autoware.ai中检测模块lidar_detector caffe
lidar_apollo_cnn_seg_detect模块：该模块主要是调用百度apollo的目标分割。
1.需要安装caffe进行实现:
caffe安装步骤：
git clone https://github.com/BVLC/caffe
cd caffe && mdkir build && cd build
cmake ..
出现报错：
CMake Error at cmake/Cuda.cmake:227 (message): cuDNN version >3 is required.
修改方法：
in Openpose change the cmake/cuda.cmake file and the /cmake/modules/FindCuDNN.cmake file.
Find the line that reads:
file(READ {CUDNN_INCLUDE}/cudnn.h CUDNN_VERSION_FILE_CONTENTS) change to: file(READ {CUDNN_INCLUDE}/cudnn_version.h CUDNN_VERSION_FILE_CONTENTS)
出现报错：
Could NOT find Atlas (missing: Atlas_CLAPACK_INCLUDE_DIR
Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY)
Call Stack (most recent call first):
/usr/share/cmake-3.10/Modules/FindPackageHandleStandardArgs.cmake:378 (_FPHSA_FAILURE_MESSAGE)
cmake/Modules/FindAtlas.cmake:43 (find_package_handle_standard_args)
cmake/Dependencies.cmake:121 (find_package)
CMakeLists.txt:49 (include)
解决方法：
sudo apt-get install libatlas-base-dev
出现报错：
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_cublas_device_LIBRARY (ADVANCED)
linked by target "caffe" in directory
解决方法：出现该问题是因为cmake版本不匹配：
cuda10 可以用cmake-3.14.3
cuda10.2 可以用cmake-3.17
我安装的是cuda 11.6，对应的cmake版本为cmake3.18.1，最新版本3.27.4不可用
由于安装ros后存在cmake，如果进行删除将会导致大量ros依赖被卸载，因此并未进行卸载，执行步骤为：
wget https://cmake.org/files/v3.18/cmake-3.18.1-Linux-x86_64.tar.gz
tar zxvf cmake-3.18.1-Linux-x86_64.tar.gz
mv cmake-3.18.1-Linux-x86_64 /opt/cmake-3.18.1
ln -sf /opt/cmake-3.18.1/bin/* /usr/bin/
cmake --version # 应该显示3.18.1
caffe 需要用make进行安装：
关于hdf5的问题：
Makefile中
将
LIBRARIES += hdf5_hl hdf5
改为
LIBRARIES += hdf5_serial_hl hdf5_serial
将Makefile.config中的路径：
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
改为
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial/
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib
执行make报错：编译Caffe时遇到的错误：leveldb/db.h文件找不到
sudo apt-get update
sudo apt-get install libleveldb-dev
寻找Makefile文件
LIBRARIES += leveldb
make clean
make
/usr/bin/ld: cannot find -lleveldb
/usr/bin/ld: cannot find -lsnappy
/usr/bin/ld: cannot find -lcblas
/usr/bin/ld: cannot find -latlas
sudo apt-get install libsnappy-dev
sudo apt-get install libatlas-base-dev
注：如果不清楚自己opencv版本型号，输入下面命令产看版本
pkg-config opencv --modversion
如果opencv有报错把这个解开
改为（根据自己OpenCV版本来，我的是3.2.0）：
OPENCV_VERSION :=3
CUDA_ARCH := -gencode需要改成自己型号
https://developer.nvidia.com/cuda-gpus
运行lidar_apollo_cnn_seg_detect.launch 报错：
error while loading shared libraries: libcaffe.so.1.0.0: cannot open shared object file: No such file or directory 运行时报错（caffe）
caffe安装好后lib没有配置到/usr/lib或/usr/local/lib中，需手动配置：
export LD_LIBRARY_PATH=/path_to_your_caffe/distribute/lib/:$LD_LIBRARY_PATH
lidar_euclidean_cluster_detect模块：该模块主要是用的欧式聚类算法进行聚类
出现报错：
error while loading shared libraries: libopencv_imgcodecs.so.4.3: cannot open shared object file : No such file or directory
解决办法：
$ find ~/ -name "libopencv_imgcodecs.so.407"
结果
/home/xxx/xxx/opencv-4.7.0/build/lib/libopencv_imgcodecs.so.407
将exprot LD_LIBRARY_PATH 插在~/.bashrc最后
export LD_LIBRARY_PATH=/home/xxx/xxx/opencv-4.7.0/build/lib/libopencv_imgcodecs.so.407
export LD_LIBRARY_PATH=*******:$LD_LIBRARY_PATH
*******为之前的路径