Comments (10)
How can I solve this problem? Thanks
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From the error message you posted, I see either the video or the flow is not loaded correctly. Can you check the dimension of video
, corrFlowF
, and corrFlowB
?
from fgvc.
From the error message you posted, I see either the video or the flow is not loaded correctly. Can you check the dimension of
video
,corrFlowF
, andcorrFlowB
?
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python video_completion.py --mode object_removal --path ../data/tennis --path_mask ../data/tennis_mask --outroot ../result/tennis_removal --seamless
Pytorch 1.6.0 for flow prediction
Finish Calculating flow.
Please switch to Pytorch 0.4.0
python video_completion.py \
--mode object_removal \ --path ../data/tennis \ --path_mask ../data/tennis_mask \ --outroot ../result/tennis_removal \ --seamless
Pytorch 1.6.0 for flow prediction
Finish Calculating flow.
Please switch to Pytorch 0.4.0
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I feel like there's something wrong with the previous step. @gaochen315
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It seems like you don't deactivate the raft
environment by conda deactivate
. Try deactivating it first and then activate the second environment.
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Please check the latest code. There is only one environment, i.e., Pytorch 1.6.0, CUDA 10.1. Let me know if you have any questions.
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I’m closing this issue because it has been inactive for a few months. Please reopen if you have other questions.
Thank you!
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ok, thank you very much.
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Related Issues (20)
- Can we use the cv2.remap to replace get_flowNN color propagation function? HOT 2
- ' --Nonlocal ' in video_completion.py results in error HOT 2
- Object removal task evaluation code HOT 3
- RuntimeError: Error keeps saying "to have 3 channels, but got 4 channels instead" HOT 1
- The implementation of the homography warp before optical flow calculation HOT 4
- Inpainting doesn't seem to clean up intermediary files HOT 2
- server for weights.zip and data.zip seems unreachable HOT 5
- 对于较少背景移动时,去除文字水印,会出现填充拖影问题 HOT 1
- How can I train a new model on a different dataset? HOT 4
- Same problem result of '--Nonlocal' (as issue #52) HOT 2
- Where can I read about all those parameters such as edge guide, mixed precisions and so on? HOT 1
- Code Error in non-local optical flow concatenation HOT 1
- RAFT Model HOT 1
- edge_guide flag HOT 1
- test question HOT 2
- Inference is not as accurate as the provided video samples HOT 4
- Evaluation Metrics HOT 2
- code question
- How to train the network? HOT 1
- Please Large FOV colab
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