Use YOLOv4 for real-time multi-object tracking, which can be applied to various fields such as monitoring systems and traffic flow analysis.
os.system("start src/darknet/build/darknet/x64/yolo_console_dll.exe data/coco.names model/yolov4.cfg model/yolov4.weights data/test.mp4 true")
- data/coco.names : Define the category name.
- model/yolov4.cfg : The cfg of the model includes the parameter setting of the model structure and so on.
- model/yolov4.weights : Model files.
- data/test.mp4 : Tested videos.
- true : Use kalman_filter, applied to a fixed camera.
If you want to track your own objects, you can train the object detection model through other solutions, and then track them through this solution.
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