runtime error

/usr/local/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. warnings.warn( /usr/local/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights. warnings.warn(msg) Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /home/user/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth 0%| | 0.00/97.8M [00:00<?, ?B/s] 100%|██████████| 97.8M/97.8M [00:00<00:00, 188MB/s] Traceback (most recent call last): File "/home/user/app/deploy.py", line 79, in <module> processed_images, labels = load_and_process_images(image_folder, transform, augment_transform) File "/home/user/app/deploy.py", line 37, in load_and_process_images for label_idx, label_name in enumerate(os.listdir(image_folder)): FileNotFoundError: [Errno 2] No such file or directory: '/content/drive/MyDrive/Colab Notebooks/Datasets/defects_kaggle'

Container logs: