1 مستودع
Awesome GitHub RepositoriesPoint Cloud Color Augmentation
Randomly drop color information of points as a data augmentation for point cloud segmentation.
Distinct from Point Cloud Processing: Distinct from Point Cloud Processing: focuses on a specific color-based augmentation technique, not general processing.
Explore 1 awesome GitHub repository matching part of an awesome list · Point Cloud Color Augmentation. Refine with filters or upvote what's useful.
Awesome Point Cloud Color Augmentation GitHub Repositories
اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
- open-mmlab/mmdetection3d
open-mmlab/mmdetection3d
6,273عرض على 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 color dropping as a data augmentation technique for point cloud segmentation models.
Python3d-object-detectionobject-detectionpoint-cloud
