Prerequisites
1.BLAS via ATLAS, MKL, or OpenBLAS.
2.Boost >= 1.55
3.protobuf, glog, gflags, hdf5
4.OpenCV >= 2.4 including 3.0
Optional dependencies:
1.CUDA is required for GPU mode.
library version 7+ and the latest driver version are recommended, but 6.* is fine too
5.5, and 5.0 are compatible but considered legacy
2.IO libraries: lmdb, leveldb (note: leveldb requires snappy)
4.cuDNN for GPU acceleration (v6)
1)Install cmake-3.9
1) unzip cmake_3.9.zip
2) cd CMake_master
3) ./bootstrap --prefix=/data0/sina_cre/install/local/cmake_3.9
4) make
5) make install
2)Install Boost_1_64_0
1. unzip boost_1_64_0.zip
2. cd boost_1_64_0
3. ./bootstrap.sh --with-python=/data0/sina_cre/python/bin/python
4. ./b2 install --prefix=/data0/sina_cre/install/local/boost_1_64_0/
3)Install Opencv-2.4.11
1. unzip opencv-2.4.11.zip
2. cd opencv-2.4.11
3. mkdir release
4. cd release
5. cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/data0/sina_cre/install/local/opencv-2.4.11 BUILD_PYTHON_SUPPORT=ON WITH_FFMPEG=YES -D CUDA_GENERATION=Kepler -DOPENCV_EXTRA_MODULES_PATH=/data0/home/wangchao16/package/opencv_contrib-master/modules/ (3.2 -D WITH_LIBV4L=ON)..
6. make
7. make install
4)Install OpenBLAS-0.2.19
1. tar xf openblas-0.2.19.tar.gz
2. cd OpenBLAS-0.2.19/
3. make
4. make PREFIX=/data0/sina_cre/install/local/openblas-0.2.19 install
5)Install protobuf-3.3.0
1. unzip protobuf-3.3.0.zip
2. cd protobuf-master
3. ./autogen.sh
4. ./configure --prefix=/data0/sina_cre/install/local/protobuf-3.3.0
5. make
6. make check
7. make install
6)Install glog
1. unzip glog.zip
2. cd glog-master
3. ./autogen.sh
4. ./configure --prefix=/data0/sina_cre/install/local/glog
5. make
6. make install
7)Install gflags
1. unzip glags.zip
2. cd gflags-master
3. mkdir build && cd build
4. ccmake ..
- Press 'c' to configure the build system and 'e' to ignore warnings.
- Set CMAKE_INSTALL_PREFIX and other CMake variables and options.
- Continue pressing 'c' until the option 'g' is available.
- Then press 'g' to generate the configuration files for GNU Make.
5. make
6. make install (optional)
8)Install hdf5-1.8.19
1. tar xf hdf5-1.8.19
2. cd hdf5-1.8.19
3. ./configure --prefix=/data0/sina_cre/install/local/hdf5-1.8.19
4. make
5. make check
6. make install
7. make check-install
9)Install leveldb
1. unzip leveldb.zip
2. cd leveldb-master
3. make
4. cp -r out-shared lib
5. cp -r leveldb-master/ /data0/sina_cre/install/local/leveldb
10)Install LMDB_0.9.21
1. tar xf LMDB_0.9.21.tar.gz
2. cd lmdb-LMDB_0.9.21/libraries/liblmdb
3. make
4. cp -r liblmdb /data0/sina_cre/install/local/
11)Install snappy
1. unzip snappy.zip
2. mkdir build
3. cd build && cmake -DCMAKE_INSTALL_PREFIX=/data0/sina_cre/install/local/snappy ../ && make
12)Install caffe
1. cp Makefile.config.example Makefile.config
2. edit Makefile.config
3. make all
4. make test
5. make runtest
6. make pycaffe
Q:can not find module skimage.io
A:pip install scikit-image
Q:module compiled against API version 0xa but this version of numpy is 0x9
A:pip install numpy --upgrade
Q:No module named google.protobuf
A:pip install protobuf
Q:No module named cv2
A:pip install opencv-python
Q:找不到ffmepg
A:export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig;$PKG_CONFIG_PATH
Q:为什么我的opencv2.4版本ffmpeg编译不过
A：opencv2.4需要搭配低版本ffmepg(2.8而非3.3)
Q: Unsupported gpu architecture 'compute_11'
A:-D CUDA_GENERATION=Kepler
Q:Unable to stop the stream: Inappropriate ioctl for device
A:https://www.linuxtv.org/downloads/v4l-utils/ 装个v4l,重新编opencv
Q:为什么opencv读视频一直返回False
A：pip安装的opencv和编译安装的opencv只保留一个。
Q:ffmepg抽帧速度满
A:--disable-yasm要设成enable