Generic Classifier
Retrieves classifier results based on the similarity of text prompts and the images of objects in a ROI, or of a ROI image contents.
Overview
The Generic Classifier node is designed to retrieve classifier results by analyzing the similarity of text prompts and the images of objects within a Region of Interest (ROI), or the contents of a ROI image. This functionality is useful for applications requiring detailed classification of objects or areas within a video feed.
Inputs & Outputs
- Inputs: 1, Media Format: Raw Video
- Outputs: 1, Media Format: Raw Video
- Output Metadata:
nodes.node_id,recognized_objs,recognized_obj_ids,recognized_obj_count,recognized_obj_delta,value_changed_delta,unrecognized_obj_count,unrecognized_obj_delta
Properties
| Property | Description | Type | Default | Required |
|---|---|---|---|---|
| roi_labels | Regions of interest labels | hidden | Yes | |
| rois | Regions of interest. Type: polygon. Default: null. Conditional on roi_labels. | polygon | null | Yes |
| processing_mode | Processing mode. Options: ROIs, at an Interval (rois_interval), ROIs, upon a Trigger (rois_trigger), Objects in an ROI (objects). | enum | rois_interval | Yes |
| trigger | Trigger Condition. Queue ROI for lookup when this condition evaluates to true. Conditional on processing_mode being rois_trigger. | trigger-condition | null | |
| objects_to_process | Object types to process. ex. car,person,car.red. Conditional on processing_mode being objects. | model-label | null | |
| min_obj_size_pixels | Min. width and height of an object. Conditional on processing_mode being objects. | number | 64 | |
| obj_lookup_size_change_threshold | Object size ratio change threshold. Slider min: 0.1, max: 2.0, step: 0.2. Conditional on processing_mode being objects. | slider | 0.1 | |
| max_lookups_per_obj | Max. attempts per object. Conditional on processing_mode being objects. | number | 5 | |
| input_text | Class descriptions and labels. Format: <description>=<label>. | text | null | |
| min_similarity_threshold | Minimum similarity threshold. Slider min: 0, max: 1.0, step: 0.05. | slider | 0.2 | Yes |
| interval | Lookup interval in seconds. | number | 1 | |
| classifier_model | Classifier model accuracy. Options: Default (default-classifier-model), High accuracy (high-classifier-model). | enum | default-classifier-model | |
| display_roi | Display ROI on video? | bool | true | |
| display_objinfo | Display results on video? Options: Disabled (disabled), Bottom left (bottom_left), Bottom right (bottom_right), Top left (top_left), Top right (top_right). | enum | bottom_left | |
| debug | Log debugging information? | bool | false |
Metadata
The output metadata includes detailed information about the classification results, such as the types of objects recognized, their counts, and any changes in their recognition status. This allows for a comprehensive understanding of the scene being analyzed.
Output Metadata
| Metadata Property | Description |
|---|---|
nodes.[node_id].rois.[roi_id].label_changed_delta | Indicates if there has been a change in the label of the ROI. |
nodes.[node_id].rois.[roi_id].label_available | Indicates if a label is available for the ROI. |
nodes.[node_id].recognized_obj_count | The count of recognized objects. |
nodes.[node_id].recognized_obj_delta | The change in the count of recognized objects. |
nodes.[node_id].label_changed_obj_delta | The change in the count of objects with changed labels. |
nodes.[node_id].unrecognized_obj_count | The count of unrecognized objects. |
nodes.[node_id].unrecognized_obj_delta | The change in the count of unrecognized objects. |
Example JSON
Updated about 1 month ago