'torchvision.transforms.functional_tensor' has been depreciated to 'torchvision.transforms.functional'

[sipsmehta]

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'

[shishirahm3d]

@sipsmehta run this code on colab before running 3. Inference. it will replace the degradation.py line 8
from torchvision.transforms.functional_tensor import rgb_to_grayscale
to:
from torchvision.transforms.functional import rgb_to_grayscale

then you're good to go...

# Define the file path
file_path = '/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py'

# Define the new import statement
new_import_statement = "from torchvision.transforms.functional import rgb_to_grayscale\n"

# Read the content of the file
with open(file_path, 'r') as file:
    lines = file.readlines()

# Modify the desired line (line 8 in this case)
if len(lines) >= 8:
    lines[7] = new_import_statement  # Index 7 corresponds to line 8 (0-based indexing)

# Write the modified content back to the file
with open(file_path, 'w') as file:
    file.writelines(lines)

print("Replacement completed successfully!")

[trippyvortex]

@shishirahm3d Thank you!

[Afsalts]

@shishirahm3d
i have a doubt. can i train the model on side faces . so it can enhance that. since now it dont work properluy on side faces

[WoodyBuendia]

@sipsmehta run this code on colab before running 3. Inference. it will replace the degradation.py line 8 from torchvision.transforms.functional_tensor import rgb_to_grayscale to: from torchvision.transforms.functional import rgb_to_grayscale

then you're good to go...

# Define the file path
file_path = '/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py'

# Define the new import statement
new_import_statement = "from torchvision.transforms.functional import rgb_to_grayscale\n"

# Read the content of the file
with open(file_path, 'r') as file:
    lines = file.readlines()

# Modify the desired line (line 8 in this case)
if len(lines) >= 8:
    lines[7] = new_import_statement  # Index 7 corresponds to line 8 (0-based indexing)

# Write the modified content back to the file
with open(file_path, 'w') as file:
    file.writelines(lines)

print("Replacement completed successfully!")

It is realy helpful,ths!