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3D-Machine-Learning

A resource repository for 3D machine learning

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

apriltags_rgbd_node

more accurate apriltag detection using the depth sensor

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

DBNet

DBNet: A Large-Scale Dataset for Driving Behavior Learning

dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark

DeblurGAN

Image Deblurring using Generative Adversarial Networks

DynSLAM

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

elevation_mapping

Robot-centric elevation mapping for rough terrain navigation

fiducials

Simultaneous localization and mapping using fiducial markers.

FL3D

The code is implemented to show focal loss improvement based on 3D-FCN and VoxelNet for “Focal Loss in 3D Object Detection”.

flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

FuseNet_PyTorch

Joint scene classification and semantic segmentation with FuseNet

gps_rviz_plugin

rviz plugin for visualize sensor_msgs/NavSatFix message by using Google Static Map API

grid_map

Universal grid map library for mobile robotic mapping

hand_eye_calibration

Python tools to perform hand-eye calibration.

handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

hdl_graph_slam

3D LIDAR-based Graph SLAM

Indoor-segmentation

Indoor segmentation for robot navigating, based on tensorflow deeplab model

motion-rcnn

Motion R-CNN: Mask R-CNN with support for 3D motion estimation (prototype)

MSDNet

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans

nicp

Normal Iterative Closest Point (NICP) Algorithm C++ Library

pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

RDFNet

RTFNet

RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes

sfm_net

sfm_net

um7_ros