科研繁忙呀，挤出时间做一期视频
SAM展示
https://segment-anything.com/
下载CUDA 11.8
https://developer.nvidia.com/cuda-downloads
百度网盘：
链接：https://pan.baidu.com/s/1bEbCftypWZatNmhYptZesw?pwd=dt38
提取码：dt38
阿里云盘：
https://www.aliyundrive.com/s/mRDqMB84S86
打开cmd，输入 nvcc -V
下载CUDNN
百度网盘：
链接：https://pan.baidu.com/s/1q0dVHlvcfa442kWe2AGv7g?pwd=xytk
提取码：xytk
粘贴到安装位置
在anaconda中创建新环境
conda create -n SAM python==3.8
conda activate SAM
下载torch2.0.0
https://pytorch.org/get-started/locally/
下载VSCODE
https://code.visualstudio.com/Download
链接：https://pan.baidu.com/s/1k4FoWHaZLsTSk9RtIBkrCA?pwd=98kk
提取码：98kk
下载GIT
https://git-scm.com/download
https://blog.csdn.net/qq_41521682/article/details/122764915
下载SAM
https://github.com/facebookresearch/segment-anything
git clone https://github.com/facebookresearch/segment-anything.git
cd segment-anything
pip install -e .
pip install opencv-python pycocotools matplotlib onnxruntime onnx
