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Artem-Darius Weber
bb2dc1e41e
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2 months ago | |
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box_dimensioner_multicam | 2 months ago | |
ethernet_client_server | 2 months ago | |
align-depth2color.py | 2 months ago | |
depth_auto_calibration_example.py | 2 months ago | |
depth_ucal_example.py | 2 months ago | |
export_ply_example.py | 2 months ago | |
frame_queue_example.py | 2 months ago | |
opencv_pointcloud_viewer.py | 2 months ago | |
opencv_viewer_example.py | 2 months ago | |
pybackend_example_1_general.py | 2 months ago | |
pyglet_pointcloud_viewer.py | 2 months ago | |
python-rs400-advanced-mode-example.py | 2 months ago | |
python-tutorial-1-depth.py | 2 months ago | |
read_bag_example.py | 2 months ago | |
readme.md | 2 months ago |
readme.md
Sample Code for Intel® RealSense™ Python Wrapper
These Examples demonstrate how to use the python wrapper of the SDK.
List of Examples:
- Tutorial 1 - Demonstrates how to start streaming depth frames from the camera and display the image in the console as an ASCII art.
- NumPy and OpenCV - Example of rendering depth and color images using the help of OpenCV and Numpy
- Stream Alignment - Demonstrate a way of performing background removal by aligning depth images to color images and performing simple calculation to strip the background.
- RS400 Advanced Mode - Example of the advanced mode interface for controlling different options of the D400 cameras
- Realsense Backend - Example of controlling devices using the backend interface
- Read bag file - Example on how to read bag file and use colorizer to show recorded depth stream in jet colormap.
- Box Dimensioner Multicam - Simple demonstration for calculating the length, width and height of an object using multiple cameras.
- Realsense over Ethernet - This example shows how to stream depth data from RealSense depth cameras over ethernet.
- D400 self-calibration demo - Provides a reference implementation for D400 Self-Calibration Routines flow. The scripts performs On-Chip Calibration, followed by Focal-Length calibration and finally, the Tare Calibration sub-routines. Follow the White Paper Link for in-depth description of the provided calibration methods.
Pointcloud Visualization
- OpenCV software renderer
- PyGlet pointcloud renderer - requires
pip install pyglet