OpenMMLab's next-generation platform for general 3D object detection.
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Updated
Jul 10, 2024 - Python
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
OpenMMLab's next-generation platform for general 3D object detection.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Papers and Datasets about Point Cloud.
Pytorch framework for doing deep learning on point clouds.
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Deep Hough Voting for 3D Object Detection in Point Clouds
Frustum PointNets for 3D Object Detection from RGB-D Data
PyTorch implementation of Pointnet2/Pointnet++
World's first general purpose 3D object detection codebse.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Point-NeRF: Point-based Neural Radiance Fields
blender python scripts
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)