mirror of
https://github.com/immich-app/immich.git
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feat(web): translations (#9854)
* First test * Added translation using Weblate (French) * Translated using Weblate (German) Currently translated at 100.0% (4 of 4 strings) Translation: immich/web Translate-URL: http://familie-mach.net/projects/immich/web/de/ * Translated using Weblate (French) Currently translated at 100.0% (4 of 4 strings) Translation: immich/web Translate-URL: http://familie-mach.net/projects/immich/web/fr/ * Further testing * Further testing * Translated using Weblate (German) Currently translated at 100.0% (18 of 18 strings) Translation: immich/web Translate-URL: http://familie-mach.net/projects/immich/web/de/ * Further work * Update string file. * More strings * Automatically changed strings * Add automatically translated german file for testing purposes * Fix merge-face-selector component * Make server stats strings uppercase * Fix uppercase string * Fix some strings in jobs-panel * Fix lower and uppercase strings. Add a few additional string. Fix a few unnecessary replacements * Update german test translations * Fix typo in locales file * Change string keys * Extract more strings * Extract and replace some more strings * Update testtranslationfile * Change translation keys * Fix rebase errors * Fix one more rebase error * Remove german translation file * Co-authored-by: Daniel Dietzler <danieldietzler@users.noreply.github.com> * chore: clean up translations * chore: add new line * fix formatting * chore: fixes * fix: loading and tests --------- Co-authored-by: root <root@Blacki> Co-authored-by: admin <admin@example.com> Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Daniel Dietzler <mail@ddietzler.dev>
This commit is contained in:
Manic-87
@@ -12,6 +12,7 @@
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import SettingSelect from '$lib/components/shared-components/settings/setting-select.svelte';
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import SettingSwitch from '$lib/components/shared-components/settings/setting-switch.svelte';
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import { featureFlags } from '$lib/stores/server-config.store';
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import { t } from 'svelte-i18n';
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export let savedConfig: SystemConfigDto;
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export let defaultConfig: SystemConfigDto;
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@@ -26,8 +27,8 @@
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<form autocomplete="off" on:submit|preventDefault class="mx-4 mt-4">
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<div class="flex flex-col gap-4">
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<SettingSwitch
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title="ENABLED"
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subtitle="If disabled, all ML features will be disabled regardless of the below settings."
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title={$t('enabled').toUpperCase()}
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subtitle={$t('admin.machine_learning_enabled_description')}
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{disabled}
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bind:checked={config.machineLearning.enabled}
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/>
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@@ -36,8 +37,8 @@
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<SettingInputField
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inputType={SettingInputFieldType.TEXT}
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label="URL"
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desc="URL of the machine learning server"
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label={$t('url').toUpperCase()}
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desc={$t('admin.machine_learning_url_description')}
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bind:value={config.machineLearning.url}
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required={true}
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disabled={disabled || !config.machineLearning.enabled}
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@@ -47,13 +48,13 @@
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<SettingAccordion
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key="smart-search"
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title="Smart Search"
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subtitle="Search for images semantically using CLIP embeddings"
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title={$t('admin.machine_learning_smart_search')}
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subtitle={$t('admin.machine_learning_smart_search_description')}
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>
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<div class="ml-4 mt-4 flex flex-col gap-4">
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<SettingSwitch
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title="ENABLED"
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subtitle="If disabled, images will not be encoded for smart search."
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title={$t('enabled').toUpperCase()}
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subtitle={$t('admin.machine_learning_smart_search_enabled_description')}
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bind:checked={config.machineLearning.clip.enabled}
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disabled={disabled || !config.machineLearning.enabled}
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/>
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@@ -62,7 +63,7 @@
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<SettingInputField
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inputType={SettingInputFieldType.TEXT}
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label="CLIP MODEL"
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label={$t('admin.machine_learning_clip_model').toUpperCase()}
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bind:value={config.machineLearning.clip.modelName}
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required={true}
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disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.clip.enabled}
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@@ -78,13 +79,13 @@
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<SettingAccordion
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key="duplicate-detection"
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title="Duplicate Detection"
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subtitle="Use CLIP embeddings to find likely duplicates"
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title={$t('admin.machine_learning_duplicate_detection')}
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subtitle={$t('admin.machine_learning_duplicate_detection_setting_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="ENABLED"
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subtitle="If disabled, exactly identical assets will still be de-duplicated."
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title={$t('enabled').toUpperCase()}
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subtitle={$t('admin.machine_learning_duplicate_detection_enabled_description')}
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bind:checked={config.machineLearning.duplicateDetection.enabled}
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disabled={disabled || !config.machineLearning.enabled || !config.machineLearning.clip.enabled}
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/>
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@@ -93,12 +94,12 @@
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label="MAX DETECTION DISTANCE"
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label={$t('admin.machine_learning_max_detection_distance').toUpperCase()}
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bind:value={config.machineLearning.duplicateDetection.maxDistance}
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step="0.0005"
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min={0.001}
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max={0.1}
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desc="Maximum distance between two images to consider them duplicates, ranging from 0.001-0.1. Higher values will detect more duplicates, but may result in false positives."
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desc={$t('admin.machine_learning_max_detection_distance_description')}
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disabled={disabled || !$featureFlags.duplicateDetection}
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isEdited={config.machineLearning.duplicateDetection.maxDistance !==
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savedConfig.machineLearning.duplicateDetection.maxDistance}
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@@ -108,13 +109,13 @@
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<SettingAccordion
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key="facial-recognition"
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title="Facial Recognition"
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subtitle="Detect, recognize and group faces in images"
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title={$t('admin.machine_learning_facial_recognition')}
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subtitle={$t('admin.machine_learning_facial_recognition_description')}
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>
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<div class="ml-4 mt-4 flex flex-col gap-4">
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<SettingSwitch
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title="ENABLED"
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subtitle="If disabled, images will not be encoded for facial recognition and will not populate the People section in the Explore page."
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title={$t('enabled').toUpperCase()}
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subtitle={$t('admin.machine_learning_facial_recognition_setting_description')}
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bind:checked={config.machineLearning.facialRecognition.enabled}
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disabled={disabled || !config.machineLearning.enabled}
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/>
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@@ -122,8 +123,8 @@
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<hr />
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<SettingSelect
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label="FACIAL RECOGNITION MODEL"
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desc="Models are listed in descending order of size. Larger models are slower and use more memory, but produce better results. Note that you must re-run the Face Detection job for all images upon changing a model."
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label={$t('admin.machine_learning_facial_recognition_model').toUpperCase()}
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desc={$t('admin.machine_learning_facial_recognition_model_description')}
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name="facial-recognition-model"
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bind:value={config.machineLearning.facialRecognition.modelName}
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options={[
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@@ -139,8 +140,8 @@
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label="MIN DETECTION SCORE"
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desc="Minimum confidence score for a face to be detected from 0-1. Lower values will detect more faces but may result in false positives."
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label={$t('admin.machine_learning_min_detection_score').toUpperCase()}
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desc={$t('admin.machine_learning_min_detection_score_description')}
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bind:value={config.machineLearning.facialRecognition.minScore}
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step="0.1"
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min={0}
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@@ -152,8 +153,8 @@
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label="MAX RECOGNITION DISTANCE"
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desc="Maximum distance between two faces to be considered the same person, ranging from 0-2. Lowering this can prevent labeling two people as the same person, while raising it can prevent labeling the same person as two different people. Note that it is easier to merge two people than to split one person in two, so err on the side of a lower threshold when possible."
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label={$t('admin.machine_learning_max_recognition_distance').toUpperCase()}
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desc={$t('admin.machine_learning_max_recognition_distance_description')}
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bind:value={config.machineLearning.facialRecognition.maxDistance}
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step="0.1"
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min={0}
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@@ -165,8 +166,8 @@
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<SettingInputField
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inputType={SettingInputFieldType.NUMBER}
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label="MIN RECOGNIZED FACES"
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desc="The minimum number of recognized faces for a person to be created. Increasing this makes Facial Recognition more precise at the cost of increasing the chance that a face is not assigned to a person."
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label={$t('admin.machine_learning_min_recognized_faces').toUpperCase()}
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desc={$t('admin.machine_learning_min_recognized_faces_description')}
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bind:value={config.machineLearning.facialRecognition.minFaces}
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step="1"
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min={1}
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