add realesr-general-x4v3 and realesr-general-wdn-x4v3

inference_realesrgan.py

@@ -19,8 +19,9 @@ def main():
  type=str,
  default='RealESRGAN_x4plus',
  help=('Model names: RealESRGAN_x4plus | RealESRNet_x4plus | RealESRGAN_x4plus_anime_6B | RealESRGAN_x2plus | '
- 'realesr-animevideov3'))
+ 'realesr-animevideov3 | realesr-general-x4v3 | realesr-general-wdn-x4v3'))
  parser.add_argument('-o', '--output', type=str, default='results', help='Output folder')
+ parser.add_argument('--model_path', type=str, default=None, help='Model path')
  parser.add_argument('-s', '--outscale', type=float, default=4, help='The final upsampling scale of the image')
  parser.add_argument('--suffix', type=str, default='out', help='Suffix of the restored image')
  parser.add_argument('-t', '--tile', type=int, default=0, help='Tile size, 0 for no tile during testing')
@@ -58,13 +59,19 @@ def main():
  elif args.model_name in ['realesr-animevideov3']: # x4 VGG-style model (XS size)
  model = SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu')
  netscale = 4
+ elif args.model_name in ['realesr-general-x4v3', 'realesr-general-wdn-x4v3']: # x4 VGG-style model (S size)
+ model = SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=32, upscale=4, act_type='prelu')
+ netscale = 4
 
  # determine model paths
- model_path = os.path.join('experiments/pretrained_models', args.model_name + '.pth')
- if not os.path.isfile(model_path):
- model_path = os.path.join('realesrgan/weights', args.model_name + '.pth')
- if not os.path.isfile(model_path):
- raise ValueError(f'Model {args.model_name} does not exist.')
+ if args.model_path is not None:
+ model_path = args.model_path
+ else:
+ model_path = os.path.join('experiments/pretrained_models', args.model_name + '.pth')
+ if not os.path.isfile(model_path):
+ model_path = os.path.join('realesrgan/weights', args.model_name + '.pth')
+ if not os.path.isfile(model_path):
+ raise ValueError(f'Model {args.model_name} does not exist.')
 
  # restorer
  upsampler = RealESRGANer(