ValueError when saving model

[Chanka0]

I followed through the whole workflow with little trouble and after setting everything up I'm getting this error upon saving the model before training starts.

2022-11-09 17:15:04,408 Saving model to savegames/pfd2cs_ie2-0-break.
2022-11-09 17:15:07,098 Unexpected error: <class 'ValueError'>
Traceback (most recent call last):
  File "code/epe/EPEExperiment.py", line 390, in <module>
    experiment.run()
  File "/mnt/b/Dev/cv-gta/code/epe/experiment/BaseExperiment.py", line 636, in run
    self.__getattribute__(self.action)()
  File "/mnt/b/Dev/cv-gta/code/epe/experiment/BaseExperiment.py", line 543, in train
    for batch in self.loader:
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
    data = self._next_data()
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
    return self._process_data(data)
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
    data.reraise()
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
    raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
    data = fetcher.fetch(index)
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/mnt/b/Dev/cv-gta/code/epe/matching/paired.py", line 108, in __getitem__
    idx = np.min(np.nonzero(p<self._cumsum)[0])
  File "<__array_function__ internals>", line 180, in amin
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/numpy/core/fromnumeric.py", line 2918, in amin
    return _wrapreduction(a, np.minimum, 'min', axis, None, out,
  File "/home/chanka/anaconda3/envs/torch/lib/python3.8/site-packages/numpy/core/fromnumeric.py", line 86, in _wrapreduction
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
ValueError: zero-size array to reduction operation minimum which has no identity

Help would be appreciated.

[Chanka0]

Correction: The exception happens before the model is saved. Saving is part of a try: except:. The error occurs at

  File "/mnt/b/Dev/cv-gta/code/epe/matching/paired.py", line 108, in __getitem__
    idx = np.min(np.nonzero(p<self._cumsum)[0])

[czero69]

When you call compute_weights script before the training python epe/matching/compute_weights.py matched_crops_PfD-Cityscapes.csv 526 957 crop_weights_PfD-Cityscapes.npz please make sure that you have put height and width in the right order: (height, width). For example, for fullHD it will be 1080 1920.

I've got exactly same issue when I called this script with the wrong w,h order. Also, print some resulting weights and check does they look ok (not nans etc.)

[luda1013]

hallo Chanka, so nice that you already at training step. i have however question at step matchong patches across dataset: python epe/matching/feature_based/collect_crops.py PfD pfd_files.csv

i have result num_sample = 0 at dataset, in the collect_crops.py there is command: dataset = ImageDataset(args.name, read_filelist(args.img_list, 1, False)) and at returns 0, thats why the script cannot go further and returns the error

i inspect line per line, the function read_filelist is okay. so my problem is in the class ImageDataset i dont know if the problem is how i created the csv file. i made a csv file just for trying, it consists only 5 lines: /Home/PEcon2/PfD/01_images/images/00001.png /Home/PEcon2/PfD/01_images/images/00002.png /Home/PEcon2/PfD/01_images/images/00003.png /Home/PEcon2/PfD/01_images/images/00004.png /Home/PEcon2/PfD/01_images/images/00005.png

can u please tell me how your step by step? thank you :)