Deep-Flow-Guided-Video-Inpainting
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Error about Flownet2 installation
When I tried to execute example command, I encountered with this issues. Could you please help to solve this problem? I guess there is a problem regarding the 'resample2d_cuda.cpython-36m-x86_64-linux-gnu.so' file
I can't help you with the flownet2 modules. I've also had problems with them. So I removed them and implemented a similar network in its place: The LiteFlowNet (pytorch, original). This implementation doesn't need the flownet2 modules at all but you need to install CuPy
You can check it out here: https://github.com/lukas-blecher/Deep-Flow-Guided-Video-Inpainting
I can't help you with the flownet2 modules. I've also had problems with them. So I removed them and implemented a similar network in its place: The LiteFlowNet (pytorch, original). This implementation doesn't need the flownet2 modules at all but you need to install CuPy
You can check it out here: https://github.com/lukas-blecher/Deep-Flow-Guided-Video-Inpainting
Thank you so much for your comment! It was really helpful for me. I succeed to extract flow from LiteFlowNet. However, when i tried to get the inpainting result again, I got this error from 'FlowInitial.py' part. I tried to change the type of 'tmp_mask_resized' to cv::UMat, but it didn't work. Do you have any idea why it happens?
seems like there was missing a keyword argument. Try again with interpolation=cv2.INTER_NEAREST
or pull the changes.
seems like there was missing a keyword argument. Try again with
interpolation=cv2.INTER_NEAREST
or pull the changes.
Problem solved! Thank you so much for the quick and kind answers!
Where did you get pretrained_model_liteflownet?
@yuyang16101066 I've linked them in the README of the fork or in this issue
@yuyang16101066 I've linked them in the README of the fork or in this issue
Thanks for your reply. I have generated flow with LiteFlowNet.