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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, tracker="botsort.yaml", conf= 0, iou = 0.5) # predict on an image
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/engine/model.py", line 262, in track
return self.predict(source=source, stream=stream, **kwargs)
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/engine/model.py", line 242, in predict
return self.predictor.predict_cli(source=source) if is_cli else self.predictor(source=source, stream=stream)
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/engine/predictor.py", line 196, in __call__
return list(self.stream_inference(source, model, *args, **kwargs)) # merge list of Result into one
File "/home/strh/anaconda3/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 35, in generator_context
response = gen.send(None)
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/engine/predictor.py", line 264, in stream_inference
self.run_callbacks('on_predict_postprocess_end')
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/engine/predictor.py", line 358, in run_callbacks
callback(self)
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/trackers/track.py", line 48, in on_predict_postprocess_end
tracks = predictor.trackers[i].update(det, im0s[i])
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/trackers/byte_tracker.py", line 278, in update
warp = self.gmc.apply(img, dets)
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/trackers/utils/gmc.py", line 85, in apply
return self.applySparseOptFlow(raw_frame, detections)
File "/media/strh/MyDrive/Track/vision-YOLOv8_Evolve/vision/ultralytics/ultralytics/trackers/utils/gmc.py", line 273, in applySparseOptFlow
matchedKeypoints, status, err = cv2.calcOpticalFlowPyrLK(self.prevFrame, frame, self.prevKeyPoints, None)
cv2.error: OpenCV(4.6.0) /croot/opencv-suite_1676452025216/work/modules/video/src/lkpyramid.cpp:1260: error: (-215:Assertion failed) (npoints = prevPtsMat.checkVector(2, CV_32F, true)) >= 0 in function 'calc'
Please help me to solve the problem.
The text was updated successfully, but these errors were encountered:
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:
Please help me to solve the problem.
The text was updated successfully, but these errors were encountered: