前言

本文记录一下在linux系安装PaddleDetection的过程，使用Conda的方式来安装；

（尝试过docker的方式，无法获取镜像；尝试过pip的方式，提升找不到库；最终使用Conda成功安装了。）

目录

前言

一、设置国内源加速Conda

二、创建Conda环境

三、安装PaddlePaddle

四、安装PaddleDetection

---

一、设置国内源加速Conda

在Linux系统中，通过修改condarc文件，进行配置conda的源

vim ~/.condarc

 改为如下所示：

show_channel_urls: true
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

二、创建Conda环境

创建一个Conda环境，名称为PaddleDetection，指定python的版本为3.8

conda create -n PaddleDetection python=3.8

进入环境

conda activate PaddleDetection

三、安装PaddlePaddle

首先来到官网，选择合适的CUDA版本，我选择了最新的CUDA11.7

https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/install/conda/linux-conda.html

 根据上图的安装信息（命令），进行安装；

conda install paddlepaddle-gpu==2.4.2 cudatoolkit=11.7 -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/Paddle/ -c conda-forge

然后配置环境变量（不配置的，在使用时会出现如下错误）

dynamic_loader.cc:307] The third-party dynamic library (libcudnn.so) that Paddle depends on is not configured correctly. (error code is /usr/local/cuda/lib64/libcudnn.so: cannot open shared object file: No such file or directory)

用conda env list，查询环境的路径

(PaddleDetection) root@bap3ac2457:/guopu # conda env list

# conda environments:
#
base                     /opt/conda
PaddleDetection       *  /opt/conda/envs/PaddleDetection

能看到刚创建的Conda的路径为 /opt/conda/envs/PaddleDetection

添加/opt/conda/envs/PaddleDetection/lib/到环境变量中.bashrc

echo "export LD_LIBRARY_PATH=/opt/conda/envs/PaddleDetection/lib/">>~/.bashrc

测试是否安装成功

# 确认PaddlePaddle安装成功
python -c "import paddle; paddle.utils.run_check()"

# 确认PaddlePaddle版本
python -c "import paddle; print(paddle.__version__)"

看到成功打印信息

(PaddleDetection) root@bap3ac2457:/guopu# python -c "import paddle; paddle.utils.run_check()"
Running verify PaddlePaddle program ... 
W0508 08:48:03.937019 44515 gpu_resources.cc:61] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.8, Runtime API Version: 11.7
W0508 08:48:03.950474 44515 gpu_resources.cc:91] device: 0, cuDNN Version: 8.4.
PaddlePaddle works well on 1 GPU.
PaddlePaddle works well on 1 GPUs.
PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.
(PaddleDetection) root@bap3ac2457:/guopu# 

四、安装PaddleDetection

首先下载PaddleDetection代码

git clone https://github.com/PaddlePaddle/PaddleDetection.git

进入工程目录

cd PaddleDetection

使用pip安装依赖，可以使用 -i https://pypi.tuna.tsinghua.edu.cn/simple 加速安装

pip install -r requirements.txt

如果安装pycocotools报错了，参考https://blog.csdn.net/weixin_57096837/article/details/122775990

编译安装paddledet

python setup.py install

如果出现下载一些库错误，比如pyclipper，那么手动安装：pip install pyperclip，再执行python setup.py install

如果出现error: protobuf 3.20.0 is installed but protobuf>=3.20.2 is required by {'onnx'}，执行：pip install protobuf==3.20.3

测试环境

安装后确认测试通过：

python ppdet/modeling/tests/test_architectures.py

测试通过后会提示如下信息：

(PaddleDetection) root@bap3ac2457:/guopu/PaddleDetection# python ppdet/modeling/tests/test_architectures.py
Warning: Unable to use numba in PP-Tracking, please install numba, for example(python3.7): `pip install numba==0.56.4`
Warning: Unable to use numba in PP-Tracking, please install numba, for example(python3.7): `pip install numba==0.56.4`
W0510 00:52:22.579213 47617 gpu_resources.cc:61] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.8, Runtime API Version: 11.7
W0510 00:52:22.590267 47617 gpu_resources.cc:91] device: 0, cuDNN Version: 8.4.
.......
----------------------------------------------------------------------
Ran 7 tests in 3.731s

OK
(PaddleDetection) root@bap3ac2457:/guopu/PaddleDetection# 

如果打印以上信息，说明安装完成啦~