配置refinedet环境

150服务器上配置refinedet环境。相关操作参照

安装虚拟环境命令;https://blog.csdn.net/a493823882/article/details/87888509

首先使用命令:

命令:进入<bash>环境

bash

进入conpy36的虚拟环境:

source activate conpy36

查看本机的cuda和cudnn是

cat /usr/local/cuda/version.txt

1. 1.     装python3的依赖项：

sudo apt-get install python3-pip

sudo apt-get install python3-scipy

sudo apt-get install python3-matplotlib

sudo apt-get install python3-skimage

sudo apt-get install python3-dev

sudo apt-get install python3-numpy

sudo apt-get install git cmake build-essential

sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg.dev libtiff4.dev libswscale-dev libjasper-dev

1. 2.     编译opencv

1.cd  opencv-3.4.3

2.mkdir build

3.cd build

4.cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..

运行完注意观察是否找到python3

5.make -j4

6.sudo make install

7. sudo vim /etc/ld.so.conf.d/opencv.conf(执行此命令后打开的可能是一个空白的文件，不用管，只需要在文件开始添加/usr/local/lib)

8.保存后执行sudo ldconfig（执行如下命令使得刚才的配置路径生效）

9.测试：终端输入python3, import cv2不报错则说明opencv安装成功

3. 编译Refinedet

  1.编译依赖项

       1.sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler

2. sudo apt-get install --no-install-recommends libboost-all-dev

3. sudo apt-get install libopenblas-dev liblapack-dev libatlas-base-dev

4. sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

5. sudo apt-get install git cmake build-essential

6. sudo pip3 install protobuf

2.编译caffe

       1.cd RefineDet

       2.make all -j4

       3.make py

3.测试：

  1. cd RefineDet/python

  2. 终端输入python3，import caffe

 4.报错和解决

       1. import caffe如果出现类似于 ld libboost_python3.so找不到错误，则采用以下方式解决

1.1cd /usr/lib/aarch64-linux-gnu/

1.2   

4.cd Pelee-TensorRT

cmake .

make

cp  build/lib/libperson.so  ../ actionDemo/so_library_dir/

完成！！！