GFN

"Gated Fusion Network for Image Deblurring and Super-Resolution"

How to test:

1. Git clone this repository.

$git clone https://github.com/max-vasyuk/GFN.git
$cd GFN

2. Download the trained model model_gfn.pkl from here and move the model to GFN/models folder.

3. Create class TestModel with path to model.

from inference import TestModel
tm = TestModel(*path_to_model*)

4. Execute function of prediction for inference.

tm.predict('test.jpeg')

5. The result will be in the root with the input image in result/ folder.