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GitHub / christofel04 / Automatic-End-to-End-Proces-Labelling-3D-Bounding-Box-LiDAR-PCD-for-KITTI-Format-with-LATTE-Tools
Automatic End- to End Process Labelling Deep Learning Super Fast Accurate SFA 3D Object Detection for 3D Bounding Box using LATTE Bounding Box Tools
Stars: 4
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 1.13 GB
Dependencies:
4
Created: 11 months ago
Updated: 7 months ago
Last pushed: 7 months ago
Last synced: 4 months ago
Commit Stats
Commits: 13
Authors: 3
Mean commits per author: 4.33
Development Distribution Score: 0.462
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/christofel04/Automatic-End-to-End-Proces-Labelling-3D-Bounding-Box-LiDAR-PCD-for-KITTI-Format-with-LATTE-Tools
Topics: 3d-object-detection, artificial-intelligence, automation, autonomous-vehicles, deep-learning, kitti-dataset, lidar, machine-learning, object-detection, point-cloud