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			55 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			55 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import os
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| import sys
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| import traceback
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| 
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| from basicsr.utils.download_util import load_file_from_url
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| 
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| from modules.upscaler import Upscaler, UpscalerData
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| from modules.ldsr_model_arch import LDSR
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| from modules import shared
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| 
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| 
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| class UpscalerLDSR(Upscaler):
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|     def __init__(self, user_path):
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|         self.name = "LDSR"
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|         self.user_path = user_path
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|         self.model_url = "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
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|         self.yaml_url = "https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
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|         super().__init__()
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|         scaler_data = UpscalerData("LDSR", None, self)
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|         self.scalers = [scaler_data]
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| 
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|     def load_model(self, path: str):
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|         # Remove incorrect project.yaml file if too big
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|         yaml_path = os.path.join(self.model_path, "project.yaml")
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|         old_model_path = os.path.join(self.model_path, "model.pth")
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|         new_model_path = os.path.join(self.model_path, "model.ckpt")
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|         if os.path.exists(yaml_path):
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|             statinfo = os.stat(yaml_path)
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|             if statinfo.st_size >= 10485760:
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|                 print("Removing invalid LDSR YAML file.")
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|                 os.remove(yaml_path)
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|         if os.path.exists(old_model_path):
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|             print("Renaming model from model.pth to model.ckpt")
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|             os.rename(old_model_path, new_model_path)
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|         model = load_file_from_url(url=self.model_url, model_dir=self.model_path,
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|                                    file_name="model.ckpt", progress=True)
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|         yaml = load_file_from_url(url=self.yaml_url, model_dir=self.model_path,
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|                                   file_name="project.yaml", progress=True)
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| 
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|         try:
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|             return LDSR(model, yaml)
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| 
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|         except Exception:
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|             print("Error importing LDSR:", file=sys.stderr)
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|             print(traceback.format_exc(), file=sys.stderr)
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|         return None
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| 
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|     def do_upscale(self, img, path):
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|         ldsr = self.load_model(path)
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|         if ldsr is None:
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|             print("NO LDSR!")
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|             return img
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|         ddim_steps = shared.opts.ldsr_steps
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|         return ldsr.super_resolution(img, ddim_steps, self.scale)
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