Opencv_3d
Point cloud related algorithm repository, developed based on OpenCV. Include Voxel Grid Filter Sampling, Random Sampling, Farthest Point Sampling (FPS), Total Least Squares Plane Estimate, Random Sample Consensus (RANSAC), Multi-plane Detection/Segmentation in Point Cloud...
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pointnet | 4,396 | 5 months ago | 176 | other | Python | |||||
| PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation | ||||||||||
| Pointnet_pointnet2_pytorch | 2,491 | 9 months ago | 114 | mit | Python | |||||
| PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS. | ||||||||||
| Torch Points3d | 2,400 | 3 days ago | 83 | other | Python | |||||
| Pytorch framework for doing deep learning on point clouds. | ||||||||||
| 3d Pointcloud | 1,940 | 4 months ago | 3 | Python | ||||||
| Papers and Datasets about Point Cloud. | ||||||||||
| Pointnet2 | 1,588 | 4 years ago | 141 | other | Python | |||||
| PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space | ||||||||||
| Pointcnn | 1,176 | 3 years ago | 52 | other | Python | |||||
| PointCNN: Convolution On X-Transformed Points (NeurIPS 2018) | ||||||||||
| Cilantro | 892 | 9 months ago | 19 | mit | C++ | |||||
| A lean C++ library for working with point cloud data | ||||||||||
| Depth_clustering | 778 | 2 years ago | 3 | mit | C++ | |||||
| :taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor. | ||||||||||
| Superpoint_graph | 691 | 9 months ago | 14 | mit | Python | |||||
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs | ||||||||||
| Cylinder3d | 670 | a year ago | 48 | apache-2.0 | Python | |||||
| Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral) | ||||||||||
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