AAnoosheh
commented
5 years ago DA, DB = random.sample(range(len(self.dirs)), 2)
An error at that line means you have less than two directories to choose from. Please ensure you have at minimum two image directories starting with the prefix "train" i.e. trainA & trainB, or train0 & train1
create web directory ./checkpoints/summer2winter_yosemite/web... Traceback (most recent call last): File "train.py", line 22, in
for i, data in enumerate(dataset):
File "/home/timing/Git_Repos_Summer/ToDayGAN/data/data_loader.py", line 21, in iter
for i, data in enumerate(self.dataloader):
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 286, in next
return self._process_next_batch(batch)
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 307, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
ValueError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 57, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 57, in
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/timing/Git_Repos_Summer/ToDayGAN/data/unaligned_dataset.py", line 39, in getitem
DA, DB = random.sample(range(len(self.dirs)), 2)
File "/usr/lib/python3.5/random.py", line 315, in sample
raise ValueError("Sample larger than population")
ValueError: Sample larger than population