CPU error - Githubissues

Whenever I am trying to run the code using CPU it is showing the error like this: RuntimeError Traceback (most recent call last)

in ----> 1 detector = FaceDetector(name='mobilenet', weight_path='mobilenet.pth', device='cpu') ~\FRS\FaceLib-master\facelib\Retinaface\Retinaface.py in __init__(self, name, weight_path, device, confidence_threshold, top_k, nms_threshold, keep_top_k, face_size) 42 43 # setting for model ---> 44 model.load_state_dict(torch.load(weight_path)) 45 model.to(device).eval() 46 self.model = model ~\Anaconda3\envs\cpu_env\lib\site-packages\torch\serialization.py in load(f, map_location, pickle_module, **pickle_load_args) 591 return torch.jit.load(f) 592 return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args) --> 593 return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args) 594 595 ~\Anaconda3\envs\cpu_env\lib\site-packages\torch\serialization.py in _legacy_load(f, map_location, pickle_module, **pickle_load_args) 771 unpickler = pickle_module.Unpickler(f, **pickle_load_args) 772 unpickler.persistent_load = persistent_load --> 773 result = unpickler.load() 774 775 deserialized_storage_keys = pickle_module.load(f, **pickle_load_args) ~\Anaconda3\envs\cpu_env\lib\site-packages\torch\serialization.py in persistent_load(saved_id) 727 obj = data_type(size) 728 obj._torch_load_uninitialized = True --> 729 deserialized_objects[root_key] = restore_location(obj, location) 730 storage = deserialized_objects[root_key] 731 if view_metadata is not None: ~\Anaconda3\envs\cpu_env\lib\site-packages\torch\serialization.py in default_restore_location(storage, location) 176 def default_restore_location(storage, location): 177 for _, _, fn in _package_registry: --> 178 result = fn(storage, location) 179 if result is not None: 180 return result ~\Anaconda3\envs\cpu_env\lib\site-packages\torch\serialization.py in _cuda_deserialize(obj, location) 152 def _cuda_deserialize(obj, location): 153 if location.startswith('cuda'): --> 154 device = validate_cuda_device(location) 155 if getattr(obj, "_torch_load_uninitialized", False): 156 storage_type = getattr(torch.cuda, type(obj).__name__) ~\Anaconda3\envs\cpu_env\lib\site-packages\torch\serialization.py in validate_cuda_device(location) 136 137 if not torch.cuda.is_available(): --> 138 raise RuntimeError('Attempting to deserialize object on a CUDA ' 139 'device but torch.cuda.is_available() is False. ' 140 'If you are running on a CPU-only machine, ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

sajjjadayobi / FaceLib

CPU error #10