Pinned Repositories
3000huyang.github.io
Jones 's Blog
3D-model-reconstruction
3D-Reconstruction-Tools
Some shell scripts for 3d reconstruction, using VLFeat, Bundler and PMVS/CMVS.
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
3D_object_recognition
recognize and localize an object in 3D Point Cloud scene using 3D-CNNs
3dcv
3DmFV-Net
Point cloud classification in Real-time using 3DmFV representation and CNNs
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
cugwhp's Repositories
cugwhp/Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
cugwhp/how_to_research
cugwhp/interview
📚 C/C++面试基础知识总结
cugwhp/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
cugwhp/3DmFV-Net
Point cloud classification in Real-time using 3DmFV representation and CNNs
cugwhp/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
cugwhp/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.
cugwhp/cartographer
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
cugwhp/cartographer_ros
Provides ROS integration for Cartographer.
cugwhp/cse291-i.github.io
cugwhp/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
cugwhp/DeepNetsForEO
Deep networks for Earth Observation
cugwhp/gippy
Geospatial Image Processing for Python
cugwhp/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.
cugwhp/Kids
Learning Materials About Kids
cugwhp/labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
cugwhp/LightningR
CG Linghtning Analysis With R
cugwhp/lsfeR
R scripts
cugwhp/mapnik
Mapnik is an open source toolkit for developing mapping applications
cugwhp/MCCNN
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
cugwhp/OOPCPP
Learn C++ Programming Language
cugwhp/PointCloud_Classification_using_optimized_PointNet_by_kdtree
Optimized the CNN framework PointNet by using kdtree
cugwhp/Pointnet-TextCNN
Point cloud classification and segmentation based on pointnet and textcnn
cugwhp/pyMedImage
cugwhp/robosat
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
cugwhp/RSdocs
Cheat sheets and presentation about remote sensing usage in R
cugwhp/SO-Net
SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018
cugwhp/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
cugwhp/ThunderStorm
cugwhp/tutorials
机器学习相关教程