安装opencv3.4
mkdir -p ~/tools/
cd ~/tools/
sudo gedit installOpencv340Xavier.sh
添加以下内容,也可以逐行执行
#!/bin/bash
#
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#
echo "** Install requirement"
sudo apt-get update
sudo apt-get install -y build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev
sudo apt-get install -y python2.7-dev
sudo apt-get install -y python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
sudo apt-get install -y libv4l-dev v4l-utils qv4l2 v4l2ucp
sudo apt-get install -y curl
sudo apt-get update
echo "** Download opencv-3.4.0"
curl -L https://github.com/opencv/opencv/archive/3.4.0.zip -o opencv-3.4.0.zip
unzip opencv-3.4.0.zip
cd opencv-3.4.0/
echo "** Building..."
mkdir release
cd release/
cmake -D WITH_CUDA=ON -D CUDA_ARCH_BIN="7.2" -D CUDA_ARCH_PTX="" -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make
sudo make install
echo "** Install opencv-3.4.0 successfully"
echo "** Bye :)"
sudo chmod +x installOpencv340Xavier.sh
./installOpencv340Xavier.sh
darknet
mkdir -p ~/dl/darknet
cd ~/dl/darknet
git clone https://github.com/pjreddie/darknet.git
cd darknet
修改makefile
GPU=1
CUDNN=1
OPENCV=1
OPENMP=1
DEBUG=1
ARCH= -gencode arch=compute_72,code=[sm_72,compute_72]
#cuda路劲
NVCC=/usr/local/cuda-10.2/bin/nvcc
#上面这个是我板子上cuda路劲,根据自己板子进行更改
编译
sudo make -j8 #j后面跟的是自己板子的cpu核数,xavier为8核
./darknet
若输出usage: ./darknet 则安装成功
测试
图片
./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg
视频
./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights <video file>
权重
密码:t76q