + "asset_job_status"."ocrAt" is null + and "assets"."deletedAt" is null + and "assets"."visibility" != $1 + -- AssetJobRepository.streamForMigrationJob select "id" diff --git a/server/src/queries/ocr.repository.sql b/server/src/queries/ocr.repository.sql new file mode 100644 index 0000000000..566997f1ae --- /dev/null +++ b/server/src/queries/ocr.repository.sql @@ -0,0 +1,54 @@ +-- NOTE: This file is auto generated by ./sql-generator + +-- OcrRepository.getById +select + "asset_ocr".* +from + "asset_ocr" +where + "asset_ocr"."id" = $1 + +-- OcrRepository.getByAssetId +select + "asset_ocr".* +from + "asset_ocr" +where + "asset_ocr"."assetId" = $1 + +-- OcrRepository.upsert +with + "deleted_ocr" as ( + delete from "asset_ocr" + where + "assetId" = $1 + ), + "inserted_ocr" as ( + insert into + "asset_ocr" ( + "assetId", + "x1", + "y1", + "x2", + "y2", + "x3", + "y3", + "x4", + "y4", + "text", + "confidence" + ) + values + ($2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12) + ), + "inserted_search" as ( + insert into + "ocr_search" ("assetId", "text") + values + ($13, $14) + on conflict ("assetId") do update + set + "text" = "excluded"."text" + ) +select + 1 as "dummy" diff --git a/server/src/repositories/asset-job.repository.ts b/server/src/repositories/asset-job.repository.ts index 0e545e12b1..18827aeb07 100644 --- a/server/src/repositories/asset-job.repository.ts +++ b/server/src/repositories/asset-job.repository.ts @@ -16,6 +16,7 @@ import { withExifInner, withFaces, withFacesAndPeople, + withFile, withFiles, } from 'src/utils/database'; @@ -192,6 +193,15 @@ export class AssetJobRepository { .executeTakeFirst(); } + @GenerateSql({ params: [DummyValue.UUID] }) + getForOcr(id: string) { + return this.db + .selectFrom('assets') + .select((eb) => ['assets.visibility', withFile(eb, AssetFileType.PREVIEW).as('previewFile')]) + .where('assets.id', '=', id) + .executeTakeFirst(); + } + @GenerateSql({ params: [[DummyValue.UUID]] }) getForSyncAssets(ids: string[]) { return this.db @@ -351,16 +361,16 @@ export class AssetJobRepository { @GenerateSql({ params: [], stream: true }) streamForOcrJob(force?: boolean) { return this.db - .selectFrom('assets') - .select(['assets.id']) - .$if(!force, (qb) => - qb - .innerJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') - .where('asset_job_status.ocrAt', 'is', null), - ) - .where('assets.deletedAt', 'is', null) - .where('assets.visibility', '!=', AssetVisibility.HIDDEN) - .stream(); + .selectFrom('assets') + .select(['assets.id']) + .$if(!force, (qb) => + qb + .innerJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') + .where('asset_job_status.ocrAt', 'is', null), + ) + .where('assets.deletedAt', 'is', null) + .where('assets.visibility', '!=', AssetVisibility.HIDDEN) + .stream(); } @GenerateSql({ params: [DummyValue.DATE], stream: true }) diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index a9fd594ed3..8a9548193b 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -1,10 +1,11 @@ import { Injectable } from '@nestjs/common'; -import { Kysely, QueryCreator, sql } from 'kysely'; +import { Kysely, sql } from 'kysely'; import { InjectKysely } from 'nestjs-kysely'; import { DB } from 'src/db'; import { DummyValue, GenerateSql } from 'src/decorators'; export interface OcrInsertData { + assetId: string; x1: number; y1: number; x2: number; @@ -22,57 +23,59 @@ export class OcrRepository { constructor(@InjectKysely() private db: Kysely) {} @GenerateSql({ params: [DummyValue.UUID] }) - async getById(id: string) { - return this.db - .selectFrom('asset_ocr') - .selectAll('asset_ocr') - .where('asset_ocr.assetId', '=', id) - .executeTakeFirst(); + getById(id: string) { + return this.db.selectFrom('asset_ocr').selectAll('asset_ocr').where('asset_ocr.id', '=', id).executeTakeFirst(); } - async deleteAll(): Promise { - await sql`truncate ${sql.table('asset_ocr')}`.execute(this.db); - await sql`truncate ${sql.table('ocr_search')}`.execute(this.db); + @GenerateSql({ params: [DummyValue.UUID] }) + getByAssetId(id: string) { + return this.db.selectFrom('asset_ocr').selectAll('asset_ocr').where('asset_ocr.assetId', '=', id).execute(); } - async upsert(assetId: string, ocrDataList: OcrInsertData[]): Promise { + deleteAll() { + return this.db.transaction().execute(async (trx: Kysely) => { + await sql`truncate ${sql.table('asset_ocr')}`.execute(trx); + await sql`truncate ${sql.table('ocr_search')}`.execute(trx); + }); + } + + @GenerateSql({ + params: [ + DummyValue.UUID, + [ + { + assetId: DummyValue.UUID, + x1: DummyValue.NUMBER, + y1: DummyValue.NUMBER, + x2: DummyValue.NUMBER, + y2: DummyValue.NUMBER, + x3: DummyValue.NUMBER, + y3: DummyValue.NUMBER, + x4: DummyValue.NUMBER, + y4: DummyValue.NUMBER, + text: DummyValue.STRING, + confidence: DummyValue.NUMBER, + }, + ], + ], + }) + upsert(assetId: string, ocrDataList: OcrInsertData[]) { if (ocrDataList.length === 0) { return; } - const assetOcrData = ocrDataList.map(item => ({ - assetId, - ...item, - })); + const searchText = ocrDataList.map((item) => item.text.trim()).join(' '); - const searchText = ocrDataList.map(item => item.text.trim()).join(''); - - await this.db.transaction().execute(async (trx: Kysely) => { - await trx - .with('deleted_ocr', (db: QueryCreator) => - db.deleteFrom('asset_ocr').where('assetId', '=', assetId).returningAll() - ) - .insertInto('asset_ocr') - .values(assetOcrData) - .execute(); - - if (searchText.trim()) { - await trx - .with('deleted_search', (db: QueryCreator) => - db.deleteFrom('ocr_search').where('assetId', '=', assetId).returningAll() - ) + return this.db + .with('deleted_ocr', (db) => db.deleteFrom('asset_ocr').where('assetId', '=', assetId)) + .with('inserted_ocr', (db) => db.insertInto('asset_ocr').values(ocrDataList)) + .with('inserted_search', (db) => + db .insertInto('ocr_search') - .values({ - assetId, - text: searchText, - }) - .execute(); - } else { - await trx - .deleteFrom('ocr_search') - .where('assetId', '=', assetId) - .execute(); - } - }); + .values({ assetId, text: searchText }) + .onConflict((oc) => oc.column('assetId').doUpdateSet((eb) => ({ text: eb.ref('excluded.text') }))), + ) + .selectNoFrom(sql`1`.as('dummy')) + .execute(); } } diff --git a/server/src/repositories/search.repository.ts b/server/src/repositories/search.repository.ts index 06898bc09e..0c6a9a5a4c 100644 --- a/server/src/repositories/search.repository.ts +++ b/server/src/repositories/search.repository.ts @@ -85,8 +85,7 @@ export interface SearchEmbeddingOptions { } export interface SearchOcrOptions { - ocr: string; - userIds: string[]; + ocr?: string; } export interface SearchPeopleOptions { @@ -119,7 +118,8 @@ type BaseAssetSearchOptions = SearchDateOptions & SearchUserIdOptions & SearchPeopleOptions & SearchTagOptions & - SearchAlbumOptions; + SearchAlbumOptions & + SearchOcrOptions; export type AssetSearchOptions = BaseAssetSearchOptions & SearchRelationOptions; @@ -132,7 +132,8 @@ export type SmartSearchOptions = SearchDateOptions & SearchStatusOptions & SearchUserIdOptions & SearchPeopleOptions & - SearchTagOptions; + SearchTagOptions & + SearchOcrOptions; export type OcrSearchOptions = SearchDateOptions & SearchOcrOptions; @@ -307,30 +308,6 @@ export class SearchRepository { return this.db.selectFrom('smart_search').selectAll().where('assetId', '=', assetId).executeTakeFirst(); } - @GenerateSql({ - params: [ - { page: 1, size: 100 }, - { - userIds: [DummyValue.UUID], - ocr: DummyValue.STRING, - }, - ], - }) - async searchOcr(pagination: SearchPaginationOptions, options: OcrSearchOptions) { - if (!isValidInteger(pagination.size, { min: 1, max: 1000 })) { - throw new Error(`Invalid value for 'size': ${pagination.size}`); - } - - const items = await searchAssetBuilder(this.db, options) - .innerJoin('ocr_search', 'assets.id', 'ocr_search.assetId') - .where('ocr_search.text', 'ilike', `%${options.ocr}%`) - .limit(pagination.size + 1) - .offset((pagination.page - 1) * pagination.size) - .execute(); - - return paginationHelper(items, pagination.size); - } - @GenerateSql({ params: [ { diff --git a/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts b/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts index 4bf4d61dd8..f968f17dc1 100644 --- a/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts @@ -1,7 +1,9 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "text" text NOT NULL, "confidence" double precision NOT NULL);`.execute(db); + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "text" text NOT NULL, "confidence" real NOT NULL);`.execute( + db, + ); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); await sql`CREATE INDEX "IDX_dc592ec504976f5636e28bb84c" ON "asset_ocr" ("assetId")`.execute(db); diff --git a/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts b/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts index 388779a2fd..4598ad0763 100644 --- a/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts +++ b/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts @@ -4,6 +4,9 @@ export async function up(db: Kysely): Promise { await sql`CREATE TABLE "ocr_search" ("assetId" uuid NOT NULL, "text" text NOT NULL);`.execute(db); await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "PK_a8299b7f08ef223f6d32f4482a7" PRIMARY KEY ("assetId");`.execute(db); await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); + await sql`CREATE INDEX "idx_ocr_search_text" ON "ocr_search" USING gin (f_unaccent("text") gin_trgm_ops);`.execute( + db, + ); } export async function down(db: Kysely): Promise { diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index e7244c2bfa..532f593230 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -40,6 +40,6 @@ export class AssetOcrTable { @Column({ type: 'text' }) text!: string; - @Column({ type: 'double precision' }) + @Column({ type: 'real' }) confidence!: number; } diff --git a/server/src/schema/tables/ocr-search.table.ts b/server/src/schema/tables/ocr-search.table.ts index e23fd963a9..4174891e63 100644 --- a/server/src/schema/tables/ocr-search.table.ts +++ b/server/src/schema/tables/ocr-search.table.ts @@ -1,7 +1,12 @@ import { AssetTable } from 'src/schema/tables/asset.table'; -import { Column, ForeignKeyColumn, Table } from 'src/sql-tools'; +import { Column, ForeignKeyColumn, Index, Table } from 'src/sql-tools'; @Table('ocr_search') +@Index({ + name: 'idx_ocr_search_text', + using: 'gin', + expression: 'f_unaccent("text") gin_trgm_ops', +}) export class OcrSearchTable { @ForeignKeyColumn(() => AssetTable, { onDelete: 'CASCADE', diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index e027fbf8cf..ce41b9500f 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -1,19 +1,13 @@ import { Injectable } from '@nestjs/common'; import { JOBS_ASSET_PAGINATION_SIZE } from 'src/constants'; import { OnJob } from 'src/decorators'; -import { - JobName, - JobStatus, - QueueName, -} from 'src/enum'; +import { AssetVisibility, JobName, JobStatus, QueueName } from 'src/enum'; import { BaseService } from 'src/services/base.service'; import { JobItem, JobOf } from 'src/types'; -import { getAssetFiles } from 'src/utils/asset.util'; import { isOcrEnabled } from 'src/utils/misc'; @Injectable() export class OcrService extends BaseService { - @OnJob({ name: JobName.QUEUE_OCR, queue: QueueName.OCR }) async handleQueueOcr({ force, nightly }: JobOf): Promise { const { machineLearning } = await this.getConfig({ withCache: false }); @@ -48,35 +42,24 @@ export class OcrService extends BaseService { return JobStatus.SKIPPED; } - const relations = { files: true }; - const asset = await this.assetRepository.getById(id, relations); - if (!asset) { + const asset = await this.assetJobRepository.getForOcr(id); + if (!asset || !asset.previewFile) { return JobStatus.FAILED; } - if (!asset.files) { - return JobStatus.FAILED; - } - const { previewFile } = getAssetFiles(asset.files); - if (!previewFile) { - return JobStatus.FAILED; + + if (asset.visibility === AssetVisibility.HIDDEN) { + return JobStatus.SKIPPED; } + const ocrResults = await this.machineLearningRepository.ocr( machineLearning.urls, - previewFile.path, - machineLearning.ocr + asset.previewFile, + machineLearning.ocr, ); - if (ocrResults.length === 0) { - this.logger.warn(`No valid OCR results for document ${id}`); - await this.assetRepository.upsertJobStatus({ - assetId: asset.id, - ocrAt: new Date(), - }); - return JobStatus.SUCCESS; - } - - try { - const ocrDataList = ocrResults.map(result => ({ + if (ocrResults.length > 0) { + const ocrDataList = ocrResults.map((result) => ({ + assetId: id, x1: result.x1, y1: result.y1, x2: result.x2, @@ -85,22 +68,16 @@ export class OcrService extends BaseService { y3: result.y3, x4: result.x4, y4: result.y4, - text: result.text.trim(), + text: result.text, confidence: result.confidence, })); await this.ocrRepository.upsert(id, ocrDataList); - await this.assetRepository.upsertJobStatus({ - assetId: asset.id, - ocrAt: new Date(), - }); - - this.logger.debug(`Processed ${ocrResults.length} OCR result(s) for ${id}`); - return JobStatus.SUCCESS; - } catch (error) { - this.logger.error(`Failed to insert OCR results for ${id}:`, error); - return JobStatus.FAILED; } - } -} \ No newline at end of file + await this.assetRepository.upsertJobStatus({ assetId: id, ocrAt: new Date() }); + + this.logger.debug(`Processed ${ocrResults.length} OCR result(s) for ${id}`); + return JobStatus.SUCCESS; + } +} diff --git a/server/src/services/search.service.ts b/server/src/services/search.service.ts index 5dd8c3eb60..51a2c94338 100644 --- a/server/src/services/search.service.ts +++ b/server/src/services/search.service.ts @@ -7,7 +7,6 @@ import { LargeAssetSearchDto, mapPlaces, MetadataSearchDto, - OcrSearchDto, PlacesResponseDto, RandomSearchDto, SearchPeopleDto, @@ -23,7 +22,7 @@ import { AssetOrder, AssetVisibility, Permission } from 'src/enum'; import { BaseService } from 'src/services/base.service'; import { requireElevatedPermission } from 'src/utils/access'; import { getMyPartnerIds } from 'src/utils/asset.util'; -import { isOcrEnabled, isSmartSearchEnabled } from 'src/utils/misc'; +import { isSmartSearchEnabled } from 'src/utils/misc'; @Injectable() export class SearchService extends BaseService { @@ -146,23 +145,6 @@ export class SearchService extends BaseService { return this.mapResponse(items, hasNextPage ? (page + 1).toString() : null, { auth }); } - async searchOcr(auth: AuthDto, dto: OcrSearchDto): Promise { - const { machineLearning } = await this.getConfig({ withCache: false }); - if (!isOcrEnabled(machineLearning)) { - throw new BadRequestException('OCR is not enabled'); - } - - const userIds = await this.getUserIdsToSearch(auth); - const page = dto.page ?? 1; - const size = dto.size || 250; - const { items, hasNextPage } = await this.searchRepository.searchOcr( - { page, size }, - { ...dto, userIds }, - ); - - return this.mapResponse(items, hasNextPage ? (page + 1).toString() : null, { auth }); - } - async getAssetsByCity(auth: AuthDto): Promise { const userIds = await this.getUserIdsToSearch(auth); const assets = await this.searchRepository.getAssetsByCity(userIds); diff --git a/server/src/sql-tools/types.ts b/server/src/sql-tools/types.ts index 9529067040..899ba1b963 100644 --- a/server/src/sql-tools/types.ts +++ b/server/src/sql-tools/types.ts @@ -322,7 +322,8 @@ export type ColumnType = | 'uuid' | 'vector' | 'enum' - | 'serial'; + | 'serial' + | 'real'; export type DatabaseSchema = { databaseName: string; diff --git a/server/src/utils/database.ts b/server/src/utils/database.ts index d9fe6b7897..36ad2a7003 100644 --- a/server/src/utils/database.ts +++ b/server/src/utils/database.ts @@ -200,6 +200,14 @@ export function withFiles(eb: ExpressionBuilder, type?: AssetFileTy ).as('files'); } +export function withFile(eb: ExpressionBuilder, type: AssetFileType) { + return eb + .selectFrom('asset_file') + .select(columns.assetFiles) + .whereRef('asset_file.assetId', '=', 'asset.id') + .where('asset_file.type', '=', type); +} + export function withFacesAndPeople(eb: ExpressionBuilder, withDeletedFace?: boolean) { return jsonArrayFrom( eb @@ -380,6 +388,11 @@ export function searchAssetBuilder(kysely: Kysely, options: AssetSearchBuild .innerJoin('asset_exif', 'asset.id', 'asset_exif.assetId') .where(sql`f_unaccent(asset_exif.description)`, 'ilike', sql`'%' || f_unaccent(${options.description}) || '%'`), ) + .$if(!!options.ocr, (qb) => + qb + .innerJoin('ocr_search', 'assets.id', 'ocr_search.assetId') + .where(() => sql`f_unaccent(ocr_search.text) %>> f_unaccent(${options.ocr!})`), + ) .$if(!!options.type, (qb) => qb.where('asset.type', '=', options.type!)) .$if(options.isFavorite !== undefined, (qb) => qb.where('asset.isFavorite', '=', options.isFavorite!)) .$if(options.isOffline !== undefined, (qb) => qb.where('asset.isOffline', '=', options.isOffline!)) From c59f932bf0008ed3ee671cc73047f1472ff2ce78 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Tue, 10 Jun 2025 17:34:52 -0400 Subject: [PATCH 11/44] use rapidocr --- machine-learning/immich_ml/config.py | 1 + machine-learning/immich_ml/models/__init__.py | 11 +- machine-learning/immich_ml/models/base.py | 5 +- .../immich_ml/models/ocr/detection.py | 79 ++++++ .../immich_ml/models/ocr/paddle.py | 51 ---- .../immich_ml/models/ocr/recognition.py | 115 ++++++++ .../immich_ml/models/ocr/schemas.py | 26 ++ machine-learning/immich_ml/schemas.py | 16 +- machine-learning/pyproject.toml | 15 +- machine-learning/uv.lock | 257 ++++-------------- 10 files changed, 292 insertions(+), 284 deletions(-) create mode 100644 machine-learning/immich_ml/models/ocr/detection.py delete mode 100644 machine-learning/immich_ml/models/ocr/paddle.py create mode 100644 machine-learning/immich_ml/models/ocr/recognition.py create mode 100644 machine-learning/immich_ml/models/ocr/schemas.py diff --git a/machine-learning/immich_ml/config.py b/machine-learning/immich_ml/config.py index 939afbc98b..c4d13ee7d2 100644 --- a/machine-learning/immich_ml/config.py +++ b/machine-learning/immich_ml/config.py @@ -41,6 +41,7 @@ class PreloadModelData(BaseModel): class MaxBatchSize(BaseModel): facial_recognition: int | None = None + text_recognition: int | None = None class Settings(BaseSettings): diff --git a/machine-learning/immich_ml/models/__init__.py b/machine-learning/immich_ml/models/__init__.py index 527bbdb907..6c3a74c963 100644 --- a/machine-learning/immich_ml/models/__init__.py +++ b/machine-learning/immich_ml/models/__init__.py @@ -3,12 +3,14 @@ from typing import Any from immich_ml.models.base import InferenceModel from immich_ml.models.clip.textual import MClipTextualEncoder, OpenClipTextualEncoder from immich_ml.models.clip.visual import OpenClipVisualEncoder +from immich_ml.models.ocr.detection import TextDetector +from immich_ml.models.ocr.recognition import TextRecognizer from immich_ml.schemas import ModelSource, ModelTask, ModelType from .constants import get_model_source from .facial_recognition.detection import FaceDetector from .facial_recognition.recognition import FaceRecognizer -from .ocr.paddle import PaddleOCRecognizer + def get_model_class(model_name: str, model_type: ModelType, model_task: ModelTask) -> type[InferenceModel]: source = get_model_source(model_name) @@ -28,8 +30,11 @@ def get_model_class(model_name: str, model_type: ModelType, model_task: ModelTas case ModelSource.INSIGHTFACE, ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION: return FaceRecognizer - case ModelSource.PADDLE, ModelType.OCR, ModelTask.OCR: - return PaddleOCRecognizer + case ModelSource.PADDLE, ModelType.DETECTION, ModelTask.OCR: + return TextDetector + + case ModelSource.PADDLE, ModelType.RECOGNITION, ModelTask.OCR: + return TextRecognizer case _: raise ValueError(f"Unknown model combination: {source}, {model_type}, {model_task}") diff --git a/machine-learning/immich_ml/models/base.py b/machine-learning/immich_ml/models/base.py index 3ee701fae0..5c40b21f32 100644 --- a/machine-learning/immich_ml/models/base.py +++ b/machine-learning/immich_ml/models/base.py @@ -38,9 +38,8 @@ class InferenceModel(ABC): def download(self) -> None: if not self.cached: - log.info( - f"Downloading {self.model_type.replace('-', ' ')} model '{self.model_name}'. This may take a while." - ) + model_type = self.model_type.replace("-", " ") + log.info(f"Downloading {model_type} model '{self.model_name}' to {self.model_path}. This may take a while.") self._download() def load(self) -> None: diff --git a/machine-learning/immich_ml/models/ocr/detection.py b/machine-learning/immich_ml/models/ocr/detection.py new file mode 100644 index 0000000000..2b80cea9fd --- /dev/null +++ b/machine-learning/immich_ml/models/ocr/detection.py @@ -0,0 +1,79 @@ +from typing import Any + +import numpy as np +from PIL import Image +from rapidocr.ch_ppocr_det import TextDetector as RapidTextDetector +from rapidocr.inference_engine.base import FileInfo, InferSession +from rapidocr.utils import DownloadFile, DownloadFileInput +from rapidocr.utils.typings import EngineType, LangDet, OCRVersion, TaskType +from rapidocr.utils.typings import ModelType as RapidModelType + +from immich_ml.config import log +from immich_ml.models.base import InferenceModel +from immich_ml.models.transforms import decode_cv2 +from immich_ml.schemas import ModelSession, ModelTask, ModelType + +from .schemas import OcrOptions, TextDetectionOutput + + +class TextDetector(InferenceModel): + depends = [] + identity = (ModelType.DETECTION, ModelTask.OCR) + + def __init__(self, model_name: str, **model_kwargs: Any) -> None: + super().__init__(model_name, **model_kwargs) + self.max_resolution = 1440 + self.min_score = 0.5 + self.score_mode = "fast" + self._empty: TextDetectionOutput = { + "resized": np.empty(0, dtype=np.float32), + "boxes": np.empty(0, dtype=np.float32), + "scores": (), + } + + def _download(self) -> None: + model_info = InferSession.get_model_url( + FileInfo( + engine_type=EngineType.ONNXRUNTIME, + ocr_version=OCRVersion.PPOCRV5, + task_type=TaskType.DET, + lang_type=LangDet.CH, + model_type=RapidModelType.MOBILE if "mobile" in self.model_name else RapidModelType.SERVER, + ) + ) + download_params = DownloadFileInput( + file_url=model_info["model_dir"], + sha256=model_info["SHA256"], + save_path=self.model_path, + logger=log, + ) + DownloadFile.run(download_params) + + def _load(self) -> ModelSession: + session = self._make_session(self.model_path) + self.model = RapidTextDetector( + OcrOptions( + session=session.session, + limit_side_len=self.max_resolution, + limit_type="min", + box_thresh=self.min_score, + score_mode=self.score_mode, + ) + ) + return session + + def configure(self, **kwargs: Any) -> None: + self.max_resolution = kwargs.get("maxResolution", self.max_resolution) + self.min_score = kwargs.get("minScore", self.min_score) + self.score_mode = kwargs.get("scoreMode", self.score_mode) + + def _predict(self, inputs: bytes | Image.Image, **kwargs: Any) -> TextDetectionOutput: + results = self.model(decode_cv2(inputs)) + if results.boxes is None or results.scores is None or results.img is None: + return self._empty + log.info(f"{results.boxes=}, {results.scores=}") + return { + "resized": results.img, + "boxes": np.array(results.boxes, dtype=np.float32), + "scores": np.array(results.scores, dtype=np.float32), + } diff --git a/machine-learning/immich_ml/models/ocr/paddle.py b/machine-learning/immich_ml/models/ocr/paddle.py deleted file mode 100644 index 801f5b5281..0000000000 --- a/machine-learning/immich_ml/models/ocr/paddle.py +++ /dev/null @@ -1,51 +0,0 @@ -from typing import Any, List - -import numpy as np -from numpy.typing import NDArray -from paddleocr import PaddleOCR -from PIL import Image -from immich_ml.models.base import InferenceModel -from immich_ml.models.transforms import decode_cv2 -from immich_ml.schemas import OCROutput, ModelTask, ModelType - -class PaddleOCRecognizer(InferenceModel): - depends = [] - identity = (ModelType.OCR, ModelTask.OCR) - - def __init__(self, model_name: str, **model_kwargs: Any) -> None: - self.orientation_classify_enabled = model_kwargs.get("orientationClassifyEnabled", False) - self.unwarping_enabled = model_kwargs.get("unwarpingEnabled", False) - super().__init__(model_name, **model_kwargs) - self._load() - self.loaded = True - - def _load(self) -> PaddleOCR: - self.model = PaddleOCR( - text_detection_model_name=f"{self.model_name}_det", - text_recognition_model_name=f"{self.model_name}_rec", - use_doc_orientation_classify=self.orientation_classify_enabled, - use_doc_unwarping=self.unwarping_enabled, - ) - - def configure(self, **kwargs: Any) -> None: - self.min_detection_score = kwargs.get("minDetectionScore", 0.3) - self.min_detection_box_score = kwargs.get("minDetectionBoxScore", 0.6) - self.min_recognition_score = kwargs.get("minRecognitionScore", 0.0) - - def _predict(self, inputs: NDArray[np.uint8] | bytes | Image.Image, **kwargs: Any) -> List[OCROutput]: - inputs = decode_cv2(inputs) - results = self.model.predict( - inputs, - text_det_thresh=self.min_detection_score, - text_det_box_thresh=self.min_detection_box_score, - text_rec_score_thresh=self.min_recognition_score - ) - return [ - OCROutput( - text=text, confidence=score, - x1=box[0][0], y1=box[0][1], x2=box[1][0], y2=box[1][1], - x3=box[2][0], y3=box[2][1], x4=box[3][0], y4=box[3][1] - ) - for result in results - for text, score, box in zip(result['rec_texts'], result['rec_scores'], result['rec_polys']) - ] diff --git a/machine-learning/immich_ml/models/ocr/recognition.py b/machine-learning/immich_ml/models/ocr/recognition.py new file mode 100644 index 0000000000..74b3862dca --- /dev/null +++ b/machine-learning/immich_ml/models/ocr/recognition.py @@ -0,0 +1,115 @@ +from typing import Any + +import cv2 +import numpy as np +from PIL.Image import Image +from rapidocr.ch_ppocr_rec import TextRecInput +from rapidocr.ch_ppocr_rec import TextRecognizer as RapidTextRecognizer +from rapidocr.inference_engine.base import FileInfo, InferSession +from rapidocr.utils import DownloadFile, DownloadFileInput +from rapidocr.utils.typings import EngineType, LangDet, OCRVersion, TaskType +from rapidocr.utils.typings import ModelType as RapidModelType + +from immich_ml.config import log, settings +from immich_ml.models.base import InferenceModel +from immich_ml.schemas import ModelSession, ModelTask, ModelType + +from .schemas import OcrOptions, TextDetectionOutput, TextRecognitionOutput + + +class TextRecognizer(InferenceModel): + depends = [(ModelType.DETECTION, ModelTask.OCR)] + identity = (ModelType.RECOGNITION, ModelTask.OCR) + + def __init__(self, model_name: str, **model_kwargs: Any) -> None: + self.min_score = model_kwargs.get("minScore", 0.5) + self._empty: TextRecognitionOutput = { + "box": np.empty(0, dtype=np.float32), + "boxScore": [], + "text": [], + "textScore": [], + } + super().__init__(model_name, **model_kwargs) + + def _download(self) -> None: + model_info = InferSession.get_model_url( + FileInfo( + engine_type=EngineType.ONNXRUNTIME, + ocr_version=OCRVersion.PPOCRV5, + task_type=TaskType.REC, + lang_type=LangDet.CH, + model_type=RapidModelType.MOBILE if "mobile" in self.model_name else RapidModelType.SERVER, + ) + ) + download_params = DownloadFileInput( + file_url=model_info["model_dir"], + sha256=model_info["SHA256"], + save_path=self.model_path, + logger=log, + ) + DownloadFile.run(download_params) + + def _load(self) -> ModelSession: + session = self._make_session(self.model_path) + self.model = RapidTextRecognizer( + OcrOptions( + session=session.session, + rec_batch_num=settings.max_batch_size.text_recognition if settings.max_batch_size is not None else 6, + rec_img_shape=(3, 48, 320), + ) + ) + return session + + def configure(self, **kwargs: Any) -> None: + self.min_score = kwargs.get("minScore", self.min_score) + + def _predict(self, _: Image, texts: TextDetectionOutput, **kwargs: Any) -> TextRecognitionOutput: + boxes, resized_img, box_scores = texts["boxes"], texts["resized"], texts["scores"] + if boxes.shape[0] == 0: + return self._empty + rec = self.model(TextRecInput(img=self.get_crop_img_list(resized_img, boxes))) + if rec.txts is None: + return self._empty + + height, width = resized_img.shape[0:2] + log.info(f"Image shape: width={width}, height={height}") + boxes[:, :, 0] /= width + boxes[:, :, 1] /= height + + text_scores = np.array(rec.scores) + valid_text_score_idx = text_scores > 0.5 + valid_score_idx_list = valid_text_score_idx.tolist() + return { + "box": boxes.reshape(-1, 8)[valid_text_score_idx], + "text": [rec.txts[i] for i in range(len(rec.txts)) if valid_score_idx_list[i]], + "boxScore": box_scores[valid_text_score_idx], + "textScore": text_scores[valid_text_score_idx], + } + + def get_crop_img_list(self, img: np.ndarray, boxes: np.ndarray) -> list[np.ndarray]: + img_crop_width = np.maximum( + np.linalg.norm(boxes[:, 1] - boxes[:, 0], axis=1), np.linalg.norm(boxes[:, 2] - boxes[:, 3], axis=1) + ).astype(np.int32) + img_crop_height = np.maximum( + np.linalg.norm(boxes[:, 0] - boxes[:, 3], axis=1), np.linalg.norm(boxes[:, 1] - boxes[:, 2], axis=1) + ).astype(np.int32) + pts_std = np.zeros((img_crop_width.shape[0], 4, 2), dtype=np.float32) + pts_std[:, 1:3, 0] = img_crop_width[:, None] + pts_std[:, 2:4, 1] = img_crop_height[:, None] + + img_crop_sizes = np.stack([img_crop_width, img_crop_height], axis=1).tolist() + imgs = [] + for box, pts_std, dst_size in zip(list(boxes), list(pts_std), img_crop_sizes): + M = cv2.getPerspectiveTransform(box, pts_std) + dst_img = cv2.warpPerspective( + img, + M, + dst_size, + borderMode=cv2.BORDER_REPLICATE, + flags=cv2.INTER_CUBIC, + ) + dst_height, dst_width = dst_img.shape[0:2] + if dst_height * 1.0 / dst_width >= 1.5: + dst_img = np.rot90(dst_img) + imgs.append(dst_img) + return imgs diff --git a/machine-learning/immich_ml/models/ocr/schemas.py b/machine-learning/immich_ml/models/ocr/schemas.py new file mode 100644 index 0000000000..bacc60bb2a --- /dev/null +++ b/machine-learning/immich_ml/models/ocr/schemas.py @@ -0,0 +1,26 @@ +from typing import Iterable + +import numpy as np +import numpy.typing as npt +from rapidocr.utils.typings import EngineType +from typing_extensions import TypedDict + + +class TextDetectionOutput(TypedDict): + resized: npt.NDArray[np.float32] + boxes: npt.NDArray[np.float32] + scores: Iterable[float] + + +class TextRecognitionOutput(TypedDict): + box: npt.NDArray[np.float32] + boxScore: Iterable[float] + text: Iterable[str] + textScore: Iterable[float] + + +# RapidOCR expects engine_type to be an attribute +class OcrOptions(dict): + def __init__(self, **options): + super().__init__(**options) + self.engine_type = EngineType.ONNXRUNTIME diff --git a/machine-learning/immich_ml/schemas.py b/machine-learning/immich_ml/schemas.py index e95b51b11d..5cf5a6bc35 100644 --- a/machine-learning/immich_ml/schemas.py +++ b/machine-learning/immich_ml/schemas.py @@ -25,6 +25,7 @@ class ModelTask(StrEnum): SEARCH = "clip" OCR = "ocr" + class ModelType(StrEnum): DETECTION = "detection" RECOGNITION = "recognition" @@ -32,6 +33,7 @@ class ModelType(StrEnum): VISUAL = "visual" OCR = "ocr" + class ModelFormat(StrEnum): ARMNN = "armnn" ONNX = "onnx" @@ -44,6 +46,7 @@ class ModelSource(StrEnum): OPENCLIP = "openclip" PADDLE = "paddle" + ModelIdentity = tuple[ModelType, ModelTask] @@ -87,19 +90,6 @@ class DetectedFace(TypedDict): FacialRecognitionOutput = list[DetectedFace] -class OCROutput(TypedDict): - text: str - confidence: float - x1: int - y1: int - x2: int - y2: int - x3: int - y3: int - x4: int - y4: int - - class PipelineEntry(TypedDict): modelName: str options: dict[str, Any] diff --git a/machine-learning/pyproject.toml b/machine-learning/pyproject.toml index aba08578a9..4e70163711 100644 --- a/machine-learning/pyproject.toml +++ b/machine-learning/pyproject.toml @@ -24,6 +24,7 @@ dependencies = [ "uvicorn[standard]>=0.22.0,<1.0", "paddleocr>=3.0.0", "setuptools>=78.1.0", + "rapidocr>=3.1.0", ] [dependency-groups] @@ -50,15 +51,11 @@ lint = [ dev = ["locust>=2.15.1", { include-group = "test" }, { include-group = "lint" }] [project.optional-dependencies] -cpu = ["onnxruntime>=1.15.0,<2", "paddlepaddle==3.0.0rc1"] -cuda = ["onnxruntime-gpu>=1.17.0,<2", "paddlepaddle-gpu==3.0.0rc1"] -openvino = ["onnxruntime-openvino>=1.17.1,<1.19.0", "paddlepaddle==3.0.0rc1"] -armnn = ["onnxruntime>=1.15.0,<2", "paddlepaddle==3.0.0rc1"] -rknn = [ - "onnxruntime>=1.15.0,<2", - "rknn-toolkit-lite2>=2.3.0,<3", - 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super().__init__(model_name, **model_kwargs) + super().__init__(model_name, **model_kwargs, model_format=ModelFormat.ONNX) def _download(self) -> None: model_info = InferSession.get_model_url( @@ -50,7 +51,8 @@ class TextRecognizer(InferenceModel): DownloadFile.run(download_params) def _load(self) -> ModelSession: - session = self._make_session(self.model_path) + # TODO: support other runtimes + session = OrtSession(self.model_path) self.model = RapidTextRecognizer( OcrOptions( session=session.session, @@ -80,7 +82,7 @@ class TextRecognizer(InferenceModel): valid_text_score_idx = text_scores > 0.5 valid_score_idx_list = valid_text_score_idx.tolist() return { - "box": boxes.reshape(-1, 8)[valid_text_score_idx], + "box": boxes.reshape(-1, 8)[valid_text_score_idx].reshape(-1), "text": [rec.txts[i] for i in range(len(rec.txts)) if valid_score_idx_list[i]], "boxScore": box_scores[valid_text_score_idx], "textScore": text_scores[valid_text_score_idx], diff --git a/machine-learning/immich_ml/models/ocr/schemas.py b/machine-learning/immich_ml/models/ocr/schemas.py index bacc60bb2a..8db2fdc65c 100644 --- a/machine-learning/immich_ml/models/ocr/schemas.py +++ b/machine-learning/immich_ml/models/ocr/schemas.py @@ -9,7 +9,7 @@ from typing_extensions import TypedDict class TextDetectionOutput(TypedDict): resized: npt.NDArray[np.float32] boxes: npt.NDArray[np.float32] - scores: Iterable[float] + scores: npt.NDArray[np.float32] class TextRecognitionOutput(TypedDict): diff --git a/machine-learning/immich_ml/sessions/ort.py b/machine-learning/immich_ml/sessions/ort.py index e7d8635876..538da6b11c 100644 --- a/machine-learning/immich_ml/sessions/ort.py +++ b/machine-learning/immich_ml/sessions/ort.py @@ -14,6 +14,7 @@ from ..config import log, settings class OrtSession: + session: ort.InferenceSession def __init__( self, model_path: Path | str, diff --git a/server/src/config.ts b/server/src/config.ts index 88f1325203..64cd968db1 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -72,11 +72,9 @@ export interface SystemConfig { ocr: { enabled: boolean; modelName: string; - minDetectionBoxScore: number; minDetectionScore: number; minRecognitionScore: number; - unwarpingEnabled: boolean; - orientationClassifyEnabled: boolean; + maxResolution: number; }; }; map: { @@ -255,11 +253,9 @@ export const defaults = Object.freeze({ ocr: { enabled: true, modelName: 'PP-OCRv5_server', - minDetectionBoxScore: 0.6, minDetectionScore: 0.3, minRecognitionScore: 0.0, - unwarpingEnabled: false, - orientationClassifyEnabled: false, + maxResolution: 1440, }, }, map: { diff --git a/server/src/dtos/model-config.dto.ts b/server/src/dtos/model-config.dto.ts index 5baaf5bb04..527317346a 100644 --- a/server/src/dtos/model-config.dto.ts +++ b/server/src/dtos/model-config.dto.ts @@ -49,29 +49,22 @@ export class FacialRecognitionConfig extends ModelConfig { export class OcrConfig extends ModelConfig { @IsNumber() - @Min(0) - @Max(1) + @Min(1) @Type(() => Number) - @ApiProperty({ type: 'number', format: 'double' }) - minDetectionBoxScore!: number; + @ApiProperty({ type: 'integer' }) + maxResolution!: number; @IsNumber() - @Min(0) + @Min(0.1) @Max(1) @Type(() => Number) @ApiProperty({ type: 'number', format: 'double' }) minDetectionScore!: number; @IsNumber() - @Min(0) + @Min(0.1) @Max(1) @Type(() => Number) @ApiProperty({ type: 'number', format: 'double' }) minRecognitionScore!: number; - - @ValidateBoolean() - unwarpingEnabled!: boolean; - - @ValidateBoolean() - orientationClassifyEnabled!: boolean; } diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index 633d495296..839d9f33cb 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -31,7 +31,11 @@ export type ModelPayload = { imagePath: string } | { text: string }; type ModelOptions = { modelName: string }; export type FaceDetectionOptions = ModelOptions & { minScore: number }; -export type OcrOptions = ModelOptions & { minDetectionBoxScore: number, minDetectionScore: number, minRecognitionScore: number, unwarpingEnabled: boolean, orientationClassifyEnabled: boolean }; +export type OcrOptions = ModelOptions & { + minDetectionScore: number; + minRecognitionScore: number; + maxResolution: number; +}; type VisualResponse = { imageHeight: number; imageWidth: number }; export type ClipVisualRequest = { [ModelTask.SEARCH]: { [ModelType.VISUAL]: ModelOptions } }; export type ClipVisualResponse = { [ModelTask.SEARCH]: string } & VisualResponse; @@ -40,20 +44,19 @@ export type ClipTextualRequest = { [ModelTask.SEARCH]: { [ModelType.TEXTUAL]: Mo export type ClipTextualResponse = { [ModelTask.SEARCH]: string }; export type OCR = { - x1: number; - y1: number; - x2: number; - y2: number; - x3: number; - y3: number; - x4: number; - y4: number; - text: string; - confidence: number; + text: string[]; + box: number[]; + boxScore: number[]; + textScore: number[]; }; -export type OcrRequest = { [ModelTask.OCR]: { [ModelType.OCR]: ModelOptions & { options: { minDetectionScore: number, minRecognitionScore: number } } } }; -export type OcrResponse = { [ModelTask.OCR]: OCR[] } & VisualResponse; +export type OcrRequest = { + [ModelTask.OCR]: { + [ModelType.DETECTION]: ModelOptions & { options: { minScore: number; maxResolution: number } }; + [ModelType.RECOGNITION]: ModelOptions & { options: { minScore: number } }; + }; +}; +export type OcrResponse = { [ModelTask.OCR]: OCR } & VisualResponse; export type FacialRecognitionRequest = { [ModelTask.FACIAL_RECOGNITION]: { @@ -211,8 +214,17 @@ export class MachineLearningRepository { return formData; } - async ocr(urls: string[], imagePath: string, { modelName, minDetectionBoxScore, minDetectionScore, minRecognitionScore, unwarpingEnabled, orientationClassifyEnabled }: OcrOptions) { - const request = { [ModelTask.OCR]: { [ModelType.OCR]: { modelName, options: { minDetectionBoxScore, minDetectionScore, minRecognitionScore, unwarpingEnabled, orientationClassifyEnabled } } } }; + async ocr( + urls: string[], + imagePath: string, + { modelName, minDetectionScore, minRecognitionScore, maxResolution }: OcrOptions, + ) { + const request = { + [ModelTask.OCR]: { + [ModelType.DETECTION]: { modelName, options: { minScore: minDetectionScore, maxResolution } }, + [ModelType.RECOGNITION]: { modelName, options: { minScore: minRecognitionScore } }, + }, + }; const response = await this.predict(urls, { imagePath }, request); return response[ModelTask.OCR]; } diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index 8a9548193b..01463a7fb3 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -1,23 +1,9 @@ import { Injectable } from '@nestjs/common'; -import { Kysely, sql } from 'kysely'; +import { Insertable, Kysely, sql } from 'kysely'; import { InjectKysely } from 'nestjs-kysely'; -import { DB } from 'src/db'; +import { AssetOcr, DB } from 'src/db'; import { DummyValue, GenerateSql } from 'src/decorators'; -export interface OcrInsertData { - assetId: string; - x1: number; - y1: number; - x2: number; - y2: number; - x3: number; - y3: number; - x4: number; - y4: number; - text: string; - confidence: number; -} - @Injectable() export class OcrRepository { constructor(@InjectKysely() private db: Kysely) {} @@ -54,28 +40,26 @@ export class OcrRepository { x4: DummyValue.NUMBER, y4: DummyValue.NUMBER, text: DummyValue.STRING, - confidence: DummyValue.NUMBER, + boxScore: DummyValue.NUMBER, + textScore: DummyValue.NUMBER, }, ], ], }) - upsert(assetId: string, ocrDataList: OcrInsertData[]) { - if (ocrDataList.length === 0) { - return; + upsert(assetId: string, ocrDataList: Insertable[]) { + let query = this.db.with('deleted_ocr', (db) => db.deleteFrom('asset_ocr').where('assetId', '=', assetId)); + if (ocrDataList.length > 0) { + const searchText = ocrDataList.map((item) => item.text.trim()).join(' '); + (query as any) = query + .with('inserted_ocr', (db) => db.insertInto('asset_ocr').values(ocrDataList)) + .with('inserted_search', (db) => + db + .insertInto('ocr_search') + .values({ assetId, text: searchText }) + .onConflict((oc) => oc.column('assetId').doUpdateSet((eb) => ({ text: eb.ref('excluded.text') }))), + ); } - const searchText = ocrDataList.map((item) => item.text.trim()).join(' '); - - return this.db - .with('deleted_ocr', (db) => db.deleteFrom('asset_ocr').where('assetId', '=', assetId)) - .with('inserted_ocr', (db) => db.insertInto('asset_ocr').values(ocrDataList)) - .with('inserted_search', (db) => - db - .insertInto('ocr_search') - .values({ assetId, text: searchText }) - .onConflict((oc) => oc.column('assetId').doUpdateSet((eb) => ({ text: eb.ref('excluded.text') }))), - ) - .selectNoFrom(sql`1`.as('dummy')) - .execute(); + return query.selectNoFrom(sql`1`.as('dummy')).execute(); } } diff --git a/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts b/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts similarity index 75% rename from server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts rename to server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts index f968f17dc1..b3ff4aa3f0 100644 --- a/server/src/schema/migrations/1748926208942-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts @@ -1,7 +1,7 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "text" text NOT NULL, "confidence" real NOT NULL);`.execute( + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT immich_uuid_v7(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( db, ); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); diff --git a/server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts b/server/src/schema/migrations/1750091089793-CreateOCRSearchTable.ts similarity index 100% rename from server/src/schema/migrations/1748929348618-CreateOCRSearchTable.ts rename to server/src/schema/migrations/1750091089793-CreateOCRSearchTable.ts diff --git a/server/src/schema/migrations/1748858302889-UpsertOcrAssetJobStatus.ts b/server/src/schema/migrations/1750091146366-UpsertOcrAssetJobStatus.ts similarity index 100% rename from server/src/schema/migrations/1748858302889-UpsertOcrAssetJobStatus.ts rename to server/src/schema/migrations/1750091146366-UpsertOcrAssetJobStatus.ts diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index 532f593230..b29136ccd7 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -6,13 +6,12 @@ export class AssetOcrTable { @PrimaryGeneratedColumn() id!: string; - @ForeignKeyColumn(() => AssetTable, { - onDelete: 'CASCADE', - onUpdate: 'CASCADE', - index: true, - }) + @ForeignKeyColumn(() => AssetTable, { onDelete: 'CASCADE', onUpdate: 'CASCADE' }) assetId!: string; + @Column({ type: 'text' }) + text!: string; + @Column({ type: 'integer' }) x1!: number; @@ -37,9 +36,9 @@ export class AssetOcrTable { @Column({ type: 'integer' }) y4!: number; - @Column({ type: 'text' }) - text!: string; + @Column({ type: 'real' }) + boxScore!: number; @Column({ type: 'real' }) - confidence!: number; + textScore!: number; } diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index ce41b9500f..969becbe97 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -2,6 +2,7 @@ import { Injectable } from '@nestjs/common'; import { JOBS_ASSET_PAGINATION_SIZE } from 'src/constants'; import { OnJob } from 'src/decorators'; import { AssetVisibility, JobName, JobStatus, QueueName } from 'src/enum'; +import { OCR } from 'src/repositories/machine-learning.repository'; import { BaseService } from 'src/services/base.service'; import { JobItem, JobOf } from 'src/types'; import { isOcrEnabled } from 'src/utils/misc'; @@ -57,27 +58,34 @@ export class OcrService extends BaseService { machineLearning.ocr, ); - if (ocrResults.length > 0) { - const ocrDataList = ocrResults.map((result) => ({ - assetId: id, - x1: result.x1, - y1: result.y1, - x2: result.x2, - y2: result.y2, - x3: result.x3, - y3: result.y3, - x4: result.x4, - y4: result.y4, - text: result.text, - confidence: result.confidence, - })); - - await this.ocrRepository.upsert(id, ocrDataList); - } + await this.ocrRepository.upsert(id, this.parseOcrResults(id, ocrResults)); await this.assetRepository.upsertJobStatus({ assetId: id, ocrAt: new Date() }); - this.logger.debug(`Processed ${ocrResults.length} OCR result(s) for ${id}`); + this.logger.debug(`Processed ${ocrResults.text.length} OCR result(s) for ${id}`); return JobStatus.SUCCESS; } + + parseOcrResults(id: string, ocrResults: OCR) { + const ocrDataList = []; + for (let i = 0; i < ocrResults.text.length; i++) { + const boxOffset = i * 8; + const row = { + assetId: id, + text: ocrResults.text[i], + boxScore: ocrResults.boxScore[i], + textScore: ocrResults.textScore[i], + x1: ocrResults.box[boxOffset], + y1: ocrResults.box[boxOffset + 1], + x2: ocrResults.box[boxOffset + 2], + y2: ocrResults.box[boxOffset + 3], + x3: ocrResults.box[boxOffset + 4], + y3: ocrResults.box[boxOffset + 5], + x4: ocrResults.box[boxOffset + 6], + y4: ocrResults.box[boxOffset + 7], + }; + ocrDataList.push(row); + } + return ocrDataList; + } } From 786ae3fd3baf351e3698cc906b0357345b89df0c Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 16 Jun 2025 12:56:15 -0400 Subject: [PATCH 13/44] update web --- .../machine-learning-settings.svelte | 36 ++++++------------- .../search-bar/search-bar.svelte | 27 +++++--------- web/src/lib/modals/SearchFilterModal.svelte | 8 ++--- .../[[assetId=id]]/+page.svelte | 14 +++----- 4 files changed, 28 insertions(+), 57 deletions(-) diff --git a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte index 182dccae62..136d0b15d5 100644 --- a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte +++ b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte @@ -231,20 +231,6 @@ disabled={disabled || !config.machineLearning.enabled} /> - - - -
- - + + { const searchType = getSearchType(); - let payload: SmartSearchDto | MetadataSearchDto | OcrSearchDto = {} as - | SmartSearchDto - | MetadataSearchDto - | OcrSearchDto; + let payload = {} as SmartSearchDto | MetadataSearchDto; switch (searchType) { case 'smart': { @@ -126,7 +123,7 @@ break; } case 'ocr': { - payload = { ocr: value } as OcrSearchDto; + payload = { ocr: value } as MetadataSearchDto; break; } } @@ -178,20 +175,14 @@ onSubmit(); }; - function getSearchType(): 'smart' | 'metadata' | 'description' | 'ocr' { + function getSearchType() { const searchType = localStorage.getItem('searchQueryType'); switch (searchType) { - case 'smart': { - return 'smart'; - } - case 'metadata': { - return 'metadata'; - } - case 'description': { - return 'description'; - } + case 'smart': + case 'metadata': + case 'description': case 'ocr': { - return 'ocr'; + return searchType; } default: { return 'smart'; diff --git a/web/src/lib/modals/SearchFilterModal.svelte b/web/src/lib/modals/SearchFilterModal.svelte index 1cb729f26d..d97af613e2 100644 --- a/web/src/lib/modals/SearchFilterModal.svelte +++ b/web/src/lib/modals/SearchFilterModal.svelte @@ -34,15 +34,15 @@ import { preferences } from '$lib/stores/user.store'; import { parseUtcDate } from '$lib/utils/date-time'; import { generateId } from '$lib/utils/generate-id'; - import { AssetTypeEnum, AssetVisibility, type MetadataSearchDto, type OcrSearchDto, type SmartSearchDto } from '@immich/sdk'; + import { AssetTypeEnum, AssetVisibility, type MetadataSearchDto, type SmartSearchDto } from '@immich/sdk'; import { Button, HStack, Modal, ModalBody, ModalFooter } from '@immich/ui'; import { mdiTune } from '@mdi/js'; import { t } from 'svelte-i18n'; import { SvelteSet } from 'svelte/reactivity'; interface Props { - searchQuery: MetadataSearchDto | SmartSearchDto | OcrSearchDto; - onClose: (search?: SmartSearchDto | MetadataSearchDto | OcrSearchDto) => void; + searchQuery: MetadataSearchDto | SmartSearchDto; + onClose: (search?: SmartSearchDto | MetadataSearchDto) => void; } let { searchQuery, onClose }: Props = $props(); @@ -141,7 +141,7 @@ const query = filter.query || undefined; - let payload: SmartSearchDto | MetadataSearchDto | OcrSearchDto = { + let payload: SmartSearchDto | MetadataSearchDto = { query: filter.queryType === 'smart' ? query : undefined, ocr: filter.queryType === 'ocr' ? query : undefined, originalFileName: filter.queryType === 'metadata' ? query : undefined, diff --git a/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte b/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte index 6683f7a0f8..6d7b2a0352 100644 --- a/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte +++ b/web/src/routes/(user)/search/[[photos=photos]]/[[assetId=id]]/+page.svelte @@ -41,11 +41,9 @@ getPerson, getTagById, type MetadataSearchDto, - type OcrSearchDto, searchAssets, - searchOcr, searchSmart, - type SmartSearchDto, + type SmartSearchDto } from '@immich/sdk'; import { IconButton } from '@immich/ui'; import { mdiArrowLeft, mdiDotsVertical, mdiImageOffOutline, mdiPlus, mdiSelectAll } from '@mdi/js'; @@ -70,7 +68,7 @@ const assetInteraction = new AssetInteraction(); - type SearchTerms = MetadataSearchDto & Pick & Pick; + type SearchTerms = MetadataSearchDto & Pick; let searchQuery = $derived(page.url.searchParams.get(QueryParameter.QUERY)); let smartSearchEnabled = $derived($featureFlags.loaded && $featureFlags.smartSearch); let terms = $derived(searchQuery ? JSON.parse(searchQuery) : {}); @@ -166,11 +164,9 @@ try { const { albums, assets } = - ('ocr' in searchDto - ? await searchOcr({ ocrSearchDto: searchDto }) - : 'query' in searchDto || 'queryAssetId' in searchDto) && smartSearchEnabled - ? await searchSmart({ smartSearchDto: searchDto }) - : await searchAssets({ metadataSearchDto: searchDto }); + ('query' in searchDto || 'queryAssetId' in searchDto) && smartSearchEnabled + ? await searchSmart({ smartSearchDto: searchDto }) + : await searchAssets({ metadataSearchDto: searchDto }); searchResultAlbums.push(...albums.items); searchResultAssets.push(...assets.items.map((asset) => toTimelineAsset(asset))); From 1c53e6564105feb9e8860992c60dbb3e0bf25848 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 16 Jun 2025 13:15:39 -0400 Subject: [PATCH 14/44] update lock --- machine-learning/pyproject.toml | 1 - machine-learning/uv.lock | 354 -------------------------------- 2 files changed, 355 deletions(-) diff --git a/machine-learning/pyproject.toml b/machine-learning/pyproject.toml index 4e70163711..9136cc5f93 100644 --- a/machine-learning/pyproject.toml +++ b/machine-learning/pyproject.toml @@ -22,7 +22,6 @@ dependencies = [ "rich>=13.4.2", "tokenizers>=0.15.0,<1.0", "uvicorn[standard]>=0.22.0,<1.0", - 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server/src/services/ocr.service.ts | 14 +- server/src/utils/database.ts | 2 +- .../search-bar/search-bar.svelte | 2 +- 22 files changed, 177 insertions(+), 863 deletions(-) delete mode 100644 mobile/openapi/lib/model/ocr_search_dto.dart diff --git a/mobile/openapi/README.md b/mobile/openapi/README.md index e9f959d022..bca1b5219a 100644 --- a/mobile/openapi/README.md +++ b/mobile/openapi/README.md @@ -194,7 +194,6 @@ Class | Method | HTTP request | Description *SearchApi* | [**searchAssetStatistics**](doc//SearchApi.md#searchassetstatistics) | **POST** /search/statistics | *SearchApi* | [**searchAssets**](doc//SearchApi.md#searchassets) | **POST** /search/metadata | *SearchApi* | [**searchLargeAssets**](doc//SearchApi.md#searchlargeassets) | **POST** /search/large-assets | -*SearchApi* | [**searchOcr**](doc//SearchApi.md#searchocr) | **POST** /search/ocr | *SearchApi* | [**searchPerson**](doc//SearchApi.md#searchperson) | **GET** /search/person | *SearchApi* | [**searchPlaces**](doc//SearchApi.md#searchplaces) | **GET** /search/places | *SearchApi* | [**searchRandom**](doc//SearchApi.md#searchrandom) | **POST** /search/random | @@ -417,7 +416,6 @@ Class | Method | HTTP request | Description - [OAuthConfigDto](doc//OAuthConfigDto.md) - [OAuthTokenEndpointAuthMethod](doc//OAuthTokenEndpointAuthMethod.md) - [OcrConfig](doc//OcrConfig.md) - - [OcrSearchDto](doc//OcrSearchDto.md) - [OnThisDayDto](doc//OnThisDayDto.md) - [OnboardingDto](doc//OnboardingDto.md) - [OnboardingResponseDto](doc//OnboardingResponseDto.md) diff --git a/mobile/openapi/lib/api.dart b/mobile/openapi/lib/api.dart index 5af0fda839..b09e53f402 100644 --- a/mobile/openapi/lib/api.dart +++ b/mobile/openapi/lib/api.dart @@ -188,7 +188,6 @@ part 'model/o_auth_callback_dto.dart'; part 'model/o_auth_config_dto.dart'; part 'model/o_auth_token_endpoint_auth_method.dart'; part 'model/ocr_config.dart'; -part 'model/ocr_search_dto.dart'; part 'model/on_this_day_dto.dart'; part 'model/onboarding_dto.dart'; part 'model/onboarding_response_dto.dart'; diff --git a/mobile/openapi/lib/api/search_api.dart b/mobile/openapi/lib/api/search_api.dart index df0ad8d4c0..6a6c28a7e1 100644 --- a/mobile/openapi/lib/api/search_api.dart +++ b/mobile/openapi/lib/api/search_api.dart @@ -346,6 +346,8 @@ class SearchApi { /// /// * [String] model: /// + /// * [String] ocr: + /// /// * [List] personIds: /// /// * [num] rating: @@ -375,7 +377,7 @@ class SearchApi { /// * [bool] withDeleted: /// /// * [bool] withExif: - Future searchLargeAssetsWithHttpInfo({ List? albumIds, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceId, bool? isEncoded, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, String? lensModel, String? libraryId, String? make, int? minFileSize, String? model, List? personIds, num? rating, num? size, String? state, List? tagIds, DateTime? takenAfter, DateTime? takenBefore, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, AssetVisibility? visibility, bool? withDeleted, bool? withExif, }) async { + Future searchLargeAssetsWithHttpInfo({ List? albumIds, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceId, bool? isEncoded, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, String? lensModel, String? libraryId, String? make, int? minFileSize, String? model, String? ocr, List? personIds, num? rating, num? size, String? state, List? tagIds, DateTime? takenAfter, DateTime? takenBefore, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, AssetVisibility? visibility, bool? withDeleted, bool? withExif, }) async { // ignore: prefer_const_declarations final apiPath = r'/search/large-assets'; @@ -434,6 +436,9 @@ class SearchApi { if (model != null) { queryParams.addAll(_queryParams('', 'model', model)); } + if (ocr != null) { + queryParams.addAll(_queryParams('', 'ocr', ocr)); + } if (personIds != null) { queryParams.addAll(_queryParams('multi', 'personIds', personIds)); } @@ -530,6 +535,8 @@ class SearchApi { /// /// * [String] model: /// + /// * [String] ocr: + /// /// * [List] personIds: /// /// * [num] rating: @@ -559,8 +566,8 @@ class SearchApi { /// * [bool] withDeleted: /// /// * [bool] withExif: - Future?> searchLargeAssets({ List? albumIds, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceId, bool? isEncoded, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, String? lensModel, String? libraryId, String? make, int? minFileSize, String? model, List? personIds, num? rating, num? size, String? state, List? tagIds, DateTime? takenAfter, DateTime? takenBefore, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, AssetVisibility? visibility, bool? withDeleted, bool? withExif, }) async { - final response = await searchLargeAssetsWithHttpInfo( albumIds: albumIds, city: city, country: country, createdAfter: createdAfter, createdBefore: createdBefore, deviceId: deviceId, isEncoded: isEncoded, isFavorite: isFavorite, isMotion: isMotion, isNotInAlbum: isNotInAlbum, isOffline: isOffline, lensModel: lensModel, libraryId: libraryId, make: make, minFileSize: minFileSize, model: model, personIds: personIds, rating: rating, size: size, state: state, tagIds: tagIds, takenAfter: takenAfter, takenBefore: takenBefore, trashedAfter: trashedAfter, trashedBefore: trashedBefore, type: type, updatedAfter: updatedAfter, updatedBefore: updatedBefore, visibility: visibility, withDeleted: withDeleted, withExif: withExif, ); + Future?> searchLargeAssets({ List? albumIds, String? city, String? country, DateTime? createdAfter, DateTime? createdBefore, String? deviceId, bool? isEncoded, bool? isFavorite, bool? isMotion, bool? isNotInAlbum, bool? isOffline, String? lensModel, String? libraryId, String? make, int? minFileSize, String? model, String? ocr, List? personIds, num? rating, num? size, String? state, List? tagIds, DateTime? takenAfter, DateTime? takenBefore, DateTime? trashedAfter, DateTime? trashedBefore, AssetTypeEnum? type, DateTime? updatedAfter, DateTime? updatedBefore, AssetVisibility? visibility, bool? withDeleted, bool? withExif, }) async { + final response = await searchLargeAssetsWithHttpInfo( albumIds: albumIds, city: city, country: country, createdAfter: createdAfter, createdBefore: createdBefore, deviceId: deviceId, isEncoded: isEncoded, isFavorite: isFavorite, isMotion: isMotion, isNotInAlbum: isNotInAlbum, isOffline: isOffline, lensModel: lensModel, libraryId: libraryId, make: make, minFileSize: minFileSize, model: model, ocr: ocr, personIds: personIds, rating: rating, size: size, state: state, tagIds: tagIds, takenAfter: takenAfter, takenBefore: takenBefore, trashedAfter: trashedAfter, trashedBefore: trashedBefore, type: type, updatedAfter: updatedAfter, updatedBefore: updatedBefore, visibility: visibility, withDeleted: withDeleted, withExif: withExif, ); if (response.statusCode >= HttpStatus.badRequest) { throw ApiException(response.statusCode, await _decodeBodyBytes(response)); } @@ -577,53 +584,6 @@ class SearchApi { return null; } - /// Performs an HTTP 'POST /search/ocr' operation and returns the [Response]. - /// Parameters: - /// - /// * [OcrSearchDto] ocrSearchDto (required): - Future searchOcrWithHttpInfo(OcrSearchDto ocrSearchDto,) async { - // ignore: prefer_const_declarations - final apiPath = r'/search/ocr'; - - // ignore: prefer_final_locals - Object? postBody = ocrSearchDto; - - final queryParams = []; - final headerParams = {}; - final formParams = {}; - - const contentTypes = ['application/json']; - - - return apiClient.invokeAPI( - apiPath, - 'POST', - queryParams, - postBody, - headerParams, - formParams, - contentTypes.isEmpty ? null : contentTypes.first, - ); - } - - /// Parameters: - /// - /// * [OcrSearchDto] ocrSearchDto (required): - Future searchOcr(OcrSearchDto ocrSearchDto,) async { - final response = await searchOcrWithHttpInfo(ocrSearchDto,); - if (response.statusCode >= HttpStatus.badRequest) { - throw ApiException(response.statusCode, await _decodeBodyBytes(response)); - } - // When a remote server returns no body with a status of 204, we shall not decode it. - // At the time of writing this, `dart:convert` will throw an "Unexpected end of input" - // FormatException when trying to decode an empty string. - if (response.body.isNotEmpty && response.statusCode != HttpStatus.noContent) { - return await apiClient.deserializeAsync(await _decodeBodyBytes(response), 'SearchResponseDto',) as SearchResponseDto; - - } - return null; - } - /// This endpoint requires the `person.read` permission. /// /// Note: This method returns the HTTP [Response]. diff --git a/mobile/openapi/lib/api_client.dart b/mobile/openapi/lib/api_client.dart index ce56cfd4b4..5061f9a64e 100644 --- a/mobile/openapi/lib/api_client.dart +++ b/mobile/openapi/lib/api_client.dart @@ -430,8 +430,6 @@ class ApiClient { return OAuthTokenEndpointAuthMethodTypeTransformer().decode(value); case 'OcrConfig': return OcrConfig.fromJson(value); - case 'OcrSearchDto': - return OcrSearchDto.fromJson(value); case 'OnThisDayDto': return OnThisDayDto.fromJson(value); case 'OnboardingDto': diff --git a/mobile/openapi/lib/model/metadata_search_dto.dart b/mobile/openapi/lib/model/metadata_search_dto.dart index b7e637d4b4..7d8d2b1314 100644 --- a/mobile/openapi/lib/model/metadata_search_dto.dart +++ b/mobile/openapi/lib/model/metadata_search_dto.dart @@ -33,6 +33,7 @@ class MetadataSearchDto { this.libraryId, this.make, this.model, + this.ocr, this.order = AssetOrder.desc, this.originalFileName, this.originalPath, @@ -182,6 +183,14 @@ class MetadataSearchDto { String? model; + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + String? ocr; + AssetOrder order; /// @@ -369,6 +378,7 @@ class MetadataSearchDto { other.libraryId == libraryId && other.make == make && other.model == model && + other.ocr == ocr && other.order == order && other.originalFileName == originalFileName && other.originalPath == originalPath && @@ -416,6 +426,7 @@ class MetadataSearchDto { (libraryId == null ? 0 : libraryId!.hashCode) + (make == null ? 0 : make!.hashCode) + (model == null ? 0 : model!.hashCode) + + (ocr == null ? 0 : ocr!.hashCode) + (order.hashCode) + (originalFileName == null ? 0 : originalFileName!.hashCode) + (originalPath == null ? 0 : originalPath!.hashCode) + @@ -441,7 +452,7 @@ class MetadataSearchDto { (withStacked == null ? 0 : withStacked!.hashCode); @override - String toString() => 'MetadataSearchDto[albumIds=$albumIds, checksum=$checksum, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, description=$description, deviceAssetId=$deviceAssetId, deviceId=$deviceId, encodedVideoPath=$encodedVideoPath, id=$id, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, order=$order, originalFileName=$originalFileName, originalPath=$originalPath, page=$page, personIds=$personIds, previewPath=$previewPath, rating=$rating, size=$size, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, thumbnailPath=$thumbnailPath, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility, withDeleted=$withDeleted, withExif=$withExif, withPeople=$withPeople, withStacked=$withStacked]'; + String toString() => 'MetadataSearchDto[albumIds=$albumIds, checksum=$checksum, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, description=$description, deviceAssetId=$deviceAssetId, deviceId=$deviceId, encodedVideoPath=$encodedVideoPath, id=$id, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, ocr=$ocr, order=$order, originalFileName=$originalFileName, originalPath=$originalPath, page=$page, personIds=$personIds, previewPath=$previewPath, rating=$rating, size=$size, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, thumbnailPath=$thumbnailPath, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility, withDeleted=$withDeleted, withExif=$withExif, withPeople=$withPeople, withStacked=$withStacked]'; Map toJson() { final json = {}; @@ -540,6 +551,11 @@ class MetadataSearchDto { json[r'model'] = this.model; } else { // json[r'model'] = null; + } + if (this.ocr != null) { + json[r'ocr'] = this.ocr; + } else { + // json[r'ocr'] = null; } json[r'order'] = this.order; if (this.originalFileName != null) { @@ -682,6 +698,7 @@ class MetadataSearchDto { libraryId: mapValueOfType(json, r'libraryId'), make: mapValueOfType(json, r'make'), model: mapValueOfType(json, r'model'), + ocr: mapValueOfType(json, r'ocr'), order: AssetOrder.fromJson(json[r'order']) ?? AssetOrder.desc, originalFileName: mapValueOfType(json, r'originalFileName'), originalPath: mapValueOfType(json, r'originalPath'), diff --git a/mobile/openapi/lib/model/ocr_config.dart b/mobile/openapi/lib/model/ocr_config.dart index 0ea4d7697e..51746c4924 100644 --- a/mobile/openapi/lib/model/ocr_config.dart +++ b/mobile/openapi/lib/model/ocr_config.dart @@ -14,38 +14,53 @@ class OcrConfig { /// Returns a new [OcrConfig] instance. OcrConfig({ required this.enabled, - required this.minScore, + required this.maxResolution, + required this.minDetectionScore, + required this.minRecognitionScore, required this.modelName, }); bool enabled; + /// Minimum value: 1 + int maxResolution; + /// Minimum value: 0.1 /// Maximum value: 1 - double minScore; + double minDetectionScore; + + /// Minimum value: 0.1 + /// Maximum value: 1 + double minRecognitionScore; String modelName; @override bool operator ==(Object other) => identical(this, other) || other is OcrConfig && other.enabled == enabled && - other.minScore == minScore && + other.maxResolution == maxResolution && + other.minDetectionScore == minDetectionScore && + other.minRecognitionScore == minRecognitionScore && other.modelName == modelName; @override int get hashCode => // ignore: unnecessary_parenthesis (enabled.hashCode) + - (minScore.hashCode) + + (maxResolution.hashCode) + + (minDetectionScore.hashCode) + + (minRecognitionScore.hashCode) + (modelName.hashCode); @override - String toString() => 'OcrConfig[enabled=$enabled, minScore=$minScore, modelName=$modelName]'; + String toString() => 'OcrConfig[enabled=$enabled, maxResolution=$maxResolution, minDetectionScore=$minDetectionScore, minRecognitionScore=$minRecognitionScore, modelName=$modelName]'; Map toJson() { final json = {}; json[r'enabled'] = this.enabled; - json[r'minScore'] = this.minScore; + json[r'maxResolution'] = this.maxResolution; + json[r'minDetectionScore'] = this.minDetectionScore; + json[r'minRecognitionScore'] = this.minRecognitionScore; json[r'modelName'] = this.modelName; return json; } @@ -60,7 +75,9 @@ class OcrConfig { return OcrConfig( enabled: mapValueOfType(json, r'enabled')!, - minScore: (mapValueOfType(json, r'minScore')!).toDouble(), + maxResolution: mapValueOfType(json, r'maxResolution')!, + minDetectionScore: (mapValueOfType(json, r'minDetectionScore')!).toDouble(), + minRecognitionScore: (mapValueOfType(json, r'minRecognitionScore')!).toDouble(), modelName: mapValueOfType(json, r'modelName')!, ); } @@ -110,7 +127,9 @@ class OcrConfig { /// The list of required keys that must be present in a JSON. static const requiredKeys = { 'enabled', - 'minScore', + 'maxResolution', + 'minDetectionScore', + 'minRecognitionScore', 'modelName', }; } diff --git a/mobile/openapi/lib/model/ocr_search_dto.dart b/mobile/openapi/lib/model/ocr_search_dto.dart deleted file mode 100644 index a9a6983c35..0000000000 --- a/mobile/openapi/lib/model/ocr_search_dto.dart +++ /dev/null @@ -1,522 +0,0 @@ -// -// AUTO-GENERATED FILE, DO NOT MODIFY! -// -// @dart=2.18 - -// ignore_for_file: unused_element, unused_import -// ignore_for_file: always_put_required_named_parameters_first -// ignore_for_file: constant_identifier_names -// ignore_for_file: lines_longer_than_80_chars - -part of openapi.api; - -class OcrSearchDto { - /// Returns a new [OcrSearchDto] instance. - OcrSearchDto({ - this.albumIds = const [], - this.city, - this.country, - this.createdAfter, - this.createdBefore, - this.deviceId, - this.isEncoded, - this.isFavorite, - this.isMotion, - this.isNotInAlbum, - this.isOffline, - this.lensModel, - this.libraryId, - this.make, - this.model, - required this.ocr, - this.page, - this.personIds = const [], - this.rating, - this.state, - this.tagIds = const [], - this.takenAfter, - this.takenBefore, - this.trashedAfter, - this.trashedBefore, - this.type, - this.updatedAfter, - this.updatedBefore, - this.visibility, - }); - - List albumIds; - - String? city; - - String? country; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? createdAfter; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? createdBefore; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - String? deviceId; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - bool? isEncoded; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - bool? isFavorite; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - bool? isMotion; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - bool? isNotInAlbum; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - bool? isOffline; - - String? lensModel; - - String? libraryId; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - String? make; - - String? model; - - String ocr; - - /// Minimum value: 1 - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - num? page; - - List personIds; - - /// Minimum value: -1 - /// Maximum value: 5 - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - num? rating; - - String? state; - - List? tagIds; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? takenAfter; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? takenBefore; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? trashedAfter; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? trashedBefore; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - AssetTypeEnum? type; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? updatedAfter; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - DateTime? updatedBefore; - - /// - /// Please note: This property should have been non-nullable! Since the specification file - /// does not include a default value (using the "default:" property), however, the generated - /// source code must fall back to having a nullable type. - /// Consider adding a "default:" property in the specification file to hide this note. - /// - AssetVisibility? visibility; - - @override - bool operator ==(Object other) => identical(this, other) || other is OcrSearchDto && - _deepEquality.equals(other.albumIds, albumIds) && - other.city == city && - other.country == country && - other.createdAfter == createdAfter && - other.createdBefore == createdBefore && - other.deviceId == deviceId && - other.isEncoded == isEncoded && - other.isFavorite == isFavorite && - other.isMotion == isMotion && - other.isNotInAlbum == isNotInAlbum && - other.isOffline == isOffline && - other.lensModel == lensModel && - other.libraryId == libraryId && - other.make == make && - other.model == model && - other.ocr == ocr && - other.page == page && - _deepEquality.equals(other.personIds, personIds) && - other.rating == rating && - other.state == state && - _deepEquality.equals(other.tagIds, tagIds) && - other.takenAfter == takenAfter && - other.takenBefore == takenBefore && - other.trashedAfter == trashedAfter && - other.trashedBefore == trashedBefore && - other.type == type && - other.updatedAfter == updatedAfter && - other.updatedBefore == updatedBefore && - other.visibility == visibility; - - @override - int get hashCode => - // ignore: unnecessary_parenthesis - (albumIds.hashCode) + - (city == null ? 0 : city!.hashCode) + - (country == null ? 0 : country!.hashCode) + - (createdAfter == null ? 0 : createdAfter!.hashCode) + - (createdBefore == null ? 0 : createdBefore!.hashCode) + - (deviceId == null ? 0 : deviceId!.hashCode) + - (isEncoded == null ? 0 : isEncoded!.hashCode) + - (isFavorite == null ? 0 : isFavorite!.hashCode) + - (isMotion == null ? 0 : isMotion!.hashCode) + - (isNotInAlbum == null ? 0 : isNotInAlbum!.hashCode) + - (isOffline == null ? 0 : isOffline!.hashCode) + - (lensModel == null ? 0 : lensModel!.hashCode) + - (libraryId == null ? 0 : libraryId!.hashCode) + - (make == null ? 0 : make!.hashCode) + - (model == null ? 0 : model!.hashCode) + - (ocr.hashCode) + - (page == null ? 0 : page!.hashCode) + - (personIds.hashCode) + - (rating == null ? 0 : rating!.hashCode) + - (state == null ? 0 : state!.hashCode) + - (tagIds == null ? 0 : tagIds!.hashCode) + - (takenAfter == null ? 0 : takenAfter!.hashCode) + - (takenBefore == null ? 0 : takenBefore!.hashCode) + - (trashedAfter == null ? 0 : trashedAfter!.hashCode) + - (trashedBefore == null ? 0 : trashedBefore!.hashCode) + - (type == null ? 0 : type!.hashCode) + - (updatedAfter == null ? 0 : updatedAfter!.hashCode) + - (updatedBefore == null ? 0 : updatedBefore!.hashCode) + - (visibility == null ? 0 : visibility!.hashCode); - - @override - String toString() => 'OcrSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, ocr=$ocr, page=$page, personIds=$personIds, rating=$rating, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility]'; - - Map toJson() { - final json = {}; - json[r'albumIds'] = this.albumIds; - if (this.city != null) { - json[r'city'] = this.city; - } else { - // json[r'city'] = null; - } - if (this.country != null) { - json[r'country'] = this.country; - } else { - // json[r'country'] = null; - } - if (this.createdAfter != null) { - json[r'createdAfter'] = this.createdAfter!.toUtc().toIso8601String(); - } else { - // json[r'createdAfter'] = null; - } - if (this.createdBefore != null) { - json[r'createdBefore'] = this.createdBefore!.toUtc().toIso8601String(); - } else { - // json[r'createdBefore'] = null; - } - if (this.deviceId != null) { - json[r'deviceId'] = this.deviceId; - } else { - // json[r'deviceId'] = null; - } - if (this.isEncoded != null) { - json[r'isEncoded'] = this.isEncoded; - } else { - // json[r'isEncoded'] = null; - } - if (this.isFavorite != null) { - json[r'isFavorite'] = this.isFavorite; - } else { - // json[r'isFavorite'] = null; - } - if (this.isMotion != null) { - json[r'isMotion'] = this.isMotion; - } else { - // json[r'isMotion'] = null; - } - if (this.isNotInAlbum != null) { - json[r'isNotInAlbum'] = this.isNotInAlbum; - } else { - // json[r'isNotInAlbum'] = null; - } - if (this.isOffline != null) { - json[r'isOffline'] = this.isOffline; - } else { - // json[r'isOffline'] = null; - } - if (this.lensModel != null) { - json[r'lensModel'] = this.lensModel; - } else { - // json[r'lensModel'] = null; - } - if (this.libraryId != null) { - json[r'libraryId'] = this.libraryId; - } else { - // json[r'libraryId'] = null; - } - if (this.make != null) { - json[r'make'] = this.make; - } else { - // json[r'make'] = null; - } - if (this.model != null) { - json[r'model'] = this.model; - } else { - // json[r'model'] = null; - } - json[r'ocr'] = this.ocr; - if (this.page != null) { - json[r'page'] = this.page; - } else { - // json[r'page'] = null; - } - json[r'personIds'] = this.personIds; - if (this.rating != null) { - json[r'rating'] = this.rating; - } else { - // json[r'rating'] = null; - } - if (this.state != null) { - json[r'state'] = this.state; - } else { - // json[r'state'] = null; - } - if (this.tagIds != null) { - json[r'tagIds'] = this.tagIds; - } else { - // json[r'tagIds'] = null; - } - if (this.takenAfter != null) { - json[r'takenAfter'] = this.takenAfter!.toUtc().toIso8601String(); - } else { - // json[r'takenAfter'] = null; - } - if (this.takenBefore != null) { - json[r'takenBefore'] = this.takenBefore!.toUtc().toIso8601String(); - } else { - // json[r'takenBefore'] = null; - } - if (this.trashedAfter != null) { - json[r'trashedAfter'] = this.trashedAfter!.toUtc().toIso8601String(); - } else { - // json[r'trashedAfter'] = null; - } - if (this.trashedBefore != null) { - json[r'trashedBefore'] = this.trashedBefore!.toUtc().toIso8601String(); - } else { - // json[r'trashedBefore'] = null; - } - if (this.type != null) { - json[r'type'] = this.type; - } else { - // json[r'type'] = null; - } - if (this.updatedAfter != null) { - json[r'updatedAfter'] = this.updatedAfter!.toUtc().toIso8601String(); - } else { - // json[r'updatedAfter'] = null; - } - if (this.updatedBefore != null) { - json[r'updatedBefore'] = this.updatedBefore!.toUtc().toIso8601String(); - } else { - // json[r'updatedBefore'] = null; - } - if (this.visibility != null) { - json[r'visibility'] = this.visibility; - } else { - // json[r'visibility'] = null; - } - return json; - } - - /// Returns a new [OcrSearchDto] instance and imports its values from - /// [value] if it's a [Map], null otherwise. - // ignore: prefer_constructors_over_static_methods - static OcrSearchDto? fromJson(dynamic value) { - upgradeDto(value, "OcrSearchDto"); - if (value is Map) { - final json = value.cast(); - - return OcrSearchDto( - albumIds: json[r'albumIds'] is Iterable - ? (json[r'albumIds'] as Iterable).cast().toList(growable: false) - : const [], - city: mapValueOfType(json, r'city'), - country: mapValueOfType(json, r'country'), - createdAfter: mapDateTime(json, r'createdAfter', r''), - createdBefore: mapDateTime(json, r'createdBefore', r''), - deviceId: mapValueOfType(json, r'deviceId'), - isEncoded: mapValueOfType(json, r'isEncoded'), - isFavorite: mapValueOfType(json, r'isFavorite'), - isMotion: mapValueOfType(json, r'isMotion'), - isNotInAlbum: mapValueOfType(json, r'isNotInAlbum'), - isOffline: mapValueOfType(json, r'isOffline'), - lensModel: mapValueOfType(json, r'lensModel'), - libraryId: mapValueOfType(json, r'libraryId'), - make: mapValueOfType(json, r'make'), - model: mapValueOfType(json, r'model'), - ocr: mapValueOfType(json, r'ocr')!, - page: num.parse('${json[r'page']}'), - personIds: json[r'personIds'] is Iterable - ? (json[r'personIds'] as Iterable).cast().toList(growable: false) - : const [], - rating: num.parse('${json[r'rating']}'), - state: mapValueOfType(json, r'state'), - tagIds: json[r'tagIds'] is Iterable - ? (json[r'tagIds'] as Iterable).cast().toList(growable: false) - : const [], - takenAfter: mapDateTime(json, r'takenAfter', r''), - takenBefore: mapDateTime(json, r'takenBefore', r''), - trashedAfter: mapDateTime(json, r'trashedAfter', r''), - trashedBefore: mapDateTime(json, r'trashedBefore', r''), - type: AssetTypeEnum.fromJson(json[r'type']), - updatedAfter: mapDateTime(json, r'updatedAfter', r''), - updatedBefore: mapDateTime(json, r'updatedBefore', r''), - visibility: AssetVisibility.fromJson(json[r'visibility']), - ); - } - return null; - } - - static List listFromJson(dynamic json, {bool growable = false,}) { - final result = []; - if (json is List && json.isNotEmpty) { - for (final row in json) { - final value = OcrSearchDto.fromJson(row); - if (value != null) { - result.add(value); - } - } - } - return result.toList(growable: growable); - } - - static Map mapFromJson(dynamic json) { - final map = {}; - if (json is Map && json.isNotEmpty) { - json = json.cast(); // ignore: parameter_assignments - for (final entry in json.entries) { - final value = OcrSearchDto.fromJson(entry.value); - if (value != null) { - map[entry.key] = value; - } - } - } - return map; - } - - // maps a json object with a list of OcrSearchDto-objects as value to a dart map - static Map> mapListFromJson(dynamic json, {bool growable = false,}) { - final map = >{}; - if (json is Map && json.isNotEmpty) { - // ignore: parameter_assignments - json = json.cast(); - for (final entry in json.entries) { - map[entry.key] = OcrSearchDto.listFromJson(entry.value, growable: growable,); - } - } - return map; - } - - /// The list of required keys that must be present in a JSON. - static const requiredKeys = { - 'ocr', - }; -} - diff --git a/mobile/openapi/lib/model/random_search_dto.dart b/mobile/openapi/lib/model/random_search_dto.dart index 98cc715af4..96d670fd96 100644 --- a/mobile/openapi/lib/model/random_search_dto.dart +++ b/mobile/openapi/lib/model/random_search_dto.dart @@ -28,6 +28,7 @@ class RandomSearchDto { this.libraryId, this.make, this.model, + this.ocr, this.personIds = const [], this.rating, this.size, @@ -131,6 +132,14 @@ class RandomSearchDto { String? model; + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + String? ocr; + List personIds; /// Minimum value: -1 @@ -270,6 +279,7 @@ class RandomSearchDto { other.libraryId == libraryId && other.make == make && other.model == model && + other.ocr == ocr && _deepEquality.equals(other.personIds, personIds) && other.rating == rating && other.size == size && @@ -306,6 +316,7 @@ class RandomSearchDto { (libraryId == null ? 0 : libraryId!.hashCode) + (make == null ? 0 : make!.hashCode) + (model == null ? 0 : model!.hashCode) + + (ocr == null ? 0 : ocr!.hashCode) + (personIds.hashCode) + (rating == null ? 0 : rating!.hashCode) + (size == null ? 0 : size!.hashCode) + @@ -325,7 +336,7 @@ class RandomSearchDto { (withStacked == null ? 0 : withStacked!.hashCode); @override - String toString() => 'RandomSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, personIds=$personIds, rating=$rating, size=$size, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility, withDeleted=$withDeleted, withExif=$withExif, withPeople=$withPeople, withStacked=$withStacked]'; + String toString() => 'RandomSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, ocr=$ocr, personIds=$personIds, rating=$rating, size=$size, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility, withDeleted=$withDeleted, withExif=$withExif, withPeople=$withPeople, withStacked=$withStacked]'; Map toJson() { final json = {}; @@ -399,6 +410,11 @@ class RandomSearchDto { json[r'model'] = this.model; } else { // json[r'model'] = null; + } + if (this.ocr != null) { + json[r'ocr'] = this.ocr; + } else { + // json[r'ocr'] = null; } json[r'personIds'] = this.personIds; if (this.rating != null) { @@ -510,6 +526,7 @@ class RandomSearchDto { libraryId: mapValueOfType(json, r'libraryId'), make: mapValueOfType(json, r'make'), model: mapValueOfType(json, r'model'), + ocr: mapValueOfType(json, r'ocr'), personIds: json[r'personIds'] is Iterable ? (json[r'personIds'] as Iterable).cast().toList(growable: false) : const [], diff --git a/mobile/openapi/lib/model/smart_search_dto.dart b/mobile/openapi/lib/model/smart_search_dto.dart index 90902b9791..24f040a92b 100644 --- a/mobile/openapi/lib/model/smart_search_dto.dart +++ b/mobile/openapi/lib/model/smart_search_dto.dart @@ -29,6 +29,7 @@ class SmartSearchDto { this.libraryId, this.make, this.model, + this.ocr, this.page, this.personIds = const [], this.query, @@ -141,6 +142,14 @@ class SmartSearchDto { String? model; + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + String? ocr; + /// Minimum value: 1 /// /// Please note: This property should have been non-nullable! Since the specification file @@ -290,6 +299,7 @@ class SmartSearchDto { other.libraryId == libraryId && other.make == make && other.model == model && + other.ocr == ocr && other.page == page && _deepEquality.equals(other.personIds, personIds) && other.query == query && @@ -328,6 +338,7 @@ class SmartSearchDto { (libraryId == null ? 0 : libraryId!.hashCode) + (make == null ? 0 : make!.hashCode) + (model == null ? 0 : model!.hashCode) + + (ocr == null ? 0 : ocr!.hashCode) + (page == null ? 0 : page!.hashCode) + (personIds.hashCode) + (query == null ? 0 : query!.hashCode) + @@ -348,7 +359,7 @@ class SmartSearchDto { (withExif == null ? 0 : withExif!.hashCode); @override - String toString() => 'SmartSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, language=$language, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, page=$page, personIds=$personIds, query=$query, queryAssetId=$queryAssetId, rating=$rating, size=$size, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility, withDeleted=$withDeleted, withExif=$withExif]'; + String toString() => 'SmartSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, language=$language, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, ocr=$ocr, page=$page, personIds=$personIds, query=$query, queryAssetId=$queryAssetId, rating=$rating, size=$size, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility, withDeleted=$withDeleted, withExif=$withExif]'; Map toJson() { final json = {}; @@ -428,6 +439,11 @@ class SmartSearchDto { } else { // json[r'model'] = null; } + if (this.ocr != null) { + json[r'ocr'] = this.ocr; + } else { + // json[r'ocr'] = null; + } if (this.page != null) { json[r'page'] = this.page; } else { @@ -544,6 +560,7 @@ class SmartSearchDto { libraryId: mapValueOfType(json, r'libraryId'), make: mapValueOfType(json, r'make'), model: mapValueOfType(json, r'model'), + ocr: mapValueOfType(json, r'ocr'), page: num.parse('${json[r'page']}'), personIds: json[r'personIds'] is Iterable ? (json[r'personIds'] as Iterable).cast().toList(growable: false) diff --git a/mobile/openapi/lib/model/statistics_search_dto.dart b/mobile/openapi/lib/model/statistics_search_dto.dart index 73d80c9e36..e0965352e0 100644 --- a/mobile/openapi/lib/model/statistics_search_dto.dart +++ b/mobile/openapi/lib/model/statistics_search_dto.dart @@ -29,6 +29,7 @@ class StatisticsSearchDto { this.libraryId, this.make, this.model, + this.ocr, this.personIds = const [], this.rating, this.state, @@ -135,6 +136,14 @@ class StatisticsSearchDto { String? model; + /// + /// Please note: This property should have been non-nullable! Since the specification file + /// does not include a default value (using the "default:" property), however, the generated + /// source code must fall back to having a nullable type. + /// Consider adding a "default:" property in the specification file to hide this note. + /// + String? ocr; + List personIds; /// Minimum value: -1 @@ -233,6 +242,7 @@ class StatisticsSearchDto { other.libraryId == libraryId && other.make == make && other.model == model && + other.ocr == ocr && _deepEquality.equals(other.personIds, personIds) && other.rating == rating && other.state == state && @@ -265,6 +275,7 @@ class StatisticsSearchDto { (libraryId == null ? 0 : libraryId!.hashCode) + (make == null ? 0 : make!.hashCode) + (model == null ? 0 : model!.hashCode) + + (ocr == null ? 0 : ocr!.hashCode) + (personIds.hashCode) + (rating == null ? 0 : rating!.hashCode) + (state == null ? 0 : state!.hashCode) + @@ -279,7 +290,7 @@ class StatisticsSearchDto { (visibility == null ? 0 : visibility!.hashCode); @override - String toString() => 'StatisticsSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, description=$description, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, personIds=$personIds, rating=$rating, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility]'; + String toString() => 'StatisticsSearchDto[albumIds=$albumIds, city=$city, country=$country, createdAfter=$createdAfter, createdBefore=$createdBefore, description=$description, deviceId=$deviceId, isEncoded=$isEncoded, isFavorite=$isFavorite, isMotion=$isMotion, isNotInAlbum=$isNotInAlbum, isOffline=$isOffline, lensModel=$lensModel, libraryId=$libraryId, make=$make, model=$model, ocr=$ocr, personIds=$personIds, rating=$rating, state=$state, tagIds=$tagIds, takenAfter=$takenAfter, takenBefore=$takenBefore, trashedAfter=$trashedAfter, trashedBefore=$trashedBefore, type=$type, updatedAfter=$updatedAfter, updatedBefore=$updatedBefore, visibility=$visibility]'; Map toJson() { final json = {}; @@ -358,6 +369,11 @@ class StatisticsSearchDto { json[r'model'] = this.model; } else { // json[r'model'] = null; + } + if (this.ocr != null) { + json[r'ocr'] = this.ocr; + } else { + // json[r'ocr'] = null; } json[r'personIds'] = this.personIds; if (this.rating != null) { @@ -445,6 +461,7 @@ class StatisticsSearchDto { libraryId: mapValueOfType(json, r'libraryId'), make: mapValueOfType(json, r'make'), model: mapValueOfType(json, r'model'), + ocr: mapValueOfType(json, r'ocr'), personIds: json[r'personIds'] is Iterable ? (json[r'personIds'] as Iterable).cast().toList(growable: false) : const [], diff --git a/open-api/immich-openapi-specs.json b/open-api/immich-openapi-specs.json index 28125efdb3..7aac2025b0 100644 --- a/open-api/immich-openapi-specs.json +++ b/open-api/immich-openapi-specs.json @@ -5933,6 +5933,14 @@ "type": "string" } }, + { + "name": "ocr", + "required": false, + "in": "query", + "schema": { + "type": "string" + } + }, { "name": "personIds", "required": false, @@ -6151,48 +6159,6 @@ "description": "This endpoint requires the `asset.read` permission." } }, - "/search/ocr": { - "post": { - "operationId": "searchOcr", - "parameters": [], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/OcrSearchDto" - } - } - }, - "required": true - }, - "responses": { - "200": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SearchResponseDto" - } - } - }, - "description": "" - } - }, - "security": [ - { - "bearer": [] - }, - { - "cookie": [] - }, - { - "api_key": [] - } - ], - "tags": [ - "Search" - ] - } - }, "/search/person": { "get": { "operationId": "searchPerson", @@ -12604,6 +12570,9 @@ "nullable": true, "type": "string" }, + "ocr": { + "type": "string" + }, "order": { "allOf": [ { @@ -12918,176 +12887,32 @@ "enabled": { "type": "boolean" }, - "minDetectionBoxScore": { - "format": "double", - "maximum": 1, - "minimum": 0, - "type": "number" + "maxResolution": { + "minimum": 1, + "type": "integer" }, "minDetectionScore": { "format": "double", "maximum": 1, - "minimum": 0, + "minimum": 0.1, "type": "number" }, "minRecognitionScore": { "format": "double", "maximum": 1, - "minimum": 0, + "minimum": 0.1, "type": "number" }, "modelName": { "type": "string" - }, - "orientationClassifyEnabled": { - "type": "boolean" - }, - "unwarpingEnabled": { - "type": "boolean" } }, "required": [ "enabled", - "minDetectionBoxScore", + "maxResolution", "minDetectionScore", "minRecognitionScore", - "modelName", - "orientationClassifyEnabled", - "unwarpingEnabled" - ], - "type": "object" - }, - "OcrSearchDto": { - "properties": { - "albumIds": { - "items": { - "format": "uuid", - "type": "string" - }, - "type": "array" - }, - "city": { - "nullable": true, - "type": "string" - }, - "country": { - "nullable": true, - "type": "string" - }, - "createdAfter": { - "format": "date-time", - "type": "string" - }, - "createdBefore": { - "format": "date-time", - "type": "string" - }, - "deviceId": { - "type": "string" - }, - "isEncoded": { - "type": "boolean" - }, - "isFavorite": { - "type": "boolean" - }, - "isMotion": { - "type": "boolean" - }, - "isNotInAlbum": { - "type": "boolean" - }, - "isOffline": { - "type": "boolean" - }, - "lensModel": { - "nullable": true, - "type": "string" - }, - "libraryId": { - "format": "uuid", - "nullable": true, - "type": "string" - }, - "make": { - "type": "string" - }, - "model": { - "nullable": true, - "type": "string" - }, - "ocr": { - "type": "string" - }, - "page": { - "minimum": 1, - "type": "number" - }, - "personIds": { - "items": { - "format": "uuid", - "type": "string" - }, - "type": "array" - }, - "rating": { - "maximum": 5, - "minimum": -1, - "type": "number" - }, - "state": { - "nullable": true, - "type": "string" - }, - "tagIds": { - "items": { - "format": "uuid", - "type": "string" - }, - "nullable": true, - "type": "array" - }, - "takenAfter": { - "format": "date-time", - "type": "string" - }, - "takenBefore": { - "format": "date-time", - "type": "string" - }, - "trashedAfter": { - "format": "date-time", - "type": "string" - }, - "trashedBefore": { - "format": "date-time", - "type": "string" - }, - "type": { - "allOf": [ - { - "$ref": "#/components/schemas/AssetTypeEnum" - } - ] - }, - "updatedAfter": { - "format": "date-time", - "type": "string" - }, - "updatedBefore": { - "format": "date-time", - "type": "string" - }, - "visibility": { - "allOf": [ - { - "$ref": "#/components/schemas/AssetVisibility" - } - ] - } - }, - "required": [ - "ocr" + "modelName" ], "type": "object" }, @@ -13760,6 +13585,9 @@ "nullable": true, "type": "string" }, + "ocr": { + "type": "string" + }, "personIds": { "items": { "format": "uuid", @@ -14856,6 +14684,9 @@ "nullable": true, "type": "string" }, + "ocr": { + "type": "string" + }, "page": { "minimum": 1, "type": "number" @@ -15061,6 +14892,9 @@ "nullable": true, "type": "string" }, + "ocr": { + "type": "string" + }, "personIds": { "items": { "format": "uuid", diff --git a/open-api/typescript-sdk/src/fetch-client.ts b/open-api/typescript-sdk/src/fetch-client.ts index 35b889cc4d..c50efb7d38 100644 --- a/open-api/typescript-sdk/src/fetch-client.ts +++ b/open-api/typescript-sdk/src/fetch-client.ts @@ -909,6 +909,7 @@ export type MetadataSearchDto = { libraryId?: string | null; make?: string; model?: string | null; + ocr?: string; order?: AssetOrder; originalFileName?: string; originalPath?: string; @@ -958,37 +959,6 @@ export type SearchResponseDto = { albums: SearchAlbumResponseDto; assets: SearchAssetResponseDto; }; -export type OcrSearchDto = { - albumIds?: string[]; - city?: string | null; - country?: string | null; - createdAfter?: string; - createdBefore?: string; - deviceId?: string; - isEncoded?: boolean; - isFavorite?: boolean; - isMotion?: boolean; - isNotInAlbum?: boolean; - isOffline?: boolean; - lensModel?: string | null; - libraryId?: string | null; - make?: string; - model?: string | null; - ocr: string; - page?: number; - personIds?: string[]; - rating?: number; - state?: string | null; - tagIds?: string[] | null; - takenAfter?: string; - takenBefore?: string; - trashedAfter?: string; - trashedBefore?: string; - "type"?: AssetTypeEnum; - updatedAfter?: string; - updatedBefore?: string; - visibility?: AssetVisibility; -}; export type PlacesResponseDto = { admin1name?: string; admin2name?: string; @@ -1012,6 +982,7 @@ export type RandomSearchDto = { libraryId?: string | null; make?: string; model?: string | null; + ocr?: string; personIds?: string[]; rating?: number; size?: number; @@ -1047,6 +1018,7 @@ export type SmartSearchDto = { libraryId?: string | null; make?: string; model?: string | null; + ocr?: string; page?: number; personIds?: string[]; query?: string; @@ -1083,6 +1055,7 @@ export type StatisticsSearchDto = { libraryId?: string | null; make?: string; model?: string | null; + ocr?: string; personIds?: string[]; rating?: number; state?: string | null; @@ -1434,7 +1407,9 @@ export type FacialRecognitionConfig = { }; export type OcrConfig = { enabled: boolean; - minScore: number; + maxResolution: number; + minDetectionScore: number; + minRecognitionScore: number; modelName: string; }; export type SystemConfigMachineLearningDto = { @@ -3409,7 +3384,7 @@ export function getExploreData(opts?: Oazapfts.RequestOpts) { /** * This endpoint requires the `asset.read` permission. */ -export function searchLargeAssets({ albumIds, city, country, createdAfter, createdBefore, deviceId, isEncoded, isFavorite, isMotion, isNotInAlbum, isOffline, lensModel, libraryId, make, minFileSize, model, personIds, rating, size, state, tagIds, takenAfter, takenBefore, trashedAfter, trashedBefore, $type, updatedAfter, updatedBefore, visibility, withDeleted, withExif }: { +export function searchLargeAssets({ albumIds, city, country, createdAfter, createdBefore, deviceId, isEncoded, isFavorite, isMotion, isNotInAlbum, isOffline, lensModel, libraryId, make, minFileSize, model, ocr, personIds, rating, size, state, tagIds, takenAfter, takenBefore, trashedAfter, trashedBefore, $type, updatedAfter, updatedBefore, visibility, withDeleted, withExif }: { albumIds?: string[]; city?: string | null; country?: string | null; @@ -3426,6 +3401,7 @@ export function searchLargeAssets({ albumIds, city, country, createdAfter, creat make?: string; minFileSize?: number; model?: string | null; + ocr?: string; personIds?: string[]; rating?: number; size?: number; @@ -3462,6 +3438,7 @@ export function searchLargeAssets({ albumIds, city, country, createdAfter, creat make, minFileSize, model, + ocr, personIds, rating, size, @@ -3497,18 +3474,6 @@ export function searchAssets({ metadataSearchDto }: { body: metadataSearchDto }))); } -export function searchOcr({ ocrSearchDto }: { - ocrSearchDto: OcrSearchDto; -}, opts?: Oazapfts.RequestOpts) { - return oazapfts.ok(oazapfts.fetchJson<{ - status: 200; - data: SearchResponseDto; - }>("/search/ocr", oazapfts.json({ - ...opts, - method: "POST", - body: ocrSearchDto - }))); -} /** * This endpoint requires the `person.read` permission. */ diff --git a/server/src/config.ts b/server/src/config.ts index 64cd968db1..38d6634727 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -253,8 +253,8 @@ export const defaults = Object.freeze({ ocr: { enabled: true, modelName: 'PP-OCRv5_server', - minDetectionScore: 0.3, - minRecognitionScore: 0.0, + minDetectionScore: 0.5, + minRecognitionScore: 0.5, maxResolution: 1440, }, }, diff --git a/server/src/dtos/search.dto.ts b/server/src/dtos/search.dto.ts index 8eca3bdbe1..21265516c6 100644 --- a/server/src/dtos/search.dto.ts +++ b/server/src/dtos/search.dto.ts @@ -101,6 +101,11 @@ class BaseSearchDto { @Max(5) @Min(-1) rating?: number; + + @IsString() + @IsNotEmpty() + @Optional() + ocr?: string; } class BaseSearchWithResultsDto extends BaseSearchDto { @@ -218,18 +223,6 @@ export class SmartSearchDto extends BaseSearchWithResultsDto { page?: number; } -export class OcrSearchDto extends BaseSearchDto { - @IsString() - @IsNotEmpty() - ocr!: string; - - @IsInt() - @Min(1) - @Type(() => Number) - @Optional() - page?: number; -} - export class SearchPlacesDto { @IsString() @IsNotEmpty() diff --git a/server/src/repositories/asset-job.repository.ts b/server/src/repositories/asset-job.repository.ts index 18827aeb07..d421d88c52 100644 --- a/server/src/repositories/asset-job.repository.ts +++ b/server/src/repositories/asset-job.repository.ts @@ -196,9 +196,9 @@ export class AssetJobRepository { @GenerateSql({ params: [DummyValue.UUID] }) getForOcr(id: string) { return this.db - .selectFrom('assets') - .select((eb) => ['assets.visibility', withFile(eb, AssetFileType.PREVIEW).as('previewFile')]) - .where('assets.id', '=', id) + .selectFrom('asset') + .select((eb) => ['asset.visibility', withFile(eb, AssetFileType.Preview).as('previewFile')]) + .where('asset.id', '=', id) .executeTakeFirst(); } @@ -361,15 +361,15 @@ export class AssetJobRepository { @GenerateSql({ params: [], stream: true }) streamForOcrJob(force?: boolean) { return this.db - .selectFrom('assets') - .select(['assets.id']) + .selectFrom('asset') + .select(['asset.id']) .$if(!force, (qb) => qb - .innerJoin('asset_job_status', 'asset_job_status.assetId', 'assets.id') + .innerJoin('asset_job_status', 'asset_job_status.assetId', 'asset.id') .where('asset_job_status.ocrAt', 'is', null), ) - .where('assets.deletedAt', 'is', null) - .where('assets.visibility', '!=', AssetVisibility.HIDDEN) + .where('asset.deletedAt', 'is', null) + .where('asset.visibility', '!=', AssetVisibility.Hidden) .stream(); } diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index 01463a7fb3..d858af6c3b 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -1,8 +1,9 @@ import { Injectable } from '@nestjs/common'; import { Insertable, Kysely, sql } from 'kysely'; import { InjectKysely } from 'nestjs-kysely'; -import { AssetOcr, DB } from 'src/db'; import { DummyValue, GenerateSql } from 'src/decorators'; +import { DB } from 'src/schema'; +import { AssetOcrTable } from 'src/schema/tables/asset-ocr.table'; @Injectable() export class OcrRepository { @@ -46,7 +47,7 @@ export class OcrRepository { ], ], }) - upsert(assetId: string, ocrDataList: Insertable[]) { + upsert(assetId: string, ocrDataList: Insertable[]) { let query = this.db.with('deleted_ocr', (db) => db.deleteFrom('asset_ocr').where('assetId', '=', assetId)); if (ocrDataList.length > 0) { const searchText = ocrDataList.map((item) => item.text.trim()).join(' '); diff --git a/server/src/schema/index.ts b/server/src/schema/index.ts index 337a18e1b7..7f4bdbeed3 100644 --- a/server/src/schema/index.ts +++ b/server/src/schema/index.ts @@ -178,6 +178,8 @@ export interface DB { asset_metadata: AssetMetadataTable; asset_metadata_audit: AssetMetadataAuditTable; asset_job_status: AssetJobStatusTable; + asset_ocr: AssetOcrTable; + ocr_search: OcrSearchTable; audit: AuditTable; diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index b29136ccd7..df2a3da866 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -1,10 +1,10 @@ import { AssetTable } from 'src/schema/tables/asset.table'; -import { Column, ForeignKeyColumn, PrimaryGeneratedColumn, Table } from 'src/sql-tools'; +import { Column, ForeignKeyColumn, Generated, PrimaryGeneratedColumn, Table } from 'src/sql-tools'; @Table('asset_ocr') export class AssetOcrTable { @PrimaryGeneratedColumn() - id!: string; + id!: Generated; @ForeignKeyColumn(() => AssetTable, { onDelete: 'CASCADE', onUpdate: 'CASCADE' }) assetId!: string; diff --git a/server/src/services/job.service.ts b/server/src/services/job.service.ts index 47251b527a..81a14f41a8 100644 --- a/server/src/services/job.service.ts +++ b/server/src/services/job.service.ts @@ -308,7 +308,6 @@ export class JobService extends BaseService { if (config.nightlyTasks.clusterNewFaces) { jobs.push({ name: JobName.FacialRecognitionQueueAll, data: { force: false, nightly: true } }); - { name: JobName.QUEUE_OCR, data: { force: false, nightly: true } }, } await this.jobRepository.queueAll(jobs); diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index 969becbe97..b8a41b4e6c 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -13,7 +13,7 @@ export class OcrService extends BaseService { async handleQueueOcr({ force, nightly }: JobOf): Promise { const { machineLearning } = await this.getConfig({ withCache: false }); if (!isOcrEnabled(machineLearning)) { - return JobStatus.SKIPPED; + return JobStatus.Skipped; } if (force) { @@ -33,23 +33,23 @@ export class OcrService extends BaseService { } await this.jobRepository.queueAll(jobs); - return JobStatus.SUCCESS; + return JobStatus.Success; } @OnJob({ name: JobName.OCR, queue: QueueName.OCR }) async handleOcr({ id }: JobOf): Promise { const { machineLearning } = await this.getConfig({ withCache: true }); if (!isOcrEnabled(machineLearning)) { - return JobStatus.SKIPPED; + return JobStatus.Skipped; } const asset = await this.assetJobRepository.getForOcr(id); if (!asset || !asset.previewFile) { - return JobStatus.FAILED; + return JobStatus.Failed; } - if (asset.visibility === AssetVisibility.HIDDEN) { - return JobStatus.SKIPPED; + if (asset.visibility === AssetVisibility.Hidden) { + return JobStatus.Skipped; } const ocrResults = await this.machineLearningRepository.ocr( @@ -63,7 +63,7 @@ export class OcrService extends BaseService { await this.assetRepository.upsertJobStatus({ assetId: id, ocrAt: new Date() }); this.logger.debug(`Processed ${ocrResults.text.length} OCR result(s) for ${id}`); - return JobStatus.SUCCESS; + return JobStatus.Success; } parseOcrResults(id: string, ocrResults: OCR) { diff --git a/server/src/utils/database.ts b/server/src/utils/database.ts index 36ad2a7003..af94cdef2e 100644 --- a/server/src/utils/database.ts +++ b/server/src/utils/database.ts @@ -390,7 +390,7 @@ export function searchAssetBuilder(kysely: Kysely, options: AssetSearchBuild ) .$if(!!options.ocr, (qb) => qb - .innerJoin('ocr_search', 'assets.id', 'ocr_search.assetId') + .innerJoin('ocr_search', 'asset.id', 'ocr_search.assetId') .where(() => sql`f_unaccent(ocr_search.text) %>> f_unaccent(${options.ocr!})`), ) .$if(!!options.type, (qb) => qb.where('asset.type', '=', options.type!)) diff --git a/web/src/lib/components/shared-components/search-bar/search-bar.svelte b/web/src/lib/components/shared-components/search-bar/search-bar.svelte index 82ae315e62..c1b3da70e8 100644 --- a/web/src/lib/components/shared-components/search-bar/search-bar.svelte +++ b/web/src/lib/components/shared-components/search-bar/search-bar.svelte @@ -39,7 +39,7 @@ searchStore.isSearchEnabled = false; }); - const handleSearch = async (payload: SmartSearchDto | MetadataSearchDto | OcrSearchDto) => { + const handleSearch = async (payload: SmartSearchDto | MetadataSearchDto) => { const params = getMetadataSearchQuery(payload); closeDropdown(); From 5e7fab80aa8b7b2b8ef944ef22066b3e3fc571c6 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 16 Jun 2025 14:13:57 -0400 Subject: [PATCH 16/44] store positions as normalized floats --- .../immich_ml/models/ocr/detection.py | 1 - .../src/repositories/asset-job.repository.ts | 4 +-- .../1750091086107-CreateAssetOCRTable.ts | 2 +- server/src/schema/tables/asset-ocr.table.ts | 17 +++++----- server/src/services/ocr.service.ts | 31 +++++++++---------- server/src/utils/database.ts | 4 +-- 6 files changed, 29 insertions(+), 30 deletions(-) diff --git a/machine-learning/immich_ml/models/ocr/detection.py b/machine-learning/immich_ml/models/ocr/detection.py index 2b80cea9fd..dbe14b77e4 100644 --- a/machine-learning/immich_ml/models/ocr/detection.py +++ b/machine-learning/immich_ml/models/ocr/detection.py @@ -71,7 +71,6 @@ class TextDetector(InferenceModel): results = self.model(decode_cv2(inputs)) if results.boxes is None or results.scores is None or results.img is None: return self._empty - log.info(f"{results.boxes=}, {results.scores=}") return { "resized": results.img, "boxes": np.array(results.boxes, dtype=np.float32), diff --git a/server/src/repositories/asset-job.repository.ts b/server/src/repositories/asset-job.repository.ts index d421d88c52..6094708d1b 100644 --- a/server/src/repositories/asset-job.repository.ts +++ b/server/src/repositories/asset-job.repository.ts @@ -16,7 +16,7 @@ import { withExifInner, withFaces, withFacesAndPeople, - withFile, + withFilePath, withFiles, } from 'src/utils/database'; @@ -197,7 +197,7 @@ export class AssetJobRepository { getForOcr(id: string) { return this.db .selectFrom('asset') - .select((eb) => ['asset.visibility', withFile(eb, AssetFileType.Preview).as('previewFile')]) + .select((eb) => ['asset.visibility', withFilePath(eb, AssetFileType.Preview).as('previewFile')]) .where('asset.id', '=', id) .executeTakeFirst(); } diff --git a/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts b/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts index b3ff4aa3f0..fe17883d3a 100644 --- a/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts @@ -1,7 +1,7 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT immich_uuid_v7(), "assetId" uuid NOT NULL, "x1" integer NOT NULL, "y1" integer NOT NULL, "x2" integer NOT NULL, "y2" integer NOT NULL, "x3" integer NOT NULL, "y3" integer NOT NULL, "x4" integer NOT NULL, "y4" integer NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT immich_uuid_v7(), "assetId" uuid NOT NULL, "x1" real NOT NULL, "y1" real NOT NULL, "x2" real NOT NULL, "y2" real NOT NULL, "x3" real NOT NULL, "y3" real NOT NULL, "x4" real NOT NULL, "y4" real NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( db, ); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index df2a3da866..bdb4fd5de8 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -12,28 +12,29 @@ export class AssetOcrTable { @Column({ type: 'text' }) text!: string; - @Column({ type: 'integer' }) + // box positions are normalized, with values between 0 and 1 + @Column({ type: 'real' }) x1!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) y1!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) x2!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) y2!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) x3!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) y3!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) x4!: number; - @Column({ type: 'integer' }) + @Column({ type: 'real' }) y4!: number; @Column({ type: 'real' }) diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index b8a41b4e6c..86a86fd88f 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -66,25 +66,24 @@ export class OcrService extends BaseService { return JobStatus.Success; } - parseOcrResults(id: string, ocrResults: OCR) { + parseOcrResults(id: string, { box, boxScore, text, textScore }: OCR) { const ocrDataList = []; - for (let i = 0; i < ocrResults.text.length; i++) { + for (let i = 0; i < text.length; i++) { const boxOffset = i * 8; - const row = { + ocrDataList.push({ assetId: id, - text: ocrResults.text[i], - boxScore: ocrResults.boxScore[i], - textScore: ocrResults.textScore[i], - x1: ocrResults.box[boxOffset], - y1: ocrResults.box[boxOffset + 1], - x2: ocrResults.box[boxOffset + 2], - y2: ocrResults.box[boxOffset + 3], - x3: ocrResults.box[boxOffset + 4], - y3: ocrResults.box[boxOffset + 5], - x4: ocrResults.box[boxOffset + 6], - y4: ocrResults.box[boxOffset + 7], - }; - ocrDataList.push(row); + x1: box[boxOffset], + y1: box[boxOffset + 1], + x2: box[boxOffset + 2], + y2: box[boxOffset + 3], + x3: box[boxOffset + 4], + y3: box[boxOffset + 5], + x4: box[boxOffset + 6], + y4: box[boxOffset + 7], + boxScore: boxScore[i], + textScore: textScore[i], + text: text[i], + }); } return ocrDataList; } diff --git a/server/src/utils/database.ts b/server/src/utils/database.ts index af94cdef2e..8c05543eaa 100644 --- a/server/src/utils/database.ts +++ b/server/src/utils/database.ts @@ -200,10 +200,10 @@ export function withFiles(eb: ExpressionBuilder, type?: AssetFileTy ).as('files'); } -export function withFile(eb: ExpressionBuilder, type: AssetFileType) { +export function withFilePath(eb: ExpressionBuilder, type: AssetFileType) { return eb .selectFrom('asset_file') - .select(columns.assetFiles) + .select('asset_file.path') .whereRef('asset_file.assetId', '=', 'asset.id') .where('asset_file.type', '=', type); } From fea41c61ee2846d05ce81f60e2df0e4e5c116533 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 16 Jun 2025 14:18:52 -0400 Subject: [PATCH 17/44] match column order in db --- server/src/schema/tables/asset-ocr.table.ts | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/server/src/schema/tables/asset-ocr.table.ts b/server/src/schema/tables/asset-ocr.table.ts index bdb4fd5de8..6ab159b531 100644 --- a/server/src/schema/tables/asset-ocr.table.ts +++ b/server/src/schema/tables/asset-ocr.table.ts @@ -9,9 +9,6 @@ export class AssetOcrTable { @ForeignKeyColumn(() => AssetTable, { onDelete: 'CASCADE', onUpdate: 'CASCADE' }) assetId!: string; - @Column({ type: 'text' }) - text!: string; - // box positions are normalized, with values between 0 and 1 @Column({ type: 'real' }) x1!: number; @@ -42,4 +39,7 @@ export class AssetOcrTable { @Column({ type: 'real' }) textScore!: number; + + @Column({ type: 'text' }) + text!: string; } From 22690fa096bf826827934128def393948e03119a Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 16 Jun 2025 14:47:15 -0400 Subject: [PATCH 18/44] update admin ui settings descriptions fix max resolution key set min threshold to 0.1 fix bind --- i18n/en.json | 16 ++++++---------- i18n/zh_SIMPLIFIED.json | 9 --------- .../machine-learning-settings.svelte | 8 ++++---- 3 files changed, 10 insertions(+), 23 deletions(-) diff --git a/i18n/en.json b/i18n/en.json index f6dd1ed27f..9aa33d377d 100644 --- a/i18n/en.json +++ b/i18n/en.json @@ -148,19 +148,15 @@ "machine_learning_ocr": "OCR", "machine_learning_ocr_description": "Use machine learning to recognize text in images", "machine_learning_ocr_enabled": "Enable OCR", - "machine_learning_ocr_enabled_description": "If disabled, images will not be encoded for text recognition.", - "machine_learning_ocr_min_detection_box_score": "Minimum detection box score", - "machine_learning_ocr_min_detection_box_score_description": "Minimum confidence score for a text box to be detected from 0-1. The detection result box is considered a text box if the average score of all pixels within the box is greater than this threshold. Lower values will detect more text boxes but may result in false positives.", + "machine_learning_ocr_enabled_description": "If disabled, images will not undergo text recognition.", + "machine_learning_ocr_max_resolution": "Maximum resolution", + "machine_learning_ocr_max_resolution_description": "Previews above this resolution will be resized while preserving aspect ratio. Higher values are more accurate, but take longer to process and use more memory.", "machine_learning_ocr_min_detection_score": "Minimum detection score", - "machine_learning_ocr_min_detection_score_description": "Minimum confidence score for text to be detected from 0-1. The output probability map, only pixels with scores greater than this threshold are considered text pixels. Lower values will detect more text but may result in false positives.", + "machine_learning_ocr_min_detection_score_description": "Minimum confidence score for text to be detected from 0-1. Lower values will detect more text but may result in false positives.", "machine_learning_ocr_min_recognition_score": "Minimum recognition score", - "machine_learning_ocr_min_score_recognition_description": "Minimum confidence score for text to be recognized from 0-1. Only text results with scores greater than this threshold are retained. The default value for this parameter is 0, meaning no threshold is applied.", + "machine_learning_ocr_min_score_recognition_description": "Minimum confidence score for detected text to be recognized from 0-1. Lower values will recognize more text but may result in false positives.", "machine_learning_ocr_model": "OCR model", - "machine_learning_ocr_model_description": "Choose an OCR model. PP‑OCRv5_server is based on a deeper network architecture, resulting in a larger model size and higher accuracy. It is suitable for deployment on high-performance servers and can perform robust text recognition in complex images. In contrast, PP‑OCRv5_mobile employs pruning and lightweight design, with fewer parameters, faster loading, and more efficient computation, making it ideal for edge devices while still maintaining excellent OCR performance.", - "machine_learning_ocr_orientation_classify_enabled": "Enable orientation classify", - "machine_learning_ocr_orientation_classify_enabled_description": "The document image orientation classification module detects and corrects the orientation of scanned or photographed documents. If a capture device is rotated, the resulting image may be misaligned and unreadable by standard OCR. By classifying the correct text orientation and applying rotation correction, OCR accuracy is improved.", - "machine_learning_ocr_unwarping_enabled": "Enable unwarping", - "machine_learning_ocr_unwarping_enabled_description": "Text image correction uses geometric transformations to fix document distortions, skew, and perspective deformation, improving accuracy for subsequent text recognition.", + "machine_learning_ocr_model_description": "Server models are more accurate than mobile models, but take longer to process and use more memory.", "machine_learning_settings": "Machine Learning Settings", "machine_learning_settings_description": "Manage machine learning features and settings", "machine_learning_smart_search": "Smart Search", diff --git a/i18n/zh_SIMPLIFIED.json b/i18n/zh_SIMPLIFIED.json index 5e9ef86f75..f7f37e595d 100644 --- a/i18n/zh_SIMPLIFIED.json +++ b/i18n/zh_SIMPLIFIED.json @@ -149,18 +149,9 @@ "machine_learning_ocr_description": "使用机器学习识别图片中的文本", "machine_learning_ocr_enabled": "启用文本识别", "machine_learning_ocr_enabled_description": "如果禁用，则不会对图像编码以用于文本识别。", - "machine_learning_ocr_min_detection_box_score": "最低检测框分数", - "machine_learning_ocr_min_detection_box_score_description": "文本框被检测到的最小置信度分数范围是0到1。检测结果边框内，所有像素点的平均得分大于该阈值时，该结果会被认为是文字区域。较低的值将检测到更多的文本框，但可能导致误报。", "machine_learning_ocr_min_detection_score": "最低检测分数", - "machine_learning_ocr_min_detection_score_description": "文本检测到的最小置信度分数范围是0到1。输出的概率图中，得分大于该阈值的像素点才会被认为是文字像素点。较低的值将检测到更多的文本，但可能导致误报。", "machine_learning_ocr_min_recognition_score": "最低识别分数", - "machine_learning_ocr_min_score_recognition_description": "文本识别的最小置信度分数范围是0到1。得分大于该阈值的文本结果会被保留。默认值为 0，表示不设置阈值。", "machine_learning_ocr_model": "文本识别模型", - "machine_learning_ocr_model_description": "选择一个文本识别模型。PP‑OCRv5_server 基于更深的网络结构，模型体积较大，准确率更高，适用于部署在高性能服务器上，可在复杂图像中进行稳健的文本识别；而 PP‑OCRv5_mobile 则通过剪枝与轻量化设计，参数量更少、加载更快、计算更高效，适合在边缘设备上运行，同时仍保持出色的 OCR 性能。", - "machine_learning_ocr_orientation_classify_enabled": "启用方向分类", - "machine_learning_ocr_orientation_classify_enabled_description": "文档图像方向分类模块可检测并纠正扫描或拍摄文档的朝向。如果拍摄设备旋转，生成的图像可能会错位，使标准 OCR 无法识别。通过分类确定正确的文字朝向并进行旋转校正，可提高 OCR 的识别准确性。", - "machine_learning_ocr_unwarping_enabled": "启用纠偏", - "machine_learning_ocr_unwarping_enabled_description": "文本图像矫正通过几何变换修正文档中的扭曲、倾斜与透视变形，以提高后续文本识别的准确性。", "machine_learning_settings": "机器学习设置", "machine_learning_settings_description": "管理机器学习功能和设置", "machine_learning_smart_search": "智能搜索", diff --git a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte index 136d0b15d5..3bcb230717 100644 --- a/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte +++ b/web/src/lib/components/admin-page/settings/machine-learning-settings/machine-learning-settings.svelte @@ -252,7 +252,7 @@ description={$t('admin.machine_learning_ocr_min_detection_score_description')} bind:value={config.machineLearning.ocr.minDetectionScore} step="0.1" - min={0} + min={0.1} max={1} disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled} isEdited={config.machineLearning.ocr.minDetectionScore !== savedConfig.machineLearning.ocr.minDetectionScore} @@ -264,7 +264,7 @@ description={$t('admin.machine_learning_ocr_min_score_recognition_description')} bind:value={config.machineLearning.ocr.minRecognitionScore} step="0.1" - min={0} + min={0.1} max={1} disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled} isEdited={config.machineLearning.ocr.minRecognitionScore !== savedConfig.machineLearning.ocr.minRecognitionScore} @@ -273,8 +273,8 @@ Date: Mon, 16 Jun 2025 16:24:26 -0400 Subject: [PATCH 19/44] apply config correctly, adjust defaults --- machine-learning/immich_ml/models/base.py | 2 +- .../immich_ml/models/clip/textual.py | 2 +- .../immich_ml/models/clip/visual.py | 2 +- .../models/facial_recognition/detection.py | 2 +- .../models/facial_recognition/recognition.py | 2 +- .../immich_ml/models/ocr/detection.py | 34 ++++++++++++------- .../immich_ml/models/ocr/recognition.py | 23 ++++++------- .../immich_ml/models/ocr/schemas.py | 6 ++-- machine-learning/immich_ml/sessions/ort.py | 1 + server/src/config.ts | 4 +-- 10 files changed, 43 insertions(+), 35 deletions(-) diff --git a/machine-learning/immich_ml/models/base.py b/machine-learning/immich_ml/models/base.py index 5c40b21f32..00790ce744 100644 --- a/machine-learning/immich_ml/models/base.py +++ b/machine-learning/immich_ml/models/base.py @@ -57,7 +57,7 @@ class InferenceModel(ABC): self.load() if model_kwargs: self.configure(**model_kwargs) - return self._predict(*inputs, **model_kwargs) + return self._predict(*inputs) @abstractmethod def _predict(self, *inputs: Any, **model_kwargs: Any) -> Any: ... diff --git a/machine-learning/immich_ml/models/clip/textual.py b/machine-learning/immich_ml/models/clip/textual.py index c1b3a9eba4..7e1908e120 100644 --- a/machine-learning/immich_ml/models/clip/textual.py +++ b/machine-learning/immich_ml/models/clip/textual.py @@ -19,7 +19,7 @@ class BaseCLIPTextualEncoder(InferenceModel): depends = [] identity = (ModelType.TEXTUAL, ModelTask.SEARCH) - def _predict(self, inputs: str, language: str | None = None, **kwargs: Any) -> str: + def _predict(self, inputs: str, language: str | None = None) -> str: tokens = self.tokenize(inputs, language=language) res: NDArray[np.float32] = self.session.run(None, tokens)[0][0] return serialize_np_array(res) diff --git a/machine-learning/immich_ml/models/clip/visual.py b/machine-learning/immich_ml/models/clip/visual.py index 48ae8877cf..16993f9c01 100644 --- a/machine-learning/immich_ml/models/clip/visual.py +++ b/machine-learning/immich_ml/models/clip/visual.py @@ -26,7 +26,7 @@ class BaseCLIPVisualEncoder(InferenceModel): depends = [] identity = (ModelType.VISUAL, ModelTask.SEARCH) - def _predict(self, inputs: Image.Image | bytes, **kwargs: Any) -> str: + def _predict(self, inputs: Image.Image | bytes) -> str: image = decode_pil(inputs) res: NDArray[np.float32] = self.session.run(None, self.transform(image))[0][0] return serialize_np_array(res) diff --git a/machine-learning/immich_ml/models/facial_recognition/detection.py b/machine-learning/immich_ml/models/facial_recognition/detection.py index 5e5015574c..26c9208e48 100644 --- a/machine-learning/immich_ml/models/facial_recognition/detection.py +++ b/machine-learning/immich_ml/models/facial_recognition/detection.py @@ -24,7 +24,7 @@ class FaceDetector(InferenceModel): return session - def _predict(self, inputs: NDArray[np.uint8] | bytes, **kwargs: Any) -> FaceDetectionOutput: + def _predict(self, inputs: NDArray[np.uint8] | bytes) -> FaceDetectionOutput: inputs = decode_cv2(inputs) bboxes, landmarks = self._detect(inputs) diff --git a/machine-learning/immich_ml/models/facial_recognition/recognition.py b/machine-learning/immich_ml/models/facial_recognition/recognition.py index eaf0172270..759992a600 100644 --- a/machine-learning/immich_ml/models/facial_recognition/recognition.py +++ b/machine-learning/immich_ml/models/facial_recognition/recognition.py @@ -44,7 +44,7 @@ class FaceRecognizer(InferenceModel): return session def _predict( - self, inputs: NDArray[np.uint8] | bytes | Image.Image, faces: FaceDetectionOutput, **kwargs: Any + self, inputs: NDArray[np.uint8] | bytes | Image.Image, faces: FaceDetectionOutput ) -> FacialRecognitionOutput: if faces["boxes"].shape[0] == 0: return [] diff --git a/machine-learning/immich_ml/models/ocr/detection.py b/machine-learning/immich_ml/models/ocr/detection.py index dbe14b77e4..235fcc677e 100644 --- a/machine-learning/immich_ml/models/ocr/detection.py +++ b/machine-learning/immich_ml/models/ocr/detection.py @@ -11,7 +11,8 @@ from rapidocr.utils.typings import ModelType as RapidModelType from immich_ml.config import log from immich_ml.models.base import InferenceModel from immich_ml.models.transforms import decode_cv2 -from immich_ml.schemas import ModelSession, ModelTask, ModelType +from immich_ml.schemas import ModelFormat, ModelSession, ModelTask, ModelType +from immich_ml.sessions.ort import OrtSession from .schemas import OcrOptions, TextDetectionOutput @@ -21,14 +22,14 @@ class TextDetector(InferenceModel): identity = (ModelType.DETECTION, ModelTask.OCR) def __init__(self, model_name: str, **model_kwargs: Any) -> None: - super().__init__(model_name, **model_kwargs) - self.max_resolution = 1440 + super().__init__(model_name, **model_kwargs, model_format=ModelFormat.ONNX) + self.max_resolution = 736 self.min_score = 0.5 self.score_mode = "fast" self._empty: TextDetectionOutput = { - "resized": np.empty(0, dtype=np.float32), + "image": np.empty(0, dtype=np.float32), "boxes": np.empty(0, dtype=np.float32), - "scores": (), + "scores": np.empty(0, dtype=np.float32), } def _download(self) -> None: @@ -50,7 +51,8 @@ class TextDetector(InferenceModel): DownloadFile.run(download_params) def _load(self) -> ModelSession: - session = self._make_session(self.model_path) + # TODO: support other runtime sessions + session = OrtSession(self.model_path) self.model = RapidTextDetector( OcrOptions( session=session.session, @@ -62,17 +64,23 @@ class TextDetector(InferenceModel): ) return session - def configure(self, **kwargs: Any) -> None: - self.max_resolution = kwargs.get("maxResolution", self.max_resolution) - self.min_score = kwargs.get("minScore", self.min_score) - self.score_mode = kwargs.get("scoreMode", self.score_mode) - - def _predict(self, inputs: bytes | Image.Image, **kwargs: Any) -> TextDetectionOutput: + def _predict(self, inputs: bytes | Image.Image) -> TextDetectionOutput: results = self.model(decode_cv2(inputs)) if results.boxes is None or results.scores is None or results.img is None: return self._empty return { - "resized": results.img, + "image": results.img, "boxes": np.array(results.boxes, dtype=np.float32), "scores": np.array(results.scores, dtype=np.float32), } + + def configure(self, **kwargs: Any) -> None: + if (max_resolution := kwargs.get("maxResolution")) is not None: + self.max_resolution = max_resolution + self.model.limit_side_len = max_resolution + if (min_score := kwargs.get("minScore")) is not None: + self.min_score = min_score + self.model.postprocess_op.box_thresh = min_score + if (score_mode := kwargs.get("scoreMode")) is not None: + self.score_mode = score_mode + self.model.postprocess_op.score_mode = score_mode diff --git a/machine-learning/immich_ml/models/ocr/recognition.py b/machine-learning/immich_ml/models/ocr/recognition.py index 90ba691804..f88bd9ec3c 100644 --- a/machine-learning/immich_ml/models/ocr/recognition.py +++ b/machine-learning/immich_ml/models/ocr/recognition.py @@ -23,12 +23,12 @@ class TextRecognizer(InferenceModel): identity = (ModelType.RECOGNITION, ModelTask.OCR) def __init__(self, model_name: str, **model_kwargs: Any) -> None: - self.min_score = model_kwargs.get("minScore", 0.5) + self.min_score = model_kwargs.get("minScore", 0.9) self._empty: TextRecognitionOutput = { "box": np.empty(0, dtype=np.float32), - "boxScore": [], + "boxScore": np.empty(0, dtype=np.float32), "text": [], - "textScore": [], + "textScore": np.empty(0, dtype=np.float32), } super().__init__(model_name, **model_kwargs, model_format=ModelFormat.ONNX) @@ -62,24 +62,20 @@ class TextRecognizer(InferenceModel): ) return session - def configure(self, **kwargs: Any) -> None: - self.min_score = kwargs.get("minScore", self.min_score) - - def _predict(self, _: Image, texts: TextDetectionOutput, **kwargs: Any) -> TextRecognitionOutput: - boxes, resized_img, box_scores = texts["boxes"], texts["resized"], texts["scores"] + def _predict(self, _: Image, texts: TextDetectionOutput) -> TextRecognitionOutput: + boxes, img, box_scores = texts["boxes"], texts["image"], texts["scores"] if boxes.shape[0] == 0: return self._empty - rec = self.model(TextRecInput(img=self.get_crop_img_list(resized_img, boxes))) + rec = self.model(TextRecInput(img=self.get_crop_img_list(img, boxes))) if rec.txts is None: return self._empty - height, width = resized_img.shape[0:2] - log.info(f"Image shape: width={width}, height={height}") + height, width = img.shape[0:2] boxes[:, :, 0] /= width boxes[:, :, 1] /= height text_scores = np.array(rec.scores) - valid_text_score_idx = text_scores > 0.5 + valid_text_score_idx = text_scores > self.min_score valid_score_idx_list = valid_text_score_idx.tolist() return { "box": boxes.reshape(-1, 8)[valid_text_score_idx].reshape(-1), @@ -115,3 +111,6 @@ class TextRecognizer(InferenceModel): dst_img = np.rot90(dst_img) imgs.append(dst_img) return imgs + + def configure(self, **kwargs: Any) -> None: + self.min_score = kwargs.get("minScore", self.min_score) diff --git a/machine-learning/immich_ml/models/ocr/schemas.py b/machine-learning/immich_ml/models/ocr/schemas.py index 8db2fdc65c..cea420b66d 100644 --- a/machine-learning/immich_ml/models/ocr/schemas.py +++ b/machine-learning/immich_ml/models/ocr/schemas.py @@ -7,16 +7,16 @@ from typing_extensions import TypedDict class TextDetectionOutput(TypedDict): - resized: npt.NDArray[np.float32] + image: npt.NDArray[np.float32] boxes: npt.NDArray[np.float32] scores: npt.NDArray[np.float32] class TextRecognitionOutput(TypedDict): box: npt.NDArray[np.float32] - boxScore: Iterable[float] + boxScore: npt.NDArray[np.float32] text: Iterable[str] - textScore: Iterable[float] + textScore: npt.NDArray[np.float32] # RapidOCR expects engine_type to be an attribute diff --git a/machine-learning/immich_ml/sessions/ort.py b/machine-learning/immich_ml/sessions/ort.py index 538da6b11c..add9414f00 100644 --- a/machine-learning/immich_ml/sessions/ort.py +++ b/machine-learning/immich_ml/sessions/ort.py @@ -15,6 +15,7 @@ from ..config import log, settings class OrtSession: session: ort.InferenceSession + def __init__( self, model_path: Path | str, diff --git a/server/src/config.ts b/server/src/config.ts index 38d6634727..ab08521d37 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -254,8 +254,8 @@ export const defaults = Object.freeze({ enabled: true, modelName: 'PP-OCRv5_server', minDetectionScore: 0.5, - minRecognitionScore: 0.5, - maxResolution: 1440, + minRecognitionScore: 0.9, + maxResolution: 736, }, }, map: { From 49ff045df3fac29236d6603957ba7495793e2a21 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 8 Sep 2025 19:34:08 -0400 Subject: [PATCH 20/44] unnecessary model type --- machine-learning/immich_ml/models/cache.py | 8 +------- machine-learning/immich_ml/schemas.py | 1 - 2 files changed, 1 insertion(+), 8 deletions(-) diff --git a/machine-learning/immich_ml/models/cache.py b/machine-learning/immich_ml/models/cache.py index cd4e3e59b6..d8f9ca81bd 100644 --- a/machine-learning/immich_ml/models/cache.py +++ b/machine-learning/immich_ml/models/cache.py @@ -38,13 +38,7 @@ class ModelCache: async def get( self, model_name: str, model_type: ModelType, model_task: ModelTask, **model_kwargs: Any ) -> InferenceModel: - config_key = "" - if model_type == ModelType.OCR and model_task == ModelTask.OCR: - orientation = model_kwargs.get("orientationClassifyEnabled", True) - unwarping = model_kwargs.get("unwarpingEnabled", True) - config_key = f"_o{orientation}_u{unwarping}" - - key = f"{model_name}{model_type}{model_task}{config_key}" + key = f"{model_name}{model_type}{model_task}" async with OptimisticLock(self.cache, key) as lock: model: InferenceModel | None = await self.cache.get(key) diff --git a/machine-learning/immich_ml/schemas.py b/machine-learning/immich_ml/schemas.py index 5cf5a6bc35..bfb40b9c84 100644 --- a/machine-learning/immich_ml/schemas.py +++ b/machine-learning/immich_ml/schemas.py @@ -31,7 +31,6 @@ class ModelType(StrEnum): RECOGNITION = "recognition" TEXTUAL = "textual" VISUAL = "visual" - OCR = "ocr" class ModelFormat(StrEnum): From 7be708e6638e2d35d18f3a4545e3626f8be9717c Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Mon, 8 Sep 2025 19:35:11 -0400 Subject: [PATCH 21/44] unnecessary sources --- machine-learning/pyproject.toml | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/machine-learning/pyproject.toml b/machine-learning/pyproject.toml index 9136cc5f93..6a22a4b720 100644 --- a/machine-learning/pyproject.toml +++ b/machine-learning/pyproject.toml @@ -65,20 +65,8 @@ name = "cuda12" url = "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/" explicit = true -[[tool.uv.index]] -name = "paddlepaddle-cpu" -url = "https://www.paddlepaddle.org.cn/packages/stable/cpu/" -explicit = true - -[[tool.uv.index]] -name = "paddlepaddle-gpu" -url = "https://www.paddlepaddle.org.cn/packages/stable/cu118/" -explicit = true - [tool.uv.sources] onnxruntime-gpu = { index = "cuda12" } -paddlepaddle = { index = "paddlepaddle-cpu" } -paddlepaddle-gpu = { index = "paddlepaddle-gpu" } [tool.hatch.build.targets.sdist] include = ["immich_ml"] From 7211086cb24f156c5e9d6fb60bbf72fcd632a9d3 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Tue, 9 Sep 2025 23:12:53 +0800 Subject: [PATCH 22/44] fix(ocr): switch RapidOCR lang type from LangDet to LangRec --- machine-learning/immich_ml/models/ocr/recognition.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/machine-learning/immich_ml/models/ocr/recognition.py b/machine-learning/immich_ml/models/ocr/recognition.py index f88bd9ec3c..0f1394304c 100644 --- a/machine-learning/immich_ml/models/ocr/recognition.py +++ b/machine-learning/immich_ml/models/ocr/recognition.py @@ -7,7 +7,7 @@ from rapidocr.ch_ppocr_rec import TextRecInput from rapidocr.ch_ppocr_rec import TextRecognizer as RapidTextRecognizer from rapidocr.inference_engine.base import FileInfo, InferSession from rapidocr.utils import DownloadFile, DownloadFileInput -from rapidocr.utils.typings import EngineType, LangDet, OCRVersion, TaskType +from rapidocr.utils.typings import EngineType, LangRec, OCRVersion, TaskType from rapidocr.utils.typings import ModelType as RapidModelType from immich_ml.config import log, settings @@ -38,7 +38,7 @@ class TextRecognizer(InferenceModel): engine_type=EngineType.ONNXRUNTIME, ocr_version=OCRVersion.PPOCRV5, task_type=TaskType.REC, - lang_type=LangDet.CH, + lang_type=LangRec.CH, model_type=RapidModelType.MOBILE if "mobile" in self.model_name else RapidModelType.SERVER, ) ) From b5a2bf5ae5c60432750e4d64f6e0b6085e26a88e Mon Sep 17 00:00:00 2001 From: CoderKang Date: Tue, 9 Sep 2025 23:14:35 +0800 Subject: [PATCH 23/44] fix(ocr): expose lang_type (LangRec.CH) and font_path on OcrOptions for RapidOCR --- machine-learning/immich_ml/models/ocr/schemas.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/machine-learning/immich_ml/models/ocr/schemas.py b/machine-learning/immich_ml/models/ocr/schemas.py index cea420b66d..4acf1b1eb9 100644 --- a/machine-learning/immich_ml/models/ocr/schemas.py +++ b/machine-learning/immich_ml/models/ocr/schemas.py @@ -2,7 +2,7 @@ from typing import Iterable import numpy as np import numpy.typing as npt -from rapidocr.utils.typings import EngineType +from rapidocr.utils.typings import EngineType, LangRec from typing_extensions import TypedDict @@ -19,8 +19,10 @@ class TextRecognitionOutput(TypedDict): textScore: npt.NDArray[np.float32] -# RapidOCR expects engine_type to be an attribute +# RapidOCR expects `engine_type`, `lang_type`, and `font_path` to be attributes class OcrOptions(dict): def __init__(self, **options): super().__init__(**options) self.engine_type = EngineType.ONNXRUNTIME + self.lang_type = LangRec.CH + self.font_path = None From 31f191fad22808d7dba773e6e8761397e8306f54 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Tue, 9 Sep 2025 23:16:17 +0800 Subject: [PATCH 24/44] fix(ocr): make OCR text search case- and accent-insensitive using ILIKE + unaccent --- server/src/utils/database.ts | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/server/src/utils/database.ts b/server/src/utils/database.ts index 8c05543eaa..37a6ee503d 100644 --- a/server/src/utils/database.ts +++ b/server/src/utils/database.ts @@ -391,8 +391,14 @@ export function searchAssetBuilder(kysely: Kysely, options: AssetSearchBuild .$if(!!options.ocr, (qb) => qb .innerJoin('ocr_search', 'asset.id', 'ocr_search.assetId') - .where(() => sql`f_unaccent(ocr_search.text) %>> f_unaccent(${options.ocr!})`), + .where(({ eb, val }) => + eb.or([ + eb('ocr_search.text', 'ilike', val(`%${options.ocr}%`)), + eb(sql`unaccent(ocr_search.text)`, 'ilike', sql`'%' || unaccent(${options.ocr}) || '%'`), + ]) + ) ) + .$if(!!options.type, (qb) => qb.where('asset.type', '=', options.type!)) .$if(options.isFavorite !== undefined, (qb) => qb.where('asset.isFavorite', '=', options.isFavorite!)) .$if(options.isOffline !== undefined, (qb) => qb.where('asset.isOffline', '=', options.isOffline!)) From 140124f12195d0d0c3e9a8823165a0c514671754 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Tue, 9 Sep 2025 23:18:30 +0800 Subject: [PATCH 25/44] fix(ocr): add OCR search fields --- .../repositories/search_api.repository.dart | 1 + mobile/lib/pages/search/search.page.dart | 21 +++----------- .../pages/search/drift_search.page.dart | 28 +++++++++++++++++-- 3 files changed, 30 insertions(+), 20 deletions(-) diff --git a/mobile/lib/infrastructure/repositories/search_api.repository.dart b/mobile/lib/infrastructure/repositories/search_api.repository.dart index 129746120b..3f59392bfe 100644 --- a/mobile/lib/infrastructure/repositories/search_api.repository.dart +++ b/mobile/lib/infrastructure/repositories/search_api.repository.dart @@ -43,6 +43,7 @@ class SearchApiRepository extends ApiRepository { originalFileName: filter.filename != null && filter.filename!.isNotEmpty ? filter.filename : null, country: filter.location.country, description: filter.description != null && filter.description!.isNotEmpty ? filter.description : null, + ocr: filter.ocr != null && filter.ocr!.isNotEmpty ? filter.ocr : null, state: filter.location.state, city: filter.location.city, make: filter.camera.make, diff --git a/mobile/lib/pages/search/search.page.dart b/mobile/lib/pages/search/search.page.dart index 8044fa3ff1..b032302151 100644 --- a/mobile/lib/pages/search/search.page.dart +++ b/mobile/lib/pages/search/search.page.dart @@ -389,31 +389,18 @@ class SearchPage extends HookConsumerWidget { handleTextSubmitted(String value) { switch (textSearchType.value) { case TextSearchType.context: - filter.value = filter.value.copyWith(filename: '', context: value, description: ''); + filter.value = filter.value.copyWith(filename: '', context: value, description: '', ocr: ''); break; case TextSearchType.filename: - filter.value = filter.value.copyWith(filename: value, context: '', description: ''); + filter.value = filter.value.copyWith(filename: value, context: '', description: '', ocr: ''); break; case TextSearchType.description: - filter.value = filter.value.copyWith(filename: '', context: '', description: value); + filter.value = filter.value.copyWith(filename: '', context: '', description: value, ocr: ''); break; case TextSearchType.ocr: - filter.value = filter.value.copyWith( - filename: '', - context: '', - description: '', - ocr: value, - ); - break; - case TextSearchType.ocr: - filter.value = filter.value.copyWith( - filename: '', - context: '', - description: '', - ocr: value, - ); + filter.value = filter.value.copyWith(filename: '', context: '', description: '', ocr: value); break; } diff --git a/mobile/lib/presentation/pages/search/drift_search.page.dart b/mobile/lib/presentation/pages/search/drift_search.page.dart index d44b215b03..16450690c8 100644 --- a/mobile/lib/presentation/pages/search/drift_search.page.dart +++ b/mobile/lib/presentation/pages/search/drift_search.page.dart @@ -394,15 +394,18 @@ class DriftSearchPage extends HookConsumerWidget { handleTextSubmitted(String value) { switch (textSearchType.value) { case TextSearchType.context: - filter.value = filter.value.copyWith(filename: '', context: value, description: ''); + filter.value = filter.value.copyWith(filename: '', context: value, description: '', ocr: ''); break; case TextSearchType.filename: - filter.value = filter.value.copyWith(filename: value, context: '', description: ''); + filter.value = filter.value.copyWith(filename: value, context: '', description: '', ocr: ''); break; case TextSearchType.description: - filter.value = filter.value.copyWith(filename: '', context: '', description: value); + filter.value = filter.value.copyWith(filename: '', context: '', description: value, ocr: ''); + break; + case TextSearchType.ocr: + filter.value = filter.value.copyWith(filename: '', context: '', description: '', ocr: value); break; } @@ -413,6 +416,7 @@ class DriftSearchPage extends HookConsumerWidget { TextSearchType.context => Icons.image_search_rounded, TextSearchType.filename => Icons.abc_rounded, TextSearchType.description => Icons.text_snippet_outlined, + TextSearchType.ocr => Icons.document_scanner_outlined, }; return Scaffold( @@ -498,6 +502,24 @@ class DriftSearchPage extends HookConsumerWidget { searchHintText.value = 'search_by_description_example'.t(context: context); }, ), + MenuItemButton( + child: ListTile( + leading: const Icon(Icons.document_scanner_outlined), + title: Text( + 'search_by_ocr'.t(context: context), + style: context.textTheme.bodyLarge?.copyWith( + fontWeight: FontWeight.w500, + color: textSearchType.value == TextSearchType.ocr ? context.colorScheme.primary : null, + ), + ), + selectedColor: context.colorScheme.primary, + selected: textSearchType.value == TextSearchType.ocr, + ), + onPressed: () { + textSearchType.value = TextSearchType.ocr; + searchHintText.value = 'search_by_ocr_example'.t(context: context); + }, + ), ], ), ), From 7d80dc45654f936e00091f0105ccdc7c8942e0a7 Mon Sep 17 00:00:00 2001 From: CoderKang Date: Wed, 24 Sep 2025 21:14:57 +0800 Subject: [PATCH 26/44] fix: Add OCR database migration and update ML prediction logic. --- server/src/repositories/machine-learning.repository.ts | 2 +- ...ateAssetOCRTable.ts => 1758705774125-CreateAssetOCRTable.ts} | 2 +- ...eOCRSearchTable.ts => 1758705789125-CreateOCRSearchTable.ts} | 2 +- ...setJobStatus.ts => 1758705804128-UpsertOcrAssetJobStatus.ts} | 0 4 files changed, 3 insertions(+), 3 deletions(-) rename server/src/schema/migrations/{1750091086107-CreateAssetOCRTable.ts => 1758705774125-CreateAssetOCRTable.ts} (90%) rename server/src/schema/migrations/{1750091089793-CreateOCRSearchTable.ts => 1758705789125-CreateOCRSearchTable.ts} (87%) rename server/src/schema/migrations/{1750091146366-UpsertOcrAssetJobStatus.ts => 1758705804128-UpsertOcrAssetJobStatus.ts} (100%) diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index f5de807001..75180cb1ff 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -245,7 +245,7 @@ export class MachineLearningRepository { [ModelType.RECOGNITION]: { modelName, options: { minScore: minRecognitionScore } }, }, }; - const response = await this.predict(urls, { imagePath }, request); + const response = await this.predict({ imagePath }, request); return response[ModelTask.OCR]; } } diff --git a/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts similarity index 90% rename from server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts rename to server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts index fe17883d3a..2d9aadd968 100644 --- a/server/src/schema/migrations/1750091086107-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts @@ -5,7 +5,7 @@ export async function up(db: Kysely): Promise { db, ); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); - await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); + await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "asset" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); await sql`CREATE INDEX "IDX_dc592ec504976f5636e28bb84c" ON "asset_ocr" ("assetId")`.execute(db); } diff --git a/server/src/schema/migrations/1750091089793-CreateOCRSearchTable.ts b/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts similarity index 87% rename from server/src/schema/migrations/1750091089793-CreateOCRSearchTable.ts rename to server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts index 4598ad0763..b989eb4460 100644 --- a/server/src/schema/migrations/1750091089793-CreateOCRSearchTable.ts +++ b/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts @@ -3,7 +3,7 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { await sql`CREATE TABLE "ocr_search" ("assetId" uuid NOT NULL, "text" text NOT NULL);`.execute(db); await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "PK_a8299b7f08ef223f6d32f4482a7" PRIMARY KEY ("assetId");`.execute(db); - await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7" FOREIGN KEY ("assetId") REFERENCES "assets" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); + await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7" FOREIGN KEY ("assetId") REFERENCES "asset" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); await sql`CREATE INDEX "idx_ocr_search_text" ON "ocr_search" USING gin (f_unaccent("text") gin_trgm_ops);`.execute( db, ); diff --git a/server/src/schema/migrations/1750091146366-UpsertOcrAssetJobStatus.ts b/server/src/schema/migrations/1758705804128-UpsertOcrAssetJobStatus.ts similarity index 100% rename from server/src/schema/migrations/1750091146366-UpsertOcrAssetJobStatus.ts rename to server/src/schema/migrations/1758705804128-UpsertOcrAssetJobStatus.ts From 0fd4d4c7986497f5836c69e87362e40c3a9c9575 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Tue, 14 Oct 2025 18:40:12 -0400 Subject: [PATCH 27/44] trigrams are already case insensitive --- server/src/utils/database.ts | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/server/src/utils/database.ts b/server/src/utils/database.ts index 37a6ee503d..8c05543eaa 100644 --- a/server/src/utils/database.ts +++ b/server/src/utils/database.ts @@ -391,14 +391,8 @@ export function searchAssetBuilder(kysely: Kysely, options: AssetSearchBuild .$if(!!options.ocr, (qb) => qb .innerJoin('ocr_search', 'asset.id', 'ocr_search.assetId') - .where(({ eb, val }) => - eb.or([ - eb('ocr_search.text', 'ilike', val(`%${options.ocr}%`)), - eb(sql`unaccent(ocr_search.text)`, 'ilike', sql`'%' || unaccent(${options.ocr}) || '%'`), - ]) - ) + .where(() => sql`f_unaccent(ocr_search.text) %>> f_unaccent(${options.ocr!})`), ) - .$if(!!options.type, (qb) => qb.where('asset.type', '=', options.type!)) .$if(options.isFavorite !== undefined, (qb) => qb.where('asset.isFavorite', '=', options.isFavorite!)) .$if(options.isOffline !== undefined, (qb) => qb.where('asset.isOffline', '=', options.isOffline!)) From 88c9935c4a4c25dfe04303b4ccb52b96d2fe10b1 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:16:51 -0400 Subject: [PATCH 28/44] add tests --- server/src/config.ts | 6 +- server/src/dtos/job.dto.ts | 2 +- server/src/dtos/system-config.dto.ts | 2 +- server/src/enum.ts | 6 +- server/src/repositories/job.repository.ts | 3 - .../machine-learning.repository.ts | 26 ++- server/src/services/job.service.spec.ts | 7 +- server/src/services/job.service.ts | 10 +- server/src/services/ocr.service.spec.ts | 177 ++++++++++++++++++ server/src/services/ocr.service.ts | 18 +- server/src/services/server.service.spec.ts | 1 + .../services/system-config.service.spec.ts | 8 + server/src/types.ts | 4 +- .../medium/specs/services/ocr.service.spec.ts | 174 +++++++++++++++++ server/test/utils.ts | 4 + 15 files changed, 399 insertions(+), 49 deletions(-) create mode 100644 server/test/medium/specs/services/ocr.service.spec.ts diff --git a/server/src/config.ts b/server/src/config.ts index a9770b92cc..deb869e366 100644 --- a/server/src/config.ts +++ b/server/src/config.ts @@ -233,7 +233,7 @@ export const defaults = Object.freeze({ [QueueName.ThumbnailGeneration]: { concurrency: 3 }, [QueueName.VideoConversion]: { concurrency: 1 }, [QueueName.Notification]: { concurrency: 5 }, - [QueueName.OCR]: { concurrency: 1 }, + [QueueName.Ocr]: { concurrency: 1 }, }, logging: { enabled: true, @@ -264,9 +264,9 @@ export const defaults = Object.freeze({ }, ocr: { enabled: true, - modelName: 'PP-OCRv5_server', + modelName: 'PP-OCRv5_mobile', minDetectionScore: 0.5, - minRecognitionScore: 0.9, + minRecognitionScore: 0.8, maxResolution: 736, }, }, diff --git a/server/src/dtos/job.dto.ts b/server/src/dtos/job.dto.ts index 381b6a6f8c..5daaeacdd3 100644 --- a/server/src/dtos/job.dto.ts +++ b/server/src/dtos/job.dto.ts @@ -95,5 +95,5 @@ export class AllJobStatusResponseDto implements Record [QueueName.BackupDatabase]!: JobStatusDto; @ApiProperty({ type: JobStatusDto }) - [QueueName.OCR]!: JobStatusDto; + [QueueName.Ocr]!: JobStatusDto; } diff --git a/server/src/dtos/system-config.dto.ts b/server/src/dtos/system-config.dto.ts index d793861ec4..ff304d2865 100644 --- a/server/src/dtos/system-config.dto.ts +++ b/server/src/dtos/system-config.dto.ts @@ -205,7 +205,7 @@ class SystemConfigJobDto implements Record @ValidateNested() @IsObject() @Type(() => JobSettingsDto) - [QueueName.OCR]!: JobSettingsDto; + [QueueName.Ocr]!: JobSettingsDto; @ApiProperty({ type: JobSettingsDto }) @ValidateNested() diff --git a/server/src/enum.ts b/server/src/enum.ts index cac69eecf0..28667235ed 100644 --- a/server/src/enum.ts +++ b/server/src/enum.ts @@ -511,7 +511,7 @@ export enum QueueName { Library = 'library', Notification = 'notifications', BackupDatabase = 'backupDatabase', - OCR = 'ocr', + Ocr = 'ocr', } export enum JobName { @@ -586,8 +586,8 @@ export enum JobName { VersionCheck = 'VersionCheck', // OCR - QUEUE_OCR = 'queue-ocr', - OCR = 'ocr', + OcrQueueAll = 'OcrQueueAll', + Ocr = 'Ocr', } export enum JobCommand { diff --git a/server/src/repositories/job.repository.ts b/server/src/repositories/job.repository.ts index 84b7b4b58d..5acd8d5746 100644 --- a/server/src/repositories/job.repository.ts +++ b/server/src/repositories/job.repository.ts @@ -220,9 +220,6 @@ export class JobRepository { case JobName.FacialRecognitionQueueAll: { return { jobId: JobName.FacialRecognitionQueueAll }; } - case JobName.QUEUE_OCR: { - return { jobId: JobName.QUEUE_OCR }; - } default: { return null; } diff --git a/server/src/repositories/machine-learning.repository.ts b/server/src/repositories/machine-learning.repository.ts index 75180cb1ff..60a2011653 100644 --- a/server/src/repositories/machine-learning.repository.ts +++ b/server/src/repositories/machine-learning.repository.ts @@ -218,6 +218,17 @@ export class MachineLearningRepository { return response[ModelTask.SEARCH]; } + async ocr(imagePath: string, { modelName, minDetectionScore, minRecognitionScore, maxResolution }: OcrOptions) { + const request = { + [ModelTask.OCR]: { + [ModelType.DETECTION]: { modelName, options: { minScore: minDetectionScore, maxResolution } }, + [ModelType.RECOGNITION]: { modelName, options: { minScore: minRecognitionScore } }, + }, + }; + const response = await this.predict({ imagePath }, request); + return response[ModelTask.OCR]; + } + private async getFormData(payload: ModelPayload, config: MachineLearningRequest): Promise { const formData = new FormData(); formData.append('entries', JSON.stringify(config)); @@ -233,19 +244,4 @@ export class MachineLearningRepository { return formData; } - - async ocr( - urls: string[], - imagePath: string, - { modelName, minDetectionScore, minRecognitionScore, maxResolution }: OcrOptions, - ) { - const request = { - [ModelTask.OCR]: { - [ModelType.DETECTION]: { modelName, options: { minScore: minDetectionScore, maxResolution } }, - [ModelType.RECOGNITION]: { modelName, options: { minScore: minRecognitionScore } }, - }, - }; - const response = await this.predict({ imagePath }, request); - return response[ModelTask.OCR]; - } } diff --git a/server/src/services/job.service.spec.ts b/server/src/services/job.service.spec.ts index 6b85cdff4d..432a9b6dbf 100644 --- a/server/src/services/job.service.spec.ts +++ b/server/src/services/job.service.spec.ts @@ -24,7 +24,7 @@ describe(JobService.name, () => { it('should update concurrency', () => { sut.onConfigUpdate({ newConfig: defaults, oldConfig: {} as SystemConfig }); - expect(mocks.job.setConcurrency).toHaveBeenCalledTimes(15); + expect(mocks.job.setConcurrency).toHaveBeenCalledTimes(16); expect(mocks.job.setConcurrency).toHaveBeenNthCalledWith(5, QueueName.FacialRecognition, 1); expect(mocks.job.setConcurrency).toHaveBeenNthCalledWith(7, QueueName.DuplicateDetection, 1); expect(mocks.job.setConcurrency).toHaveBeenNthCalledWith(8, QueueName.BackgroundTask, 5); @@ -98,6 +98,7 @@ describe(JobService.name, () => { [QueueName.Library]: expectedJobStatus, [QueueName.Notification]: expectedJobStatus, [QueueName.BackupDatabase]: expectedJobStatus, + [QueueName.Ocr]: expectedJobStatus, }); }); }); @@ -270,12 +271,12 @@ describe(JobService.name, () => { }, { item: { name: JobName.AssetGenerateThumbnails, data: { id: 'asset-1', source: 'upload' } }, - jobs: [JobName.SmartSearch, JobName.AssetDetectFaces], + jobs: [JobName.SmartSearch, JobName.AssetDetectFaces, JobName.Ocr], stub: [assetStub.livePhotoStillAsset], }, { item: { name: JobName.AssetGenerateThumbnails, data: { id: 'asset-1', source: 'upload' } }, - jobs: [JobName.SmartSearch, JobName.AssetDetectFaces, JobName.AssetEncodeVideo], + jobs: [JobName.SmartSearch, JobName.AssetDetectFaces, JobName.Ocr, JobName.AssetEncodeVideo], stub: [assetStub.video], }, { diff --git a/server/src/services/job.service.ts b/server/src/services/job.service.ts index 81a14f41a8..c3b6912d89 100644 --- a/server/src/services/job.service.ts +++ b/server/src/services/job.service.ts @@ -237,12 +237,8 @@ export class JobService extends BaseService { return this.jobRepository.queue({ name: JobName.DatabaseBackup, data: { force } }); } - case QueueName.OCR: { - return this.jobRepository.queue({ name: JobName.QUEUE_OCR, data: { force } }); - } - - case QueueName.OCR: { - return this.jobRepository.queue({ name: JobName.QUEUE_OCR, data: { force } }); + case QueueName.Ocr: { + return this.jobRepository.queue({ name: JobName.OcrQueueAll, data: { force } }); } default: { @@ -361,7 +357,7 @@ export class JobService extends BaseService { const jobs: JobItem[] = [ { name: JobName.SmartSearch, data: item.data }, { name: JobName.AssetDetectFaces, data: item.data }, - { name: JobName.OCR, data: item.data }, + { name: JobName.Ocr, data: item.data }, ]; if (asset.type === AssetType.Video) { diff --git a/server/src/services/ocr.service.spec.ts b/server/src/services/ocr.service.spec.ts index e69de29bb2..6eedba1a5f 100644 --- a/server/src/services/ocr.service.spec.ts +++ b/server/src/services/ocr.service.spec.ts @@ -0,0 +1,177 @@ +import { AssetVisibility, ImmichWorker, JobName, JobStatus } from 'src/enum'; +import { OcrService } from 'src/services/ocr.service'; +import { assetStub } from 'test/fixtures/asset.stub'; +import { systemConfigStub } from 'test/fixtures/system-config.stub'; +import { makeStream, newTestService, ServiceMocks } from 'test/utils'; + +describe(OcrService.name, () => { + let sut: OcrService; + let mocks: ServiceMocks; + + beforeEach(() => { + ({ sut, mocks } = newTestService(OcrService)); + + mocks.config.getWorker.mockReturnValue(ImmichWorker.Microservices); + }); + + it('should work', () => { + expect(sut).toBeDefined(); + }); + + describe('handleQueueOcr', () => { + it('should do nothing if machine learning is disabled', async () => { + mocks.systemMetadata.get.mockResolvedValue(systemConfigStub.machineLearningDisabled); + + await sut.handleQueueOcr({ force: false }); + + expect(mocks.database.setDimensionSize).not.toHaveBeenCalled(); + }); + + it('should queue the assets without ocr', async () => { + mocks.assetJob.streamForOcrJob.mockReturnValue(makeStream([assetStub.image])); + + await sut.handleQueueOcr({ force: false }); + + expect(mocks.job.queueAll).toHaveBeenCalledWith([{ name: JobName.Ocr, data: { id: assetStub.image.id } }]); + expect(mocks.assetJob.streamForOcrJob).toHaveBeenCalledWith(false); + }); + + it('should queue all the assets', async () => { + mocks.assetJob.streamForOcrJob.mockReturnValue(makeStream([assetStub.image])); + + await sut.handleQueueOcr({ force: true }); + + expect(mocks.job.queueAll).toHaveBeenCalledWith([{ name: JobName.Ocr, data: { id: assetStub.image.id } }]); + expect(mocks.assetJob.streamForOcrJob).toHaveBeenCalledWith(true); + }); + }); + + describe('handleOcr', () => { + it('should do nothing if machine learning is disabled', async () => { + mocks.systemMetadata.get.mockResolvedValue(systemConfigStub.machineLearningDisabled); + + expect(await sut.handleOcr({ id: '123' })).toEqual(JobStatus.Skipped); + + expect(mocks.asset.getByIds).not.toHaveBeenCalled(); + expect(mocks.machineLearning.encodeImage).not.toHaveBeenCalled(); + }); + + it('should skip assets without a resize path', async () => { + mocks.assetJob.getForOcr.mockResolvedValue({ visibility: AssetVisibility.Timeline, previewFile: null }); + + expect(await sut.handleOcr({ id: assetStub.noResizePath.id })).toEqual(JobStatus.Failed); + + expect(mocks.ocr.upsert).not.toHaveBeenCalled(); + expect(mocks.machineLearning.ocr).not.toHaveBeenCalled(); + }); + + it('should save the returned objects', async () => { + mocks.machineLearning.ocr.mockResolvedValue({ + box: [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160], + boxScore: [0.9, 0.8], + text: ['One Two Three', 'Four Five'], + textScore: [0.95, 0.85], + }); + mocks.assetJob.getForOcr.mockResolvedValue({ + visibility: AssetVisibility.Timeline, + previewFile: assetStub.image.files[1].path, + }); + + expect(await sut.handleOcr({ id: assetStub.image.id })).toEqual(JobStatus.Success); + + expect(mocks.machineLearning.ocr).toHaveBeenCalledWith( + '/uploads/user-id/thumbs/path.jpg', + expect.objectContaining({ + modelName: 'PP-OCRv5_mobile', + minDetectionScore: 0.5, + minRecognitionScore: 0.8, + maxResolution: 736, + }), + ); + expect(mocks.ocr.upsert).toHaveBeenCalledWith(assetStub.image.id, [ + { + assetId: assetStub.image.id, + boxScore: 0.9, + text: 'One Two Three', + textScore: 0.95, + x1: 10, + y1: 20, + x2: 30, + y2: 40, + x3: 50, + y3: 60, + x4: 70, + y4: 80, + }, + { + assetId: assetStub.image.id, + boxScore: 0.8, + text: 'Four Five', + textScore: 0.85, + x1: 90, + y1: 100, + x2: 110, + y2: 120, + x3: 130, + y3: 140, + x4: 150, + y4: 160, + }, + ]); + }); + + it('should apply config settings', async () => { + mocks.systemMetadata.get.mockResolvedValue({ + machineLearning: { + enabled: true, + ocr: { + modelName: 'PP-OCRv5_server', + enabled: true, + minDetectionScore: 0.8, + minRecognitionScore: 0.9, + maxResolution: 1500, + }, + }, + }); + mocks.machineLearning.ocr.mockResolvedValue({ box: [], boxScore: [], text: [], textScore: [] }); + mocks.assetJob.getForOcr.mockResolvedValue({ + visibility: AssetVisibility.Timeline, + previewFile: assetStub.image.files[1].path, + }); + + expect(await sut.handleOcr({ id: assetStub.image.id })).toEqual(JobStatus.Success); + + expect(mocks.machineLearning.ocr).toHaveBeenCalledWith( + '/uploads/user-id/thumbs/path.jpg', + expect.objectContaining({ + modelName: 'PP-OCRv5_server', + minDetectionScore: 0.8, + minRecognitionScore: 0.9, + maxResolution: 1500, + }), + ); + expect(mocks.ocr.upsert).toHaveBeenCalledWith(assetStub.image.id, []); + }); + + it('should skip invisible assets', async () => { + mocks.assetJob.getForOcr.mockResolvedValue({ + visibility: AssetVisibility.Hidden, + previewFile: assetStub.image.files[1].path, + }); + + expect(await sut.handleOcr({ id: assetStub.livePhotoMotionAsset.id })).toEqual(JobStatus.Skipped); + + expect(mocks.machineLearning.ocr).not.toHaveBeenCalled(); + expect(mocks.ocr.upsert).not.toHaveBeenCalled(); + }); + + it('should fail if asset could not be found', async () => { + mocks.assetJob.getForOcr.mockResolvedValue(void 0); + + expect(await sut.handleOcr({ id: assetStub.image.id })).toEqual(JobStatus.Failed); + + expect(mocks.machineLearning.ocr).not.toHaveBeenCalled(); + expect(mocks.ocr.upsert).not.toHaveBeenCalled(); + }); + }); +}); diff --git a/server/src/services/ocr.service.ts b/server/src/services/ocr.service.ts index 86a86fd88f..cba57e5bc7 100644 --- a/server/src/services/ocr.service.ts +++ b/server/src/services/ocr.service.ts @@ -9,8 +9,8 @@ import { isOcrEnabled } from 'src/utils/misc'; @Injectable() export class OcrService extends BaseService { - @OnJob({ name: JobName.QUEUE_OCR, queue: QueueName.OCR }) - async handleQueueOcr({ force, nightly }: JobOf): Promise { + @OnJob({ name: JobName.OcrQueueAll, queue: QueueName.Ocr }) + async handleQueueOcr({ force }: JobOf): Promise { const { machineLearning } = await this.getConfig({ withCache: false }); if (!isOcrEnabled(machineLearning)) { return JobStatus.Skipped; @@ -24,7 +24,7 @@ export class OcrService extends BaseService { const assets = this.assetJobRepository.streamForOcrJob(force); for await (const asset of assets) { - jobs.push({ name: JobName.OCR, data: { id: asset.id } }); + jobs.push({ name: JobName.Ocr, data: { id: asset.id } }); if (jobs.length >= JOBS_ASSET_PAGINATION_SIZE) { await this.jobRepository.queueAll(jobs); @@ -36,8 +36,8 @@ export class OcrService extends BaseService { return JobStatus.Success; } - @OnJob({ name: JobName.OCR, queue: QueueName.OCR }) - async handleOcr({ id }: JobOf): Promise { + @OnJob({ name: JobName.Ocr, queue: QueueName.Ocr }) + async handleOcr({ id }: JobOf): Promise { const { machineLearning } = await this.getConfig({ withCache: true }); if (!isOcrEnabled(machineLearning)) { return JobStatus.Skipped; @@ -52,11 +52,7 @@ export class OcrService extends BaseService { return JobStatus.Skipped; } - const ocrResults = await this.machineLearningRepository.ocr( - machineLearning.urls, - asset.previewFile, - machineLearning.ocr, - ); + const ocrResults = await this.machineLearningRepository.ocr(asset.previewFile, machineLearning.ocr); await this.ocrRepository.upsert(id, this.parseOcrResults(id, ocrResults)); @@ -66,7 +62,7 @@ export class OcrService extends BaseService { return JobStatus.Success; } - parseOcrResults(id: string, { box, boxScore, text, textScore }: OCR) { + private parseOcrResults(id: string, { box, boxScore, text, textScore }: OCR) { const ocrDataList = []; for (let i = 0; i < text.length; i++) { const boxOffset = i * 8; diff --git a/server/src/services/server.service.spec.ts b/server/src/services/server.service.spec.ts index a96a9925db..8e39f09c62 100644 --- a/server/src/services/server.service.spec.ts +++ b/server/src/services/server.service.spec.ts @@ -141,6 +141,7 @@ describe(ServerService.name, () => { reverseGeocoding: true, oauth: false, oauthAutoLaunch: false, + ocr: true, passwordLogin: true, search: true, sidecar: true, diff --git a/server/src/services/system-config.service.spec.ts b/server/src/services/system-config.service.spec.ts index 5a9c7f4df3..a72c5be7e2 100644 --- a/server/src/services/system-config.service.spec.ts +++ b/server/src/services/system-config.service.spec.ts @@ -39,6 +39,7 @@ const updatedConfig = Object.freeze({ [QueueName.ThumbnailGeneration]: { concurrency: 3 }, [QueueName.VideoConversion]: { concurrency: 1 }, [QueueName.Notification]: { concurrency: 5 }, + [QueueName.Ocr]: { concurrency: 1 }, }, backup: { database: { @@ -102,6 +103,13 @@ const updatedConfig = Object.freeze({ maxDistance: 0.5, minFaces: 3, }, + ocr: { + enabled: true, + modelName: 'PP-OCRv5_mobile', + minDetectionScore: 0.5, + minRecognitionScore: 0.8, + maxResolution: 736, + }, }, map: { enabled: true, diff --git a/server/src/types.ts b/server/src/types.ts index 066b39ecbc..66045521d0 100644 --- a/server/src/types.ts +++ b/server/src/types.ts @@ -373,8 +373,8 @@ export type JobItem = | { name: JobName.VersionCheck; data: IBaseJob } // OCR - | { name: JobName.QUEUE_OCR; data: INightlyJob } - | { name: JobName.OCR; data: IEntityJob }; + | { name: JobName.OcrQueueAll; data: IBaseJob } + | { name: JobName.Ocr; data: IEntityJob }; export type VectorExtension = (typeof VECTOR_EXTENSIONS)[number]; diff --git a/server/test/medium/specs/services/ocr.service.spec.ts b/server/test/medium/specs/services/ocr.service.spec.ts new file mode 100644 index 0000000000..cf51d980ec --- /dev/null +++ b/server/test/medium/specs/services/ocr.service.spec.ts @@ -0,0 +1,174 @@ +import { Kysely } from 'kysely'; +import { AssetJobRepository } from 'src/repositories/asset-job.repository'; +import { AssetRepository } from 'src/repositories/asset.repository'; +import { JobRepository } from 'src/repositories/job.repository'; +import { LoggingRepository } from 'src/repositories/logging.repository'; +import { MachineLearningRepository } from 'src/repositories/machine-learning.repository'; +import { OcrRepository } from 'src/repositories/ocr.repository'; +import { DB } from 'src/schema'; +import { OcrService } from 'src/services/ocr.service'; +import { newMediumService } from 'test/medium.factory'; +import { getKyselyDB } from 'test/utils'; + +let defaultDatabase: Kysely; + +const setup = (db?: Kysely) => { + return newMediumService(OcrService, { + database: db || defaultDatabase, + real: [AssetRepository, AssetJobRepository, JobRepository, OcrRepository], + mock: [LoggingRepository, MachineLearningRepository], + }); +}; + +beforeAll(async () => { + defaultDatabase = await getKyselyDB(); +}); + +describe(OcrService.name, () => { + it('should work', () => { + const { sut } = setup(); + expect(sut).toBeDefined(); + }); + + it('should parse asset', async () => { + const { sut, ctx } = setup(); + const { user } = await ctx.newUser(); + const { asset } = await ctx.newAsset({ ownerId: user.id }); + + const machineLearningMock = ctx.getMock(MachineLearningRepository); + machineLearningMock.ocr.mockResolvedValue({ + box: [10, 10, 50, 10, 50, 50, 10, 50], + boxScore: [0.99], + text: ['Test OCR'], + textScore: [0.95], + }); + + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe('Success'); + + const ocrRepository = ctx.get(OcrRepository); + await expect(ocrRepository.getByAssetId(asset.id)).resolves.toEqual([ + { + assetId: asset.id, + boxScore: 0.99, + id: expect.any(String), + text: 'Test OCR', + textScore: 0.95, + x1: 10, + y1: 10, + x2: 50, + y2: 10, + x3: 50, + y3: 50, + x4: 10, + y4: 50, + }, + ]); + await expect( + ctx.database.selectFrom('ocr_search').selectAll().where('assetId', '=', asset.id).executeTakeFirst(), + ).resolves.toEqual({ + assetId: asset.id, + text: 'Test OCR', + }); + }); + + it('should handle multiple boxes', async () => { + const { sut, ctx } = setup(); + const { user } = await ctx.newUser(); + const { asset } = await ctx.newAsset({ ownerId: user.id }); + + const machineLearningMock = ctx.getMock(MachineLearningRepository); + machineLearningMock.ocr.mockResolvedValue({ + box: Array.from({ length: 8 * 10 }, (_, i) => i), + boxScore: [0.7, 0.67, 0.65, 0.62, 0.6], + text: ['One', 'Two', 'Three', 'Four', 'Five'], + textScore: [0.9, 0.89, 0.88, 0.87, 0.86], + }); + + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe('Success'); + + const ocrRepository = ctx.get(OcrRepository); + await expect(ocrRepository.getByAssetId(asset.id)).resolves.toEqual([ + { + assetId: asset.id, + boxScore: 0.7, + id: expect.any(String), + text: 'One', + textScore: 0.9, + x1: 0, + y1: 1, + x2: 2, + y2: 3, + x3: 4, + y3: 5, + x4: 6, + y4: 7, + }, + { + assetId: asset.id, + boxScore: 0.67, + id: expect.any(String), + text: 'Two', + textScore: 0.89, + x1: 8, + y1: 9, + x2: 10, + y2: 11, + x3: 12, + y3: 13, + x4: 14, + y4: 15, + }, + { + assetId: asset.id, + boxScore: 0.65, + id: expect.any(String), + text: 'Three', + textScore: 0.88, + x1: 16, + y1: 17, + x2: 18, + y2: 19, + x3: 20, + y3: 21, + x4: 22, + y4: 23, + }, + { + assetId: asset.id, + boxScore: 0.62, + id: expect.any(String), + text: 'Four', + textScore: 0.87, + x1: 24, + y1: 25, + x2: 26, + y2: 27, + x3: 28, + y3: 29, + x4: 30, + y4: 31, + }, + { + assetId: asset.id, + boxScore: 0.6, + id: expect.any(String), + text: 'Five', + textScore: 0.86, + x1: 32, + y1: 33, + x2: 34, + y2: 35, + x3: 36, + y3: 37, + x4: 38, + y4: 39, + }, + ]); + await expect( + ctx.database.selectFrom('ocr_search').selectAll().where('assetId', '=', asset.id).executeTakeFirst(), + ).resolves.toEqual({ + assetId: asset.id, + text: 'One Two Three Four Fivee', + }); + }); +}); diff --git a/server/test/utils.ts b/server/test/utils.ts index c23341d64c..a7fa05c173 100644 --- a/server/test/utils.ts +++ b/server/test/utils.ts @@ -41,6 +41,7 @@ import { MetadataRepository } from 'src/repositories/metadata.repository'; import { MoveRepository } from 'src/repositories/move.repository'; import { NotificationRepository } from 'src/repositories/notification.repository'; import { OAuthRepository } from 'src/repositories/oauth.repository'; +import { OcrRepository } from 'src/repositories/ocr.repository'; import { PartnerRepository } from 'src/repositories/partner.repository'; import { PersonRepository } from 'src/repositories/person.repository'; import { ProcessRepository } from 'src/repositories/process.repository'; @@ -228,6 +229,7 @@ export type ServiceOverrides = { metadata: MetadataRepository; move: MoveRepository; notification: NotificationRepository; + ocr: OcrRepository; oauth: OAuthRepository; partner: PartnerRepository; person: PersonRepository; @@ -298,6 +300,7 @@ export const newTestService = ( metadata: newMetadataRepositoryMock(), move: automock(MoveRepository, { strict: false }), notification: automock(NotificationRepository), + ocr: automock(OcrRepository, { strict: false }), oauth: automock(OAuthRepository, { args: [loggerMock] }), partner: automock(PartnerRepository, { strict: false }), person: automock(PersonRepository, { strict: false }), @@ -350,6 +353,7 @@ export const newTestService = ( overrides.move || (mocks.move as As), overrides.notification || (mocks.notification as As), overrides.oauth || (mocks.oauth as As), + overrides.ocr || (mocks.ocr as As), overrides.partner || (mocks.partner as As), overrides.person || (mocks.person as As), overrides.process || (mocks.process as As), From 664e1bdd977823139a46be9c8e82d5ef388237b3 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:19:27 -0400 Subject: [PATCH 29/44] format --- machine-learning/immich_ml/main.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/machine-learning/immich_ml/main.py b/machine-learning/immich_ml/main.py index 62d8d1ec8e..35f04d77ef 100644 --- a/machine-learning/immich_ml/main.py +++ b/machine-learning/immich_ml/main.py @@ -184,8 +184,7 @@ async def run_inference(payload: Image | str, entries: InferenceEntries) -> Infe async def _run_inference(entry: InferenceEntry) -> None: model = await model_cache.get( - entry["name"], entry["type"], entry["task"], - ttl=settings.model_ttl, **entry["options"] + entry["name"], entry["type"], entry["task"], ttl=settings.model_ttl, **entry["options"] ) inputs = [payload] for dep in model.depends: From 99fc6b826354bd2e754bfe458baa0d95f4ab05f0 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:26:32 -0400 Subject: [PATCH 30/44] update migrations --- .../1758705774125-CreateAssetOCRTable.ts | 16 +++++++++------- .../1758705789125-CreateOCRSearchTable.ts | 10 ++++++---- 2 files changed, 15 insertions(+), 11 deletions(-) diff --git a/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts index 2d9aadd968..b21e45bc78 100644 --- a/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts @@ -1,17 +1,19 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT immich_uuid_v7(), "assetId" uuid NOT NULL, "x1" real NOT NULL, "y1" real NOT NULL, "x2" real NOT NULL, "y2" real NOT NULL, "x3" real NOT NULL, "y3" real NOT NULL, "x4" real NOT NULL, "y4" real NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT immich_uuid_v4(), "assetId" uuid NOT NULL, "x1" real NOT NULL, "y1" real NOT NULL, "x2" real NOT NULL, "y2" real NOT NULL, "x3" real NOT NULL, "y3" real NOT NULL, "x4" real NOT NULL, "y4" real NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( db, ); - await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22" PRIMARY KEY ("id");`.execute(db); - await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "FK_dc592ec504976f5636e28bb84c6" FOREIGN KEY ("assetId") REFERENCES "asset" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); - await sql`CREATE INDEX "IDX_dc592ec504976f5636e28bb84c" ON "asset_ocr" ("assetId")`.execute(db); + await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "asset_ocr_pkey" PRIMARY KEY ("id");`.execute(db); + await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "asset_ocr_assetId_fkey" FOREIGN KEY ("assetId") REFERENCES "asset" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute( + db, + ); + await sql`CREATE INDEX "asset_ocr_assetId_idx" ON "asset_ocr" ("assetId")`.execute(db); } export async function down(db: Kysely): Promise { - await sql`DROP INDEX "IDX_dc592ec504976f5636e28bb84c";`.execute(db); - await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "PK_5c37b36ceef9ac1f688b6c6bf22";`.execute(db); - await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "FK_dc592ec504976f5636e28bb84c6";`.execute(db); + await sql`DROP INDEX "asset_ocr_assetId_idx";`.execute(db); + await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "asset_ocr_pkey";`.execute(db); + await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "asset_ocr_assetId_fkey";`.execute(db); await sql`DROP TABLE "asset_ocr";`.execute(db); } diff --git a/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts b/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts index b989eb4460..47cd23e17e 100644 --- a/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts +++ b/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts @@ -2,15 +2,17 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { await sql`CREATE TABLE "ocr_search" ("assetId" uuid NOT NULL, "text" text NOT NULL);`.execute(db); - await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "PK_a8299b7f08ef223f6d32f4482a7" PRIMARY KEY ("assetId");`.execute(db); - await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7" FOREIGN KEY ("assetId") REFERENCES "asset" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute(db); + await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "ocr_search_pkey" PRIMARY KEY ("assetId");`.execute(db); + await sql`ALTER TABLE "ocr_search" ADD CONSTRAINT "ocr_search_assetId_fkey" FOREIGN KEY ("assetId") REFERENCES "asset" ("id") ON UPDATE CASCADE ON DELETE CASCADE;`.execute( + db, + ); await sql`CREATE INDEX "idx_ocr_search_text" ON "ocr_search" USING gin (f_unaccent("text") gin_trgm_ops);`.execute( db, ); } export async function down(db: Kysely): Promise { - await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "PK_a8299b7f08ef223f6d32f4482a7";`.execute(db); - await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "FK_a8299b7f08ef223f6d32f4482a7";`.execute(db); + await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "ocr_search_pkey";`.execute(db); + await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "ocr_search_assetId_fkey";`.execute(db); await sql`DROP TABLE "ocr_search";`.execute(db); } From 5c044fb853260ac8c1694edcbdbcdd65658099e7 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:29:09 -0400 Subject: [PATCH 31/44] wrong uuid function --- .../src/schema/migrations/1758705774125-CreateAssetOCRTable.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts index b21e45bc78..4071e4b04e 100644 --- a/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts @@ -1,7 +1,7 @@ import { Kysely, sql } from 'kysely'; export async function up(db: Kysely): Promise { - await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT immich_uuid_v4(), "assetId" uuid NOT NULL, "x1" real NOT NULL, "y1" real NOT NULL, "x2" real NOT NULL, "y2" real NOT NULL, "x3" real NOT NULL, "y3" real NOT NULL, "x4" real NOT NULL, "y4" real NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( + await sql`CREATE TABLE "asset_ocr" ("id" uuid NOT NULL DEFAULT uuid_generate_v4(), "assetId" uuid NOT NULL, "x1" real NOT NULL, "y1" real NOT NULL, "x2" real NOT NULL, "y2" real NOT NULL, "x3" real NOT NULL, "y3" real NOT NULL, "x4" real NOT NULL, "y4" real NOT NULL, "boxScore" real NOT NULL, "textScore" real NOT NULL, "text" text NOT NULL);`.execute( db, ); await sql`ALTER TABLE "asset_ocr" ADD CONSTRAINT "asset_ocr_pkey" PRIMARY KEY ("id");`.execute(db); From 44f90d42f8d40d60ae43be5b0e4e8117b27aef0b Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:35:52 -0400 Subject: [PATCH 32/44] linting --- machine-learning/immich_ml/models/ocr/recognition.py | 9 +++++---- machine-learning/immich_ml/models/ocr/schemas.py | 6 +++--- machine-learning/uv.lock | 2 +- 3 files changed, 9 insertions(+), 8 deletions(-) diff --git a/machine-learning/immich_ml/models/ocr/recognition.py b/machine-learning/immich_ml/models/ocr/recognition.py index 0f1394304c..0138ff9bdb 100644 --- a/machine-learning/immich_ml/models/ocr/recognition.py +++ b/machine-learning/immich_ml/models/ocr/recognition.py @@ -2,6 +2,7 @@ from typing import Any import cv2 import numpy as np +from numpy.typing import NDArray from PIL.Image import Image from rapidocr.ch_ppocr_rec import TextRecInput from rapidocr.ch_ppocr_rec import TextRecognizer as RapidTextRecognizer @@ -84,7 +85,7 @@ class TextRecognizer(InferenceModel): "textScore": text_scores[valid_text_score_idx], } - def get_crop_img_list(self, img: np.ndarray, boxes: np.ndarray) -> list[np.ndarray]: + def get_crop_img_list(self, img: NDArray[np.float32], boxes: NDArray[np.float32]) -> list[NDArray[np.float32]]: img_crop_width = np.maximum( np.linalg.norm(boxes[:, 1] - boxes[:, 0], axis=1), np.linalg.norm(boxes[:, 2] - boxes[:, 3], axis=1) ).astype(np.int32) @@ -96,16 +97,16 @@ class TextRecognizer(InferenceModel): pts_std[:, 2:4, 1] = img_crop_height[:, None] img_crop_sizes = np.stack([img_crop_width, img_crop_height], axis=1).tolist() - imgs = [] + imgs: list[NDArray[np.float32]] = [] for box, pts_std, dst_size in zip(list(boxes), list(pts_std), img_crop_sizes): M = cv2.getPerspectiveTransform(box, pts_std) - dst_img = cv2.warpPerspective( + dst_img: NDArray[np.float32] = cv2.warpPerspective( img, M, dst_size, borderMode=cv2.BORDER_REPLICATE, flags=cv2.INTER_CUBIC, - ) + ) # type: ignore dst_height, dst_width = dst_img.shape[0:2] if dst_height * 1.0 / dst_width >= 1.5: dst_img = np.rot90(dst_img) diff --git a/machine-learning/immich_ml/models/ocr/schemas.py b/machine-learning/immich_ml/models/ocr/schemas.py index 4acf1b1eb9..14a7d3cea0 100644 --- a/machine-learning/immich_ml/models/ocr/schemas.py +++ b/machine-learning/immich_ml/models/ocr/schemas.py @@ -1,4 +1,4 @@ -from typing import Iterable +from typing import Any, Iterable import numpy as np import numpy.typing as npt @@ -20,8 +20,8 @@ class TextRecognitionOutput(TypedDict): # RapidOCR expects `engine_type`, `lang_type`, and `font_path` to be attributes -class OcrOptions(dict): - def __init__(self, **options): +class OcrOptions(dict[str, Any]): + def __init__(self, **options: Any) -> None: super().__init__(**options) self.engine_type = EngineType.ONNXRUNTIME self.lang_type = LangRec.CH diff --git a/machine-learning/uv.lock b/machine-learning/uv.lock index 9dcc58684c..caaa1e4467 100644 --- a/machine-learning/uv.lock +++ b/machine-learning/uv.lock @@ -1082,7 +1082,7 @@ wheels = [ [[package]] name = "immich-ml" -version = "1.129.0" +version = "2.0.1" source = { editable = "." } dependencies = [ { name = "aiocache" }, From 80853df98a4f58d1b50f87b92cfeeb6020ea1529 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:41:15 -0400 Subject: [PATCH 33/44] maybe fix medium tests --- server/test/medium.factory.ts | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/server/test/medium.factory.ts b/server/test/medium.factory.ts index c7356e2f1b..bb964dd3f0 100644 --- a/server/test/medium.factory.ts +++ b/server/test/medium.factory.ts @@ -27,8 +27,10 @@ import { EmailRepository } from 'src/repositories/email.repository'; import { EventRepository } from 'src/repositories/event.repository'; import { JobRepository } from 'src/repositories/job.repository'; import { LoggingRepository } from 'src/repositories/logging.repository'; +import { MachineLearningRepository } from 'src/repositories/machine-learning.repository'; import { MemoryRepository } from 'src/repositories/memory.repository'; import { NotificationRepository } from 'src/repositories/notification.repository'; +import { OcrRepository } from 'src/repositories/ocr.repository'; import { PartnerRepository } from 'src/repositories/partner.repository'; import { PersonRepository } from 'src/repositories/person.repository'; import { SearchRepository } from 'src/repositories/search.repository'; @@ -291,6 +293,7 @@ const newRealRepository = (key: ClassConstructor, db: Kysely): T => { case AssetJobRepository: case MemoryRepository: case NotificationRepository: + case OcrRepository: case PartnerRepository: case PersonRepository: case SearchRepository: @@ -336,8 +339,10 @@ const newMockRepository = (key: ClassConstructor) => { case AssetJobRepository: case ConfigRepository: case CryptoRepository: + case MachineLearningRepository: case MemoryRepository: case NotificationRepository: + case OcrRepository: case PartnerRepository: case PersonRepository: case SessionRepository: From 36d9f406507aa605b061daa504d057a5be0187bf Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:42:19 -0400 Subject: [PATCH 34/44] formatting --- server/src/controllers/search.controller.ts | 2 +- server/src/schema/tables/ocr-search.table.ts | 2 +- server/src/services/server.service.ts | 7 ++++++- 3 files changed, 8 insertions(+), 3 deletions(-) diff --git a/server/src/controllers/search.controller.ts b/server/src/controllers/search.controller.ts index 161d9b278a..f9aa6bce81 100644 --- a/server/src/controllers/search.controller.ts +++ b/server/src/controllers/search.controller.ts @@ -15,7 +15,7 @@ import { SearchStatisticsResponseDto, SearchSuggestionRequestDto, SmartSearchDto, - StatisticsSearchDto + StatisticsSearchDto, } from 'src/dtos/search.dto'; import { Permission } from 'src/enum'; import { Auth, Authenticated } from 'src/middleware/auth.guard'; diff --git a/server/src/schema/tables/ocr-search.table.ts b/server/src/schema/tables/ocr-search.table.ts index 4174891e63..3449725adb 100644 --- a/server/src/schema/tables/ocr-search.table.ts +++ b/server/src/schema/tables/ocr-search.table.ts @@ -17,4 +17,4 @@ export class OcrSearchTable { @Column({ type: 'text' }) text!: string; -} \ No newline at end of file +} diff --git a/server/src/services/server.service.ts b/server/src/services/server.service.ts index e3dc0efcf1..5c3669dcbb 100644 --- a/server/src/services/server.service.ts +++ b/server/src/services/server.service.ts @@ -19,7 +19,12 @@ import { UserStatsQueryResponse } from 'src/repositories/user.repository'; import { BaseService } from 'src/services/base.service'; import { asHumanReadable } from 'src/utils/bytes'; import { mimeTypes } from 'src/utils/mime-types'; -import { isDuplicateDetectionEnabled, isFacialRecognitionEnabled, isOcrEnabled, isSmartSearchEnabled } from 'src/utils/misc'; +import { + isDuplicateDetectionEnabled, + isFacialRecognitionEnabled, + isOcrEnabled, + isSmartSearchEnabled, +} from 'src/utils/misc'; @Injectable() export class ServerService extends BaseService { From abef381543b333b447ff1a134c471401a892dcad Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:43:47 -0400 Subject: [PATCH 35/44] fix weblate check --- i18n/zh_SIMPLIFIED.json | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/i18n/zh_SIMPLIFIED.json b/i18n/zh_SIMPLIFIED.json index 3cbb931018..3ed4a14a2b 100644 --- a/i18n/zh_SIMPLIFIED.json +++ b/i18n/zh_SIMPLIFIED.json @@ -153,13 +153,6 @@ "machine_learning_min_detection_score_description": "检测到人脸的最小置信分数为0-1。较低的值将检测到更多人脸，但可能导致误报。", "machine_learning_min_recognized_faces": "识别的最少人脸数", "machine_learning_min_recognized_faces_description": "创建一个人所需识别的最少人脸数量。提高这个值可以使人脸识别更精确，但也增加了人脸未能被分配到相对应人物的可能性。", - "machine_learning_ocr": "文本识别", - "machine_learning_ocr_description": "使用机器学习识别图片中的文本", - "machine_learning_ocr_enabled": "启用文本识别", - "machine_learning_ocr_enabled_description": "如果禁用，则不会对图像编码以用于文本识别。", - "machine_learning_ocr_min_detection_score": "最低检测分数", - "machine_learning_ocr_min_recognition_score": "最低识别分数", - "machine_learning_ocr_model": "文本识别模型", "machine_learning_settings": "机器学习设置", "machine_learning_settings_description": "管理机器学习功能和设置", "machine_learning_smart_search": "智能搜索", @@ -249,7 +242,6 @@ "oauth_storage_quota_default_description": "未提供声明时使用的配额（GiB）。", "oauth_timeout": "请求超时", "oauth_timeout_description": "请求超时（毫秒）", - "ocr_job_description": "使用机器学习识别图片中的文本", "password_enable_description": "使用邮箱和密码登录", "password_settings": "密码登录", "password_settings_description": "管理密码登录设置", @@ -1429,7 +1421,6 @@ "notifications": "通知", "notifications_setting_description": "管理通知", "oauth": "OAuth", - "ocr": "文本识别", "official_immich_resources": "Immich 官方资源", "offline": "离线", "offset": "偏移量", @@ -1708,8 +1699,6 @@ "search_by_description_example": "在沙巴徒步的日子", "search_by_filename": "按文件名或扩展名查找", "search_by_filename_example": "如 IMG_1234.JPG 或 PNG", - "search_by_ocr": "通过文本识别查找", - "search_by_ocr_example": "拿铁咖啡", "search_camera_make": "按相机品牌查找...", "search_camera_model": "按相机型号查找...", "search_city": "按城市查找...", @@ -1726,7 +1715,6 @@ "search_filter_location_title": "选择位置", "search_filter_media_type": "媒体类型", "search_filter_media_type_title": "选择媒体类型", - "search_filter_ocr": "通过文本识别搜索", "search_filter_people_title": "选择人物", "search_for": "查找", "search_for_existing_person": "查找已有人物", From 321f0d1ff176b1b2adf90feae300057d8e2a43f2 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:44:53 -0400 Subject: [PATCH 36/44] openapi --- mobile/openapi/README.md | 1 + open-api/immich-openapi-specs.json | 7 +------ open-api/typescript-sdk/src/fetch-client.ts | 2 -- 3 files changed, 2 insertions(+), 8 deletions(-) diff --git a/mobile/openapi/README.md b/mobile/openapi/README.md index 4a7d516a9d..99eb24e107 100644 --- a/mobile/openapi/README.md +++ b/mobile/openapi/README.md @@ -417,6 +417,7 @@ Class | Method | HTTP request | Description - [OAuthCallbackDto](doc//OAuthCallbackDto.md) - [OAuthConfigDto](doc//OAuthConfigDto.md) - [OAuthTokenEndpointAuthMethod](doc//OAuthTokenEndpointAuthMethod.md) + - [OcrConfig](doc//OcrConfig.md) - [OnThisDayDto](doc//OnThisDayDto.md) - [OnboardingDto](doc//OnboardingDto.md) - [OnboardingResponseDto](doc//OnboardingResponseDto.md) diff --git a/open-api/immich-openapi-specs.json b/open-api/immich-openapi-specs.json index 6cb15dcb58..bb47ed6ce1 100644 --- a/open-api/immich-openapi-specs.json +++ b/open-api/immich-openapi-specs.json @@ -16499,11 +16499,6 @@ "ocr": { "$ref": "#/components/schemas/OcrConfig" }, - "url": { - "deprecated": true, - "description": "This property was deprecated in v1.122.0", - "type": "string" - }, "urls": { "format": "uri", "items": { @@ -17984,4 +17979,4 @@ } } } -} +} \ No newline at end of file diff --git a/open-api/typescript-sdk/src/fetch-client.ts b/open-api/typescript-sdk/src/fetch-client.ts index 02aaa8f3c7..7ace2e9fa0 100644 --- a/open-api/typescript-sdk/src/fetch-client.ts +++ b/open-api/typescript-sdk/src/fetch-client.ts @@ -1424,8 +1424,6 @@ export type SystemConfigMachineLearningDto = { enabled: boolean; facialRecognition: FacialRecognitionConfig; ocr: OcrConfig; - /** This property was deprecated in v1.122.0 */ - url?: string; urls: string[]; }; export type SystemConfigMapDto = { From c285caf8bd0264a6e7c75462c93b5b8a9ab7c6b5 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:45:34 -0400 Subject: [PATCH 37/44] sql --- server/src/queries/asset.job.repository.sql | 26 ++++++++++----------- server/src/queries/ocr.repository.sql | 20 +++++++++++++--- 2 files changed, 29 insertions(+), 17 deletions(-) diff --git a/server/src/queries/asset.job.repository.sql b/server/src/queries/asset.job.repository.sql index cede68cd7d..b55be413ea 100644 --- a/server/src/queries/asset.job.repository.sql +++ b/server/src/queries/asset.job.repository.sql @@ -287,22 +287,20 @@ where -- AssetJobRepository.getForOcr select - "assets"."visibility", + "asset"."visibility", ( select - "asset_files"."id", - "asset_files"."path", - "asset_files"."type" + "asset_file"."path" from - "asset_files" + "asset_file" where - "asset_files"."assetId" = "assets"."id" - and "asset_files"."type" = $1 + "asset_file"."assetId" = "asset"."id" + and "asset_file"."type" = $1 ) as "previewFile" from - "assets" + "asset" where - "assets"."id" = $2 + "asset"."id" = $2 -- AssetJobRepository.getForSyncAssets select @@ -504,14 +502,14 @@ order by -- AssetJobRepository.streamForOcrJob select - "assets"."id" + "asset"."id" from - "assets" - inner join "asset_job_status" on "asset_job_status"."assetId" = "assets"."id" + "asset" + inner join "asset_job_status" on "asset_job_status"."assetId" = "asset"."id" where "asset_job_status"."ocrAt" is null - and "assets"."deletedAt" is null - and "assets"."visibility" != $1 + and "asset"."deletedAt" is null + and "asset"."visibility" != $1 -- AssetJobRepository.streamForMigrationJob select diff --git a/server/src/queries/ocr.repository.sql b/server/src/queries/ocr.repository.sql index 566997f1ae..d9fe049031 100644 --- a/server/src/queries/ocr.repository.sql +++ b/server/src/queries/ocr.repository.sql @@ -36,16 +36,30 @@ with "x4", "y4", "text", - "confidence" + "boxScore", + "textScore" ) values - ($2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12) + ( + $2, + $3, + $4, + $5, + $6, + $7, + $8, + $9, + $10, + $11, + $12, + $13 + ) ), "inserted_search" as ( insert into "ocr_search" ("assetId", "text") values - ($13, $14) + ($14, $15) on conflict ("assetId") do update set "text" = "excluded"."text" From ec566339ade4f6d18532ab6677c555a47ca989b4 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 14:57:53 -0400 Subject: [PATCH 38/44] minor fixes --- e2e/src/api/specs/server.e2e-spec.ts | 1 + i18n/en.json | 2 +- .../schema/migrations/1758705774125-CreateAssetOCRTable.ts | 3 --- .../schema/migrations/1758705789125-CreateOCRSearchTable.ts | 6 ++++-- web/src/lib/modals/SearchFilterModal.svelte | 6 +++--- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/e2e/src/api/specs/server.e2e-spec.ts b/e2e/src/api/specs/server.e2e-spec.ts index c89280f579..1336ec92fb 100644 --- a/e2e/src/api/specs/server.e2e-spec.ts +++ b/e2e/src/api/specs/server.e2e-spec.ts @@ -113,6 +113,7 @@ describe('/server', () => { importFaces: false, oauth: false, oauthAutoLaunch: false, + ocr: true, passwordLogin: true, search: true, sidecar: true, diff --git a/i18n/en.json b/i18n/en.json index e7a3da53ec..f74fe3e982 100644 --- a/i18n/en.json +++ b/i18n/en.json @@ -253,9 +253,9 @@ "oauth_storage_quota_claim_description": "Automatically set the user's storage quota to the value of this claim.", "oauth_storage_quota_default": "Default storage quota (GiB)", "oauth_storage_quota_default_description": "Quota in GiB to be used when no claim is provided.", - "ocr_job_description": "Use machine learning to recognize text in images", "oauth_timeout": "Request Timeout", "oauth_timeout_description": "Timeout for requests in milliseconds", + "ocr_job_description": "Use machine learning to recognize text in images", "password_enable_description": "Login with email and password", "password_settings": "Password Login", "password_settings_description": "Manage password login settings", diff --git a/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts index 4071e4b04e..611aac8398 100644 --- a/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts +++ b/server/src/schema/migrations/1758705774125-CreateAssetOCRTable.ts @@ -12,8 +12,5 @@ export async function up(db: Kysely): Promise { } export async function down(db: Kysely): Promise { - await sql`DROP INDEX "asset_ocr_assetId_idx";`.execute(db); - await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "asset_ocr_pkey";`.execute(db); - await sql`ALTER TABLE "asset_ocr" DROP CONSTRAINT "asset_ocr_assetId_fkey";`.execute(db); await sql`DROP TABLE "asset_ocr";`.execute(db); } diff --git a/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts b/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts index 47cd23e17e..1b3eefd57d 100644 --- a/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts +++ b/server/src/schema/migrations/1758705789125-CreateOCRSearchTable.ts @@ -9,10 +9,12 @@ export async function up(db: Kysely): Promise { await sql`CREATE INDEX "idx_ocr_search_text" ON "ocr_search" USING gin (f_unaccent("text") gin_trgm_ops);`.execute( db, ); + await sql`INSERT INTO "migration_overrides" ("name", "value") VALUES ('index_idx_ocr_search_text', '{"type":"index","name":"idx_ocr_search_text","sql":"CREATE INDEX \\"idx_ocr_search_text\\" ON \\"ocr_search\\" USING gin (f_unaccent(\\"text\\") gin_trgm_ops);"}'::jsonb);`.execute( + db, + ); } export async function down(db: Kysely): Promise { - await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "ocr_search_pkey";`.execute(db); - await sql`ALTER TABLE "ocr_search" DROP CONSTRAINT "ocr_search_assetId_fkey";`.execute(db); await sql`DROP TABLE "ocr_search";`.execute(db); + await sql`DELETE FROM "migration_overrides" WHERE "name" = 'index_idx_ocr_search_text';`.execute(db); } diff --git a/web/src/lib/modals/SearchFilterModal.svelte b/web/src/lib/modals/SearchFilterModal.svelte index d97af613e2..6afc4cd07c 100644 --- a/web/src/lib/modals/SearchFilterModal.svelte +++ b/web/src/lib/modals/SearchFilterModal.svelte @@ -6,7 +6,7 @@ export type SearchFilter = { query: string; - ocr: string; + ocr?: string; queryType: 'smart' | 'metadata' | 'description' | 'ocr'; personIds: SvelteSet; tagIds: SvelteSet | null; @@ -75,7 +75,7 @@ let filter: SearchFilter = $state({ query, - ocr: 'ocr' in searchQuery ? searchQuery.ocr : '', + ocr: searchQuery.ocr, queryType: defaultQueryType(), personIds: new SvelteSet('personIds' in searchQuery ? searchQuery.personIds : []), tagIds: @@ -114,7 +114,7 @@ const resetForm = () => { filter = { query: '', - ocr: '', + ocr: undefined, queryType: defaultQueryType(), // retain from localStorage or default personIds: new SvelteSet(), tagIds: new SvelteSet(), From c3bb21248045672e311ce72278971885c50dd800 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 15:02:19 -0400 Subject: [PATCH 39/44] maybe fix medium tests part 2 --- server/src/services/base.service.ts | 1 + 1 file changed, 1 insertion(+) diff --git a/server/src/services/base.service.ts b/server/src/services/base.service.ts index e5917ab399..ae9c25c2f2 100644 --- a/server/src/services/base.service.ts +++ b/server/src/services/base.service.ts @@ -83,6 +83,7 @@ export const BASE_SERVICE_DEPENDENCIES = [ MoveRepository, NotificationRepository, OAuthRepository, + OcrRepository, PartnerRepository, PersonRepository, ProcessRepository, From 5809992138d69af126c5d63ebd37d7f5c36707ee Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 15:45:35 -0400 Subject: [PATCH 40/44] passing medium tests --- server/src/repositories/ocr.repository.ts | 25 +----- server/test/medium.factory.ts | 11 ++- .../medium/specs/services/ocr.service.spec.ts | 81 +++++++++++++++++-- 3 files changed, 89 insertions(+), 28 deletions(-) diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index d858af6c3b..6375c1827e 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -26,27 +26,6 @@ export class OcrRepository { }); } - @GenerateSql({ - params: [ - DummyValue.UUID, - [ - { - assetId: DummyValue.UUID, - x1: DummyValue.NUMBER, - y1: DummyValue.NUMBER, - x2: DummyValue.NUMBER, - y2: DummyValue.NUMBER, - x3: DummyValue.NUMBER, - y3: DummyValue.NUMBER, - x4: DummyValue.NUMBER, - y4: DummyValue.NUMBER, - text: DummyValue.STRING, - boxScore: DummyValue.NUMBER, - textScore: DummyValue.NUMBER, - }, - ], - ], - }) upsert(assetId: string, ocrDataList: Insertable[]) { let query = this.db.with('deleted_ocr', (db) => db.deleteFrom('asset_ocr').where('assetId', '=', assetId)); if (ocrDataList.length > 0) { @@ -59,6 +38,10 @@ export class OcrRepository { .values({ assetId, text: searchText }) .onConflict((oc) => oc.column('assetId').doUpdateSet((eb) => ({ text: eb.ref('excluded.text') }))), ); + } else { + (query as any) = query.with('deleted_search', (db) => + db.deleteFrom('ocr_search').where('assetId', '=', assetId), + ); } return query.selectNoFrom(sql`1`.as('dummy')).execute(); diff --git a/server/test/medium.factory.ts b/server/test/medium.factory.ts index bb964dd3f0..d1187fc7b2 100644 --- a/server/test/medium.factory.ts +++ b/server/test/medium.factory.ts @@ -47,6 +47,7 @@ import { VersionHistoryRepository } from 'src/repositories/version-history.repos import { DB } from 'src/schema'; import { AlbumTable } from 'src/schema/tables/album.table'; import { AssetExifTable } from 'src/schema/tables/asset-exif.table'; +import { AssetFileTable } from 'src/schema/tables/asset-file.table'; import { AssetJobStatusTable } from 'src/schema/tables/asset-job-status.table'; import { AssetTable } from 'src/schema/tables/asset.table'; import { FaceSearchTable } from 'src/schema/tables/face-search.table'; @@ -167,6 +168,11 @@ export class MediumTestContext { return { asset, result }; } + async newAssetFile(dto: Insertable) { + const result = await this.get(AssetRepository).upsertFile(dto); + return { result }; + } + async newAssetFace(dto: Partial> & { assetId: string }) { const assetFace = mediumFactory.assetFaceInsert(dto); const result = await this.get(PersonRepository).createAssetFace(assetFace); @@ -339,7 +345,6 @@ const newMockRepository = (key: ClassConstructor) => { case AssetJobRepository: case ConfigRepository: case CryptoRepository: - case MachineLearningRepository: case MemoryRepository: case NotificationRepository: case OcrRepository: @@ -390,6 +395,10 @@ const newMockRepository = (key: ClassConstructor) => { return automock(LoggingRepository, { args: [undefined, configMock], strict: false }); } + case MachineLearningRepository: { + return automock(MachineLearningRepository, { args: [{ setContext: () => {} }] }); + } + case StorageRepository: { return automock(StorageRepository, { args: [{ setContext: () => {} }] }); } diff --git a/server/test/medium/specs/services/ocr.service.spec.ts b/server/test/medium/specs/services/ocr.service.spec.ts index cf51d980ec..45c34dd09e 100644 --- a/server/test/medium/specs/services/ocr.service.spec.ts +++ b/server/test/medium/specs/services/ocr.service.spec.ts @@ -1,10 +1,13 @@ import { Kysely } from 'kysely'; +import { AssetFileType, JobStatus } from 'src/enum'; import { AssetJobRepository } from 'src/repositories/asset-job.repository'; import { AssetRepository } from 'src/repositories/asset.repository'; +import { ConfigRepository } from 'src/repositories/config.repository'; import { JobRepository } from 'src/repositories/job.repository'; import { LoggingRepository } from 'src/repositories/logging.repository'; import { MachineLearningRepository } from 'src/repositories/machine-learning.repository'; import { OcrRepository } from 'src/repositories/ocr.repository'; +import { SystemMetadataRepository } from 'src/repositories/system-metadata.repository'; import { DB } from 'src/schema'; import { OcrService } from 'src/services/ocr.service'; import { newMediumService } from 'test/medium.factory'; @@ -15,8 +18,8 @@ let defaultDatabase: Kysely; const setup = (db?: Kysely) => { return newMediumService(OcrService, { database: db || defaultDatabase, - real: [AssetRepository, AssetJobRepository, JobRepository, OcrRepository], - mock: [LoggingRepository, MachineLearningRepository], + real: [AssetRepository, AssetJobRepository, ConfigRepository, OcrRepository, SystemMetadataRepository], + mock: [JobRepository, LoggingRepository, MachineLearningRepository], }); }; @@ -34,6 +37,7 @@ describe(OcrService.name, () => { const { sut, ctx } = setup(); const { user } = await ctx.newUser(); const { asset } = await ctx.newAsset({ ownerId: user.id }); + await ctx.newAssetFile({ assetId: asset.id, type: AssetFileType.Preview, path: 'preview.jpg' }); const machineLearningMock = ctx.getMock(MachineLearningRepository); machineLearningMock.ocr.mockResolvedValue({ @@ -43,7 +47,7 @@ describe(OcrService.name, () => { textScore: [0.95], }); - await expect(sut.handleOcr({ id: asset.id })).resolves.toBe('Success'); + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe(JobStatus.Success); const ocrRepository = ctx.get(OcrRepository); await expect(ocrRepository.getByAssetId(asset.id)).resolves.toEqual([ @@ -69,22 +73,30 @@ describe(OcrService.name, () => { assetId: asset.id, text: 'Test OCR', }); + await expect( + ctx.database + .selectFrom('asset_job_status') + .select('asset_job_status.ocrAt') + .where('assetId', '=', asset.id) + .executeTakeFirst(), + ).resolves.toEqual({ ocrAt: expect.any(Date) }); }); it('should handle multiple boxes', async () => { const { sut, ctx } = setup(); const { user } = await ctx.newUser(); const { asset } = await ctx.newAsset({ ownerId: user.id }); + await ctx.newAssetFile({ assetId: asset.id, type: AssetFileType.Preview, path: 'preview.jpg' }); const machineLearningMock = ctx.getMock(MachineLearningRepository); machineLearningMock.ocr.mockResolvedValue({ - box: Array.from({ length: 8 * 10 }, (_, i) => i), + box: Array.from({ length: 8 * 5 }, (_, i) => i), boxScore: [0.7, 0.67, 0.65, 0.62, 0.6], text: ['One', 'Two', 'Three', 'Four', 'Five'], textScore: [0.9, 0.89, 0.88, 0.87, 0.86], }); - await expect(sut.handleOcr({ id: asset.id })).resolves.toBe('Success'); + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe(JobStatus.Success); const ocrRepository = ctx.get(OcrRepository); await expect(ocrRepository.getByAssetId(asset.id)).resolves.toEqual([ @@ -168,7 +180,64 @@ describe(OcrService.name, () => { ctx.database.selectFrom('ocr_search').selectAll().where('assetId', '=', asset.id).executeTakeFirst(), ).resolves.toEqual({ assetId: asset.id, - text: 'One Two Three Four Fivee', + text: 'One Two Three Four Five', }); + await expect( + ctx.database + .selectFrom('asset_job_status') + .select('asset_job_status.ocrAt') + .where('assetId', '=', asset.id) + .executeTakeFirst(), + ).resolves.toEqual({ ocrAt: expect.any(Date) }); + }); + + it('should handle no boxes', async () => { + const { sut, ctx } = setup(); + const { user } = await ctx.newUser(); + const { asset } = await ctx.newAsset({ ownerId: user.id }); + await ctx.newAssetFile({ assetId: asset.id, type: AssetFileType.Preview, path: 'preview.jpg' }); + + const machineLearningMock = ctx.getMock(MachineLearningRepository); + machineLearningMock.ocr.mockResolvedValue({ box: [], boxScore: [], text: [], textScore: [] }); + + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe(JobStatus.Success); + + const ocrRepository = ctx.get(OcrRepository); + await expect(ocrRepository.getByAssetId(asset.id)).resolves.toEqual([]); + await expect( + ctx.database.selectFrom('ocr_search').selectAll().where('assetId', '=', asset.id).executeTakeFirst(), + ).resolves.toBeUndefined(); + await expect( + ctx.database + .selectFrom('asset_job_status') + .select('asset_job_status.ocrAt') + .where('assetId', '=', asset.id) + .executeTakeFirst(), + ).resolves.toEqual({ ocrAt: expect.any(Date) }); + }); + + it('should update existing results', async () => { + const { sut, ctx } = setup(); + const { user } = await ctx.newUser(); + const { asset } = await ctx.newAsset({ ownerId: user.id }); + await ctx.newAssetFile({ assetId: asset.id, type: AssetFileType.Preview, path: 'preview.jpg' }); + + const machineLearningMock = ctx.getMock(MachineLearningRepository); + machineLearningMock.ocr.mockResolvedValue({ + box: [10, 10, 50, 10, 50, 50, 10, 50], + boxScore: [0.99], + text: ['Test OCR'], + textScore: [0.95], + }); + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe(JobStatus.Success); + + machineLearningMock.ocr.mockResolvedValue({ box: [], boxScore: [], text: [], textScore: [] }); + await expect(sut.handleOcr({ id: asset.id })).resolves.toBe(JobStatus.Success); + + const ocrRepository = ctx.get(OcrRepository); + await expect(ocrRepository.getByAssetId(asset.id)).resolves.toEqual([]); + await expect( + ctx.database.selectFrom('ocr_search').selectAll().where('assetId', '=', asset.id).executeTakeFirst(), + ).resolves.toBeUndefined(); }); }); From d7cc9acf84e2e89e355fe4dcea14607d77416e2b Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 15:46:28 -0400 Subject: [PATCH 41/44] format web --- .../admin-settings/MachineLearningSettings.svelte | 6 ++++-- web/src/lib/constants.ts | 7 +------ .../search/[[photos=photos]]/[[assetId=id]]/+page.svelte | 2 +- 3 files changed, 6 insertions(+), 9 deletions(-) diff --git a/web/src/lib/components/admin-settings/MachineLearningSettings.svelte b/web/src/lib/components/admin-settings/MachineLearningSettings.svelte index dfecaecb29..7649ee8d17 100644 --- a/web/src/lib/components/admin-settings/MachineLearningSettings.svelte +++ b/web/src/lib/components/admin-settings/MachineLearningSettings.svelte @@ -291,7 +291,8 @@ min={0.1} max={1} disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled} - isEdited={config.machineLearning.ocr.minDetectionScore !== savedConfig.machineLearning.ocr.minDetectionScore} + isEdited={config.machineLearning.ocr.minDetectionScore !== + savedConfig.machineLearning.ocr.minDetectionScore} /> Date: Wed, 15 Oct 2025 15:51:49 -0400 Subject: [PATCH 42/44] readd sql --- server/src/repositories/ocr.repository.ts | 25 ++++++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) diff --git a/server/src/repositories/ocr.repository.ts b/server/src/repositories/ocr.repository.ts index 6375c1827e..1da9a96ec5 100644 --- a/server/src/repositories/ocr.repository.ts +++ b/server/src/repositories/ocr.repository.ts @@ -26,6 +26,27 @@ export class OcrRepository { }); } + @GenerateSql({ + params: [ + DummyValue.UUID, + [ + { + assetId: DummyValue.UUID, + x1: DummyValue.NUMBER, + y1: DummyValue.NUMBER, + x2: DummyValue.NUMBER, + y2: DummyValue.NUMBER, + x3: DummyValue.NUMBER, + y3: DummyValue.NUMBER, + x4: DummyValue.NUMBER, + y4: DummyValue.NUMBER, + text: DummyValue.STRING, + boxScore: DummyValue.NUMBER, + textScore: DummyValue.NUMBER, + }, + ], + ], + }) upsert(assetId: string, ocrDataList: Insertable[]) { let query = this.db.with('deleted_ocr', (db) => db.deleteFrom('asset_ocr').where('assetId', '=', assetId)); if (ocrDataList.length > 0) { @@ -39,9 +60,7 @@ export class OcrRepository { .onConflict((oc) => oc.column('assetId').doUpdateSet((eb) => ({ text: eb.ref('excluded.text') }))), ); } else { - (query as any) = query.with('deleted_search', (db) => - db.deleteFrom('ocr_search').where('assetId', '=', assetId), - ); + (query as any) = query.with('deleted_search', (db) => db.deleteFrom('ocr_search').where('assetId', '=', assetId)); } return query.selectNoFrom(sql`1`.as('dummy')).execute(); From 65b98e24bff60f2792d9a7118237dd0fbe73819d Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 15:57:37 -0400 Subject: [PATCH 43/44] format dart --- mobile/lib/pages/search/search.page.dart | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/mobile/lib/pages/search/search.page.dart b/mobile/lib/pages/search/search.page.dart index 53038230e6..7623829b51 100644 --- a/mobile/lib/pages/search/search.page.dart +++ b/mobile/lib/pages/search/search.page.dart @@ -411,7 +411,7 @@ class SearchPage extends HookConsumerWidget { TextSearchType.context => Icons.image_search_rounded, TextSearchType.filename => Icons.abc_rounded, TextSearchType.description => Icons.text_snippet_outlined, - TextSearchType.ocr => Icons.document_scanner_outlined + TextSearchType.ocr => Icons.document_scanner_outlined, }; return Scaffold( @@ -504,9 +504,7 @@ class SearchPage extends HookConsumerWidget { 'search_filter_ocr'.tr(), style: context.textTheme.bodyLarge?.copyWith( fontWeight: FontWeight.w500, - color: textSearchType.value == TextSearchType.ocr - ? context.colorScheme.primary - : null, + color: textSearchType.value == TextSearchType.ocr ? context.colorScheme.primary : null, ), ), selectedColor: context.colorScheme.primary, From a6c59ab387f893ff94f523b2d86e22f7d0ada660 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Wed, 15 Oct 2025 16:08:16 -0400 Subject: [PATCH 44/44] disabled in e2e --- e2e/src/api/specs/server.e2e-spec.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/e2e/src/api/specs/server.e2e-spec.ts b/e2e/src/api/specs/server.e2e-spec.ts index 1336ec92fb..adf2526856 100644 --- a/e2e/src/api/specs/server.e2e-spec.ts +++ b/e2e/src/api/specs/server.e2e-spec.ts @@ -113,7 +113,7 @@ describe('/server', () => { importFaces: false, oauth: false, oauthAutoLaunch: false, - ocr: true, + ocr: false, passwordLogin: true, search: true, sidecar: true,