Realsense T265 简单上手
实验室新买了一个相机，属于intel realsense 系列，两个单色鱼眼相机，自带IMU并配有VPU，性能强大，可以直接输出位置。就是拿来当IMU用也是不错的。
废话不多说，直接上手
系统：ubuntu16.04
1. 安装SDK
- 可以直接去官网看教程，SDK的安装可以采用编译安装，也可以使用源安装，这里我们选用简单的源安装。
# Add Intel server to the list of repositories :
echo 'deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo xenial main' | sudo tee /etc/apt/sources.list.d/realsense-public.list
# It is recommended to backup /etc/apt/sources.list.d/realsense-public.list file in case of an upgrade.
# Register the server’s public key :
sudo apt-key adv --keyserver keys.gnupg.net --recv-key 6F3EFCDE
# Refresh the list of repositories and packages available :
sudo apt-get update
# In order to run demos install:
sudo apt-get install librealsense2-dkms
sudo apt-get install librealsense2-utils
# Developers shall install additional packages:
sudo apt-get install librealsense2-dev
sudo apt-get install librealsense2-dbg
安装完成后连上相机,使用
realsense-viewer命令就可以看到图像了
2. 简单测试程序
- 主程序
#include <librealsense2/rs.hpp> // Include RealSense Cross Platform API
#include "example.hpp" // Include short list of convenience functions for rendering
// Capture Example demonstrates how to
// capture depth and color video streams and render them to the screen
int main(int argc, char * argv[]) try
{
// Create a simple OpenGL window for rendering:
window app(1280, 720, "RealSense Vision可视化");
// Declare RealSense pipeline, encapsulating the actual device and sensors
rs2::pipeline pipe;
// Start streaming with default recommended configuration
// The default video configuration contains Depth and Color streams
// If a device is capable to stream IMU data, both Gyro and Accelerometer are enabled by default
pipe.start();
while (app) // Application still alive?
{
rs2::frameset data = pipe.wait_for_frames();
// The show method, when applied on frameset, break it to frames and upload each frame into a gl textures
// Each texture is displayed on different viewport according to it's stream unique id
app.show(data);
}
return EXIT_SUCCESS;
}
catch (const rs2::error & e)
{
std::cerr << "RealSense error calling " << e.get_failed_function() << "(" << e.get_failed_args() << "):\n " << e.what() << std::endl;
return EXIT_FAILURE;
}
catch (const std::exception& e)
{
std::cerr << e.what() << std::endl;
return EXIT_FAILURE;
}
- CMakeLists.txt文件
cmake_minimum_required(VERSION 3.1)
project(test)
set(CMAKE_BUILD_TYPE "release")
set(CMAKE_CXX_STANDARD 11)
find_package(OpenGL REQUIRED)
find_package(glfw3 REQUIRED)
include_directories("../third_party")
add_executable(main trajector.cpp)
target_link_libraries(main realsense2 glfw ${OPENGL_LIBRARIES})
add_executable(test capture.cpp)
target_link_libraries(test realsense2 glfw ${OPENGL_LIBRARIES})
我的github 项目上还有一个demo，可以显示相机的3D位置
3. 后记
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