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YOLOv8 model is still CV's best performing model on drivable area and potholes. So in order to be able to compare the YOLOv8 model and our custom PyTorch we need to measure the performance of our YOLO model on the same metrics we use for PyTorch performance.
Check out the segmentation-compare.py in the yolo_stack repo for a starting point.
The text was updated successfully, but these errors were encountered:
YOLOv8 model is still CV's best performing model on drivable area and potholes. So in order to be able to compare the YOLOv8 model and our custom PyTorch we need to measure the performance of our YOLO model on the same metrics we use for PyTorch performance.
Check out the segmentation-compare.py in the yolo_stack repo for a starting point.
The text was updated successfully, but these errors were encountered: