Comments (1)
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Sorry for the typos. This line (flownet.eval()) should be included. I generate all the flow map at first and then eval using the offline flow map every time. Therefore I comment out the part of generating flow maps, which makes this mistake.
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I follow this paper "Learning Blind Video Temporal Consistency" to evaluate the temporal consistency, which does not consider the occlusion region. However, it does not affect the trend of the results.
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It is an interesting question. I also looking for temporal consistency evaluation methods for a long time during this project. But no proper ones at that time. Using optical flow is a feasible way. At the same time, visualized videos and images also illustrate the improvement of temporal consistency. Therefore reviews do not give an opinion on the evaluation method.
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Related Issues (17)
- 女神 训练代码什么时候开放? HOT 2
- Got an error when run python tool/demo.py HOT 1
- Questions about data for for flow loss training
- How to get the TC scores HOT 1
- Could you please provide more config like 'psp' and other 'initmodel' ?
- Could you please provide more config like 'psp' and other 'initmodel' ?
- Using the temporal knowledge distillation
- License
- R.I.P.
- video temporal consistency HOT 2
- how can I evaluate in my own video HOT 3
- Install problem HOT 1
- lower mIoU score than reported HOT 1
- CamVid config file
- Which Nvidia GPU card do you use for training? HOT 2
- Pretrain about the backbone ResNet HOT 1
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