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tarun005 / FLAVR

Code for FLAVR: A fast and efficient frame interpolation technique.
Apache License 2.0
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question about data augmentation #3

Closed XiaoyuShi97 closed 3 years ago

XiaoyuShi97 commented 3 years ago

Hi, I am new to pytorch and want to make sure. You use this line to ensure that the augmentations, e.g. randomcrop(), randomflip(), colorjitter(), applied to all frames are identical? https://github.com/tarun005/FLAVR/blob/8896a0f6e60a6c7b8b08aa973b79b230053690a4/dataset/vimeo90k_septuplet.py#L66

XiaoyuShi97 commented 3 years ago

According to my experiments, augmentations applied to each frame are different and the difference among frames are huge. I am surprised that this model should converge in such extreme conditions. I will try to train the model to see if I can reproduce the reported metrics.

tarun005 commented 3 years ago

Closing this due to no further update.