随笔分类 - 深度学习
摘要：(wind_2021) J:\PytorchProject\yolov5_train_car_2024060501> (wind_2021) J:\PytorchProject\yolov5_train_car_2024060501>python train_20230320.py --img-si
阅读全文
摘要：CJJC项目实验环境配置 (base) D:\> (base) D:\>conda create -n wind_2022 python==3.7 Solving environment: done ## Package Plan ## environment location: D:\Anacon
阅读全文
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
阅读全文
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
阅读全文
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
阅读全文
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
阅读全文
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
阅读全文
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
阅读全文
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_
阅读全文
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
阅读全文
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 ###
阅读全文
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 --
阅读全文
摘要：工控机配置日志 done # # To activate this environment, use # # $ conda activate wind_2022 # # To deactivate an active environment, use # # $ conda deactivate
阅读全文
摘要：yolov5训练警告反光标检测模型日志 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml myvoc.yaml train: VOC_2022052001/train.txt val: VOC_2022052001/val.txt # number of classes nc: 1
阅读全文
摘要：训练日志 Epoch gpu_mem box obj cls total targets img_size 348/359 5.11G 0.01274 0.009867 0 0.02261 70 640: 100%|██████████████████████████████████████████
阅读全文
摘要：pytorch yolov5两块gpu训练日志： python train_2022051802.py --img-size 640 --batch-size 4 --epochs 300 --data ./data/myvoc.yaml --cfg ./models/yolov5m.yaml --
阅读全文
摘要：大服务器 pytorch环境配置 1、conda create -n wind_torch_2022 python==3.7 (base) bim@bim-PowerEdge-R730:~$ (base) bim@bim-PowerEdge-R730:~$ conda create -n wind_
阅读全文
摘要：大服务器环境配置 1、conda create -n wind_tf2 python==3.7 (base) bim@bim-PowerEdge-R730:~$ (base) bim@bim-PowerEdge-R730:~$ (base) bim@bim-PowerEdge-R730:~$ con
阅读全文
摘要：TensorFlow2 models git clone https://github.com/tensorflow/models.git (mask_rcnn_tf2) bim@bim-PowerEdge-R730:~/tensorflow_project$ git clone https://g
阅读全文
摘要：yolov5训练分割钢筋区域的模型 使用yolov5训练分割钢筋区域的模型，用于yolov5识别钢筋并计数(yolov5钢筋计数) 1、标注数据 2、整理数据 3、训练：修改：myvoc.yaml myvoc.yaml train: VOC_2022050101/train.txt val: VOC
阅读全文
