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乐途's Projects

point_cloud_io icon point_cloud_io

ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).

points2grid icon points2grid

Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.

popsift icon popsift

PopSift is an implementation of the SIFT algorithm in CUDA.

pypopsift icon pypopsift

Python module for CUDA accelerated SIFT on GPUs

qamqp icon qamqp

AMQP 0.9.1 implementation for Qt

qglobe icon qglobe

3D Virtual Globe like Google Earth developed with Qt, Irrichit Engine.

qtadvanced icon qtadvanced

如果你想使用Qt如鱼得水, 这里的东西值得你学习。

qtkaifajingyan icon qtkaifajingyan

自己总结的这十多年做Qt开发以来的经验,以及Qt相关武林秘籍电子书,会一直持续更新增加,欢迎各位留言增加内容或者提出建议,谢谢!公众号:Qt教程

qtmqtt icon qtmqtt

Qt Module to implement MQTT protocol version 3.1 and 3.1.1 http://mqtt.org/

rawtherapee icon rawtherapee

A powerful cross-platform raw photo processing program

resonantgeodata icon resonantgeodata

🗂️ 🔍 Geospatial Data Management and Search API - Django Apps

retained_undistort_image icon retained_undistort_image

Sourcecode to produce undistorted image in which all source image pixels are retained. Two methods are implemented (1) using cv::initUndistortRectifyMap and cv::getOptimalNewCameraMatrix, (2) using the reverse distortion technique with cv::remap to produce the undistorted image.

riverrem icon riverrem

Make river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).

s2p icon s2p

Satellite Stereo Pipeline

satelitetracker icon satelitetracker

A project for Web API to predict a satelite orbit using C++ Library (OrbitTools).

satellitesfm icon satellitesfm

A library for solving the satellite structure from motion problem

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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