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wintersun661 / MMNet

code for Multi-scale Matching Networks for Semantic Correspondence, ICCV
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How to prepare the PF-Pascal dataset? #3

Open tjyuyao opened 2 years ago

tjyuyao commented 2 years ago

I downloaded the PF-dataset-Pascal.zip from the Proposal Flow paper's web page, extracted it, and run the next line of command, but get errors about missing data files.

Input:

python test.py --alpha 0.05 --backbone fcn-resnet101 --ckp_name assets/model/mmnet_fcnresnet101_pascal.pth --resize 224,320

Expected output: some results about the benchmark results.

Actual output:

currently executing test.py file.
2021-11-19 02:01:59,172 - INFO - Options listed below:----------------
2021-11-19 02:01:59,172 - INFO - name: framework_train
2021-11-19 02:01:59,172 - INFO - benchmark: pfpascal
2021-11-19 02:01:59,172 - INFO - thresh_type: auto
2021-11-19 02:01:59,172 - INFO - backbone_name: fcn-resnet101
2021-11-19 02:01:59,172 - INFO - ms_rate: 4
2021-11-19 02:01:59,173 - INFO - feature_channel: 21
2021-11-19 02:01:59,173 - INFO - batch: 5
2021-11-19 02:01:59,173 - INFO - gpu: 0
2021-11-19 02:01:59,173 - INFO - data_path: /data/SC_Dataset
2021-11-19 02:01:59,173 - INFO - ckp_path: ./checkpoints_debug
2021-11-19 02:01:59,173 - INFO - visualization_path: visualization
2021-11-19 02:01:59,173 - INFO - model_type: MMNet
2021-11-19 02:01:59,173 - INFO - ckp_name: assets/model/mmnet_fcnresnet101_pascal.pth
2021-11-19 02:01:59,173 - INFO - log_path: ./logs/
2021-11-19 02:01:59,173 - INFO - resize: 224,320
2021-11-19 02:01:59,173 - INFO - max_kps_num: 50
2021-11-19 02:01:59,173 - INFO - split_type: test
2021-11-19 02:01:59,173 - INFO - alpha: 0.05
2021-11-19 02:01:59,173 - INFO - resolution: 2
2021-11-19 02:01:59,173 - INFO - Options all listed.------------------
2021-11-19 02:01:59,173 - INFO - ckp file: assets/model/mmnet_fcnresnet101_pascal.pth
Traceback (most recent call last):
  File "/home/runner/MMNet/test.py", line 127, in <module>
    test(logger, options)
  File "/home/runner/MMNet/test.py", line 65, in test
    test_dataset = Dataset.CorrespondenceDataset(
  File "/home/runner/MMNet/data/PascalDataset.py", line 32, in __init__
    self.train_data = pd.read_csv(self.spt_path)
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/util/_decorators.py", line 311, in wrapper
    return func(*args, **kwargs)
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 586, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 482, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 811, in __init__
    self._engine = self._make_engine(self.engine)
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1040, in _make_engine
    return mapping[engine](self.f, **self.options)  # type: ignore[call-arg]
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 51, in __init__
    self._open_handles(src, kwds)
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/parsers/base_parser.py", line 222, in _open_handles
    self.handles = get_handle(
  File "/home/runner/miniconda3/lib/python3.9/site-packages/pandas/io/common.py", line 702, in get_handle
    handle = open(
FileNotFoundError: [Errno 2] No such file or directory: '/data/SC_Dataset/PF-PASCAL/test_pairs.csv'

P.S. Output of executing ls /data/SC_Dataset/PF-PASCAL/:

Annotations  html  index.html  JPEGImages  parsePascalVOC.mat  ShowMatchingPairs
wintersun661 commented 2 years ago

Sorry for inconvenience. You can refer to https://github.com/ignacio-rocco/ncnet/tree/master/datasets/pf-pascal/image_pairs for a quick deployment. Will add auto-download scripts soon

Brahmagupta commented 1 year ago

I ran into the same problem... it seems like the problem is with the "--data_path" option. "/data/SC_Dataset" actually means the folder data/ in the root directory, not the "./data" in the current MMNet/ folder.

So without changing the original code there are two workarounds:

  1. extract the dataset files into "some_root_directory/data/SC_Dataset/"
  2. extract the dataset files into current "./data/SC_Dataset/" and add --data_path "./data/SC_Dataset" option while running the python test.py