cugwhp

Graph-CNN-in-3D-Point-Cloud-Classification

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

how_to_research

interview

📚 C/C++面试基础知识总结

3D_Ground_Segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

3DmFV-Net

Point cloud classification in Real-time using 3DmFV representation and CNNs

alphaFM

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

camera-laser-calibration

This package is used to calculate the translation and rotation matrix between camera and laser coordinate, and then fuse the point cloud with image color.

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.

cse291-i.github.io

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DeepNetsForEO

Deep networks for Earth Observation

gippy

Geospatial Image Processing for Python

HiSpatialCluster

Clustering spatial points with algorithm of Fast Search, high performace computing implements of CUDA or parallel in CPU, and runnable implements on python standalone or arcgis.

Kids

Learning Materials About Kids

labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

LightningR

CG Linghtning Analysis With R

lsfeR

R scripts

mapnik

Mapnik is an open source toolkit for developing mapping applications

MCCNN

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

OOPCPP

Learn C++ Programming Language

PointCloud_Classification_using_optimized_PointNet_by_kdtree

Optimized the CNN framework PointNet by using kdtree

Pointnet-TextCNN

Point cloud classification and segmentation based on pointnet and textcnn

pyMedImage

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

RSdocs

Cheat sheets and presentation about remote sensing usage in R

SO-Net

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

SqueezeSeg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

ThunderStorm

tutorials

机器学习相关教程