YOLO遇到的报错问题合集
一，环境搭建问题
神经网络学习小记录42——windows下的tensorflow-gpu=1.13.2环境配置
https://blog.csdn.net/weixin_44791964/article/details/104702142
https://blog.csdn.net/weixin_38109583/article/details/93376954
二.目标检测系列：搭建yolov3（一）识别车流图片
https://zhuanlan.zhihu.com/p/100942318
python -m pip install opencv-python -i https://pypi.douban.com/simple
视屏检测：https://blog.csdn.net/liudehua6/article/details/108221440
报错：ModuleNotFoundError: No module named 'PIL'解决方法
pip install matplotlib -i https://pypi.douban.com/simple
报错：ModuleNotFoundError: No module named 'cv2'
pip install opencv-python -i https://pypi.douban.com/simple
训练模型报错：ModuleNotFoundError: No module named 'tqdm'
pip install tqdm
conda install tqdm
解决Python提示No module named 'pkg_resources'错误
pip install distribute
pytorch+yolov5+deepsort训练报错RuntimeError: “unfolded2d_copy“ not implemented for ‘Half‘
解决方法：将检测模块中的.half()全部改成.float()
神经网络学习小记录42——windows下的tensorflow-gpu=1.13.2环境配置
https://blog.csdn.net/weixin_44791964/article/details/104702142
https://blog.csdn.net/weixin_38109583/article/details/93376954
二.目标检测系列：搭建yolov3（一）识别车流图片
https://zhuanlan.zhihu.com/p/100942318
python -m pip install opencv-python -i https://pypi.douban.com/simple
视屏检测：https://blog.csdn.net/liudehua6/article/details/108221440
报错：ModuleNotFoundError: No module named 'PIL'解决方法
pip install matplotlib -i https://pypi.douban.com/simple
报错：ModuleNotFoundError: No module named 'cv2'
pip install opencv-python -i https://pypi.douban.com/simple
训练模型报错：ModuleNotFoundError: No module named 'tqdm'
pip install tqdm
conda install tqdm
解决Python提示No module named 'pkg_resources'错误
pip install distribute
pytorch+yolov5+deepsort训练报错RuntimeError: “unfolded2d_copy“ not implemented for ‘Half‘
解决方法：将检测模块中的.half()全部改成.float()
出现No module named 'yaml'错误解决办法
pip install pyyaml
YOLO v5与YOLO v4的区别
因此，据说YOLO v5比YOLO v4极其快速，轻巧，而准确性与YOLO v4基准相当。
三.labelimg的安装
pip install labelimg -i https://pypi.douban.com/simple
运行labelimg直接命令行输入：labelimg
出现No module named 'yaml'错误解决办法 pip install pyyaml YOLO v5与YOLO v4的区别 因此，据说YOLO v5比YOLO v4极其快速，轻巧，而准确性与YOLO v4基准相当。 三.labelimg的安装 pip install labelimg -i https://pypi.douban.com/simple 运行labelimg直接命令行输入：labelimg
