配置YOLOv5-1.0版本,自己调试cpu版本环境时出现的问题

PyTorch与torchvision安装教程:CPU版本与版本升级问题及解决方案

一:下载安装包先是安装了cpu版本pytorch1.4.0,链接地址如下:

https://download.pytorch.org/whl/torch_stable.html 

下载相应版本的即可,如我的电脑anaconda下的yolov5的虚拟环境python=3.6,电脑时64位的,故下载时选了

torch-1.4.0+cpu-cp36-cp36m-win_amd64.whl

然后在激活环境后,切换到这个安装包所在的文件下,然后执行pip安装即可

pip install  torch-1.4.0+cpu-cp36-cp36m-win_amd64.whl

 二:当我以同样的方式安装torchvision时出现了问题,

pip install torchvision-0.5.0+cpu-cp36-cp36m-win_amd64.whl

报错

 ERROR: Exception:
Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\envs\yolov5\lib\site-packages\pip\_internal\cli\base_command.py", line 173, in _main
    status = self.run(options, args)
  File "C:\ProgramData\Anaconda3\envs\yolov5\lib\site-packages\pip\_internal\cli\req_command.py", line 203, in wrapper
    return func(self, options, args)
  File "C:\ProgramData\Anaconda3\envs\yolov5\lib\site-packages\pip\_internal\commands\install.py", line 316, in run
    reqs, check_supported_wheels=not options.target_dir
  File "C:\ProgramData\Anaconda3\envs\yolov5\lib\site-packages\pip\_internal\resolution\resolvelib\resolver.py", line 95, in resolve
    collected.requirements, max_rounds=try_to_a

PS D:\carallright\yolov5-6.6> & D:/carallright/yolov5-6.6/.conda/python.exe d:/carallright/yolov5-6.6/train.py train: weights=yolov5n.pt, cfg=my_data\my_yolov5n.yaml, data=my_data\my_coco128.yaml, hyp=my_data\my_hyp.scratch.yaml, epochs=170, batch_size=8, imgsz=640, rect=False, resume=False, nosave=False, noval=False, noautoanchor=False, evolve=None, bucket=, cache=None, image_weights=False, device=, multi_scale=False, single_cls=False, adam=False, sync_bn=False, workers=8, project=runs\train, name=exp, exist_ok=False, quad=False, linear_lr=False, label_smoothing=0.0, patience=100, freeze=0, save_period=-1, local_rank=-1, entity=None, upload_dataset=False, bbox_interval=-1, artifact_alias=latest github: skipping check (not a git repository), for updates see https://github.com/ultralytics/yolov5 requirements: scipy>=1.4.1 not found and is required by YOLOv5, attempting auto-update... requirements: 'pip install scipy>=1.4.1' skipped (offline) YOLOv5 2021-10-12 torch 2.7.1+cpu CPU hyperparameters: lr0=0.01, lrf=0.1, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0 Weights & Biases: run 'pip install wandb' to automatically track and visualize YOLOv5 runs (RECOMMENDED) TensorBoard: Start with 'tensorboard --logdir runs\train', view at http://localhost:6006/ WARNING: Dataset not found, nonexistent paths: ['D:\\carallright\\yolov5-6.6\\my_data\\my_data\\images\\train'] Traceback (most recent call last): File "d:\carallright\yolov5-6.6\train.py", line 620, in <module> main(opt) File "d:\carallright\yolov5-6.6\train.py", line 517, in main train(opt.hyp, opt, device, callbacks) File "d:\carallright\yolov5-6.6\train.py", line 103, in train data_dict = data_dict or check_dataset(data) # check if None File "d:\carallright\yolov5-6.6\utils\general.py", line 378, in check_dataset raise Exception('Dataset not found.') Exception: Dataset not found.
07-02
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值