提交 4e9766f1 编写于 作者: F Florent Buisson 提交者: Gines

Jetson TX2 JetPack 3.1 install scripts (#245)

* Install scripts and configurations for Jetson TX2 with JetPack 3.1

* All working, fixed missing warning message.

* Added documentation for Jetson TX2 installation.

* Rename Makefile.config.Ubuntu16_cuda8.JetsonTX2 to Makefile.config.Ubuntu16_cuda8_JetsonTX2

* Rename Makefile.config.Ubuntu16_cuda8.JetsonTX2 to Makefile.config.Ubuntu16_cuda8_JetsonTX2

* Update installation_jetson_tx2.md

* Update install_openpose_JetsonTX2_JetPack3.1.sh

* Update install_caffe_JetsonTX2_JetPack3.1.sh
上级 3c73f2d4
## Refer to http://caffe.berkeleyvision.org/installation.html
# 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 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
# Deprecated
# CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
# -gencode arch=compute_20,code=sm_21 \
# -gencode arch=compute_30,code=sm_30 \
# -gencode arch=compute_35,code=sm_35 \
# -gencode arch=compute_50,code=sm_50 \
# -gencode arch=compute_52,code=sm_52 \
# -gencode arch=compute_60,code=sm_60 \
# -gencode arch=compute_61,code=sm_61 \
# -gencode arch=compute_61,code=compute_61
# BLAS choice:
# 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 \
/usr/lib/python2.7/dist-packages/numpy/core/include \
/usr/local/lib/python2.7/dist-packages/numpy/core/include
# 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 \
# $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include
# Uncomment to use Python 3 (default is Python 2)
# PYTHON_LIBRARIES := boost_python3 python3.5m
# PYTHON_INCLUDE := /usr/include/python3.5m \
# /usr/lib/python3.5/dist-packages/numpy/core/include
# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib /usr/local/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)
# https://github.com/NVIDIA/nccl (last tested version: v1.2.3-1+cuda8.0)
# 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 `make clean`
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# 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 ?= @
#!/bin/bash
echo "------------------------- Installing Caffe -------------------------"
echo "NOTE: This script assumes that just flashed JetPack 3.1 : Ubuntu 16, CUDA 8, cuDNN 6 and OpenCV are already installed on your machine. Otherwise, it might fail."
function exitIfError {
if [[ $? -ne 0 ]] ; then
echo ""
echo "------------------------- -------------------------"
echo "Errors detected. Exiting script. The software might have not been successfully installed."
echo "------------------------- -------------------------"
exit 1
fi
}
echo "------------------------- Checking Ubuntu Version -------------------------"
# If you respected the installation assumptions, nothing to do.
echo "------------------------- Ubuntu Version Checked -------------------------"
echo ""
echo "------------------------- Checking Number of Processors -------------------------"
NUM_CORES=$(grep -c ^processor /proc/cpuinfo 2>/dev/null || sysctl -n hw.ncpu)
echo "$NUM_CORES cores"
exitIfError
echo "------------------------- Number of Processors Checked -------------------------"
echo ""
echo "------------------------- Installing some Caffe Dependencies -------------------------"
# Basic
sudo apt-get --assume-yes update
sudo apt-get --assume-yes install build-essential
# General dependencies
sudo apt-get --assume-yes install libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler libatlas-base-dev
sudo apt-get --assume-yes install --no-install-recommends libboost-all-dev
sudo apt-get --assume-yes install libgflags-dev libgoogle-glog-dev liblmdb-dev
# Python libs
sudo apt-get --assume-yes install python-pip python-dev build-essential
sudo -H pip install --upgrade pip
sudo -H pip install --upgrade numpy protobuf
# OpenCV is provided for tegra in JetPack
exitIfError
echo "------------------------- Some Caffe Dependencies Installed -------------------------"
echo ""
echo "------------------------- Compiling Caffe -------------------------"
cp Makefile.config.Ubuntu16_cuda8_JetsonTX2 Makefile.config
make all -j$NUM_CORES && make distribute -j$NUM_CORES
# make test -j$NUM_CORES
# make runtest -j$NUM_CORES
exitIfError
echo "------------------------- Caffe Compiled -------------------------"
echo ""
echo "------------------------- Caffe Installed -------------------------"
echo ""
OpenPose Library - Compilation and Installation on Nvidia Jetson TX2
====================================
## Contents
1. [Requirements](#requirements)
2. [Installation](#installation)
3. [Usage](#usage)
## Requirements
Jetson TX2 just flashed with [JetPack 3.1](https://developer.nvidia.com/embedded/jetpack)
Notes :
- Installation is similar to Jetson TX1 and you can follow this [video tutorial](https://www.youtube.com/watch?v=RJkOGMC8IrY).
- If you are installing from a virtual machine host, installation may need to be done in two steps, please refer to [this solution](https://devtalk.nvidia.com/default/topic/1002081/jetson-tx2/jetpack-3-0-install-with-a-vm/).
- Be sure to complete both OS flashing and CUDA / cuDNN installation parts before installation.
## Installation
Use the following script for installation of both caffe and OpenPose:
```
./ubuntu/install_caffe_and_openpose_JetsonTX2_JetPack3.1.sh
```
## Usage
It is for now recommended to use an external camera with the demo. To get to decent FPS you need to lower the net resolution:
```
./build/openpose/openpose.bin -camera_resolution 640x480 -net_resolution 128x96
```
To activate hand or face resolution please complete this command with the following options (warning, both simultaneously will cause out of memory error):
```
--hand -hand_net_resolution 256x256
--face -face_net_resolution 256x256
```
## Refer to http://caffe.berkeleyvision.org/installation.html
# 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 \
-gencode arch=compute_35,code=sm_35 \
-gencode arch=compute_50,code=sm_50 \
-gencode arch=compute_52,code=sm_52 \
-gencode arch=compute_60,code=sm_60 \
-gencode arch=compute_61,code=sm_61 \
-gencode arch=compute_61,code=compute_61
# Deprecated
# CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
# -gencode arch=compute_20,code=sm_21 \
# -gencode arch=compute_30,code=sm_30 \
# -gencode arch=compute_35,code=sm_35 \
# -gencode arch=compute_50,code=sm_50 \
# -gencode arch=compute_52,code=sm_52 \
# -gencode arch=compute_60,code=sm_60 \
# -gencode arch=compute_61,code=sm_61 \
# -gencode arch=compute_61,code=compute_61
# Uncomment to enable op::Profiler
# PROFILER_ENABLED := 1
# DEEP_NET choice:
# caffe for Caffe (default and only option so far)
DEEP_NET := caffe
# BLAS choice:
# 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
# Caffe directory
CAFFE_DIR := 3rdparty/caffe/distribute
# Whatever else you find you need goes here.
INCLUDE_DIRS := /usr/local/include /usr/include/hdf5/serial
LIBRARY_DIRS := /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
# 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
BUILD_DIR := build
DISTRIBUTE_DIR := distribute
# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# 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 ?= @
#!/bin/bash
echo "------------------------- Installing Caffe and OpenPose -------------------------"
echo "NOTE: This script assumes that just flashed JetPack 3.1 : Ubuntu 16, CUDA 8, cuDNN 6 and OpenCV are already installed on your machine. Otherwise, it might fail."
function exitIfError {
if [[ $? -ne 0 ]] ; then
echo ""
echo "------------------------- -------------------------"
echo "Errors detected. Exiting script. The software might have not been successfully installed."
echo "------------------------- -------------------------"
exit 1
fi
}
function executeShInItsFolder {
# $1 = sh file name
# $2 = folder where the sh file is
# $3 = folder to go back
cd $2
exitIfError
sudo chmod +x $1
exitIfError
bash ./$1
exitIfError
cd $3
exitIfError
}
executeShInItsFolder "install_caffe_JetsonTX2_JetPack3.1.sh" "./3rdparty/caffe" "../.."
exitIfError
executeShInItsFolder "install_openpose_JetsonTX2_JetPack3.1.sh" "./ubuntu" "./"
exitIfError
echo "------------------------- Caffe and OpenPose Installed -------------------------"
echo ""
#!/bin/bash
echo "------------------------- Installing OpenPose -------------------------"
echo "NOTE: This script assumes that just flashed JetPack 3.1 : Ubuntu 16, CUDA 8, cuDNN 6 and OpenCV are already installed on your machine. Otherwise, it might fail."
function exitIfError {
if [[ $? -ne 0 ]] ; then
echo ""
echo "------------------------- -------------------------"
echo "Errors detected. Exiting script. The software might have not been successfully installed."
echo "------------------------- -------------------------"
exit 1
fi
}
function executeShInItsFolder {
# $1 = sh file name
# $2 = folder where the sh file is
# $3 = folder to go back
cd $2
exitIfError
sudo chmod +x $1
exitIfError
./$1
exitIfError
cd $3
exitIfError
}
echo "------------------------- Checking Ubuntu Version -------------------------"
# If you respected the installation assumptions, nothing to do.
echo "------------------------- Ubuntu Version Checked -------------------------"
echo ""
echo "------------------------- Checking Number of Processors -------------------------"
NUM_CORES=$(grep -c ^processor /proc/cpuinfo 2>/dev/null || sysctl -n hw.ncpu)
echo "$NUM_CORES cores"
exitIfError
echo "------------------------- Number of Processors Checked -------------------------"
echo ""
echo "------------------------- Compiling OpenPose -------------------------"
# Go back to main folder
cd ..
# Copy Makefile.config
cp ubuntu/Makefile.config.Ubuntu16_cuda8_JetsonTX2 Makefile.config
# Compile OpenPose
make all -j$NUM_CORES
exitIfError
echo "------------------------- OpenPose Compiled -------------------------"
echo ""
echo "------------------------- Downloading OpenPose Models -------------------------"
executeShInItsFolder "getModels.sh" "./models" ".."
exitIfError
echo "Models downloaded"
echo "------------------------- OpenPose Models Downloaded -------------------------"
echo ""
echo "------------------------- OpenPose Installed -------------------------"
echo ""
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册