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https://github.com/immich-app/immich
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feat: ocr (#18836)
* feat: add OCR functionality and related configurations * chore: update labeler configuration for machine learning files * feat(i18n): enhance OCR model descriptions and add orientation classification and unwarping features * chore: update Dockerfile to include ccache for improved build performance * feat(ocr): enhance OCR model configuration with orientation classification and unwarping options, update PaddleOCR integration, and improve response structure * refactor(ocr): remove OCR_CLEANUP job from enum and type definitions * refactor(ocr): remove obsolete OCR entity and migration files, and update asset job status and schema to accommodate new OCR table structure * refactor(ocr): update OCR schema and response structure to use individual coordinates instead of bounding box, and adjust related service and repository files * 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. * sql changes * use rapidocr * change dto * update web * update lock * update api * store positions as normalized floats * match column order in db * update admin ui settings descriptions fix max resolution key set min threshold to 0.1 fix bind * apply config correctly, adjust defaults * unnecessary model type * unnecessary sources * fix(ocr): switch RapidOCR lang type from LangDet to LangRec * fix(ocr): expose lang_type (LangRec.CH) and font_path on OcrOptions for RapidOCR * fix(ocr): make OCR text search case- and accent-insensitive using ILIKE + unaccent * fix(ocr): add OCR search fields * fix: Add OCR database migration and update ML prediction logic. * trigrams are already case insensitive * add tests * format * update migrations * wrong uuid function * linting * maybe fix medium tests * formatting * fix weblate check * openapi * sql * minor fixes * maybe fix medium tests part 2 * passing medium tests * format web * readd sql * format dart * disabled in e2e * chore: translation ordering --------- Co-authored-by: mertalev <101130780+mertalev@users.noreply.github.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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90 changed files with 3610 additions and 1722 deletions
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@ -31,6 +31,7 @@
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JobName.VideoConversion,
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JobName.StorageTemplateMigration,
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JobName.Migration,
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JobName.Ocr,
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];
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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@ -254,6 +254,71 @@
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</div>
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</SettingAccordion>
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<SettingAccordion
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key="ocr"
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title={$t('admin.machine_learning_ocr')}
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subtitle={$t('admin.machine_learning_ocr_description')}
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>
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<div class="ml-4 mt-4 flex flex-col gap-4">
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<SettingSwitch
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title={$t('admin.machine_learning_ocr_enabled')}
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subtitle={$t('admin.machine_learning_ocr_enabled_description')}
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bind:checked={config.machineLearning.ocr.enabled}
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disabled={disabled || !config.machineLearning.enabled}
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/>
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<hr />
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<SettingSelect
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label={$t('admin.machine_learning_ocr_model')}
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desc={$t('admin.machine_learning_ocr_model_description')}
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name="ocr-model"
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bind:value={config.machineLearning.ocr.modelName}
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options={[
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{ value: 'PP-OCRv5_server', text: 'PP-OCRv5_server' },
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{ value: 'PP-OCRv5_mobile', text: 'PP-OCRv5_mobile' },
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]}
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disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled}
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isEdited={config.machineLearning.ocr.modelName !== savedConfig.machineLearning.ocr.modelName}
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/>
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label={$t('admin.machine_learning_ocr_min_detection_score')}
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description={$t('admin.machine_learning_ocr_min_detection_score_description')}
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bind:value={config.machineLearning.ocr.minDetectionScore}
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step="0.1"
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min={0.1}
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max={1}
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disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled}
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isEdited={config.machineLearning.ocr.minDetectionScore !==
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savedConfig.machineLearning.ocr.minDetectionScore}
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/>
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label={$t('admin.machine_learning_ocr_min_recognition_score')}
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description={$t('admin.machine_learning_ocr_min_score_recognition_description')}
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bind:value={config.machineLearning.ocr.minRecognitionScore}
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step="0.1"
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min={0.1}
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max={1}
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disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled}
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isEdited={config.machineLearning.ocr.minRecognitionScore !==
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savedConfig.machineLearning.ocr.minRecognitionScore}
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/>
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label={$t('admin.machine_learning_ocr_max_resolution')}
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description={$t('admin.machine_learning_ocr_max_resolution_description')}
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bind:value={config.machineLearning.ocr.maxResolution}
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min={1}
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disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.ocr.enabled}
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isEdited={config.machineLearning.ocr.maxResolution !== savedConfig.machineLearning.ocr.maxResolution}
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/>
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</div>
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</SettingAccordion>
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<SettingButtonsRow
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onReset={(options) => onReset({ ...options, configKeys: ['machineLearning'] })}
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onSave={() => onSave({ machineLearning: config.machineLearning })}
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@ -19,6 +19,7 @@
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mdiTable,
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mdiTagFaces,
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mdiVideo,
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mdiOcr,
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} from '@mdi/js';
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import type { Component } from 'svelte';
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import { t } from 'svelte-i18n';
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@ -124,6 +125,14 @@
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handleCommand: handleConfirmCommand,
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disabled: !$featureFlags.facialRecognition,
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},
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[JobName.Ocr]: {
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icon: mdiOcr,
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title: $getJobName(JobName.Ocr),
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subtitle: $t('admin.ocr_job_description'),
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allText: $t('all'),
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missingText: $t('missing'),
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disabled: !$featureFlags.ocr,
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},
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[JobName.VideoConversion]: {
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icon: mdiVideo,
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title: $getJobName(JobName.VideoConversion),
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@ -107,7 +107,7 @@
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const onSubmit = () => {
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const searchType = getSearchType();
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let payload: SmartSearchDto | MetadataSearchDto = {} as SmartSearchDto | MetadataSearchDto;
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let payload = {} as SmartSearchDto | MetadataSearchDto;
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switch (searchType) {
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case 'smart': {
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@ -122,6 +122,10 @@
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payload = { description: value } as MetadataSearchDto;
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break;
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}
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case 'ocr': {
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payload = { ocr: value } as MetadataSearchDto;
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break;
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}
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}
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handlePromiseError(handleSearch(payload));
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@ -171,17 +175,14 @@
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onSubmit();
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};
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function getSearchType(): 'smart' | 'metadata' | 'description' {
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function getSearchType() {
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const searchType = localStorage.getItem('searchQueryType');
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switch (searchType) {
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case 'smart': {
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return 'smart';
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}
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case 'metadata': {
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return 'metadata';
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}
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case 'description': {
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return 'description';
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case 'smart':
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case 'metadata':
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case 'description':
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case 'ocr': {
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return searchType;
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}
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default: {
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return 'smart';
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case 'description': {
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return $t('description');
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}
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case 'ocr': {
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return $t('ocr');
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}
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}
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}
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</script>
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@ -4,7 +4,7 @@
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interface Props {
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query: string | undefined;
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queryType?: 'smart' | 'metadata' | 'description';
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queryType?: 'smart' | 'metadata' | 'description' | 'ocr';
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}
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let { query = $bindable(), queryType = $bindable('smart') }: Props = $props();
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bind:group={queryType}
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value="description"
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/>
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<RadioButton name="query-type" id="ocr-radio" label={$t('ocr')} bind:group={queryType} value="ocr" />
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</div>
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</fieldset>
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bind:value={query}
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aria-labelledby="description-label"
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/>
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{:else if queryType === 'ocr'}
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<label for="ocr-input" class="immich-form-label">{$t('search_by_ocr')}</label>
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<input
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class="immich-form-input hover:cursor-text w-full !mt-1"
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type="text"
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id="ocr-input"
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name="ocr"
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placeholder={$t('search_by_ocr_example')}
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bind:value={query}
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aria-labelledby="ocr-label"
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/>
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{/if}
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