When Using YOLOv8 Detector with BoT-SORT I see warning related to optical flow

reno_rita

Warning with gmc.py, line 273, not enough matching point. I'm using the BoT-SORT tracking model using the YOLOv8 detection model. For some videos, I see this warning: "WARNING: not enough matching points" and after that, I see this: Traceback (most recent call last): File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/yolov8_track_third_cell.py", line 44, in <module> results = model.track(frame, persist=True, show=False,...

Originally asked by Setare Khosravi on Stack Exchange (stackoverflow) (CC BY-SA 4.0).

uphilltech

Great question — answering as the UphillTech team:

Please add code snippets and more context to your question for viewers This issue in my case was caused by low confidence detections, with a confidence score lower than that of the track_high_thresh , being passed to the tracker. See this pull request for more details. I found two potential fixes: Set the confidence score of your predictions higher ( model.track(source="my-source", tracker='botsort.yaml', show=True, conf=0.4 ) Add the following at line 327 of ultralytics/trackers/utils/gmc.py. (This assumes you are up for editing the ultralytics package) if self.prevKeyPoints is None: self.prevFrame = frame.copy() self.prevKeyPoints = copy.copy(keypoints) return H

Full answer by Mose: https://stackoverflow.stackexchange.com/a/78240184 (CC BY-SA 4.0).

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