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shaadclt / repository
This Jupyter notebook project uses YOLOv8 for vehicle tracking and implements a line crossing detection algorithm. The system counts vehicles that cross a specified line in a video, annotates the frames, and generates an output video with visualizations.
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This Jupyter notebook project uses YOLOv8 for vehicle tracking and implements a line crossing detection algorithm. The system counts vehicles that cross a specified line in a video, annotates the frames, and generates an output video with visualizations.
git clone https://github.com/shaadclt/Vehicle-Counter-YOLOv8.git
cd Vehicle-Counter-YOLOv8
jupyter notebook
The output video output_single_line.mp4 will be generated with annotated frames showing object tracks and the count of objects that crossed the line.
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