Deep-Exemplar-based-Video-Colorization
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The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Hi ! Trying out test.py results in the following error: `Traceback (most recent call last): File "test.py", line 26, in torch.cuda.set_device(0) File "C:\Users\natha\anaconda3\envs\ColorVid\lib\site-packages\torch\cuda\__init__.py", line 311, in set_device torch._C._cuda_setDevice(device) AttributeError: module...
I have no idea to train a new model on my dataset, if the author can provide a tiny dataset sample.
Processing 4x3 video 912x720 outputs cropped and downscaled 16x9 768x432. Playing around "python test.py --image-size [image-size] " doesn't help My be I don't properly specify an arguments? So, what the...
Could you provide detailed preprocessing scripts for Hollywood2 amd Imagenet datasets? Thanks a lot
Thanks for your outstanding work! I have some questions when I read it. 1. What are the settings when you test this video model on image colorization which used for...
https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colorization/blob/37639748f12dfecbb0a3fe265b533887b5fe46ce/lib/TestTransforms.py#L341 it seems a repeated define of __call__
Hello, First of all, congrats for this amazing work, and thank you for sharing it. When using the attribute _--image_size_ and specifying the actual size of my input frames (720x964)...
Regardless of input aspect ratio - output always 16x9. Tried to process 4x3 sample video, however output video is 16x9 cropped top/bottom.
Pytorch, the older version does not exist or are avalible for install. Is it possible to update the script so it works?
Are you guys planning to update the colab version??