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Object tracking is a deep learning process where the algorithm tracks the movement of an object. In other words, it is the task of estimating or predicting the positions and other relevant information of moving objects in a video. Object tracking usually involves the process of object detection.

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OBJECT TRACKING + VEHICLE COUNTING USING DEEPSORT + YOLOV5

To setup this model in your local PC you have to follow these steps

  1. Clone this Repository

    https://github.com/shibam120302/Object-Tracking-Counter

  2. Clone the Yolov5 Repository this Object-Tracking-Counter Folder

    !git clone https://github.com/ultralytics/yolov5

  3. Download DeepSort file from the link given below and paste the deep_sort folder in Object-Tracking-Counter Folder

    https://drive.google.com/drive/folders/1vjE8z5OVP1ybfaIey3BDBE7Q7SYfYePh?usp=sharing

  4. Run this command in CLI in the same folder

    python tracker.py --source video.mp4 --weights yolov5s.pt --show-vid

If you want to save your video then add --save-vid command it wil save your video into runs folder

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Object tracking is a deep learning process where the algorithm tracks the movement of an object. In other words, it is the task of estimating or predicting the positions and other relevant information of moving objects in a video. Object tracking usually involves the process of object detection.

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