FileNotFound Error in the PASCAL VOC Dataset

[sattwik-sahu]

Setup

Directory Structure

This is the directory structure of my project after cloning the repo and following the instructions in the README on downloading the zip files and pre-trained model weights and where to put them.

$ tree -L 3
.
├── config.py
├── dataloaders
│   ├── coco.py
│   ├── common.py
│   ├── customized.py
│   ├── __init__.py
│   ├── pascal.py
│   ├── __pycache__
│   │   ├── coco.cpython-312.pyc
│   │   ├── common.cpython-312.pyc
│   │   ├── customized.cpython-312.pyc
│   │   ├── __init__.cpython-312.pyc
│   │   ├── pascal.cpython-312.pyc
│   │   └── transforms.cpython-312.pyc
│   └── transforms.py
├── experiments
│   ├── coco_align_1way_1shot_[test].sh
│   ├── coco_align_1way_1shot_[train].sh
│   ├── coco_align_1way_5shot_[test].sh
│   ├── coco_align_1way_5shot_[train].sh
│   ├── voc_1way_1shot_[test].sh
│   ├── voc_1way_1shot_[train].sh
│   ├── voc_1way_5shot_[test].sh
│   ├── voc_1way_5shot_[train].sh
│   ├── voc_align_1way_1shot_[test].sh
│   ├── voc_align_1way_1shot_[train].sh
│   ├── voc_align_1way_5shot_[test].sh
│   ├── voc_align_1way_5shot_[train].sh
│   ├── voc_bbox_1way_1shot_[test].sh
│   ├── voc_bbox_1way_5shot_[test].sh
│   ├── voc_notrain_1way_1shot_[test].sh
│   ├── voc_notrain_1way_5shot_[test].sh
│   ├── voc_scribble_1way_1shot_[test].sh
│   └── voc_scribble_1way_5shot_[test].sh
├── models
│   ├── fewshot.py
│   ├── __init__.py
│   ├── __pycache__
│   │   ├── fewshot.cpython-312.pyc
│   │   ├── __init__.cpython-312.pyc
│   │   └── vgg.cpython-312.pyc
│   └── vgg.py
├── poetry.lock
├── pretrained_model
│   └── vgg16-397923af.pth
├── __pycache__
│   └── config.cpython-312.pyc
├── pyproject.toml
├── README.md
├── runs
│   └── PANet_VOC_align_sets_0_1way_1shot_[train]
│       ├── 1
│       ├── 2
│       ├── 3
│       └── 4
├── test.py
├── train.py
├── tree.txt
├── util
│   ├── __init__.py
│   ├── metric.py
│   ├── __pycache__
│   │   ├── __init__.cpython-312.pyc
│   │   └── utils.cpython-312.pyc
│   ├── sbd_instance_process.py
│   ├── scribbles.py
│   ├── utils.py
│   └── voc_classwise_filenames.py
├── VOCdevkit
│   └── VOC2012
│       ├── ImageSets
│       ├── ScribbleAugAuto
│       ├── SegmentationClassAug
│       └── SegmentationObjectAug
└── zips

22 directories, 53 files

Environment

I have setup the virtual environment with the packages specified in the README.

Error

Running the Code

I ran the training code by changing the configuration file as given below

def cfg():
    """Default configurations"""
    input_size = (417, 417)
    seed = 1234
    cuda_visable = "0, 1, 2, 3, 4, 5, 6, 7"
    gpu_id = 0
    mode = "train"  # 'train' or 'test'

Then I ran the training code and got the following error:

$ python train.py
INFO - PANet - Running command 'main'
INFO - PANet - Started run with ID "5"
INFO - main - ###### Create model ######
/home/moonlab/sattwik/code/PANet/models/vgg.py:66: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
  dic = torch.load(self.pretrained_path, map_location='cpu')
INFO - main - ###### Load data ######
INFO - main - ###### Set optimizer ######
INFO - main - ###### Training ######
ERROR - PANet - Failed after 0:00:01!
Traceback (most recent calls WITHOUT Sacred internals):
  File "/home/moonlab/sattwik/code/PANet/train.py", line 89, in main
    for i_iter, sample_batched in enumerate(trainloader):
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 630, in __next__
    data = self._next_data()
           ^^^^^^^^^^^^^^^^^
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1344, in _next_data
    return self._process_data(data)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/torch/utils/data/dataloader.py", line 1370, in _process_data
    data.reraise()
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/torch/_utils.py", line 706, in reraise
    raise exception
FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/torch/utils/data/_utils/worker.py", line 309, in _worker_loop
    data = fetcher.fetch(index)  # type: ignore[possibly-undefined]
           ^^^^^^^^^^^^^^^^^^^^
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
            ~~~~~~~~~~~~^^^^^
  File "/home/moonlab/sattwik/code/PANet/dataloaders/common.py", line 165, in __getitem__
    sample = [self.datasets[dataset_idx][data_idx]
              ~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
  File "/home/moonlab/sattwik/code/PANet/dataloaders/common.py", line 197, in __getitem__
    return self.dataset[self.indices[idx]]
           ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
  File "/home/moonlab/sattwik/code/PANet/dataloaders/pascal.py", line 48, in __getitem__
    image = Image.open(os.path.join(self._image_dir, f'{id_}.jpg'))
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/moonlab/sattwik/code/PANet/.venv/lib/python3.12/site-packages/PIL/Image.py", line 3431, in open
    fp = builtins.open(filename, "rb")
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/home/moonlab/sattwik/code/PANet/VOCdevkit/VOC2012/JPEGImages/2008_008522.jpg'

Guess

My guess is that the dataset in the zip file is not according to the format expected by the sacred package.

Please help. Thank you.