C/C++

Code Examples to start prototyping quickly:
These simple examples demonstrate how to easily use the SDK to include code snippets that access the camera into your applications.

List of RealSense SDK 2.0 Examples:

Name	Language	Description	Experience Level
Hello-RealSense	C++	Demonstrates the basics of connecting to a RealSense device and using depth data	⭐
Distance	C	Equivalent to `hello-realsense` but rewritten for C users	⭐
Color	C	Demonstrate how to stream color data and prints some frame information	⭐
Capture	C++	Shows how to synchronize and render multiple streams: left, right, depth and RGB streams	⭐
Save To Disk	C++	Demonstrate how to render and save video streams on headless systems without graphical user interface (GUI)	⭐
Pointcloud	C++	Showcase Projection API while generating and rendering 3D pointcloud	⭐
Pose	C++	Demonstrates how to obtain data from pose frames	⭐
ImShow	C++ & OpenCV	Minimal OpenCV application for visualizing depth data	⭐
Multicam	C++	Present multiple cameras depth streams simultaneously, in separate windows	⭐
Depth	C	Demonstrates how to stream depth data and prints a simple text-based representation of the depth image	⭐ ⭐
Spatial Alignment	C++	Introduces the concept of spatial stream alignment, using depth-color mapping	⭐ ⭐
Advanced Alignment	C++	Show a simple method for dynamic background removal from video	⭐ ⭐
Measure	C++	Lets the user measure the dimensions of 3D objects in a stream	⭐ ⭐
Post Processing	C++	Demonstrating usage of post processing filters for depth images	⭐ ⭐
Record & Playback	C++	Demonstrating usage of the recorder and playback devices	⭐ ⭐
Motion	C++	Demonstrates how to use data from gyroscope and accelerometer to compute the rotation of the camera	⭐ ⭐
Pose Prediction	C++	Demonstrates how to use tracking camera asynchronously to implement simple pose prediction	⭐ ⭐
Pose and Image	C++	Demonstrates how to use tracking camera asynchronously to obtain 200Hz poses and 30Hz images	⭐ ⭐
AR-Basic	C++	Shows how to use pose and fisheye frames to display a simple virtual object on the fisheye image	⭐ ⭐
DNN	C++ & OpenCV	RealSense camera used for real-time object-detection	⭐ ⭐
Trajectory	C++	Shows how to calculate and render 3D trajectory based on pose data from a tracking camera	⭐ ⭐ ⭐
Software Device	C++	Shows how to create a custom `rs2::device`	⭐ ⭐ ⭐
Sensor Control	C++	A tutorial for using the `rs2::sensor` API	⭐ ⭐ ⭐
GrabCuts	C++ & OpenCV	Simple background removal using the GrabCut algorithm	⭐ ⭐ ⭐
Latency	C++ & OpenCV	Basic latency estimation using computer vision	⭐ ⭐ ⭐

Other Samples

Intel® Neural Compute Stick 2 + RealSense depth camera D415