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Name: NNU-GISA
Type: User
Company: Nanjing Normal University
Location: Nanjing
Name: NNU-GISA
Type: User
Company: Nanjing Normal University
Location: Nanjing
Data structures and algorithms for working with 3D point clouds and triangulated data.
Robust Railroad Cable Detection Framework
A bachelor's thesis in computer science at Jönköping University, in collaboration with the Swedish Forest Agency.
Code for Sampling of Graph Signals via Randomized Local Aggregations
Rank3DGAN: Semantic mesh generation using relative attributes
curve line fitting using ransac
RANSAC geometric model fitting for point clouds
This programe uses RANSAC method to remove outliers, and solves the exterior orientation problem for a point cloud given in both camera and world coordinates.
Implementation of primitive feature extraction from images using the RANSAC algorithm.
Plane Detection 3D point cloud using RANSAC algorithm
Shpe detection in 3D point clouds using RANSAC algorithm
Application of Random Sample Consensus for detection of planes in a point cloud.
A python API for plane detection in point clouds
- When we try to implement traffic sign classifier algorithm on Raspberry pi 3B+ the real-time performance was unacceptable as the value of the raspberry pi's floating point is from 900 MHZ to 1200 MHZ which is very low relative to traffic sign classifier's floating point. - So instead of convolution neural network, we worked on another solution which is template matching algorithm. - Template matching is a technique for searching and finding location of an image that are similar to a patch (template) in large image (input image).
An open source framework for deep learning on satellite and aerial imagery.
Raster Extraction to point cloud / vector data for merged rgb band, tif files
Combing sunlight raytracing with aearial LIDAR point clouds.
Trying out some raymarching for a point cloud 3d thingy
Code for "RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials", CVPR 2018
RC Model of a Building
A demonstration project for assembling registered point clouds with the rc_visard and ROS
Richer Convolutional Features for Edge Detection
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
The Random Cluster Model for Robust Geometric Fitting
Code for "Point cloud processing via recurrent set encoding"
Recurrent Convolutional Neural Network for Semantic Classification
Classification for single scan of velodyne point cloud
Rotation and Density network for sparse point-clouds.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.