随笔分类 - yolov
摘要：(wind_2021) J:\PytorchProject\yolov5_train_pest_2024061501> (wind_2021) J:\PytorchProject\yolov5_train_pest_2024061501> (wind_2021) J:\PytorchProject\
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摘要：(wind_2021) J:\PytorchProject\yolov5_train_car_2024060501> (wind_2021) J:\PytorchProject\yolov5_train_car_2024060501>python train_20230320.py --img-si
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摘要：(wind_2021) J:\PytorchProject\yolov5_train_car_2024051001> (wind_2021) J:\PytorchProject\yolov5_train_car_2024051001> (wind_2021) J:\PytorchProject\yo
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摘要：yolov5训练栏杆检测模型日志记录 (wind_2021) H:\PytorchProject\yolov5_train_xinru_2023050901> (wind_2021) H:\PytorchProject\yolov5_train_xinru_2023050901> (wind_202
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摘要：训练yolov5 模型 (wind_2021) H:\PytorchProject\yolov5_train_xiaotian_2023031401> (wind_2021) H:\PytorchProject\yolov5_train_xiaotian_2023031401>python trai
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摘要：alphapose win10运行日志 (base) H:\PytorchProject\AlphaPose-master> (base) H:\PytorchProject\AlphaPose-master> (base) H:\PytorchProject\AlphaPose-master>co
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摘要：YOLOv7_OBB 运行异常记录 (wind_2021) H:\PytorchProject\YOLOv7_OBB-main> (wind_2021) H:\PytorchProject\YOLOv7_OBB-main>python detect.py --weights 'models/yolo
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摘要：yolov5训练洞口检测模型 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml 4、开始训练 (wind_2021) H:\PytorchProject\yolov5_train_hole> (wind_2021) H:\PytorchProject\yolov5_train_hol
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摘要：error log (wind_torch_2022) bim@bim-PowerEdge-R730:~/Pytorch_Project/yolov5_train_warning$ python train_20220602.py --batch-size 1 --epochs 300 --data
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摘要：1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml train: VOC_2022063001/train.txt val: VOC_2022063001/val.txt # number of classes nc: 1 # class names names: ["rectz_ci
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摘要：yolov5训练识别人、反光衣、安全带、安全绳、安全帽 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml train: VOC_2022061401/train.txt val: VOC_2022061401/val.txt # number of classes nc: 5 # c
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摘要：yolov5训练日志 python train_20220613.py --batch-size 2 --epochs 220 --data ./data/myvoc.yaml --cfg ./models/yolov5m.yaml --workers 0 (wind_2021) F:\Pytorc
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摘要：yolov5训练表示识别模型日志记录 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml train: VOC_2022060901/train.txt val: VOC_2022060901/val.txt # number of classes nc: 1 # class name
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摘要：yolov5模型训练过程中显卡使用率查询——记录 vidia-smi (base) F:\> (base) F:\>nvidia-smi Thu Jun 9 14:02:16 2022 + + | NVIDIA-SMI 497.17 Driver Version: 497.17 CUDA Versi
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摘要：yolov5 python train_20220602.py --batch-size 2 --epochs 300 --data ./data/myvoc.yaml --cfg ./models/yolov5x.yaml --workers 0 --device 0,1 (wind_torch_
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摘要：yolov5 log (base) bim@bim-PowerEdge-R730:~$ nvidia-smi Fri Jun 3 16:45:39 2022 + + | NVIDIA-SMI 470.103.01 Driver Version: 470.103.01 CUDA Version: 11
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摘要：yolov5训练日志 (wind_torch_2022) bim@bim-PowerEdge-R730:~/Pytorch_Project/yolov5_train_hat$ (wind_torch_2022) bim@bim-PowerEdge-R730:~/Pytorch_Project/yol
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摘要：训练日志 tesla p100 python train_20220602.py --batch-size 2 --epochs 300 --data ./data/myvoc.yaml --cfg ./models/yolov5m.yaml --workers 0 --decive 0,1 ###
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摘要：yolov5训练警告反光标检测模型日志 1、开始训练 python train_20220601.py --img-size 640 --batch-size 4 --epochs 300 --data ./data/myvoc.yaml --cfg ./models/yolov5m.yaml --
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摘要：1 AngleSensorST Short(2byte) 相机与PC设备状态，内容如下。 h 0=ERR(例如相机与PC的连接失败) 1=OK(正常无错误) 2=ERR2(例如相机搜索不到目标) 3=ERR3(例如相机距离目标太近<0.5m) 4=ERR4(例如相机距离目标太远>20m) 5=ERR
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