RizwanMunawar/yolov7-object-tracking
A YOLOv7-based object tracking system using PyTorch, OpenCV, and SORT tracking algorithm to track detected objects across video frames.

Velocity · 7d
+0.5
★ / day
Trend
→steady
star history
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.