record the progress i begin training:
1,download the dataset and unrar it, in this case i use ucf-101;
2,mkdir /pytorch-video-recognition/datasets/UCF-raw
3,mv the dataset into /UCF-raw
4,change the code in /pytorch-video-recognition/mypath.py, doot_dir=/pytorch-video-recognition/datasets/UCF-raw
5,don't mkdir for the output_dir, define the folder in your code like "output_dir=/pytorch-video-recognition/datasets/UCF-cooked", the //pytorch-video-recognition/dataloaders/dataset.py will create the path for you.
6,back to the main root and start training
record the progress i begin training: 1,download the dataset and unrar it, in this case i use ucf-101; 2,mkdir /pytorch-video-recognition/datasets/UCF-raw 3,mv the dataset into /UCF-raw 4,change the code in /pytorch-video-recognition/mypath.py, doot_dir=/pytorch-video-recognition/datasets/UCF-raw 5,don't mkdir for the output_dir, define the folder in your code like "output_dir=/pytorch-video-recognition/datasets/UCF-cooked", the //pytorch-video-recognition/dataloaders/dataset.py will create the path for you. 6,back to the main root and start training