Python (original) (raw)
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
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
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
4
Advanced Mode
Example of the advanced mode interface for controlling different options of the D400 ??? cameras
D400
5
Read Bag File
Example on how to read bag file and use colorizer to show recorded depth stream in jet colormap.
D400/L500
6
Export Point Cloud to PLY
This example shows how to export pointcloud to ply format file
D400/L515
7
Frame Queue management
This example shows How to manage frame queues to avoid frame drops when multi streaming
D400/L515
8
Box measurement and multi-cameras Calibration
Simple demonstration for calculating the length, width and height of an object using multiple cameras.
D400
- 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
11
Coordinate system
This example shows how to change coordinate systems of a T265 pose
T265
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
13
T265 Wheel Odometry
This example shows how to fuse wheel odometry measurements on the T265 tracking camera
T265
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
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
16
PointCloud with PyGlet
OpenGL Pointcloud viewer with http://pyglet.org
D400/L500
17
TensorFlow Machine Learning
Tutorial showing how TensorFlow-based machine learning can be applied with RealSense Depth Cameras.
D400