forked from floratest1/SpireCV
122 lines
3.5 KiB
C++
122 lines
3.5 KiB
C++
#include <iostream>
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#include <string>
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// 包含SpireCV SDK头文件
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#include <sv_world.h>
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using namespace std;
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// yaw roll pitch
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double gimbalEulerAngle[3];
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void gimableCallback(double &frame_ang_r, double &frame_ang_p, double &frame_ang_y,
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double &imu_ang_r, double &imu_ang_p, double &imu_ang_y,
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double &fov_x, double &fov_y)
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{
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static int count = 0;
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if (count == 25)
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{
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std::cout << "GIMBAL_CMD_RCV_POS" << std::endl;
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std::cout << "=============================================" << std::endl;
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std::cout << "HALL_yaw:" << frame_ang_y << " " << std::endl;
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std::cout << "HALL_roll:" << frame_ang_r << " " << std::endl;
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std::cout << "HALL_pitch:" << frame_ang_p << " " << std::endl;
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std::cout << "GYRO_yaw:" << imu_ang_y << " " << std::endl;
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std::cout << "GYRO_roll:" << imu_ang_r << " " << std::endl;
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std::cout << "GYRO_pitch:" << imu_ang_p << " " << std::endl;
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count = 0;
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}
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gimbalEulerAngle[0] = frame_ang_y;
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gimbalEulerAngle[1] = imu_ang_r;
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gimbalEulerAngle[2] = imu_ang_p;
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count++;
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}
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// 定义吊舱
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sv::Gimbal *gimbal;
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// 定义窗口名称
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static const std::string RGB_WINDOW = "Image window";
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// 鼠标点击事件的回调函数
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void onMouse(int event, int x, int y, int, void *);
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int main(int argc, char *argv[])
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{
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// 实例化吊舱
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gimbal = new sv::Gimbal(sv::GimbalType::G1, sv::GimbalLink::SERIAL);
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// 使用 /dev/ttyUSB0 作为控制串口
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gimbal->setSerialPort("/dev/ttyUSB0");
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// 以gimableCallback作为状态回调函数启用吊舱控制
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gimbal->open(gimableCallback);
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// 定义相机
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sv::Camera cap;
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// 设置相机流媒体地址为 192.168.2.64
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cap.setIp("192.168.2.64");
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// 设置获取画面分辨率为720P
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cap.setWH(1280, 720);
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// 设置视频帧率为30帧
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cap.setFps(30);
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// 开启相机
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cap.open(sv::CameraType::G1);
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// 定义一个窗口 才可以在上面操作
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cv::namedWindow(RGB_WINDOW);
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// 设置窗口操作回调函数，该函数实现吊舱控制
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cv::setMouseCallback(RGB_WINDOW, onMouse, 0);
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// 实例化Aruco检测器类
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sv::ArucoDetector ad;
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// 手动导入相机参数，如果使用Amov的G1等吊舱或相机，则可以忽略该步骤，将自动下载相机参数文件
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ad.loadCameraParams(sv::get_home() + "/SpireCV/confs/calib_webcam_1280x720.yaml");
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ad.loadAlgorithmParams(sv::get_home() + "/SpireCV/confs/sv_algorithm_params.json");
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sv::UDPServer udp;
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// 实例化OpenCV的Mat类，用于内存单帧图像
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cv::Mat img;
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int frame_id = 0;
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while (1)
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{
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// 实例化SpireCV的 单帧检测结果 接口类 TargetsInFrame
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sv::TargetsInFrame tgts(frame_id++);
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// 读取一帧图像到img
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cap.read(img);
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// std::cout << img.type() << std::endl;
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// 执行Aruco二维码检测
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ad.detect(img, tgts);
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tgts.has_pod_info = true;
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tgts.pod_patch = gimbalEulerAngle[2];
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tgts.pod_roll = gimbalEulerAngle[1];
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tgts.pod_yaw = gimbalEulerAngle[0];
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tgts.has_uav_pos = false;
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tgts.has_uav_vel = false;
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tgts.has_ill = false;
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// www.write(img, tgts);
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udp.send(tgts);
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// 可视化检测结果，叠加到img上
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sv::drawTargetsInFrame(img, tgts);
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// 显示检测结果img
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cv::imshow(RGB_WINDOW, img);
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cv::waitKey(10);
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}
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return 0;
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}
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void onMouse(int event, int x, int y, int, void *)
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{
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if (event == cv::EVENT_LBUTTONDOWN)
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{
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gimbal->setAngleRateEuler(0, 0.02 * (y - 720 / 2), 0.02 * (x - 1280 / 2));
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}
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if (event == cv::EVENT_RBUTTONDOWN)
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{
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gimbal->setHome();
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}
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}
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