ViNiT SaRoDe

learning3d. This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

pcrnet_pytorch. This is a pytorch implementation of PCRNet

pcrnet. Point Cloud Registration Network

PointNetLK. This is the clean implementation of PointNetLK with pretrained models. (A 3D point cloud registration network)

masknet. MaskNet: A Fully Convolutional Network to Estimate Inlier Points

pointnet-registration-framework. Code for the paper "One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment"

pc_autoencoder. Auto Encoder for 3D Point Clouds using ModelNet40 Dataset

emd. This repository has Earth Mover Distance Function's CUDA implementation for Tensorflow And PyTorch.

icp_registration_cpp. This repository is a C++ implementation of Iterative Closest Point Registration algorithm to find the rigid transformation between sensor point cloud data and model point cloud.

bullet-envs. Reinforcement Learning on HEBI SEA - Snake Robot

emd.pytorch. This repository contains the PyTorch based implementation of EMD loss function.

registration_gurobi. C++

biped. Documentation and codes of Biped Project

yolov5-face-training. Modified Training Script for yolov5-face detection model

MobileNetV2-SSD. This repository contains the MobileNetV2 backboned single shot detector for the detection of MNIST digits

registration. It has the codes for evaluation of various objective functions for registration of point clouds. The codes are meant for MATLAB.