[TOC]
Caffe install in RadHat
官方教程
https://caffe.berkeleyvision.org/installation.html
readme
git clone --recursive https://github.com/rbgirshick/py-faster-rcnn.git
$FRCN_ROOT = py-faster-rcnn
cd $FRCN_ROOT/lib
make
cd $FRCN_ROOT/caffe-fast-rcnn
# Now follow the Caffe installation instructions here:
# http://caffe.berkeleyvision.org/installation.html
# If you're experienced with Caffe and have all of the requirements installed
# and your Makefile.config in place, then simply do:
make -j8 && make pycaffe
RHEL requires
sudo yum install protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel
sudo yum install gflags-devel glog-devel lmdb-devel
# 依赖项未安装
protoc: Command not found
./include/caffe/util/mkl_alternate.hpp:11:19: fatal error: cblas.h: No such file or directory
如果失败,见链接手动安装
其他教程
https://www.zybuluo.com/huynh/note/227144
Other dependency
- CUDA 可暂时不开
- Open BLAS install
git clone https://github.com/xianyi/OpenBLAS.git
cd OpenBLAS
make -j4
make install--
配置一下 caffe 的makefile.config
BLAS := open
BLAS_INCLUDE := /opt/OpenBLAS/include
BLAS_LIB := /opt/OpenBLAS/lib
https://blog.csdn.net/quheDiegooo/article/details/53082809
- Boost install
tar xvf boost_1_56_0.tar.bz2
cd boost_1_57_0/
然后运行:
./bootstrap.sh --with-libraries=system,thread,python,filesystem
./b2
- Pyconfig.h not such file
/usr/local/include/boost/python/detail/wrap_python.hpp:50:23: fatal error: pyconfig.h: No such file or directory
sudo yum install python-devel.x86_64
https://github.com/BVLC/caffe/issues/410
- hdf5源码安装
No match for argument: hdf5-devel Error: Unable to find a match: hdf5-devel
download hdf5 - check 一下version
- Headers are 1.8.18, library is 1.8.12
https://www.hdfgroup.org/downloads/hdf5/
install
https://blog.csdn.net/luoying_1993/article/details/53228473
- ImportError: No module named skimage.io
sudo pip install scikit-image
Installing collected packages: pyparsing, backports.functools-lru-cache, subprocess32, pytz, python-dateutil, kiwisolver, cycler, matplotlib, scikit-image
Cannot uninstall 'pyparsing'.
# 安装较新的版本
sudo pip install -I pyparsing==2.2.0
https://blog.huihut.com/2018/10/13/PyparsingFailsToUninstallCausingErrorInInstallingMatplotlib/
https://github.com/yahoo/open_nsfw/issues/13
- numpy 版本过低 如果卸载不掉,直接强行删掉 sudo rm -rf /usr/lib64/python2.7/site-packages/numpy* 一种方法是直接升级,但是可能会失败 sudo pip install -U numpy 另一种方法直接安装 特定版本,成功率比较高 $sudo pip install -U numpy==1.12.0
- leveldb 手动安装1.7.0版本
https://www.cnblogs.com/Crysaty/p/6272994.html
- 手动安装opencv https://blog.csdn.net/antony1776/article/details/73528028 手动安装opencv ,然后拷贝到python库中
wget https://github.com/opencv/opencv/archive/2.4.13.zip
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_NEW_PYTHON_SUPPORT=ON -D BUILD_EXAMPLES=ON .
make
make install
cp ./lib/cv2.so /usr/lib/python2.7/site-packages/
cp ./modules/python/src2/cv.py /usr/lib/python2.7/site-packages/
- 可能依赖的python模块
- ImportError: No module named easydict Cpython
sudo yum install Cython
sudo pip install easydict
- ImportError: No module named google.protobuf.internal
sudo pip install protobuf
- ImportError: No module named google.protobuf.internal
sudo yum install tkinter
https://stackoverflow.com/questions/36327134/matplotlib-error-no-module-named-tkinter
- No module named cv2
sudo pip install opencv-python
https://stackoverflow.com/questions/19876079/cannot-find-module-cv2-when-using-opencv 手动安装opencv即可
https://blog.csdn.net/u010668907/article/details/51112899
- need caffe
Traceback (most recent call last):
File "./tools/demo.py", line 18, in <module>
from fast_rcnn.test import im_detect
File "/data/home/lingyao.zcq/py-faster-rcnn/tools/../lib/fast_rcnn/test.py", line 16, in <module>
import caffe
- 手动安装libglog
/usr/local/lib/libglog.a: error adding symbols: Bad value collect2: error: ld returned 1 exit status
CXXFLAGS="-O3 -fPIC" ./configure
安装目录
/usr/bin/install
wget https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/google-glog/glog-0.3.3.tar.gz
tar zxvf glog-0.3.3.tar.gz
cd glog-0.3.3
#./configure
./configure CXXFLAGS=-fPIC
make && sudo make install
再看一是否需要拷贝到/usr/lib
- 需要使用 -fPIC 重新编译
- 类似问题 可能出现在 protobuf/gflags/glog 下载源码,添加CFLAG=”-fPIC”进行编译
https://blog.csdn.net/h_jlwg6688/article/details/52410959
https://stackoverflow.com/questions/33634711/caffe-recompile-with-fpic-libglog-a-error
https://www.cnblogs.com/youxin/p/5086937.html
https://www.cnblogs.com/xiehongfeng100/p/4375613.html
- make runtest 出错
已解决,需要添加环境变量
export LD_LIBRARY_PATH=/usr/local/OpenBlas/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/home/lingyao.zcq/caffe_depend_opt/OpenBLAS/lib:$LD_LIBRARY_PATH
# hdf5
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
Warning! ***HDF5 library version mismatched error***
# level db
export LD_LIBRARY_PATH=/usr/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/home/lingyao.zcq/depend/protobuf:$LD_LIBRARY_PATH
down vote accepted I added the line ->
/usr/local/lib to /etc/ld.so.conf
and then ran sudo ldconfig.
Problem solved.
- make lib dir first
https://github.com/rbgirshick/py-faster-rcnn/issues/8
- Nvidia 驱动安装
Edit /etc/default/grub. Append the following to “GRUB_CMDLINE_LINUX”
rd.driver.blacklist=nouveau nouveau.modeset=0
vim /etc/default/grub
find
“GRUB_CMDLINE_LINUX”
add
rd.driver.blacklist=nouveau nouveau.modeset=0
vim etc/modprobe.d/blacklist.conf
blacklist nouveau
Generate a new grub configuration to include the above changes.
grub2-mkconfig -o /boot/grub2/grub.cfg
Edit/create /etc/modprobe.d/blacklist.conf and append:
blacklist nouveau
(*optional*)Backup your old initramfs and then build a new one
mv /boot/initramfs-$(uname -r).img /boot/initramfs-$(uname -r)-nouveau.img
dracut /boot/initramfs-$(uname -r).img $(uname -r)
Reboot your machine
nvidia 16594374 21
ipmi_msghandler 46609 3 ipmi_devintf,nvidia,ipmi_si
i2c_core 40582 7 ast,drm,igb,i2c_i801,drm_kms_helper,i2c_algo_bit,nvidia
lsmod | grep nvidia
nvidia_drm 19164 0
nvidia_modeset 1036498 1 nvidia_drm
nvidia_uvm 782669 0
nvidia 16594374 23 nvidia_modeset,nvidia_uvm
ipmi_msghandler 46609 3 ipmi_devintf,nvidia,ipmi_si
drm 349262 5 ast,ttm,drm_kms_helper,nvidia_drm
i2c_core 40582 7 ast,drm,igb,i2c_i801,drm_kms_helper,i2c_algo_bit,nvidia
To see who are using nvidia: sudo lsof | grep nvidia
then stop services or processes using nvidia
https://www.linuxquestions.org/questions/linux-kernel-70/how-to-force-remove-a-kernel-module-686210
Usage
cd caffe_faster_rcnn_quantize
# compile lib
cd lib
make -j
cd ../
# compile caffe
cd caffe-fast-rcnn
make -j && make pycaffe
cd caffe_faster_rcnn_quantize
# 替换的net.cpp
# 重新make -j && make pycaffe
# 2d model
# run demo
$python quantize_pose/demo_inference.py ../faster_.prototxt ../faster_.caffemodel --images_path_list poselist.txt --images_root_folder ./posetest/
# --images_path_list 图片列表保存图片路径的list
# --images_root_folder 真是图片存放的文件夹 ./posetest/