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YOLO-NAS and DeepSORT | Object detection and tracking

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Object Tracking Using YOLO-NAS and DeepSORT:
The detections generated by yolo-NAS models pretrained on the COCO dataset, are passed to DeepSORT in order to tracks the objects. It can track any object that your YOLO-NAS model was trained to detect.
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To obtain the tracks or results from the DeepSORT model, you need to call the update() method of the DeepSORT instance with the appropriate inputs (bounding boxes, confidences, and the original image). The update() method will perform object tracking and return the tracks or results.
#computervision #objectdetection #objecttracking #yolonas #yolo-nas #deepsort #yolo
The detections generated by yolo-NAS models pretrained on the COCO dataset, are passed to DeepSORT in order to tracks the objects. It can track any object that your YOLO-NAS model was trained to detect.
#######################################################
############################################################
To obtain the tracks or results from the DeepSORT model, you need to call the update() method of the DeepSORT instance with the appropriate inputs (bounding boxes, confidences, and the original image). The update() method will perform object tracking and return the tracks or results.
#computervision #objectdetection #objecttracking #yolonas #yolo-nas #deepsort #yolo
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