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Zhang Menghe's Projects

gjk icon gjk

Basic 3D collision detection implementation using the Gilbert–Johnson–Keerthi distance algorithm along with the Expanding Polytope Algorithm

mediapipe icon mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

openxr-mixedreality icon openxr-mixedreality

OpenXR samples and preview headers for HoloLens and Windows Mixed Reality developers familiar with Visual Studio

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

peac icon peac

PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of peac (http://www.merl.com/research/license)

playground icon playground

A minimal Unreal Engine project for developing and testing UnrealCV

pokemeow-renderer icon pokemeow-renderer

This is an OpenGL(JOGL) 2d graph renderer for Cytoscape. Project for 2017 GSoC

rgbd-processor-python icon rgbd-processor-python

Process depth image to get HHA and heightMap. Python3 version, will be integrated into unreal program

semantic-segmentation icon semantic-segmentation

Semantic Segmentation Implemented in PyTorch. Training on SUN-RGBD Dataset with reference to meetshah1995's work (https://github.com/meetshah1995/pytorch-semseg)

sfmlearner icon sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sparse-to-dense.pytorch icon sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

unrealcv icon unrealcv

UnrealCV: Connecting Computer Vision to Unreal Engine

zugzwang icon zugzwang

Zugzwang (German: forced to make a move) is a new OpenGL-accelerated renderer for Cytoscape that prioritizes rapid visual feedback above all else – thus the name.

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