crosstyan
9c861105f7
- Add comprehensive work plan for ArUco-based multi-camera calibration - Add recording_multi.py for multi-camera SVO recording - Add streaming_receiver.py for network streaming - Add svo_playback.py for synchronized playback - Add zed_network_utils.py for camera configuration - Add AGENTS.md with project context
ZED SDK - Depth Sensing
This sample shows how to retreive the current point cloud.
Getting Started
- Get the latest ZED SDK and pyZED Package
- Check the Documentation
Setting up (Optional)
For improved data retrieval and handling on GPU:
- Install CuPy using pip
pip install cupy-cuda11x # For CUDA 11.x pip install cupy-cuda12x # For CUDA 12.x - Install cuda bindings using pip
pip install cuda-python
Run the program
To run the program, use the following command in your terminal :
python depth_sensing.py
If you wish to run the program from an input_svo_file, or an IP adress, or specify a resolution run :
python depth_sensing.py --input_svo_file <input_svo_file> --ip_address <ip_address> --resolution <resolution>
Arguments:
--input_svo_fileA path to an existing .svo file, that will be playbacked. If this parameter and ip_adress are not specified, the soft will use the camera wired as default.--ip_addressIP Address, in format a.b.c.d:port or a.b.c.d. If specified, the soft will try to connect to the IP.--resolutionResolution, can be either HD2K, HD1200, HD1080, HD720, SVGA or VGA.--disable_gpuDisable GPU acceleration even if CuPy is available.
Features
- Camera live point cloud is retreived
- An OpenGL windows displays it in 3D
Support
If you need assistance go to our Community site at https://community.stereolabs.com/