TX2 上使用opencv 调用板载mipi摄像头
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安装支持Gsteramer的opencv
删除OpenCV4Tegra:
sudo apt-get purge libopencv4tegra-dev libopencv4tegra
sudo apt-get purge libopencv4tegra-repo
sudo apt-get update
下载Jetson TX2 OpenCV安装程序:
git clone https://github.com/jetsonhacks/buildOpenCVTX2.git
cd buildOpenCVTX2
打开buildOpenCV.sh
并将 -DWITH_GSTREAMER = OFF
更改为-DWITH_GSTREAMER = ON
,确保OpenCV编译时使用gstreamer支持。
构建OpenCV:
./buildOpenCV.sh
cd ?/opencv /build
sudo make install
测试程序
#include <opencv2/opencv.hpp>
std::string get_tegra_pipeline(int width, int height, int fps) {
return "nvcamerasrc ! video/x-raw(memory:NVMM), width=(int)" + std::to_string(width) + ", height=(int)" +
std::to_string(height) + ", format=(string)I420, framerate=(fraction)" + std::to_string(fps) +
"/1 ! nvvidconv flip-method=2 ! video/x-raw, format=(string)BGRx ! videoconvert ! video/x-raw, format=(string)BGR ! appsink";
}
int main() {
// Options
int WIDTH = 1920;
int HEIGHT = 1080;
int FPS = 30;
// Define the gstream pipeline
std::string pipeline = get_tegra_pipeline(WIDTH, HEIGHT, FPS);
std::cout << "Using pipeline:
" << pipeline << "
";
// Create OpenCV capture object, ensure it works.
cv::VideoCapture cap(pipeline, cv::CAP_GSTREAMER);
if (!cap.isOpened()) {
std::cout << "Connection failed";
return -1;
}
// View video
cv::Mat frame;
while (1) {
cap >> frame; // Get a new frame from camera
// Display frame
imshow("Display window", frame);
cv::waitKey(1); //needed to show frame
}
}
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