1 repositorio
Awesome GitHub RepositoriesPoint Cloud Jitter Augmentation
Apply random jitter to point positions as a data augmentation for point cloud segmentation.
Distinct from Point Cloud Processing: Distinct from Point Cloud Processing: focuses on a specific jitter-based augmentation technique, not general processing.
Explore 1 awesome GitHub repository matching part of an awesome list · Point Cloud Jitter Augmentation. Refine with filters or upvote what's useful.
Awesome Point Cloud Jitter Augmentation GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- open-mmlab/mmdetection3d
open-mmlab/mmdetection3d
6,273Ver en GitHubMMDetection3D is an open-source toolbox for 3D perception, providing a unified framework for detecting and segmenting objects in three-dimensional environments. It supports a range of core tasks including monocular 3D object detection from single camera images, LiDAR-based 3D object detection from raw point clouds, and multi-modal fusion that combines camera images with LiDAR data. The toolbox also covers point cloud semantic segmentation, assigning class labels to every point in a scan for scene understanding. The project distinguishes itself through a config-driven pipeline that orchestrate
Applies random positional jitter as a data augmentation technique for point cloud segmentation models.
Python3d-object-detectionobject-detectionpoint-cloud
