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3d-forest icon 3d-forest

Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.

3d-tiles icon 3d-tiles

Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

3d_object_recognition icon 3d_object_recognition

recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method

3dlinedetection icon 3dlinedetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

3dobjecttracking icon 3dobjecttracking

Official Code: A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking

ab3dmot icon ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

aerial-image-stitcher icon aerial-image-stitcher

An algorithm built to stitch drone aerial imagery. The program runs locally on iOS and is built off of the OpenCV framework. It produces accurately geo-referenced maps.

approxmvbb icon approxmvbb

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

auto3d icon auto3d

2D and 3D game engine based on OpenGL OpenGL ES and Vulkan

blendergis icon blendergis

Blender addons to make the bridge between Blender and geographic data

blog icon blog

Everything about database,bussiness.(Most for PostgreSQL).

buyhouse icon buyhouse

基于python的scrapy爬虫,爬取链家网成都地区新房源,并用高德api在地图上可视化显示

caffe-segnet icon caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

changedet icon changedet

City-scale Scene Change Detection using Point Clouds

crawler icon crawler

拉钩 | 豆瓣 | 链家爬虫项目的合集

cuda-pointpillars icon cuda-pointpillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

cudasift icon cudasift

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

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