1 रिपॉजिटरी
Awesome GitHub RepositoriesDownsampling
Use fusion point sampling for efficient point cloud downsampling in 3D detection models.
Distinct from Point Cloud: Distinct from Point Cloud: focuses on a specific downsampling technique for point clouds, not general processing.
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Awesome Downsampling GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- open-mmlab/mmdetection3d
open-mmlab/mmdetection3d
6,273GitHub पर देखेंMMDetection3D 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
Ships fusion point sampling for efficient downsampling of point cloud data in 3D detection pipelines.
Python3d-object-detectionobject-detectionpoint-cloud
