RizwanMunawar/yolov7-object-tracking
A YOLOv7-based object tracking system using PyTorch, OpenCV, and SORT tracking algorithm to track detected objects across video frames.
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The repository implements object tracking by combining YOLOv7/YOLOv8 deep learning object detection with the SORT tracking algorithm. It processes video streams or images to detect objects, assign unique IDs, and maintain consistent tracking across frames. The project provides Jupyter notebooks for running the tracker on Google Colab, Kaggle, and SageMaker Studio Lab.
Frequently asked
- What is RizwanMunawar/yolov7-object-tracking?
- A YOLOv7-based object tracking system using PyTorch, OpenCV, and SORT tracking algorithm to track detected objects across video frames.
- Is yolov7-object-tracking open source?
- Yes — RizwanMunawar/yolov7-object-tracking is open source, released under the AGPL-3.0 license.
- What language is yolov7-object-tracking written in?
- RizwanMunawar/yolov7-object-tracking is primarily written in Python.
- How popular is yolov7-object-tracking?
- RizwanMunawar/yolov7-object-tracking has 653 stars on GitHub.
- Where can I find yolov7-object-tracking?
- RizwanMunawar/yolov7-object-tracking is on GitHub at https://github.com/RizwanMunawar/yolov7-object-tracking.