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Using object_detection_demo_yolov3_async.py
produces the following output on yolov3 tiny coco model:
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Greetings,
I tried the model with my own videos and it works fine.
Why don't you try to run with this video sample first and see how it goes:
https://www.pexels.com/video/people-in-the-streets-853993
Here is some insight on how to properly convert yolov3 :
https://www.youtube.com/watch?v=FaqVhvJ6-Uc
And our official documentation:
Sincerely,
Iffa
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Greetings,
If possible, Could you please help to elaborate more regarding the errors that you are getting?
Sincerely,
Iffa
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The errors are visible in the picture: an extra bounding box for each detection.
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Greetings,
I tried the model with my own videos and it works fine.
Why don't you try to run with this video sample first and see how it goes:
https://www.pexels.com/video/people-in-the-streets-853993
Here is some insight on how to properly convert yolov3 :
https://www.youtube.com/watch?v=FaqVhvJ6-Uc
And our official documentation:
Sincerely,
Iffa
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Greetings,
Intel will no longer monitor this thread since we have provided a solution. If you need any additional information from Intel, please submit a new question
Sincerely,
Iffa
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