PyTorch - Object Detection and Tracking
This session starts with the basics of object detection and tracking process. This session also provides the information about the coco dataset and its usage for object detection. This session is based on yolo based architecture to detect the object detection. This session provides the step by step implementation using open image frame capture, converting image frame into tensor array, process to get object detection with coordinates.
