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Not working with other esrgan based upscalers #15

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alexblattner opened this issue Jun 7, 2023 · 3 comments
Open

Not working with other esrgan based upscalers #15

alexblattner opened this issue Jun 7, 2023 · 3 comments

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@alexblattner
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Hi, I've tried using foolhardi remacry and country roads but got these errors:

python utest.py
Traceback (most recent call last):
File "utest.py", line 9, in
model.load_weights('upscaler/4x_CountryRoads_377000_G.pth', download=False)
File "/home/alexblattnershalom/.local/lib/python3.8/site-packages/RealESRGAN/model.py", line 55, in load_weights
self.model.load_state_dict(loadnet, strict=True)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for RRDBNet:
Missing key(s) in state_dict: "conv_first.weight", "conv_first.bias", "body.0.rdb1.conv1.weight", "body.0.rdb1.conv1.bias", "body.0.rdb1.conv2.weight", "body.0.rdb1.conv2.bias", "body.0.rdb1.conv3.weight", "body.0.rdb1.conv3.bias", "body.0.rdb1.conv4.weight", "body.0.rdb1.conv4.bias", "body.0.rdb1.conv5.weight", "body.0.rdb1.conv5.bias", "body.0.rdb2.conv1.weight", "body.0.rdb2.conv1.bias", "body.0.rdb2.conv2.weight", "body.0.rdb2.conv2.bias", "body.0.rdb2.conv3.weight", "body.0.rdb2.conv3.bias", "body.0.rdb2.conv4.weight", "body.0.rdb2.conv4.bias", "body.0.rdb2.conv5.weight", "body.0.rdb2.conv5.bias", "body.0.rdb3.conv1.weight", "body.0.rdb3.conv1.bias", "body.0.rdb3.conv2.weight", "body.0.rdb3.conv2.bias", "body.0.rdb3.conv3.weight", "body.0.rdb3.conv3.bias", "body.0.rdb3.conv4.weight", "body.0.rdb3.conv4.bias", "body.0.rdb3.conv5.weight", "body.0.rdb3.conv5.bias", "body.1.rdb1.conv1.weight", "body.1.rdb1.conv1.bias", "body.1.rdb1.conv2.weight", "body.1.rdb1.conv2.bias", 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this is the code I used:

import torch
from PIL import Image
import numpy as np
from RealESRGAN import RealESRGAN

device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')

model = RealESRGAN(device, scale=4)
model.load_weights('upscaler/4x_CountryRoads_377000_G.pth', download=False)

path_to_image = 'Lout.png'
image = Image.open(path_to_image).convert('RGB')

sr_image = model.predict(image)

sr_image.save('u.png')

this is where I got the models:
https://huggingface.co/uwg/upscaler/tree/main/ESRGAN
@alexblattner
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I'd also like to point out that it didn't work with download=true either. it does work with good old RealESRGAN_x4plus though

@alexblattner
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would this have something to do with this? XPixelGroup/BasicSR#170

@md-rifatkhan
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Same. Also RealESRGAN_x4plus orginal one is not working on it

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@alexblattner @md-rifatkhan