Python

Installation Guidelines

Please refer to installation guideline at Python Installation

Building from Source

Please refer to the instructions at Building from Source

List of Examples

These Examples demonstrate how to use the python wrapper of the SDK.

Sample code source code is available on GitHub
For full Python library documentation please refer to module-pyrealsense2

#	Example	Description	Camera/SKU	Link to GitHub
1	Streaming Depth	This example demonstrates how to start streaming depth frames from the camera and display the image in the console as an ASCII art.	D400/L500	python-tutorial-1-depth
2	Rendering depth and color with OpenCV and Numpy	This example demonstrates how to render depth and color images using the help of OpenCV and Numpy	D400/L500	opencv_viewer_example
3	Align & Background Removal	Demonstrate a way of performing background removal by aligning depth images to color images and performing simple calculation to strip the background.	D400/L500	align-depth2color
4	Advanced Mode	Example of the advanced mode interface for controlling different options of the D400 ??? cameras	D400	advanced-mode-example
5	Read Bag File	Example on how to read bag file and use colorizer to show recorded depth stream in jet colormap.	D400/L500	read_bag_example
6	Export Point Cloud to PLY	This example shows how to export pointcloud to ply format file	D400/L515	export_ply_example.py
7	Frame Queue management	This example shows How to manage frame queues to avoid frame drops when multi streaming	D400/L515	frame_queue_example
8	Box measurement and multi-cameras Calibration	Simple demonstration for calculating the length, width and height of an object using multiple cameras.	D400	box_dimensioner_multicam_demo See more info here
9	Self Calibration: On Chip + Tare	This example Demonstrates how to run On Chip calibration and Tare	D400	depth_auto_calibration_example
10	Pose (basic)	Demonstrates how to retrieve pose data from a T265 camera	T265	T265_example
11	Coordinate system	This example shows how to change coordinate systems of a T265 pose	T265	T265_rpy
12	Sparse Stereo Depth (FishEye Passive)	This example shows how to use T265 intrinsics and extrinsics in OpenCV to asynchronously compute depth maps from T265 fisheye images on the host.	T265	T265_stereo
13	T265 Wheel Odometry	This example shows how to fuse wheel odometry measurements on the T265 tracking camera	T265	265_wheel_odometry
14	Stream over Ethernet	This example shows how to stream depth data from RealSense depth cameras over ethernet. It includes Ethernet client and server using python's Asyncore.	D400	EtherSenseClient EtherSenseServer See more info here
15	PointCloud with OpenCV	This sample is mostly for demonstration and educational purposes. It really doesn't offer the quality or performance that can be achieved with hardware acceleration.	D400/L500	opencv_pointcloud_viewer
16	PointCloud with PyGlet	OpenGL Pointcloud viewer with http://pyglet.org	D400/L500	pyglet_pointcloud_viewer
17	TensorFlow Machine Learning	Tutorial showing how TensorFlow-based machine learning can be applied with Intel RealSense Depth Cameras.	D400	TensorFlow with Intel RealSense Cameras

Interactive Examples

Distance to Object - This notebook offers a quick hands-on introduction to Intel RealSense Depth-Sensing technology. Please refer to Distance to Object for further information. Click to experience
Depth Filters - This notebook is intended to showcase effect of post processing filters. Please refer to Depth Filters for further information. Click to experience