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45 lines
1.7 KiB
JSON
45 lines
1.7 KiB
JSON
{
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"label": "Detection model",
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"description": "Settings to configure a custom object detection model, its input shape, and labelmap overrides.",
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"path": {
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"label": "Custom Object detection model path",
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"description": "Path to a custom detection model file (or plus://<model_id> for Frigate+ models)."
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},
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"labelmap_path": {
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"label": "Label map for custom object detector",
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"description": "Path to a labelmap file that maps numeric classes to string labels for the detector."
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},
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"width": {
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"label": "Object detection model input width",
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"description": "Width of the model input tensor in pixels."
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},
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"height": {
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"label": "Object detection model input height",
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"description": "Height of the model input tensor in pixels."
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},
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"labelmap": {
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"label": "Labelmap customization",
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"description": "Overrides or remapping entries to merge into the standard labelmap."
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},
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"attributes_map": {
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"label": "Map of object labels to their attribute labels",
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"description": "Mapping from object labels to attribute labels used to attach metadata (for example 'car' -> ['license_plate'])."
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},
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"input_tensor": {
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"label": "Model Input Tensor Shape",
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"description": "Tensor format expected by the model: 'nhwc' or 'nchw'."
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},
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"input_pixel_format": {
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"label": "Model Input Pixel Color Format",
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"description": "Pixel colorspace expected by the model: 'rgb', 'bgr', or 'yuv'."
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},
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"input_dtype": {
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"label": "Model Input D Type",
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"description": "Data type of the model input tensor (for example 'float32')."
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},
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"model_type": {
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"label": "Object Detection Model Type",
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"description": "Detector model architecture type (ssd, yolox, yolonas) used by some detectors for optimization."
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}
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}
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