最近入坑的朋友注意，按官方安装说明走会有问题

[cz-cz]

因为课程作业指定用mmdetection
所以要用这个工程
主要是python版本和torch版本问题
还有版本号问题
但是官方好像不维护了
以下是我在RTX3070,CUDA12上安装过程
只跑了faster Rcnn训练
`
conda create --name openmmlab python=3.8 -y
conda activate openmmlab
pip install torch==1.13.1+cu116 torchvision==0.14.1+cu116 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu116
pip install -U openmim
mim install mmengine
mim install "mmcv>=2.0.0"
git clone https://github.com/open-mmlab/mmdetection.git
cd mmdetection

修改文件
mmdetection/mmdet/init.py
将版本号改为
mmcv_maximum_version = '2.5.0'

pip install -v -e .
`

我在RTX5070TI，CUDA12.8上也成功运行了faster Rcnn训练
使用了
onedl-mmdetection
他们对原有工程作了新版本的适配
按他们的安装指南可以在新硬件上运行faster Rcnn训练
会报错import faster_coco_eval没有COCOeval_faster
手动安装一下
pip install https://files.pythonhosted.org/packages/9a/93/85979136ecf76fdfa73724d94acf4977810c44306103e95b9b5753a35dda/faster_coco_eval-1.6.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
我在工程里搜索到了包的地址，不知道为啥没有自动安装，选一个匹配的安装
`
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`