Intel® RealSense™ SDK 2.0 is a cross-platform library for Intel® RealSense™ depth cameras (D400 & L500 series and the SR300) and the T265 tracking camera.
📌 For other Intel® RealSense™ devices (F200, R200, LR200 and ZR300), please refer to the latest legacy release.
The SDK allows depth and color streaming, and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (pointcloud, depth aligned to color and vise-versa), and a built-in support for record and playback of streaming sessions.
Developer kits containing the necessary hardware to use this library are available for purchase at store.intelrealsense.com. Information about the Intel® RealSense™ technology at www.intelrealsense.com
📂 Don't have access to a RealSense camera? Check-out sample data
Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer be available for new orders.
Intel WILL continue to sell and support stereo products including the following: D410, D415, D430, , D401 ,D450 modules and D415, D435, D435i, D435f, D405, D455, D457 depth cameras. We will also continue the work to support and develop our LibRealSense open source SDK.
In the future, Intel and the RealSense team will focus our new development on advancing innovative technologies that better support our core businesses and IDM 2.0 strategy.
You can download and install librealsense using the vcpkg dependency manager:
git clone https://github.com/Microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg integrate install
./vcpkg install realsense2
The librealsense port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please create an issue or pull request on the vcpkg repository.
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Download - The latest releases including the Intel RealSense SDK, Viewer and Depth Quality tools are available at: latest releases. Please check the release notes for the supported platforms, new features and capabilities, known issues, how to upgrade the Firmware and more.
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Install - You can also install or build from source the SDK (on Linux \ Windows \ Mac OS \ Android \ Docker), connect your D400 depth camera and you are ready to start writing your first application.
Support & Issues: If you need product support (e.g. ask a question about / are having problems with the device), please check the FAQ & Troubleshooting section. If not covered there, please search our Closed GitHub Issues page, Community and Support sites. If you still cannot find an answer to your question, please open a new issue.
| What | Description | Download link |
|---|---|---|
| Intel® RealSense™ Viewer | With this application, you can quickly access your Intel® RealSense™ Depth Camera to view the depth stream, visualize point clouds, record and playback streams, configure your camera settings, modify advanced controls, enable depth visualization and post processing and much more. | Intel.RealSense.Viewer.exe |
| Depth Quality Tool | This application allows you to test the camera’s depth quality, including: standard deviation from plane fit, normalized RMS – the subpixel accuracy, distance accuracy and fill rate. You should be able to easily get and interpret several of the depth quality metrics and record and save the data for offline analysis. | Depth.Quality.Tool.exe |
| Debug Tools | Device enumeration, FW logger, etc as can be seen at the tools directory | Included in Intel.RealSense.SDK.exe |
| Code Samples | These simple examples demonstrate how to easily use the SDK to include code snippets that access the camera into your applications. Check some of the C++ examples including capture, pointcloud and more and basic C examples | Included in Intel.RealSense.SDK.exe |
| Wrappers | Python, C#/.NET, Node.js API, as well as integration with the following 3rd-party technologies: ROS1, ROS2, LabVIEW, OpenCV, PCL, Unity, Matlab, OpenNI, UnrealEngine4 and more to come. |
Our library offers a high level API for using Intel RealSense depth cameras (in addition to lower level ones). The following snippet shows how to start streaming frames and extracting the depth value of a pixel:
// Create a Pipeline - this serves as a top-level API for streaming and processing frames
rs2::pipeline p;
// Configure and start the pipeline
p.start();
while (true)
{
// Block program until frames arrive
rs2::frameset frames = p.wait_for_frames();
// Try to get a frame of a depth image
rs2::depth_frame depth = frames.get_depth_frame();
// Get the depth frame's dimensions
float width = depth.get_width();
float height = depth.get_height();
// Query the distance from the camera to the object in the center of the image
float dist_to_center = depth.get_distance(width / 2, height / 2);
// Print the distance
std::cout << "The camera is facing an object " << dist_to_center << " meters away \r";
}For more information on the library, please follow our examples, and read the documentation to learn more.
In order to contribute to Intel RealSense SDK, please follow our contribution guidelines.
This project is licensed under the Apache License, Version 2.0. Copyright 2018 Intel Corporation