添加打印，发现caffe的include是：caffe_INCLUDE_DIRS PUBLIC;/usr/include;PUBLIC;/usr/include;PUBLIC;/usr/include;PUBLIC;/usr/include;PUBLIC;/usr/include/hdf5/serial;PUBLIC;/usr/include;PUBLIC;/usr/include;PRIVATE;/usr/include;PUBLIC;/usr/local/cuda/include;PUBLIC;/usr/local/include/opencv4;PUBLIC;/usr/include/x86_64-linux-gnu;/usr/include/x86_64-linux-gnu; PRIVATE;/usr/include/python3.8;/usr/lib/python3/dist-packages/numpy/core/include;PUBLIC;/usr/include
所以需要将这个文件的根目录：/home/edward/git/libs/openpose2021/3rdparty/caffe/include/
直接修改CMakeLists.txt
set(Caffe_INCLUDE_DIRS ${Caffe_INCLUDE_DIRS};${PROJECT_SOURCE_DIR}/include)
--看起来是有效的，需要generate
cudnn的问题（去除cudnn）
1)home/edward/git/libs/openpose2021/3rdparty/caffe/src/caffe/layers/cudnn_conv_layer.cpp:136:7: error: ‘CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT’ was not declared in this scope
CUDNN_CONVOLUTION_FWD_SPECIFY_WORKSPACE_LIMIT,
suggested alternative: ‘CUDNN_CONVOLUTION_FWD_ALGO_DIRECT’
这个修改都按照最新cudnn的API来作适当的修改。
2)/home/edward/git/libs/openpose2021/3rdparty/caffe/src/caffe/layers/cudnn_conv_layer.cpp:131:17: error: there are no arguments to ‘cudnnGetConvolutionForwardAlgorithm’ that depend on a template parameter, so a declaration of ‘cudnnGetConvolutionForwardAlgorithm’ must be available [-fpermissive]
3)在Opencv3 cv::CV_LOAD_IMAGE_COLOR 已经找不到了，都用cv::IMREAD_COLOR替换
This means you need to use cv::CV_LOAD_IMAGE_COLOR when using OpenCv 3.0 instead of cv::IMREAD_COLOR
CV_LOAD_IMAGE_GRAYSCALE to cv::IMREAD_GRAYSCALE
The documentation for OpenCV 3.0 can be found here:
The current enum responsible for imread is:
enum cv::ImreadModes {
cv::IMREAD_UNCHANGED = -1,
cv::IMREAD_GRAYSCALE = 0,
cv::IMREAD_COLOR = 1,
cv::IMREAD_ANYDEPTH = 2,
cv::IMREAD_ANYCOLOR = 4,
cv::IMREAD_LOAD_GDAL = 8
}
4)向_v7转变主要涉及到conv_layer,deconv_layer等几个文件，都在layers目录下。
.
其他的一些问题：
7.1、编译得好好的之后（删除掉了use_Cudnn）莫名其妙出现
edward@Server-adiAi:~/software/openpose/3rdparty/caffe$ sudo make clean
Package opencv was not found in the pkg-config search path.
Perhaps you should add the directory containing `opencv.pc\'
to the PKG_CONFIG_PATH environment variable
No package \'opencv\' found
7.2执行如下语句时出现：pkg-config --cflags opencv
出现找不到opencv的错误
解决方法
cd /usr/local/lib
sudo mkdir pkgconfig
cd pkgconfig
sudo touch opencv.pc
---在文件中加入
prefix=http://www.likecs.com/usr/local
exec_prefix=${prefix}
includedir=${prefix}/include
libdir=${exec_prefix}/lib
Name: opencv
Description: The opencv library
Version:4.0.1
Cflags: -I${includedir}/opencv4
Libs: -L${libdir} -lopencv_shape -lopencv_stitching -lopencv_objdetect -lopencv_superres -lopencv_videostab -lopencv_calib3d -lopencv_features2d -lopencv_highgui -lopencv_videoio -lopencv_imgcodecs -lopencv_video -lopencv_photo -lopencv_ml -lopencv_imgproc -lopencv_flann -lopencv_core
7.3 设定PKG_CONFIG_PATH
export PKG_CONFIG_PATH=http://www.likecs.com/usr/local/lib/pkgconfig
可以写入到/etc/profile.d/cuda.sh，在Ubuntu系统中，/etc/profile.d/下面的sh文件都会在开机时启动。所以创建cuda.sh，在这个sh里面配置系统变量。
vim /etc/profile.d/cuda.sh
chmod a+x /etc/profile.d/cuda.sh
文件中添加：
export PKG_CONFIG_PATH=http://www.likecs.com/usr/local/lib/pkgconfig
检测结果可以执行：pkg-config --cflags --libs opencv
7.4. 编译Openpose的错误
fatal error: caffe/proto/caffe.pb.h: No such file or directory
解决：
打开终端，进入caffe所在路径
执行以下指令
mkdir include/caffe/proto
protoc ./src/caffe/proto/caffe.proto --cpp_out=.
mv ./src/caffe/proto/caffe.pb.h ./include/caffe/proto/
附录：caffe中Makefile.config详解
https://blog.csdn.net/jiaxinhong/article/details/82826391
#提前下好model减少配置时间sudo -- 可以直接通过 ./getModles.sh来操作
- [BODY_25 model](): download in `models/pose/body_25/`.
- [COCO model](): download in `models/pose/coco/`.
- [MPI model](): download in `models/pose/mpi/`.
- [Face model](): download in `models/face/`.
- [Hands model](): download in `models/hand/`.
将下好的model和caffe分别放入/openpose/models和/3rdparty/caffe
2、下载Models
cd models
./getModels.sh
cd ..
3、使用cmake-gui编译安装
使用cmake-gui进行配置检查opencv、cuda路径（配置步骤如下）
这里因为已经将caffe编译好了，所以可以直接编译openpose。去掉BUILD_CAFFE选项。BUID_PYTHON选项需要在仔细观察以下。
出现：
cmake-gui .. 出现
CMake Error at python/openpose/CMakeLists.txt:6 (pybind11_add_module): Unknown CMake command "pybind11_add_module".异常
解决办法：在3rdparty目录下执行：
git clone https://github.com/pybind/pybind11.git
在openpose目录下创建build文件夹：
sudo mkdir build
cd build
sudo /pathto/cmake-gui ..
sudo make
sudo make install
OpenCV的安装
安装OpenCV的依赖：
#启动
$ sudo apt-get update
$ sudo apt-get upgrade
# 安装依赖
$ sudo apt-get install build-essential cmake git unzip pkg-config
$ sudo apt-get install libjpeg-dev libpng-dev libtiff-dev
$ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev
$ sudo apt-get install libgtk2.0-dev libcanberra-gtk*
$ sudo apt-get install python3-dev python3-numpy python3-pip
$ sudo apt-get install libxvidcore-dev libx264-dev libgtk-3-dev
$ sudo apt-get install libtbb2 libtbb-dev libdc1394-22-dev
$ sudo apt-get install libv4l-dev v4l-utils
$ sudo apt-get install libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
$ sudo apt-get install libavresample-dev libvorbis-dev libxine2-dev
$ sudo apt-get install libfaac-dev libmp3lame-dev libtheora-dev
$ sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev
$ sudo apt-get install libopenblas-dev libatlas-base-dev libblas-dev
$ sudo apt-get install liblapack-dev libeigen3-dev gfortran
$ sudo apt-get install libhdf5-dev protobuf-compiler
$ sudo apt-get install libprotobuf-dev libgoogle-glog-dev libgflags-dev
# 创建 symlink to videodev.h
$ cd /usr/include/linux
$ sudo ln -s -f ../libv4l1-videodev.h videodev.h
$ cd ~
下载OpenCV
需要下载两个：opencv.zip 和 opencv_contrib.zip。也可到 https://opencv.org/releases/下载最新版本
git下载，并指定版本：
sudo git clone https://github.com/opencv/opencv.git
sudo git clone https://github.com/opencv/opencv_contrib.git
cd opencv
sudo git checkout -f 4.4.0
cd ../opencv_contrib
sudo git checkout -f 4.4.0
===
$ cd ~
$ wget -O opencv.zip https://github.com/opencv/opencv/archive/4.4.0.zip
$ wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/4.4.0.zip
$ unzip opencv.zip
$ unzip opencv_contrib.zip
$ mv opencv-4.4.0 opencv
$ mv opencv_contrib-4.4.0 opencv_contrib
$ cd opencv
$ mkdir build
$ cd build
$ sudo cmake-gui ..
这里推荐采用cmake-gui进行安装。
首先安装cmake-gui
然后再opencv下创建一个build, 进入build目录后，执行 /pathTo/cmake-gui ..
点击configure，然后再图形上进行配置，完成配置后，点generate。