Background upsampling: False, Face upsampling: False

[zhouqiw]

trafficstars

Background upsampling: False, Face upsampling: False Traceback (most recent call last): File "inference_codeformer.py", line 147, in face_helper = FaceRestoreHelper( File "D:\github\CodeFormer-master\facelib\utils\face_restoration_helper.py", line 105, in init self.face_det = init_detection_model(det_model, half=False, device=self.device) File "D:\github\CodeFormer-master\facelib\detection_init_.py", line 16, in init_detection_model model = init_retinaface_model(model_name, half, device) File "D:\github\CodeFormer-master\facelib\detection_init_.py", line 36, in init_retinaface_model load_net = torch.load(model_path, map_location=lambda storage, loc: storage) File "D:\chengxu\ancanda\envs\py38\lib\site-packages\torch\serialization.py", line 795, in load return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) File "D:\chengxu\ancanda\envs\py38\lib\site-packages\torch\serialization.py", line 1020, in _legacy_load typed_storage._storage._set_from_file( RuntimeError: unexpected EOF, expected 7538569 more bytes. The file might be corrupted.

[sczhou]

Background upsampling: False, Face upsampling: False is your inference setting, not the error. The error seems the pretrained model you downloaded is corrupted, please check it out or download again from: https://github.com/sczhou/CodeFormer/releases/tag/v0.1.0