yolov5训练栏杆检测模型日志记录

yolov5训练栏杆检测模型日志记录

 

  

 

 

 

 

测试:

复制代码
(wind_2021) H:\PytorchProject\yolov5_train_xinru_2023050901>
(wind_2021) H:\PytorchProject\yolov5_train_xinru_2023050901>python detect_2022050201.py  --weights runs/train/exp4/weights/best.pt --source data/img  --conf-thres 0.15  --iou-thres 0.25
Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.15, device='', exist_ok=False, img_size=640, iou_thres=0.25, name='exp', project='runs/detect', save_conf=False, save_txt=False, source='data/img', update=False, view_img=False, weights=['runs/train/exp4/weights/best.pt'])
Using torch 1.8.1+cu111 CUDA:0 (NVIDIA GeForce RTX 3080 Laptop GPU, 16383.5MB)


Fusing layers...
Model Summary: 308 layers, 21037638 parameters, 0 gradients, 50.3 GFLOPS
image 1/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\168.jpg: 640x640 1 boundarys, Done. (0.016s)
image 2/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\2.jpg: 640x640 1 boundarys, Done. (0.033s)
image 3/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\267.jpg: 640x640 1 boundarys, Done. (0.032s)
image 4/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\311.jpg: 640x640 1 boundarys, Done. (0.027s)
image 5/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\363.jpg: 640x640 1 boundarys, Done. (0.027s)
image 6/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\406.jpg: 640x640 1 boundarys, Done. (0.028s)
image 7/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\50.jpg: 640x640 1 boundarys, Done. (0.028s)
image 8/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\59.jpg: 640x640 Done. (0.026s)
image 9/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\63.jpg: 640x640 1 boundarys, Done. (0.027s)
image 10/10 H:\PytorchProject\yolov5_train_xinru_2023050901\data\img\86.jpg: 640x640 1 boundarys, Done. (0.028s)
Results saved to runs\detect\exp4
Done. (0.638s)

(wind_2021) H:\PytorchProject\yolov5_train_xinru_2023050901>
复制代码

 

 

 

 

 

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posted @   西北逍遥  阅读(64)  评论(0编辑  收藏  举报
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