yolov5 运行日志

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(wind_2021) F:\PytorchProject\yolov5-master-20210402\yolov5-master>python detect.py --source data/images --weights yolov5s.pt --conf 0.25
Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.25, device=‘‘, exist_ok=False, img_size=640, iou_thres=0.45, name=‘exp‘, project=‘runs/detect‘, save_conf=False, save_txt=False, source=‘data/images‘, update=False, view_img=False, weights=[‘yolov5s.pt‘])
Using torch 1.8.1+cu111 CUDA:0 (GeForce RTX 3080 Laptop GPU, 16384.0MB)


Downloading https://github.com/ultralytics/yolov5/releases/download/v4.0/yolov5s.pt to yolov5s.pt...
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 14.1M/14.1M [00:03<00:00, 4.43MB/s]

Fusing layers...
Model Summary: 224 layers, 7266973 parameters, 0 gradients, 17.0 GFLOPS
image 1/2 F:\PytorchProject\yolov5-master-20210402\yolov5-master\data\images\bus.jpg: 640x480 4 persons, 1 buss, Done. (0.039s)
image 2/2 F:\PytorchProject\yolov5-master-20210402\yolov5-master\data\images\zidane.jpg: 384x640 2 persons, 1 ties, Done. (0.019s)
Results saved to runs\detect\exp
Done. (0.201s)

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