Ubuntu18.04安装caffepython3.6opencv3.2CPU

 1 # python3 modules (numpy, protobuf, skimage)
 2 sudo pip3 install numpy
 3 sudo apt-get install python3-skimage
 4 sudo apt-get install python3-protobuf
 5 
 6 # build essential
 7 sudo apt-get install build-essential cmake git pkg-config
 8 
 9 # gflags, glog, lmdb
10 sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev
11 
12 # boost
13 sudo apt-get install libboost-all-dev
14 
15 # hdf5
16 sudo apt-get install libhdf5-dev
17 
18 # protobuf
19 sudo apt-get install protobuf-compiler libprotobuf-dev
20 
21 # blas
22 sudo apt-get install libblas-dev libcblas-dev libatlas-base-dev libopenblas-dev
23 
24 # leveldb
25 sudo apt-get install libleveldb-dev
26 
27 # snappy
28 sudo apt-get install libsnappy-dev

1 unzip opencv-3.2.0.zip
2 cd opencv-3.2.0
3 mkdir release
4 cd release
5 cmake ..
6 make -j4
7 sudo make install

  1 ## Refer to http://caffe.berkeleyvision.org/installation.html
  2 # Contributions simplifying and improving our build system are welcome!
  3 
  4 # cuDNN acceleration switch (uncomment to build with cuDNN).
  5 # USE_CUDNN := 1
  6 
  7 # CPU-only switch (uncomment to build without GPU support).
  8 CPU_ONLY := 1
  9 
 10 # uncomment to disable IO dependencies and corresponding data layers
 11 # USE_OPENCV := 0
 12 # USE_LEVELDB := 0
 13 # USE_LMDB := 0
 14 # This code is taken from https://github.com/sh1r0/caffe-android-lib
 15 # USE_HDF5 := 0
 16 
 17 # uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
 18 #    You should not set this flag if you will be reading LMDBs with any
 19 #    possibility of simultaneous read and write
 20 # ALLOW_LMDB_NOLOCK := 1
 21 
 22 # Uncomment if you're using OpenCV 3
 23 OPENCV_VERSION := 3
 24 
 25 # To customize your choice of compiler, uncomment and set the following.
 26 # N.B. the default for Linux is g++ and the default for OSX is clang++
 27 # CUSTOM_CXX := g++
 28 
 29 # CUDA directory contains bin/ and lib/ directories that we need.
 30 CUDA_DIR := /usr/local/cuda
 31 # On Ubuntu 14.04, if cuda tools are installed via
 32 # "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
 33 # CUDA_DIR := /usr
 34 
 35 # CUDA architecture setting: going with all of them.
 36 # For CUDA <6.0, comment the *_50 through *_61 lines for compatibility.
 37 # For CUDA <8.0, comment the *_60 and *_61 lines for compatibility.
 38 # For CUDA >= 9.0, comment the *_20 and *_21 lines for compatibility.
 39 CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
 40         -gencode arch=compute_20,code=sm_21 \
 41         -gencode arch=compute_30,code=sm_30 \
 42         -gencode arch=compute_35,code=sm_35 \
 43         -gencode arch=compute_50,code=sm_50 \
 44         -gencode arch=compute_52,code=sm_52 \
 45         -gencode arch=compute_60,code=sm_60 \
 46         -gencode arch=compute_61,code=sm_61 \
 47         -gencode arch=compute_61,code=compute_61
 48 
 49 # BLAS choice:
 50 # atlas for ATLAS (default)
 51 # mkl for MKL
 52 # open for OpenBlas
 53 BLAS := atlas
 54 # Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
 55 # Leave commented to accept the defaults for your choice of BLAS
 56 # (which should work)!
 57 # BLAS_INCLUDE := /path/to/your/blas
 58 # BLAS_LIB := /path/to/your/blas
 59 
 60 # Homebrew puts openblas in a directory that is not on the standard search path
 61 # BLAS_INCLUDE := $(shell brew --prefix openblas)/include
 62 # BLAS_LIB := $(shell brew --prefix openblas)/lib
 63 
 64 # This is required only if you will compile the matlab interface.
 65 # MATLAB directory should contain the mex binary in /bin.
 66 # MATLAB_DIR := /usr/local
 67 # MATLAB_DIR := /Applications/MATLAB_R2012b.app
 68 
 69 # NOTE: this is required only if you will compile the python interface.
 70 # We need to be able to find Python.h and numpy/arrayobject.h.
 71 #PYTHON_INCLUDE := /usr/include/python2.7 \
 72 #        /usr/lib/python2.7/dist-packages/numpy/core/include
 73 # Anaconda Python distribution is quite popular. Include path:
 74 # Verify anaconda location, sometimes it's in root.
 75 # ANACONDA_HOME := $(HOME)/anaconda
 76 # PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
 77         # $(ANACONDA_HOME)/include/python2.7 \
 78         # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
 79 
 80 # Uncomment to use Python 3 (default is Python 2)
 81 PYTHON_LIBRARIES := boost_python3 python3.6m
 82 PYTHON_INCLUDE := /usr/include/python3.6m \
 83 #                 /usr/lib/python3.6/dist-packages/numpy/core/include
 84 
 85 # We need to be able to find libpythonX.X.so or .dylib.
 86 PYTHON_LIB := /usr/lib
 87 # PYTHON_LIB := $(ANACONDA_HOME)/lib
 88 
 89 # Homebrew installs numpy in a non standard path (keg only)
 90 # PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
 91 # PYTHON_LIB += $(shell brew --prefix numpy)/lib
 92 
 93 # Uncomment to support layers written in Python (will link against Python libs)
 94 WITH_PYTHON_LAYER := 1
 95 
 96 # Whatever else you find you need goes here.
 97 INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial
 98 LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu/hdf5/serial
 99 
100 # If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
101 # INCLUDE_DIRS += $(shell brew --prefix)/include
102 # LIBRARY_DIRS += $(shell brew --prefix)/lib
103 
104 # NCCL acceleration switch (uncomment to build with NCCL)
105 # https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
106 # USE_NCCL := 1
107 
108 # Uncomment to use `pkg-config` to specify OpenCV library paths.
109 # (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
110 # USE_PKG_CONFIG := 1
111 
112 # N.B. both build and distribute dirs are cleared on `make clean`
113 BUILD_DIR := build
114 DISTRIBUTE_DIR := distribute
115 
116 # Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
117 # DEBUG := 1
118 
119 # The ID of the GPU that 'make runtest' will use to run unit tests.
120 TEST_GPUID := 0
121 
122 # enable pretty build (comment to see full commands)
123 Q ?= @