CM Paras for installing OpenCV, as a reference. Pay attention to the paths and modify them accordingly.
-D CUDA_ARCH_BIN=‘6.1 6.2’
Turn all the EXAMPLES off, they are troublesome running on PX2.
ARCH_BIN should include ‘6.1 6.2’ at least.
Makefile.config content for installing Caffe (between the dotted line):
Contributions simplifying and improving our build system are welcome!
cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1
CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1
uncomment to disable IO dependencies and corresponding data layers
USE_OPENCV := 0
USE_LEVELDB := 0
USE_LMDB := 0
uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
You should not set this flag if you will be reading LMDBs with any
possibility of simultaneous read and write
ALLOW_LMDB_NOLOCK := 1
Uncomment if you’re using OpenCV 3
OPENCV_VERSION := 3
To customize your choice of compiler, uncomment and set the following.
N.B. the default for Linux is g++ and the default for OSX is clang++
CUSTOM_CXX := g++
CUDA directory contains bin/ and lib/ directories that we need.
CUDA_DIR := /usr/local/cuda
On Ubuntu 14.04, if cuda tools are installed via
“sudo apt-get install nvidia-cuda-toolkit” then use this instead:
CUDA_DIR := /usr
CUDA architecture setting: going with all of them.
For CUDA < 6.0, comment the *_50 through *_61 lines for compatibility.
For CUDA < 8.0, comment the *_60 and *_61 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_30,code=sm_30
atlas for ATLAS (default)
mkl for MKL
open for OpenBlas
BLAS := atlas
Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
Leave commented to accept the defaults for your choice of BLAS
(which should work)!
BLAS_INCLUDE := /path/to/your/blas
BLAS_LIB := /path/to/your/blas
Homebrew puts openblas in a directory that is not on the standard search path
BLAS_INCLUDE := $(shell brew --prefix openblas)/include
BLAS_LIB := $(shell brew --prefix openblas)/lib
This is required only if you will compile the matlab interface.
MATLAB directory should contain the mex binary in /bin.
MATLAB_DIR := /usr/local
MATLAB_DIR := /Applications/MATLAB_R2012b.app
NOTE: this is required only if you will compile the python interface.
We need to be able to find Python.h and numpy/arrayobject.h.
PYTHON_INCLUDE := /usr/include/python2.7
Anaconda Python distribution is quite popular. Include path:
Verify anaconda location, sometimes it’s in root.
ANACONDA_HOME := $(HOME)/anaconda
PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
# $(ANACONDA_HOME)/include/python2.7 \
Uncomment to use Python 3 (default is Python 2)
PYTHON_LIBRARIES := boost_python-py35 python3.5m
PYTHON_INCLUDE := /usr/include/python3.5m \
We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib
PYTHON_LIB := $(ANACONDA_HOME)/lib
Homebrew installs numpy in a non standard path (keg only)
PYTHON_INCLUDE += (dir (shell python -c ‘import numpy.core; print(numpy.core.file)’))/include
PYTHON_LIB += $(shell brew --prefix numpy)/lib
Uncomment to support layers written in Python (will link against Python libs)
WITH_PYTHON_LAYER := 1
Whatever else you find you need goes here.
INCLUDE_DIRS := (PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial
LIBRARY_DIRS := (PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/aarch64-linux-gnu /usr/lib/aarch64-linux-gnu/hdf5/serial
If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
INCLUDE_DIRS += $(shell brew --prefix)/include
LIBRARY_DIRS += $(shell brew --prefix)/lib
NCCL acceleration switch (uncomment to build with NCCL)
USE_NCCL := 1
Uncomment to use
pkg-config to specify OpenCV library paths.
(Usually not necessary – OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
USE_PKG_CONFIG := 1
N.B. both build and distribute dirs are cleared on
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
DEBUG := 1
The ID of the GPU that ‘make runtest’ will use to run unit tests.
TEST_GPUID := 0
enable pretty build (comment to see full commands)
Q ?= @
All the configs are based on cuda-8.0 which should be pre-installed in PX2 or you can get the JetPack SDK for a proper environment.