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liushouquan's Projects

mayo icon mayo

3D CAD viewer and converter based on Qt + OpenCascade

mcq icon mcq

A simple Netty based memcached protocol disk persistent queue engine!

meilisearch icon meilisearch

A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow.

mes icon mes

qcadoo MES - friendly web manufacturing software

meshoptimizer icon meshoptimizer

Mesh optimization library that makes meshes smaller and faster to render

metarank icon metarank

A low code Machine Learning peersonalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

mfl icon mfl

A Java library for reading and writing MATLAB's MAT File format

milvus icon milvus

Milvus -- the world's fastest vector search engine.

mindmanager icon mindmanager

【Java 思维导图】 以思维导图打造 Java 核心知识体系

minirover_lidar_citrush_crop icon minirover_lidar_citrush_crop

Growing evaluation in the early stages of crop development can be critical to eventual yield. Point clouds have been used for this purpose in tasks such as detection, characterization, phenotyping, and prediction on different crops with terrestrial mapping platforms based on laser scanning. 3D model generation requires the use of specialized measurement equipment, which limits access to this technology because of their complex and high cost, both hardware elements and data processing software. An unmanned 3D reconstruction mapping system of orchards or small crops has been developed to support the determination of morphological indices, allowing the individual calculation of the height and radius of the canopy of the trees to monitor plant growth. This paper presents the details on each development stage of a low-cost mapping system, which integrates an Unmanned Ground Vehicle UGV and a 2D LiDAR to generate 3D point clouds. The sensing system for the data collection was developed from the design in mechanical, electronic, control, and software layers. The validation test was carried out on a citrus crop section by a comparison of distance and canopy height values obtained from our generated point cloud concerning the reference values obtained with a photogrammetry method.

mlvp icon mlvp

可视编程机器学习平台 - 『人人可做的机器学习』-《智能数据挖掘》实战系列视频演示实验数据集与数据分析流

mmg icon mmg

open source software for bidimensional and tridimensional remeshing 二维三维网格划分

mml icon mml

mml是类似于阿里云的机器学习平台

mms_4.0.7 icon mms_4.0.7

OpenMBEE docker compose with mms4.0.7, Integrated Visual Editor (3.5.1 feature/remove-rootscope branch) and prebuilt Cameo MDK(5.0.1)

modeldb icon modeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

modelstore icon modelstore

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.

moeaframework icon moeaframework

A Free and Open Source Java Framework for Multiobjective Optimization

moiga icon moiga

Multi-objective island genetic algorithm

money-loan-demo icon money-loan-demo

Spring Boot Flowable application with Elasticsearch integration and HTTP tasks.

monitor icon monitor

👀 一款轻量级的收集页面的用户点击行为、路由跳转、接口报错、代码报错、并上报服务端的SDK

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