OSError: Unable to open file (file signature not found) about image-super-resolution

[pldeepesh]

@cfrancesco I have tried to use git lfs pull but it throws an errror,

batch response: This repository is over its data quota. Purchase more data packs to restore access. error: failed to fetch some objects from 'https://github.com/idealo/image-super-resolution.git/info/lfs'

[cfrancesco]

Duplicate of #21

If you did use git lfs pull, please comment there.

[joys8998]

@cfrancesco Sorry but i get the same error by trying to download weights with git lfs pull command. And i can't use the newest way to load weights (RRDN(weights='gans')) since i want to perform image resolution on a whole directory.

How can i solve?

[cfrancesco]

I see. You're trying to use the predictor class. It is not maintained, it will probably be removed.

If this is your issue, then it's easy to script: model that way and then iterate through a given directory, something like

from ISR.models import RRDN
from pathlib import Path
import imageio

rrdn = RRDN(weights='gans')
dir_path = Path('/your/img/dir/path')
out_dir_path = Path('output/dir/')

for image in dir_path.iterdir(): 
   if image.endswith('.png'): # or whatever format you have
      image = imageio.imread( dir_path/ image )
      sr_img = rrdn.predict(np.array(image))
      out_image_path = out_dir_path / image
      imageio.imwrite(out_image_path, sr_img)
    

[joys8998]

Yeps, but the amount of images is quite huge and it chashes if i use a for cycle ( also in colab) anyway thank you for your support :)