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Detection.py tries to work with CUDA in CPU mode #161

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Detection.py tries to work with CUDA in CPU mode #161

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7 changes: 6 additions & 1 deletion detect.py
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Expand Up @@ -40,7 +40,12 @@ def detect(save_img=False):
half = device.type != 'cpu' # half precision only supported on CUDA

# Load model
model = Darknet(cfg, imgsz).cuda()
# Arguman 'cpu' should be controlled, if 'cpu' is set model should be initialized with .cpu() method
# Older version of code cannot run without nvidia driver because of this reason
if device.type != 'cpu'
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model = Darknet(cfg, imgsz).cuda()
else
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model = Darknet(cfg, imgsz).cpu()
model.load_state_dict(torch.load(weights[0], map_location=device)['model'])
#model = attempt_load(weights, map_location=device) # load FP32 model
#imgsz = check_img_size(imgsz, s=model.stride.max()) # check img_size
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