RJ2019

RJ2019

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RJ2019's repositories

PointCloudSegmentation

The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection

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amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

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amundsendatabuilder

Data ingestion library for Amundsen to build graph and search index

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amundsenfrontendlibrary

Front-end service library for Amundsen

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amundsensearchlibrary

Search service library for Amundsen

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awesome-data-labeling

A curated list of awesome data labeling tools

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bps

Efficient Learning on Point Clouds with Basis Point Sets

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cartography

Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.

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CSF

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

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dxwg

Data Catalog Vocabulary (DCAT)

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HarvardOpenData.github.io

Harvard's first open data catalog

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lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785

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lidR

R package for airborne LiDAR data manipulation and visualisation for forestry application

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magda

A federated, open-source data catalog for all your big data and small data

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neo4j-graph-algorithms

Efficient Graph Algorithms for Neo4j

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neomodel

An Object Graph Mapper (OGM) for the neo4j graph database

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pcl

Point Cloud Library (PCL)

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PDAL

PDAL is Point Data Abstraction Library. GDAL for point cloud data.

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pointcloud

A PostgreSQL extension for storing point cloud (LIDAR) data.

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PolyFit

Polygonal Surface Reconstruction from Point Clouds

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postgis-vt-util

postgres helper functions for making vector tiles

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potree

WebGL point cloud viewer for large datasets

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semantic-segmentation-editor

Web labeling tool for bitmap images and point clouds

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SRSM_QuebecCity_building_extraction

Delineated building footprint outlines in Quebec City (Canada) resulted by SRSM method.

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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Toronto-3D

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

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training-v3

(new) Neo4j Training Material

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vcpkg

C++ Library Manager for Windows, Linux, and MacOS

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whitebox-tools

An advanced geospatial data analysis platform

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WhiteboxTools-ArcGIS

ArcGIS Python Toolbox for WhiteboxTools

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