Error occur when using my own video about vehicle-detection-and-tracking HOT 15 CLOSED

@zhangyuan1997, thanks a lot for bringing this up. It could well be a bug. I will look into it. Meanwhile, could you try commenting out the line 147 to see if it works? Alternatively you can add if len(track_id_list) > 0: tmp_trk.id = track_id_lst.popleft() to avoid popping an empty list.

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@zhangyuan1997, thanks a lot for bringing this up. It could well be a bug. I will look into it. Meanwhile, could you try commenting out the line 147 to see if it works? Alternatively you can add if len(track_id_list) > 0: tmp_trk.id = track_id_lst.popleft() to avoid popping an empty list.

Thanks a lot.I will try to debug with your method. The same error occurred (pop from an empty deque) when I used other video to test, but it happened at 198th frame.

Thanks a lot for your response. Have a good day!
Best Yuan.

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@zhangyuan1997, thanks a lot for bringing this up. It could well be a bug. I will look into it. Meanwhile, could you try commenting out the line 147 to see if it works? Alternatively you can add if len(track_id_list) > 0: tmp_trk.id = track_id_lst.popleft() to avoid popping an empty list.

Thank you very much! When I comment out the line 147, it works with no error.

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@zhangyuan1997, thanks a lot for bringing this up. It could well be a bug. I will look into it. Meanwhile, could you try commenting out the line 147 to see if it works? Alternatively you can add if len(track_id_list) > 0: tmp_trk.id = track_id_lst.popleft() to avoid popping an empty list.

I wonder why there is an empty deque?

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@zhangyuan1997 I am wondering about this too. I have not encountered this situation before.

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@zhangyuan1997 I am wondering about this too. I have not encountered this situation before.

Have you tried multiple different datasets before, including the ones you recorded?If you need the data set I recorded to help solve the bug, I will send it to you by email.

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@zhangyuan1997, I am lookining into my code and would let you know if I fix the bug. Thanks again.

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Thanks a lot. I have added this label😄

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You can modify def draw_box_label(img, bbox_cv2, box_color=(0, 255, 255), show_label=True): in helper.py Best
…

Hello, sorry to take up your time. I would like to ask the score in the scores obtained from this statement (line53: self.scores =self.detection_graph.get_tensor_by_name('detection_scores:0')) in the detector.py defaults to the highest score for each box? I found that each box corresponds to a score, corresponding to a category. The figure below shows 100 boxes, 100 categories, and 100 predicted scores (where the red line is drawn) in the first frame.

But in a general classification task should not be a box corresponding to multiple predicted categories and scores? Rather than the 1:1:1 relationship above.

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In addition, what is the basis for the score threshold to be 0.3?

Thanks a lot for your response!
Best.

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In addition, why is the basis for the score threshold to be 0.3?

Thanks a lot for your response!
Best.

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@zhangyuan1997, you have to tune this parameter based on the detector's performance on your images. If the value is too low, you would have false-positives. If the value is too high, you would have miss-detections. I choose 0.3 because it works the best for the images I tested.

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Thanks a lot！Having a discussion with you has taught me a lot.😊😊😊Thank you very much. Happy New Year.

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Glad that I can be of some help. Let me close this issue for now.

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