You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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
# 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!")
Not working with pytorch 2.*
error:
ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'
The text was updated successfully, but these errors were encountered: