| RMVL 2.4.0 Robotic Manipulation and Vision Library

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samples/camera/hik/sample_hik_multi.cpp

海康机器人工业相机——多相机例程

#include <iostream>
#include <MvCameraControl.h>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include "rmvl/camera/hik_camera.h"
#include "rmvl/core/util.hpp"
int main() {
int ret = MV_OK;
MV_CC_DEVICE_INFO_LIST camera_list;
ret = MV_CC_EnumDevices(MV_GIGE_DEVICE | MV_USB_DEVICE, &camera_list);
if (ret != MV_OK)
INFO_("failed to enum camera devices");
unsigned int nums = camera_list.nDeviceNum;
auto info = camera_list.pDeviceInfo;
INFO_("camera quantity: %u", nums);
printf("┌──────┬──────────────┬────────────────┬─────────────────────┬────────────────┐\n");
printf("│ 索引 │ 相机序列号 │ 型号名字 │ 设备版本号 │ 通信协议 │\n");
printf("├──────┼──────────────┼────────────────┼─────────────────────┼────────────────┤\n");
std::unordered_map<unsigned int, std::string> layer_type_t;
layer_type_t[MV_UNKNOW_DEVICE] = "Unknown device";
layer_type_t[MV_GIGE_DEVICE] = "GigE device";
layer_type_t[MV_1394_DEVICE] = "1394 device";
layer_type_t[MV_USB_DEVICE] = "USB device";
layer_type_t[MV_CAMERALINK_DEVICE] = "CameraLink device";
for (unsigned int i = 0; i < nums; ++i) {
const auto &usb_info = info[i]->SpecialInfo.stUsb3VInfo;
printf("│ %02d │ %-12.12s │ %-14.14s │ %-19.19s │ %-14.14s │\n",
i, usb_info.chSerialNumber, usb_info.chModelName, usb_info.chDeviceVersion,
layer_type_t[info[i]->nTLayerType].c_str());
}
printf("└──────┴──────────────┴────────────────┴─────────────────────┴────────────────┘\n");
printf("\033[33m输入相机序列号, 退出输入 \"q\": \033[0m");
std::string sn;
std::cin >> sn;
if (sn == "q")
return 0;
rm::HikCamera capture(rm::CameraConfig::create(rm::GrabMode::Continuous, rm::RetrieveMode::OpenCV), sn.c_str());
float exposure = 1000;
float gain = 0;
int r_gain = 1200;
int g_gain = 1200;
int b_gain = 1200;
// Load the last parameters
cv::FileStorage fs("out_para.yml", cv::FileStorage::READ);
if (fs.isOpened()) {
fs["exposure"].isNone() ? void(0) : (fs["exposure"] >> exposure);
fs["gain"].isNone() ? void(0) : (fs["gain"] >> gain);
fs["r_gain"].isNone() ? void(0) : (fs["r_gain"] >> r_gain);
fs["g_gain"].isNone() ? void(0) : (fs["g_gain"] >> g_gain);
fs["b_gain"].isNone() ? void(0) : (fs["b_gain"] >> b_gain);
}
capture.set(rm::CameraProperties::auto_exposure, false);
capture.set(rm::CameraProperties::exposure, exposure);
capture.set(rm::CameraProperties::gain, gain);
capture.set(rm::CameraProperties::auto_wb, false);
capture.set(rm::CameraProperties::wb_rgain, static_cast<uint32_t>(r_gain));
capture.set(rm::CameraProperties::wb_ggain, static_cast<uint32_t>(g_gain));
capture.set(rm::CameraProperties::wb_bgain, static_cast<uint32_t>(b_gain));
namedWindow("图像画面", cv::WINDOW_NORMAL);
resizeWindow("图像画面", cv::Size(640, 480));
cv::Mat frame;
while (capture.read(frame)) {
imshow("图像画面", frame);
if (cv::waitKey(1) == 27)
if (cv::waitKey(0) == 27)
break;
}
return 0;
}
rm::HikCamera
海康机器人相机库
定义 hik_camera.h:36
rm::HikCamera::set
bool set(CameraProperties propId, Tp value) noexcept
设置相机参数
rm::HikCamera::read
bool read(cv::OutputArray image)
从相机设备中读取图像
rm::RetrieveMode::OpenCV
@ OpenCV
使用 OpenCV 的 'cvtColor' 进行处理
定义 camutils.hpp:49
rm::GrabMode::Continuous
@ Continuous
连续采样
定义 camutils.hpp:33
rm::CameraProperties::wb_bgain
@ wb_bgain
白平衡蓝色分量
定义 camutils.hpp:97
rm::CameraProperties::auto_wb
@ auto_wb
自动白平衡
定义 camutils.hpp:91
rm::CameraProperties::auto_exposure
@ auto_exposure
自动曝光
定义 camutils.hpp:90
rm::CameraProperties::wb_ggain
@ wb_ggain
白平衡绿色分量
定义 camutils.hpp:96
rm::CameraProperties::exposure
@ exposure
曝光值
定义 camutils.hpp:92
rm::CameraProperties::wb_rgain
@ wb_rgain
白平衡红色分量
定义 camutils.hpp:95
rm::CameraProperties::gain
@ gain
模拟增益
定义 camutils.hpp:93
INFO_
#define INFO_(...)
定义 util.hpp:53
rm::CameraConfig::create
static CameraConfig create(Args &&...modes)
创建相机初始化配置模式
定义 camutils.hpp:66