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3d-machine-learning

A resource repository for 3D machine learning

3d-point-cloud-and-2d-reprojection

This is the assignment of COMP 558, 3D point cloud and Rotation Translation. Please do not plagiarize, as it violate the honor codes.

3d_labeling_tools

conditional_random_fields_based_point_cloud_segmentation

cpf_segmentation

Constrained Plane Fitting library for unsupervised segmentation of 3D point clouds

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

digital-forestry-toolbox

A collection of digital forestry tools for Matlab/Octave

fastpointcloudsegmentation

A modified implementation of the point cloud segmentation method described in: http://ieeexplore.ieee.org/document/7989591/

gramm

Gramm is a powerful visualization toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab.

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

labelme3dtoolbox

LabelMe3D Matlab toolbox

lectures

Oxford Deep NLP 2017 course

lidar

LIDAR post-processing with MATLAB

lidar-feature-classification-with-tensorflow

lidarvf

LiDARVF is the repository dedicated to the implementation of a scanning LiDAR to detect obstacles and produce repulsive vector fields.

matconvnet

MatConvNet: CNNs for MATLAB

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

matconvnet-fcn

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

matconvnet-oneclick

Use MatConvNet to train your own data

matlab_dtm_from_lidar_point_cloud

mdcnn

3D Convolutional Neural Network (CNN) for volumetric inputs. Matlab framework supporting 2D and 3D kernels

nanoflann

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search wih KD-trees

octnet

OctNet: Learning Deep 3D Representations at High Resolutions

online-learning-with-3d-point-clouds-of-oakland-dataset

orion

ORION: Orientation-boosted Voxel Nets for 3D Object Recognition

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

pointcloud-crf

Conditional Random Fields label refine on pointcloud

pointcloud-semantic-segmentation

Simple baseline in Keras for semantic segmentation of point clouds

pointcloudprocesstool

Some tools for point cloud segmentation/filtering/classification/recognition/detection...

pointcloudsclassification

Classifying different point clouds of objects on the road (cars, pedestrians, bikes...) using SVMs.