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Data normalization: use dataset mean, no dataset std
[Thursday 10:42] Preparing datasets...
Loading UCF-101 videos [0/9537]
Traceback (most recent call last):
File "train.py", line 121, in <module>
data_loaders = data_factory.get_data_loaders(config, train_transforms, validation_transforms)
File "/home/heyuan/Research/PyTorchConv3D/factory/data_factory.py", line 201, in get_data_loaders
train_transforms['temporal'], train_transforms['target'])
File "/home/heyuan/Research/PyTorchConv3D/factory/data_factory.py", line 52, in get_training_set
target_transform=target_transform)
File "/home/heyuan/Research/PyTorchConv3D/datasets/ucf101.py", line 176, in __init__
sample_duration)
File "/home/heyuan/Research/PyTorchConv3D/datasets/ucf101.py", line 106, in make_dataset
raise FileNotFoundError('n_frames_file_path does not exist: {}'.format(n_frames_file_path))
FileNotFoundError: n_frames_file_path does not exist: /home/heyuan/Datasets/ucf101/jpg/ApplyEyeMakeup/v_ApplyEyeMakeup_g08_c01/n_frames
Does anybody know how to solve this problem?
Thanks in advance!
The text was updated successfully, but these errors were encountered:
When I tried to run the example
there is an error:
Does anybody know how to solve this problem?
Thanks in advance!
The text was updated successfully, but these errors were encountered: