Micro-Expression-with-Deep-Learning
Micro-Expression-with-Deep-Learning copied to clipboard
I can't run the train.py with CASME2 dataset.
There are so many errors when running train.py with CASME2 dataset. I use this: python main.py --train ./train.py --dB CASME2_Optical --batch_size=1 --spatial_epochs=2 --temporal_epochs=2 --train_id='default_test' --spatial_size=224 --flag='st4se' --objective_flag=1
I have modified the static variables like the path of directory, but still have problem with Train_X = np.vstack(Train_X) in function data_loader_with_LOSO of utilities.py.
It costs me couples of days. I feel so upset.
There are so many errors when running train.py with CASME2 dataset. I use this: python main.py --train ./train.py --dB CASME2_Optical --batch_size=1 --spatial_epochs=2 --temporal_epochs=2 --train_id='default_test' --spatial_size=224 --flag='st4se' --objective_flag=1
I have modified the static variables like the path of directory, but still have problem with Train_X = np.vstack(Train_X) in function data_loader_with_LOSO of utilities.py.
It costs me couples of days. I feel so upset.
Me too. Can you give me a mailbox?
HI, can you try with "st" first?
so sorry because it runs fine on my pc.
@ZYDi I make it finally. The reason is that I make a mistake with the dataset CASME2 and CASME2_OPtical_Flow.
@ZYDi [email protected] That's my mailbox.