Traceback (most recent call last):


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/site-packages/dm_control/mujoco/wrapper/core.py", line 305, in callback

free_func(temp_ptr)


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/site-packages/dm_control/mujoco/wrapper/core.py", line 788, in finalize_mjr_context

with gl_context.make_current() as ctx:


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/contextlib.py", line 59, in __enter__

return next(self.gen)


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/site-packages/dm_control/render/base.py", line 109, in make_current

with self._render_executor.execution_context() as ctx:


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/contextlib.py", line 59, in __enter__

return next(self.gen)


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/site-packages/dm_control/render/executor/render_executor.py", line 95, in execution_context

self._check_not_terminated()


 "/Users/jirenz/anaconda/envs/surreal/lib/python3.5/site-packages/dm_control/render/executor/render_executor.py", line 90, in _check_not_terminated

raise RuntimeError(_ALREADY_TERMINATED)
RuntimeError: This executor has already been terminated.

Traceback (most recent call last):


 "D:/2020project/Silent-Face-Anti-Spoofing-master/test.py", line 110, in <module>

test(args.image_name, args.model_dir, args.device_id)


 "D:/2020project/Silent-Face-Anti-Spoofing-master/test.py", line 60, in test

prediction += model_test.predict(img, os.path.join(model_dir, model_name))


 "D:\2020project\Silent-Face-Anti-Spoofing-master\src\anti_spoof_predict.py", line 87, in predict

self._load_model(model_path)


 "D:\2020project\Silent-Face-Anti-Spoofing-master\src\anti_spoof_predict.py", line 67, in _load_model

state_dict = torch.load(model_path, map_location=self.device)


 "D:\anaconda3\envs\silence\lib\site-packages\torch\serialization.py", line 386, in load

return _load(f, map_location, pickle_module, **pickle_load_args)


 "D:\anaconda3\envs\silence\lib\site-packages\torch\serialization.py", line 559, in _load

raise RuntimeError("{} is a zip archive (did you mean to use torch.jit.load()?)".format(f.name))
RuntimeError: ./resources/anti_spoof_models\1_80x80_MiniFASNetV1.pth is a zip archive (did you mean to use torch.jit.load()?)
