(self, image)
| 92 | return ESRGAN(model_manager.fetch_model("esrgan")) |
| 93 | |
| 94 | def process_image(self, image): |
| 95 | image = torch.Tensor(np.array(image, dtype=np.float32) / 255).permute(2, 0, 1) |
| 96 | return image |
| 97 | |
| 98 | def process_images(self, images): |
| 99 | images = [self.process_image(image) for image in images] |