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pointcloudclassification_keras

Point cloud classification, deep learning, keras

pointcloudsegmentation

A point cloud segmentation algorithm based on clustering analysis

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointnet2.pytorch

A faster implementation of PointNet++ based on PyTorch.

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_knn_cuda

K-Nearest Neighbor in Pytorch

pytorch_semantic_segmentation

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

randla-net-enhanced

RandLA-Net改进版

relation-shape-cnn

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

rfpointcloud

Semantic classification of 3D point cloud using implicit random forest feature learning

rggcnet

RGGCNet: 3D Sematic Segmentation based Debris Recognition of Terrain Point Cloud

samplenet

Differentiable Point Cloud Sampling (To appear in CVPR 2020 as an oral presentation)

seggcn

SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel

slambook

srsm_quebeccity_building_extraction

Delineated building footprint outlines in Quebec City (Canada) resulted by SRSM method.

torch-points3d

Pytorch framework for doing deep learning on point clouds.

vv-net-voxel-vae-net-with-group-convolutions-for-point-cloud-segmentation

official implementation for our ICCV 2019 paper : Voxel VAE Net with Group Convolutions for Point Cloud Segmentation

yosoro

:shaved_ice:Beautiful Markdown NoteBook. 🏖

yosoro_image

for save the image