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* Add cutoff for object classification * Add selector for classifiction model type * Improve model selection view * Clean up design of classification card * Tweaks * Adjust button colors * Improvements to gradients and making face library consistent * Add basic classification model wizard * Use relative coordinates * Properly get resolution * Clean up exports * Cleanup * Cleanup * Update to use pre-defined component for image shadow * Refactor image grouping * Clean up mobile * Clean up decision logic * Remove max check on classification objects * Increase default number of faces shown * Cleanup * Improve mobile layout * Clenaup * Update vocabulary * Fix layout * Fix page * Cleanup * Choose last item for unknown objects * Move explore button * Cleanup grid * Cleanup classification * Cleanup grid * Cleanup * Set transparency * Set unknown * Don't filter all configs * Check length
36 lines
1.2 KiB
JSON
36 lines
1.2 KiB
JSON
{
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"label": "Face recognition config.",
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"properties": {
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"enabled": {
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"label": "Enable face recognition."
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},
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"model_size": {
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"label": "The size of the embeddings model used."
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},
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"unknown_score": {
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"label": "Minimum face distance score required to be marked as a potential match."
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},
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"detection_threshold": {
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"label": "Minimum face detection score required to be considered a face."
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},
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"recognition_threshold": {
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"label": "Minimum face distance score required to be considered a match."
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},
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"min_area": {
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"label": "Min area of face box to consider running face recognition."
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},
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"min_faces": {
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"label": "Min face recognitions for the sub label to be applied to the person object."
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},
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"save_attempts": {
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"label": "Number of face attempts to save in the recent recognitions tab."
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},
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"blur_confidence_filter": {
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"label": "Apply blur quality filter to face confidence."
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},
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"device": {
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"label": "The device key to use for face recognition.",
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"description": "This is an override, to target a specific device. See https://onnxruntime.ai/docs/execution-providers/ for more information"
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}
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}
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} |