Comments (1)
Put your image inside a folder, then use the following command:
python infer.py --image_dir='/path/to/your/image/folder' --output_dir='/path/to/folder/where/you/would/like/to/save/the/Super/Resolution/Image'
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Related Issues (20)
- Way to make 2x instead of 4x? HOT 3
- Reproducing high FPS HOT 11
- Loading trained checkpoints HOT 1
- Image was white until I made this change HOT 2
- is there any plan to port the SR model onto a mobile phone? HOT 1
- feeding Low Res images to Generator without downsampling High Res images HOT 1
- infer.py not working in the same dependencies... HOT 1
- Training for Higher Upsampling Levels HOT 2
- ValueError: Input 0 is incompatible with layer model_2: expected shape=(None, 96, 96, 3), found shape=(None, 480, 640, 3) from infer.py HOT 9
- pre-trained model D (Discriminator) not found HOT 1
- VGG19 for grayscale images HOT 1
- how to process sr in real time speed for developing video cam HOT 1
- Models for higher resolution HOT 1
- Any plans making ML Upscaler for gaming/3D? HOT 1
- Running the model in Real time with webcam HOT 1
- logs HOT 1
- SRGAN beginner HOT 6
- Incompatible shape HOT 4
- ValueError: Exception encountered when calling layer "model" (type Functional) HOT 4
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