Traceback (most recent call last):
File "/content/GFPGAN/inference_gfpgan.py", line 7, in
from basicsr.utils import imwrite
File "/usr/local/lib/python3.10/dist-packages/basicsr/init.py", line 4, in
from .data import *
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/init.py", line 22, in
_dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames]
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/init.py", line 22, in
_dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames]
File "/usr/lib/python3.10/importlib/init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/realesrgan_dataset.py", line 11, in
from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py", line 8, in
from torchvision.transforms.functional_tensor import rgb_to_grayscale
ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'
ls: cannot access 'results/cmp': No such file or directory
Solution:
You need to update the file causing the issue, for that open cmd and type: pip show basicsr
Note down the location & search for the degradations.py file.
Open it & edit the following line:
from torchvision.transforms.functional_tensor import rgb_to_grayscale
to
from torchvision.transforms.functional import rgb_to_grayscale
This worked perfectly for me.
TencentARC
