FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019
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SoftwareGift
FileNotFoundError: [Errno 2] No such file or directory: 'F:\\CVPR2019\\data/Training/fake_part/CLKJ_BS1010/06_enm_b.rssdk/depth/151.jpg'
When I run "python main.py --config="cfgs/fishnet150-32.yaml" --b 32 --lr 0.01 --every-decay 30 --fl-gamma 2 >> fishnet150-train.log". The following error happen:
D:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\upsampling.py:129: UserWarning: nn.Upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.{} is deprecated. Use nn.functional.interpolate instead.".format(self.name)) Traceback (most recent call last): File "main.py", line 402, in <module> main() File "main.py", line 198, in main train(train_loader, model, criterion, optimizer, epoch) File "main.py", line 230, in train for i, (input, target) in enumerate(train_loader): File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 637, in __next__ return self._process_next_batch(batch) File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 658, in _process_next_batch raise batch.exc_type(batch.exc_msg) FileNotFoundError: Traceback (most recent call last): File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 138, in _worker_loop samples = collate_fn([dataset[i] for i in batch_indices]) File "D:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 138, in <listcomp> samples = collate_fn([dataset[i] for i in batch_indices]) File "F:\CVPR2019\read_data.py", line 94, in __getitem__ depth = Image.open(depth_dir[idx]) File "D:\ProgramData\Anaconda3\lib\site-packages\PIL\Image.py", line 2609, in open fp = builtins.open(filename, "rb") FileNotFoundError: [Errno 2] No such file or directory: 'F:\\CVPR2019\\data/Training/fake_part/CLKJ_BS1010/06_enm_b.rssdk/depth/151.jpg'
@SoftwareGift
The file list we provided is suitable for Linux system. According to your error message, it's a path format error.
The error also happen on Linux system
root@ubt:/home/ubt/app/CVPR2019# python main.py --config="cfgs/fishnet150-32.yaml" --b 32 --lr 0.01 --every-decay 30 --fl-gamma 2 >> fishnet150-train.log /root/anaconda3/lib/python3.7/site-packages/torch/nn/modules/upsampling.py:129: UserWarning: nn.Upsample is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.{} is deprecated. Use nn.functional.interpolate instead.".format(self.name)) Traceback (most recent call last): File "main.py", line 402, in <module> main() File "main.py", line 198, in main train(train_loader, model, criterion, optimizer, epoch) File "main.py", line 230, in train for i, (input, target) in enumerate(train_loader): File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 637, in __next__ return self._process_next_batch(batch) File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 658, in _process_next_batch raise batch.exc_type(batch.exc_msg) FileNotFoundError: Traceback (most recent call last): File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 138, in _worker_loop samples = collate_fn([dataset[i] for i in batch_indices]) File "/root/anaconda3/lib/python3.7/site-packages/torch/utils/data/dataloader.py", line 138, in <listcomp> samples = collate_fn([dataset[i] for i in batch_indices]) File "/home/ubt/app/CVPR2019/read_data.py", line 94, in __getitem__ depth = Image.open(depth_dir[idx]) File "/root/anaconda3/lib/python3.7/site-packages/PIL/Image.py", line 2580, in open fp = builtins.open(filename, "rb") FileNotFoundError: [Errno 2] No such file or directory: '/home/ubt/app/CVPR2019/data/Training/fake_part/CLKJ_BS1010/06_enm_b.rssdk/depth/151.jpg'
@SoftwareGift
我发现有个地方的确有问题。我不知道怎么改？
Training文件夹下还是“151_tr.jpg”，而程序似乎要“151.jpg”。
“ir_train.txt”下截图可以看出，运行fileList.py后，它是“151.jpg”，如下。
问题应该是这个，我不知道怎么回事。@SoftwareGift
我发现有个地方的确有问题。我不知道怎么改？ Training文件夹下还是“151_tr.jpg”，而程序似乎要“151.jpg”。
我通过rgb.write(pwd + list[0].split('.jpg')[0]+ '_tr' + '.jpg' +'\n')修改了文件名，但是仍然运行不了训练指令，请问您最后是如何解决的呢？
