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Why is the DUT output video cropped #23
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You can output uncropped video frames in dutstabilizer.py's function to generate video, but this model will generate black boxes, so I recommend cropping the video. Black edge compensation, I saw the author share a boundary extrapolation method, but has not uploaded the project code, I think, you can try to use generative adversarial network to predict the boundary generation. |
Thank you very much for your reply! I have one more question to ask. I set up the code environment according to the readme.file, but when I ran it, I got an error: RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED。What is the reason for this problem? |
I guess it may be caused by the mismatch between your cuda and pytorch. Are you running code on Ubuntu? I haven't tried this before? Because I was configured and successfully run under the Windows 10 environment. Can you show me your conda list or pip list ,so that I can find the diffrence between your configuration and mine? |
Thank you for reminding me! Now I also debug code in the windows environment. After investigation, I found that it was caused by insufficient video memory,Maybe I need to change the size of batchsize. Do you know how to modify the batchsize in dut?In addition, I wonder if it is convenient for you to leave your email address so that I can consult you more conveniently. |
hello,my email is [email protected] |
you can reduce your length of input video,out of memory can be slolved.The batch size can adjusted in config.but I remember it is 1. |
Do you have any code for evaluation metrics? |
Why is the DUT output video cropped,Is it because of the model?How should this problem be solved?
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