Jetson TX1開發筆記(五)：TX1使用OpenCV3.1實時採集視頻圖像

轉載請註明作者和出處： http://blog.csdn.net/c406495762
嵌入式平臺(Target)： Jeston TX1
OpenCV： OpenCV3.1
攝像頭： USB 800W攝像頭

1 前言

    Jetpack3.0安裝的OpenCV是OpenCV2.4.13，OpenCV2.4.13對於USB攝像頭支持不好。NVIDIA以後更新的Jetpack會解決對USB攝像頭支持不好的問題，在官方解決之前，一個臨時的解決方案就是自己編譯OpenCV3.1。

2 下載OpenCV3

    URL : http://www.opencv.org/releases.html

    點擊Sources下載源碼：

3 安裝依賴庫

# Some general development libraries
sudo apt-get install -y build-essential make cmake cmake-curses-gui g++
# libav video input/output development libraries
sudo apt-get install -y libavformat-dev libavutil-dev libswscale-dev
# Video4Linux camera development libraries
sudo apt-get install -y libv4l-dev
# Eigen3 math development libraries
sudo apt-get install -y libeigen3-dev
# OpenGL development libraries (to allow creating graphical windows)
sudo apt-get install -y libglew1.6-dev
# GTK development libraries (to allow creating graphical windows)
sudo apt-get install -y libgtk2.0-dev

4 編譯並安裝OpenCV3

cd ~
mkdir src
cd src
unzip ~/Downloads/opencv-3.1.0.zip
cd opencv-3.1.0
mkdir build
cd build
cmake -DWITH_CUDA=ON -DCUDA_ARCH_BIN="5.3" -DCUDA_ARCH_PTX="" -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCUDA_FAST_MATH=ON -DCMAKE_INSTALL_PREFIX=/home/ubuntu/opencv-3.1.0 ..
make -j4 install

5 運行hog例程

5.1 編譯並運行例程

cd ~/src/opencv-3.1.0/samples/gpu
g++ -o hog -I /home/ubuntu/opencv-3.1.0/include -O2 -g -Wall hog.cpp -L /home/ubuntu/opencv-3.1.0/lib -lopencv_core -lopencv_imgproc -l opencv_flann -l opencv_imgcodecs -lopencv_videoio -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_objdetect -lopencv_photo -lopencv_features2d -lopencv_calib3d -lopencv_stitching -lopencv_videostab -lopencv_shape -lopencv_cudaobjdetect -lopencv_cudawarping -lopencv_cudaimgproc
export LD_LIBRARY_PATH=/home/ubuntu/opencv-3.1.0/lib:$LD_LIBRARY_PATH
./hog --camera 0

• export LD_LIBRARY_PATH=/home/ubuntu/opencv-3.1.0/lib:$LD_LIBRARY_PATH：添加LIBARARY，這個只是臨時添加，永久添加可以放到~/.bashrc中，並使用source ~/.bashrc“激活”設置的環境變量；

• ./hog –camera 0：最後一個參數0，代表使用/dev/video0設備，如果TX1插上板載的CSI攝像頭，又插上USB攝像頭，這個0，應該改爲1。可以通過ls /dev/ | grep video*，查看有那些video設備。

5.2 運行結果

6 編寫簡單的攝像頭採集程序

6.1 代碼如下

#include <stdio.h>  
#include <opencv2/opencv.hpp>  

using namespace cv;  
using namespace std;  

int main(int argc, char** argv)  
{  
    VideoCapture cap("nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)1280, height=(int)720,format=(string)I420, framerate=(fraction)24/1 ! nvvidconv flip-method=2 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink");  
    if (!cap.isOpened())  
    {  
        cout << "Failed to open camera." << endl;  
        return -1;  
    }  

    for(;;)  
    {  
        Mat frame;  
        cap >> frame;  
        imshow("original", frame);  
        //waitKey(1);  
        if(waitKey(30) >= 0)  
        break;  
    }  
    return 0;  
}

6.2 運行結果

    PS : 陽光原因，圖像有些泛白，見諒

7 可能遇到的問題

    在make的時候，我們可能遇到如下error：

    解決辦法：需要修改一處源碼，在graphcuts.cpp中將

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)

    改爲：

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000)

    如下圖所示：