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ykdai / BasicPBC

Official Implementation of "Learning Inclusion Matching for Animation Paint Bucket Colorization"
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infer Error #1

Closed redstarxz closed 5 months ago

redstarxz commented 5 months ago

Traceback (most recent call last): File "D:\BasicPBC\basicsr\test.py", line 45, in test_pipeline(root_path) File "D:\BasicPBC\basicsr\test.py", line 35, in test_pipeline model = build_model(opt) File "d:\basicpbc\basicsr\models__init.py", line 26, in build_model model = MODEL_REGISTRY.get(opt["model_type"])(opt) File "d:\basicpbc\basicsr\models\sr_model.py", line 30, in init__ self.load_network(self.net_g, load_path, self.opt["path"].get("strict_load_g", True), param_key) File "d:\basicpbc\basicsr\models\base_model.py", line 292, in load_network load_net = load_net[param_key] KeyError: 'params_ema'

toyxyz commented 5 months ago

Same here!

Traceback (most recent call last): File "C:\Users\toyxy\BasicPBC\basicsr\test.py", line 45, in test_pipeline(root_path) File "C:\Users\toyxy\BasicPBC\basicsr\test.py", line 35, in test_pipeline model = build_model(opt) File "c:\users\toyxy\basicpbc\basicsr\models__init.py", line 26, in build_model model = MODEL_REGISTRY.get(opt["model_type"])(opt) File "c:\users\toyxy\basicpbc\basicsr\models\sr_model.py", line 30, in init__ self.load_network(self.net_g, load_path, self.opt["path"].get("strict_load_g", True), param_key) File "c:\users\toyxy\basicpbc\basicsr\models\base_model.py", line 292, in load_network load_net = load_net[param_key] KeyError: 'params_ema'

ykdai commented 5 months ago

Thank you so much for the feedback. We have updated the checkpoint to avoid this KeyError. Please download the latest checkpoint for inference.