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Simply install the SDK from GitHub and connect the depth camera. Now you’re ready to start developing your first project.
Intel® RealSense™ SDK 2.0 provides tools and binaries for the Windows platform using GitHub Releases.
View the install readme on Github here.
To build from source, please follow the steps described here.
After plugging the camera into a USB3 port, you should be able to see the newly connected device in the Device Manager.
Go to the latest stable release, navigate to the Downloads section, download and run Intel.RealSense.SDK.exe.
Click through several simple steps of the installer.
1. Intel® RealSense™ SDK 2.0 is distributed under the Apache 2.0 permissive open-source license.
2. The SDK includes the RealSense Viewer, as well as development packages for various programming languages.
3. Approve adding two shortcuts to your desktop.
4. Review before installing.
5. Open the Intel® RealSense™ Samples solution.
6. Press F5 to compile and run the demos. Success!
Note: MAC OS support for the full range of functionality offered by the SDK is not yet complete. If you need support for R200 or the SR300, legacy librealsense offers a subset of SDK functionality.
brew install libusb pkg-config
brew install homebrew/core/glfw3
brew install cmake
mkdir build && cd build
sudo xcode-select --reset
cmake .. -DBUILD_EXAMPLES=true -DBUILD_WITH_OPENMP=false -DHWM_OVER_XU=false -G Xcode
Intel® RealSense™ SDK 2.0 provides installation packages in
dpkg format for Debian OS and its derivatives.
View the Readme on Github here
To build from source, please follow the steps described here
echo 'deb http://realsense-hw-public.s3.amazonaws.com/Debian/apt-repo xenial main' | sudo tee /etc/apt/sources.list.d/realsense-public.list
/etc/apt/sources.list.d/realsense-public.listfile in case of an upgrade.
sudo apt-key adv --keyserver keys.gnupg.net --recv-key 6F3EFCDE
sudo apt-get update
sudo apt-get install librealsense2-dkms
sudo apt-get install librealsense2-utils
sudo apt-get install librealsense2-dev
sudo apt-get install librealsense2-dbg
devpackage installed, you can compile an application with librealsense using
g++ -std=c++11 filename.cpp -lrealsense2or an IDE of your choice.
Verify that the kernel is updated :
modinfo uvcvideo | grep "version:" should include
Important Removing Debian package is allowed only when no other installed packages directly refer to it. For example removing
librealsense2 to be removed first.
Remove a single package with:
sudo apt-get --purge <package-name>
Remove all RealSense™ SDK-related packages with:
dpkg -l | grep "realsense" | cut -d " " -f 3 | xargs sudo dpkg --purge
The packages and their respective content are listed below:
|librealsense2-udev-rules||Manages the devices permissions configuration for||–|
|realsense-uvcvideo||DKMS package for Depth cameras-specific kernel extensions||librealsense2-udev-rules|
|librealsense2||RealSense™ SDK runtime (.so) and configuration files||librealsense2-udev-rules|
|librealsense2-utils||Demos and tools available as a part of RealSense™ SDK||librealsense2|
|librealsense2-dev||Header files and symbolic link for developers||librealsense2|
|librealsense2-dbg||Debug symbols for developers||librealsense2|
Simply download and install the latest Intel® RealSense™ SDK 2.0 from GitHub and connect the depth camera.
Yes, the SDK supports both Windows and Linux operating environments.
Wrappers and languages supported include: Python (2&3), Node.js (v6 and above), ROS, OpenCV, PCL and LabVIEW.
It is expected to run on most of the Windows and Linux hardware platforms.