GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → tegusi → Rgcnn

tegusi / Rgcnn

Licence: apache-2.0
Regularized Graph CNN for Point Cloud Segmentation

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningpoint-cloud

Projects that are alternatives of or similar to Rgcnn

Cilantro
A lean C++ library for working with point cloud data
Stars: ✭ 577 (+1182.22%)
Mutual labels:  point-cloud
3d Bounding Boxes From Monocular Images
A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes
Stars: ✭ 24 (-46.67%)
Mutual labels:  point-cloud
Blender kitti
Render large point clouds and voxel grids with blender.
Stars: ✭ 36 (-20%)
Mutual labels:  point-cloud
Pcl
Point Cloud Library (PCL)
Stars: ✭ 6,897 (+15226.67%)
Mutual labels:  point-cloud
Pointcloudutilities
Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...
Stars: ✭ 17 (-62.22%)
Mutual labels:  point-cloud
House Of Cards
Display of Radiohead's House of Cards point cloud data
Stars: ✭ 12 (-73.33%)
Mutual labels:  point-cloud
Superpoint graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Stars: ✭ 533 (+1084.44%)
Mutual labels:  point-cloud
Unsupervisedrr
[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
Stars: ✭ 43 (-4.44%)
Mutual labels:  point-cloud
Gpdnet
Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
Stars: ✭ 19 (-57.78%)
Mutual labels:  point-cloud
Point Cloud Filter
Scripts showcasing filtering techniques applied to point cloud data.
Stars: ✭ 34 (-24.44%)
Mutual labels:  point-cloud
Lidar camera calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Stars: ✭ 734 (+1531.11%)
Mutual labels:  point-cloud
Pcx
Point cloud importer & renderer for Unity
Stars: ✭ 806 (+1691.11%)
Mutual labels:  point-cloud
Hdl graph slam
3D LIDAR-based Graph SLAM
Stars: ✭ 945 (+2000%)
Mutual labels:  point-cloud
Depth clustering
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Stars: ✭ 657 (+1360%)
Mutual labels:  point-cloud
Unity 3mx
Load 3MX/3MXB format LOD model files generated by Bentley ContextCapture into Unity.
Stars: ✭ 38 (-15.56%)
Mutual labels:  point-cloud
3dmatch Toolbox
3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Stars: ✭ 571 (+1168.89%)
Mutual labels:  point-cloud
Pointnet2 pytorch
PyTorch implementation of Pointnet2/Pointnet++
Stars: ✭ 844 (+1775.56%)
Mutual labels:  point-cloud
Det3d
A general 3D object detection codebse.
Stars: ✭ 1,025 (+2177.78%)
Mutual labels:  point-cloud
Flownet3d pytorch
The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d
Stars: ✭ 39 (-13.33%)
Mutual labels:  point-cloud
Mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
Stars: ✭ 945 (+2000%)
Mutual labels:  point-cloud
View All Similar Projects ➔

Regularized Graph CNN for Point Cloud Segmentation

This code is the tensorflow implementation of our preprinted paper, RGCNN: Regularized Graph CNN for Point Cloud Segmentation, ACM MultiMedia, 2018. Camera-ready version will be updated soon.

Installation

This code runs on tensorflow 1.4 and python 3.6 with additional library such as h5py. We borrow the framework of cnn_graph.

Usage

It requires original ModelNet40 and ShapeNet data, which can be downloaded here for segmentation and here for classification. You can use the tool provided by pointnet to convert the data to numpy array. We also provide our processed one but we don't guarantee its compatibility.

The train.py is quite easy to read, I'm sure you can run and test it smoothly.

Note

We test our code on jupyter notebook at first, so I suspect some part could be missing. If something went wrong, please contact me by email.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].