2023-06-27 09:53:33,078 VGG16:to: 0
2023-06-27 09:53:34,880 Found 10 samples.
2023-06-27 09:53:34,901 Found 30 samples.
2023-06-27 09:53:35,105 Found 0 images.
2023-06-27 09:53:35,105 Dataset is empty!
And the Error is:
File "/usr/lib/python3.10/pathlib.py", line 960, in __new__
self = cls._from_parts(args)
File "/usr/lib/python3.10/pathlib.py", line 594, in _from_parts
drv, root, parts = self._parse_args(args)
File "/usr/lib/python3.10/pathlib.py", line 587, in _parse_args
return cls._flavour.parse_parts(parts)
File "/usr/lib/python3.10/pathlib.py", line 67, in parse_parts
drv, root, rel = self.splitroot(part)
File "/usr/lib/python3.10/pathlib.py", line 240, in splitroot
if part and part[0] == sep:
RecursionError: maximum recursion depth exceeded in comparison
Is it because my dataset is not set up correctly?
These are the steps I took to prepare the dataset:
Pfd
gbuffers --> by generate_fake_gbuffers.py --> .npz
robust labels --> by Mseg --> .png (gray images
gt labels --> download from webseit --> .png
Their order in the filetext also follows the guide: paths to image, gbuffers, robust labels, and gt labels
And also i changed the (height, width) for the compute_weights.py script, since the image from Pfd is 1054x1914
Hello everyone I have some problems in training:
And the Error is:
Is it because my dataset is not set up correctly?
These are the steps I took to prepare the dataset:
generate_fake_gbuffers.py--> .npz robust labels --> byMseg--> .png (gray images gt labels --> download from webseit --> .pngTheir order in the filetext also follows the guide:
paths to image, gbuffers, robust labels, and gt labelsAnd also i changed the (height, width) for the
compute_weights.pyscript, since the image from Pfd is 1054x1914Is there anything I've missed or gotten wrong?