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lyuyfshi's Projects

3dfier icon 3dfier

The open-source tool for creation of 3D models

3dmatch-toolbox icon 3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

autolod icon autolod

Automatic LOD generation + scene optimization

caelum icon caelum

python library wrapper for various typical historical weather sources

citygml2objs icon citygml2objs

An experimental utility to convert CityGML data to OBJ, featuring decoupling of objects and conversion of attributes to colours

faceai icon faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

fish icon fish

The Python module that swims

gmmreg icon gmmreg

Implementations of the robust point set registration algorithm described in "Robust Point Set Registration Using Gaussian Mixture Models", Bing Jian and Baba C. Vemuri, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8), pp. 1633-1645. For a Python implementation, please refer to http://github.com/bing-jian/gmmreg-python.

google-access-helper icon google-access-helper

谷歌访问助手破解版、谷歌翻墙、谷歌梯子、谷歌梯子扩展工具、谷歌商店访问

ifc2citygml icon ifc2citygml

Automatic conversion of IFC models 2x3 to CityGML LOD 1/2/3/4

ifcplusplus icon ifcplusplus

IfcPlusPlus is an open source C++ class model, as well as a reader and writer for IFC files in STEP format. Features: Easy and efficient memory management using smart pointers. Parallel reader for very fast parsing on multi-core CPU's. Additionally, there's a simple IFC viewer application, using Qt and OpenSceneGraph. It can be used as starting point for all kinds of applications around the open building model standard IFC.

lod2plus icon lod2plus

Automatic generation of simple interiors for CityGML LOD2

node-red-contrib-lod2plus icon node-red-contrib-lod2plus

An experimental node to call a JAR file in the local machine to generate CityGML building models at LoD2plus

objectmatching icon objectmatching

This python project is for matching 3D objects, mesh models, camera position in room etc. It implements non rigid registration. For more detailed description of non rigid registration please visit https://github.com/bing-jian/gmmreg

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