| import os, sys, inspect |
| project_root = os.path.dirname(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))) |
| sys.path.insert(0, project_root) |
|
|
| import PIL.Image as Image |
| import torch |
| from WildCamera.newcrfs.newcrf_incidencefield import NEWCRFIF |
|
|
| @torch.no_grad() |
| def main(): |
| model = NEWCRFIF(version='large07', pretrained=None) |
| model.eval() |
| model.cuda() |
|
|
| script_dir = os.path.dirname(os.path.realpath(__file__)) |
| ckpt_path = os.path.join(os.path.dirname(script_dir), 'model_zoo/Release', 'wild_camera_all.pth') |
| model.load_state_dict(torch.load(ckpt_path, map_location="cpu"), strict=True) |
|
|
| img_folder = os.path.join(project_root, 'asset', 'image_restoration') |
| img_names = [ |
| 'lenna_distorted_cropright.jpg', |
| 'lenna_distorted_cropleft.jpg', |
| ] |
| for img_name in img_names: |
| img_path = os.path.join(img_folder, img_name) |
| img = Image.open(img_path) |
|
|
| export_root = os.path.join(img_folder, '{}_restored.jpg'.format(img_name.split('.')[0])) |
| intrinsic, _ = model.inference(img, wtassumption=False) |
| model.restore_image(img, intrinsic).save(export_root) |
|
|
| if __name__ == '__main__': |
| main() |
|
|
