PRBonn/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
This tool helps researchers and engineers working with autonomous driving data to understand and analyze 3D point cloud and semantic label data from the SemanticKITTI dataset. You can input raw LiDAR scans and corresponding semantic labels to visualize them in 3D, inspect spherical projections, and view voxelized scenes. It's ideal for anyone developing or evaluating algorithms for tasks like semantic segmentation or scene completion in robotics and self-driving.
890 stars. No commits in the last 6 months.
Use this if you are developing or evaluating computer vision models for autonomous vehicles that rely on understanding 3D environments from LiDAR data and need to visualize, process, or benchmark against the SemanticKITTI dataset.
Not ideal if you are looking for a general-purpose 3D visualization tool or if your work does not involve the SemanticKITTI dataset or similar LiDAR point cloud data.
Stars
890
Forks
194
Language
Python
License
MIT
Category
Last pushed
Apr 03, 2025
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