Hi,
What is the batch size for training FLAVR for 8x VFI, I see in the paper that it is 32 with the frame size of 512x512. But I train on 8 GPUs(1080Ti whose memory is the same as 2080Ti), I got OOM error and only a batch size of 16 is ok. Besides that, neither random frame order reversal nor random horizontal flipping as augmentation strategies can be found in the GoPro.py. I wonder that can I reproduce the results with this code ?
Hi, thanks for your interest in our work. The GoPro code can be used for inference. For training you have to modify it accordingly adding augmentation etc.
Hi, What is the batch size for training FLAVR for 8x VFI, I see in the paper that it is 32 with the frame size of 512x512. But I train on 8 GPUs(1080Ti whose memory is the same as 2080Ti), I got OOM error and only a batch size of 16 is ok. Besides that, neither random frame order reversal nor random horizontal flipping as augmentation strategies can be found in the GoPro.py. I wonder that can I reproduce the results with this code ?