• 目录
• 如何使用
• 播放列表
• CDN加速
  • 本站 (iptv.vodtv.cn) - (主站)
  • 镜像站(vodtv.netlify.app) -（国内访问快）
  • 镜像站(raw.gitlink.org.cn) -（国内访问快）
  • 镜像站(raw.gitcode.com) -（国内访问快）
  • 镜像站(fastly.jsdelivr.net || cdn.jsdelivr.net) -（国内访问快）
  • 镜像站(cdn.gitmirror.com ) -（备用）
  • 原网址前加（ghproxy.net || mirror.ghproxy.com） -（国内访问快）
• 当前更新
• 免责申明
• kylin-assistant
• Attention
• Depends
• GitHub
• Internationalization
• Python Internationalization
• IELTS Resources
  • Table of Contents
  • Listening
  • Reading
  • Writing
  • Speaking
  • Mock Tests
• 若依内容管理系统简介
• 运行说明
• 项目演示
  • 若依简介
  • 内置功能
  • 在线体验
  • 演示图
  • 若依交流群
• 总体设计
  • OpengaussCluster资源关系示意图
  • Pod迁移示意图
• opengauss-operator部署及使用
  • 一、部署流程
    • 1.环境准备
    • 2.拉取镜像
    • 3.部署CRD
    • 4.部署controller
    • 5.部署webhook
      • 1. 获取caBundle
      • 2.使用1中获取的caBundle替换hook.yaml中的caBundle字段
      • 3.使用webhook-cert.sh脚本生成证书和秘钥
      • 4.部署
  • 二、使用operator
    • 1.部署单节点opengauss集群
    • 2.部署主备模式
    • 3.缩扩容
    • 4.升级
    • 5.pod迁移
  • Sponge Examples
    • Examples of creating a service using sponge
    • Examples of developing a complete project using sponge
    • Sponge+DTM distributed transaction examples
    • Sponge + built-in AI assistant collaborative development example
• README: Tcl
  • Contents
  • 1. Introduction
  • 2. Documentation
    • 2a. Unix Documentation
    • 2b. Windows Documentation
  • 3. Compiling and installing Tcl
  • 4. Development tools
  • 5. Tcl newsgroup
  • 6. Tcl’ers Wiki
  • 7. Mailing lists
  • 8. Support and Training
  • 9. Tracking Development
  • 10. Thank You
• issue1
• 实验环境：
• 实验步骤：
• issue2
  • 我们使用开放网络作为开发环境。
  • 搭建本地节点
• CGAN_Jittor
  • 赛题介绍
  • 赛题内容
  • 示例代码
  • 评测方式
  • 提交结果格式说明
  • 注意事项
  • 什么是openGauss
  • 安装
    • 创建配置文件
    • 初始化安装环境
    • 执行安装
    • 卸载openGauss
      • 执行卸载
      • 一键式环境清理
  • 编译
    • 概述
    • 操作系统和软件依赖要求
    • 下载openGauss
    • 编译第三方软件
    • 代码编译
      • 使用build.sh编译代码
      • 使用命令编译代码
    • 编译安装包
  • 快速入门
  • 文档
  • 社区
    • 治理
    • 交流
  • 贡献
  • 发行说明
  • 许可证
• 一套基于nodom的组件库。
• GraphGallery
• 💨 NEWS
• 🚀 Installation
• 🤖 Implementations
  • Node Classification
    • Defense models (for Graph Adversarial Learning)
      • Robust Optimization
      • Graph Purification
  • LinkPrediction
  • Node Embedding
• ⚡ Quick Start on GNNs
  • Datasets
  • Example of GCN (Node Classification Task)
  • Other Backends
• ❓ How to add your datasets
• ⭐ Road Map
• ❓ FAQ
• 😘 Acknowledgement
• Cite
• RadioTimeKit - The Swift SDK for TuneIn
  • Installation
    • Swift Package Manager
    • Carthage
  • Developer Notes
  • Contact
  • License
• How to Contribute
  • Sign the CLA
  • Steps of submitting patches
  • Use the unified patch format
  • Define the patch format
  • Examples
  • Email client - Thunderbird settings
• Linux kernel
• 《智能体工程与知识工作流》课程体系说明
  • 1. 课程简介
  • 2. 课程目标 （Course Objectives）
  • 3. 课程学习方法论
  • 4. 课程体系设计
  • 5. 课程 Git 分支策略设计
  • 6. 如何开始学习
    • Fork课程仓库
    • Clone到本地
    • 创建你的学习分支（推荐做法）
  • 许可声明
    • 项目简介
• Features
• Requirements
• Installing
  • Manual
  • CocoaPods
  • Carthage
  • Swift Package Manager
• Usage
  • Shared Queuer
  • Custom Queue
  • Create an Operation Block
  • Chained Operations
  • Queue States
  • Asynchronous Operation
  • Synchronous Operation
  • Automatically Retry an Operation
  • Manually Retry an Operation
  • Scheduler
  • Semaphore
  • Queue State Restoration (Beta)
• Documentation
• Changelog
• Communication
• Contributing
• Author
• License
• test
  • 项目简介
• Papyrus
  • Requirements
  • Installation
    • Swift Package Manager
  • Documentation
  • Usage
    • Saving
      • Example A
      • Example B - Relationships
      • Example C - Merge
    • Fetching by ID
      • Example A
      • Example B
      • Example C
    • Fetching collections
      • Example A - Simple fetch
      • Example B - Filtering
      • Example C - Sorting
      • Example D - Observing changes with Combine
      • Example E - All together
      • Example F - Observing changes with a stream
    • Deleting
      • Example A
      • Example B
      • Example C
    • Migrations (experimental)
      • Example A
• CGAN
  • Training the model
• Swiftfall
• Swiftfall Documentation
  • Types
    • Types That Hold Data
      • Card
      • ScryfallSet
      • Ruling
      • Catalog
    • Structs which contain Arrays of Types
      • CardList
      • SetList
      • RulingList
  • Functions
    • Get a Card
      • Double-Sided Cards
    • Get a list of Cards
    • Get a ScryfallSet
    • Get a list of Cards in a Set
    • Get a list of ScryfallSets
    • Get a list of Rulings
    • Get a Ruling
    • Get a Catalog
  • Testing
    • Example
• How to set up Swiftfall
• Catalog Examples
• YoCelsius
• 基于K3S的联邦学习与增量学习
  • 实验介绍
  • 预备环境
    • 1. 安装NFS
      • Master端
      • Node端
    • 2. 安装Docker
    • 3. 安装K3S
      • Master节点
      • Node节点
    • 4. 安装编译Docker
    • 5. 配置Python库（用于本地测试）
    • 6. 新建命名空间
    • 7. 设置pvc
  • 实验
    • 1. 启动联邦训练
  • Tools
    • 删除一个jod
    • 部署测试：
    • 查看训练Log
    • 删除全部的jobs
• network_ios: network related commands for ios_system
  • How to compile:
  • How to link:
• BinaryEncoding
  • Requirements
  • Design
    • BinaryEncodedData
    • UnsafeRawBufferPointer.Reader and UnsafeMutableRawBufferPointer.Writer
• CodeScanner
  • Basic usage
  • Customization options
  • Examples
  • Credits
  • License
• LogDog
  • Usage
    • SugarLogHandler
    • Sink
      • Formatter
      • Filter
      • Concat
      • Schedule
      • Hook
    • Appender
      • Built-in Appenders
  • Community
    • LogDogChalk
    • LogDogCryptoSwift
    • LogDogCocoaLumberjack
  • Installation
    • Swift Package Manager
    • CocoaPods
• dataanalysis
• HTTP Client
  • Installation
  • Usage
  • Key encoding strategies
• SecretsManager
  • Features
  • Usage
  • Setup
    • Xcode Projects
    • Swift Package Manager
  • Security
• Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning
  • Introduction
  • Contents
  • Installation
  • Usage
    • Testing on localhost
    • Testing on two
  • Disclaimer
• Node
• OpenHarmony开源项目
  • 项目介绍
  • 技术架构
  • 技术特性
  • 系统类型
  • 详细特征
  • 支持的开发板
  • 快速入门
  • 代码仓地址
  • 开发者文档
  • 源码下载
  • 示例教程
  • 如何参与
  • 许可协议
  • 联系方式
• Google ARCore SDK For iOS
  • Quickstart
  • API Reference
  • Examples
  • Release Notes
  • Installation
    • Using Swift Package Manager
    • Additional Steps
  • User privacy requirements
  • Additional Terms
  • License and Terms of Service
  • Deprecation policy
• lz
• Kitura-NIO
  • Features
  • Using Kitura-NIO
  • Getting Started
  • Contributing to Kitura-NIO
  • Community
  • License
• gRPC – An RPC library and framework
  • To start using gRPC
  • To start developing gRPC
  • Troubleshooting
  • Performance
  • Concepts
  • About This Repository
  • 什么是openGauss
  • 安装
    • 创建配置文件
    • 初始化安装环境
    • 执行安装
    • 卸载openGauss
      • 执行卸载
      • 一键式环境清理
  • 编译
    • 概述
    • 操作系统和软件依赖要求
    • 下载openGauss
    • 编译第三方软件
    • 代码编译
      • 使用build.sh编译代码
      • 使用命令编译代码
    • 编译安装包
  • 快速入门
  • 文档
  • 社区
    • 治理
    • 交流
  • 贡献
  • 发行说明
  • 许可证
• Xamarin.Forms
• Support
  • Build Status
  • Packages
  • Getting Started
    • Windows
      • Install Visual Studio 2019+
      • Provisioning script
    • Mac
      • Install Visual Studio for Mac 2019
        • Solution Configuration
        • Build from the Command line
    • UI Tests
      • Run Android UI Tests
      • Run UWP UI Tests
  • Coding Style
  • Contributing
    • Reporting Bugs
  • Stats
• Coding Interview University
  • What is it?
  • Table of Contents
    • The Study Plan
    • Topics of Study
    • Getting the Job
    • Optional Extra Topics & Resources
  • Why use it?
  • How to use it
    • If you don’t want to use git
    • If you’re comfortable with git
  • Don’t feel you aren’t smart enough
  • A Note About Video Resources
  • Choose a Programming Language
    • For this Study Plan
    • For your Coding Interview
  • Books for Data Structures and Algorithms
    • C
    • Python
    • Java
    • C++
  • Interview Prep Books
    • If you have tons of extra time:
  • Don’t Make My Mistakes
    • 1. You Won’t Remember it All
    • 2. Use Flashcards
    • 3. Do Coding Interview Questions While You’re Learning
    • 4. Focus
  • What you won’t see covered
  • The Daily Plan
  • Coding Question Practice
  • Coding Problems
  • Let’s Get Started
  • Algorithmic complexity / Big-O / Asymptotic analysis
  • Data Structures
    • Arrays
    • Linked Lists
    • Stack
    • Queue
    • Hash table
  • More Knowledge
    • Binary search
    • Bitwise operations
  • Trees
    • Trees - Intro
    • Binary search trees: BSTs
    • Heap / Priority Queue / Binary Heap
  • Sorting
  • Graphs
  • Even More Knowledge
    • Recursion
    • Dynamic Programming
    • Design patterns
    • Combinatorics (n choose k) & Probability
    • NP, NP-Complete and Approximation Algorithms
    • How computers process a program
    • Caches
    • Processes and Threads
    • Testing
    • String searching & manipulations
    • Tries
    • Floating Point Numbers
    • Unicode
    • Endianness
    • Networking
  • Final Review
  • Update Your Resume
  • Interview Process & General Interview Prep
  • Be thinking of for when the interview comes
  • Have questions for the interviewer
  • Once You’ve Got The Job
  • Additional Books
  • System Design, Scalability, Data Handling
  • Additional Learning
    • Compilers
    • Emacs and vi(m)
    • Unix command line tools
    • Information theory (videos)
    • Parity & Hamming Code (videos)
    • Entropy
    • Cryptography
    • Compression
    • Computer Security
    • Garbage collection
    • Parallel Programming
    • Messaging, Serialization, and Queueing Systems
    • A*
    • Fast Fourier Transform
    • Bloom Filter
    • HyperLogLog
    • Locality-Sensitive Hashing
    • van Emde Boas Trees
    • Augmented Data Structures
    • Balanced search trees
    • k-D Trees
    • Skip lists
    • Network Flows
    • Disjoint Sets & Union Find
    • Math for Fast Processing
    • Treap
    • Linear Programming (videos)
    • Geometry, Convex hull (videos)
    • Discrete math
  • Additional Detail on Some Subjects
  • Video Series
  • Computer Science Courses
  • Algorithms implementation
  • Papers
  • LICENSE
  • Online demo
  • Documentation
  • Install
  • How to connect to Casdoor?
  • Casdoor Public API
  • Integrations
  • How to contact?
  • Contribute
    • I18n translation
  • License
• obkv-table-client-rs
  • 🚧 Experimental – Not for Production Use
  • Examples
  • Acknowledgment
  • Contributing
  • Licencing
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• linlnf_test
• Todo App
  • Running
    • 从命令行创建一个新的仓库
    • 从命令行推送已经创建的仓库
• TV
• test-abcbac
• Pipenv: Python Development Workflow for Humans
  • Table Of Contents
  • Installation
  • Features
    • Basic Concepts
    • Shell Completion
  • Usage
    • Usage Examples:
    • Commands:
    • Locate the project:
    • Locate the virtualenv:
    • Locate the Python interpreter:
    • Install packages:
    • Installing from git:
    • Install a dev dependency:
    • Show a dependency graph:
    • Generate a lockfile:
    • Install all dev dependencies:
    • Uninstall everything:
    • Use the shell:
  • Documentation
  • Star History
• UKDoznlCY
• JGAN
  • News
  • Table of Contents
  • Installation
  • models
    • Auxiliary Classifier GAN
      • Authors
      • Run Example
    • Adversarial Autoencoder
      • Authors
      • Run Example
    • BEGAN
      • Authors
      • Run Example
    • BicycleGAN
      • Authors
      • Run Example
    • Boundary-Seeking GAN
      • Authors
      • Run Example
    • Cluster GAN
      • Authors
      • Run Example
    • Conditional GAN
      • Authors
      • Run Example
    • Context Encoder
      • Authors
      • Run Example
    • Coupled GAN
      • Authors
      • Run Example
    • CycleGAN
      • Authors
      • Run Example
    • Deep Convolutional GAN
      • Authors
      • Run Example
    • DRAGAN
      • Authors
      • Run Example
    • Energy-Based GAN
      • Authors
      • Run Example
    • Enhanced Super-Resolution GAN
      • Authors
      • Run Example
    • GAN
      • Authors
      • Run Example
    • InfoGAN
      • Authors
      • Run Example
    • Least Squares GAN
      • Authors
      • Run Example
    • Pix2Pix
      • Authors
      • Run Example
    • PixelDA
      • Authors
      • MNIST to MNIST-M Classification
    • Relativistic GAN
      • Authors
      • Run Example
    • Semi-Supervised GAN
      • Authors
      • Run Example
    • Softmax GAN
      • Authors
      • Run Example
    • StarGAN
      • Authors
      • Run Example
    • UNIT
      • Authors
      • Run Example
    • Wasserstein GAN
      • Authors
      • Run Example
    • Wasserstein GAN GP
      • Authors
      • Run Example
    • Wasserstein GAN DIV
      • Authors
      • Run Example
• Notes
  • Introduction
  • Content
  • Efficient Tools
  • Experimental Tools
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• cinnon
  • 特性
  • 部署
    • Depends Versions
    • Steps
      • 1. 克隆稳定版本
      • 2. 安装依赖包
      • 3. 配置初始化文件
      • 4. 配置数据库
      • 5. 配置gitea服务(可选)
      • 6. 安装redis环境
      • 7. 安装imagemagick插件
      • 8. 创建数据库
      • 9. 导入数据表结构
      • 10. 执行migrate迁移文件
      • 11. clone前端代码
      • 12. 启动redis(此处已mac系统为例)
      • 13. 启动sidekiq
      • 14. 启动rails服务
      • 15. 浏览器访问
      • 16. 其他说明
  • 页面展示
    • API
  • 贡献代码
  • License
  • ScaLAPACK Library Versioning
  • How it works
  • Building a Probot App
  • Contributing
  • Ideas
• work
• JSONConfig 简体中文
  • Setup:
  • Example usage:
• Swift Distributed Actors
  • Introduction
    • Beta software
    • What are Distributed Actors?
    • Samples
  • Documentation
  • Development
    • IDE Support: Xcode
    • IDE Support: Other IDEs
    • Warnings
  • Documentation workflow
  • Integration tests
  • Supported Versions
    • What type of PR is this?
    • Check the PR title.
    • (Optional) Translate the PR title into Chinese.
    • (Optional) More detailed description for this PR(en: English/zh:
    • (Optional) Which issue(s) this PR fixes:
    • (Optional) The PR that updates user documentation:
• Hertz
  • 框架特点
  • 详细文档
    • 快速开始
    • Example
    • 用户指南
    • 基本特性
    • 可观测性
    • 框架扩展
    • 参考
    • FAQ
  • 框架性能
  • 相关项目
  • 相关拓展
  • 相关文章
  • 贡献代码
  • RoadMap
  • 开源许可
  • 联系我们
  • 贡献者
  • Landscapes
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• Perfect CRUD 简体中文
• Contents
  • General Usage
  • Operations
    • Database
      • Transaction
      • Create
      • Table
      • SQL
    • Table
      • Index
    • Join
    • Where
    • Order
    • Limit
    • Update
    • Insert
    • Delete
    • Select & Count
  • Database Specific Operations
    • MySQL
      • Last Insert Id
    • SQLite
      • Last Insert Id
    • PostgreSQL
      • Returning
  • Codable Types
    • Identity
  • Error Handling
  • Logging
• Cpng
• ICCV2021
• RxSmartThrottle
  • Example: Exponential Backoff
• Install
• LICENSE
• CustomPageableCollectionView
• What?
• Usage
• Limitations
• How does it work?
• Composable Core Location
  • Example
  • Basic Usage
  • Installation
  • Documentation
  • Help
  • License
  • MiniLexer
• test
• Getting Started with EpicSim
  • 1. Install From Source
    • 1.1 Compile Time Prerequisites
    • 1.2 Compilation
  • 2. Hello, World!
  • 3. How EpicSim Works
    • 3.1 Preprocessing
    • 3.2 Parse
    • 3.3 Elaboration
      • 3.3.1 Scope Elaboration
      • 3.3.2 Netlist Elaboration
    • 3.4 Optimization
    • 3.5 Code Generation
  • 4 Unsupported Constructs
  • 5 Commonly Used Flags/Options
• RqnGydNQZ
• 欢迎来到The Art of Git！
  • 1. 项目简介
  • 2. 核心理念
  • 3. 学习路线图
  • 4. 仓库目录结构蓝图
  • 4. 快速开始
    • 4.1 复刻仓库 (Fork)
    • 4.2 克隆到本地 (Clone)
    • 4.3 贡献到项目（Pull Request）
  • 6. 推荐学习资源
  • 7. AI生成内容声明
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• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• XuperChain
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• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• pWtPUdKYx
• GoogleAppMeasurement
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• Swift Client for TVM SDK (toncoin, everscale, venom, gosh)
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• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• Cart
  • 简介
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• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• LangChain4j Examples
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• Installation and setup
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    • 0.4
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      • OS X with Xcode
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  • 已知问题
  • 参考：
• 12222
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• 《智能体工程与知识工作流》课程体系说明
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    • Fork课程仓库
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  • 附加文档
  • License
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• ukui-menu
  • To be continued…
  • 项目介绍
  • 检测能力
  • 下载安装
  • 使用样例
  • 参数说明
    • 漏洞库文件格式
      • 漏洞库字段说明
  • 向我们贡献
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• LLMwithEyes
• 北师大OpenCT社区/OpenItem项目
  • 项目背景
  • 项目内容
    • 大规模在线题库建设
    • 智能命题系统开发
    • 教师与学生互动平台
  • 项目优势
  • 目标
  • 难度
  • 产出要求
  • 能力要求
  • 导师
  • 参与方式
  • 结语
• intelligence
• Pwngdb
  • Install
    • install
    • pwndbg
    • Heapinfo
  • Features
  • Screenshot
• 工程简介
• 延伸阅读
  • 从命令行创建一个新的仓库
  • 从命令行推送已经创建的仓库
  • What is ob-deps
  • Quick start
    • Prerequisite
    • Building
    • Others
• 静态链接 C# 到 Rust
  • C# 项目部分
  • Rust 项目部分
  • Linux 兼容
  • 最终版本
• hgbao-ui
• crddemo : Kubernetes 自定义控制器Demo例子
  • 基
  • 执行生成Kubernetes客户端代码
  • 编译项目
  • 执行程序文件
• API
  • Overview
    • Channels
    • Feeds
    • Logos
    • Streams
    • Guides
    • Categories
    • Languages
    • Countries
    • Subdivisions
    • Cities
    • Regions
    • Timezones
    • Blocklist
  • Contribution
• 《智能体工程与知识工作流》课程体系说明
  • 1. 课程简介
  • 2. 课程目标 （Course Objectives）
  • 3. 课程学习方法论
  • 4. 课程体系设计
  • 5. 课程 Git 分支策略设计
  • 6. 如何开始学习
    • Fork课程仓库
    • Clone到本地
    • 创建你的学习分支（推荐做法）
  • 许可声明
• iHealth智能药店
  • 大模型使用百度ERNIE-3.5-8K
  • 阿里云服务器已停机
    • 项目介绍及说明
    • 项目部署与展示
    • 安装使用教程
• Intro
  • 为什么做Bianbu
  • 愿景
  • Bianbu Desktop
    • 系统架构
    • 软件组件
      • 应用
      • 框架
      • 运行时
      • 库
      • Linux 内核
      • U-Boot
      • OpenSBI
    • 支持的设备
  • 固件
• JimuReport积木报表(免费报表工具)
  • 技术文档
  • 快速集成积木报表
    • 第一步：引入积木报表依赖
    • 第二步：引入积木BI依赖(大屏和仪表盘)
    • 第三步：初始化SQL和详细必须配置
  • jimureport-example环境要求
  • 绿色免安装版本
  • 授权协议
  • 产生背景
  • 为什么选择 JimuReport?
  • 数据库兼容
  • 报表工作台
  • 仪表盘和门户设计
  • 大屏设计效果
  • 大屏高级效果展示
  • 报表功能清单
  • 仪表盘功能清单
  • 捐赠
• SwiftUIMessage
  • Documentation
  • Usage Notes
  • Examples
    • MailComposeView
    • MessageComposeView
• MarkdownView
• Supported Platforms
• Highlighted Features
• Getting started
• Further Customization
  • Font
  • Tint
• Add Custom Providers
• Todos
• Swift Package Manager
• Dependencies
• Arduino-Pico
• Documentation
• Contributing
• Supported Boards
• Features
• Installing via Arduino Boards Manager
  • Windows-specific Notes
  • Linux-specific Notes
  • Installation
• Installing via GIT
• Uploading Sketches
• Uploading Filesystem Images
• Uploading Sketches with Picoprobe/Debugprobe
• Debugging with Picoprobe, OpenOCD, and GDB
• Licensing and Credits
  • Requirements
  • Getting Started
  • Usage
    • Async
    • Await
    • Custom queues
  • Installation
    • CocoaPods
    • Swift Package Manager
    • Carthage
    • Manually
  • Contribution
  • Contact
  • License (MIT)
• Base58
  • Platforms
  • Installation
    • Swift Package Manager
  • Usage
  • License
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• LuaSnip
• Features
• Drawbacks
• Requirements
• Setup
  • Install
  • Keymaps
  • Add Snippets
  • Documentation
    • Getting started
    • Official docs and examples
    • Resources for new users
      • 项目简介
• sam2-scribble-prompt-oc-v1-r2
  • Introduction
• SwiftyUtils
  • Contents
  • Swift, Foundation and CoreGraphics Extensions
    • Array extension
    • Bundle extension
    • CGFloat extension
    • CGPoint extension
    • CGRect extension
    • CGSize extension
    • Color extension
    • Data Extension
    • Date extension
    • Dictionary extension
    • Double extension
    • FileManager extension
    • Int extension
    • MutableCollection extension
    • NotificationCenter extension
    • NSAttributedString extension
    • NSLayoutConstraint extension
    • NSMutableAttributedString extension
    • NSObject extension
    • NSRange extension
    • ReusableFormatters
    • Sequence extension
    • String extension
    • Timer extension
    • URL extension
    • UserDefaults extension
  • SwiftUI
    • UIElementPreview
  • SwiftUI Extensions
    • Binding extension
  • UIKit Extensions
    • UIAlertController extension
    • UIApplication extension
    • UIButton extension
    • UICollectionView extension
    • UICollectionViewCell extension
    • UIFont extension
    • UIDevice extension
    • UIImage extension
    • UILabel extension
    • UIScreen extension
    • UISlider extension
    • UIStoryboard extension
    • UISwitch extension
    • UITableView
    • UITextField extension
    • UITextView extension
    • UIView extension
    • UIViewController extension
  • UIKit Protocols:
    • NibLoadable
    • NibOwnerLoadable
  • AppKit, Cocoa Extensions
    • NSView extension
  • Protocols
    • Injectable
    • Occupiable
    • Then
  • PropertyWrappers
    • UserDefaultsBacked
  • Others
    • UnitTesting
    • UITesting
    • Shell Utility
  • Installation
    • Manually
    • CocoaPods
    • Carthage
    • Swift Package Manager
  • Feedback
  • Contact
  • License
• JCCE-installer
• yihuos
• 智能语录快报
  • 作品完成和提交方式：选择本赛题的参赛队伍需要首先复刻（Fork）本项目，然后在复刻的项目中添加参赛队员、合作完成作品开发即可，无需提交PR到赛题项目。如果作品为文档形式，也请将作品文档提交到项目代码库中。在作品完成过程中，围绕作品的相关讨论等可以以疑修（Issue）形式发布和讨论，也可使用里程碑对整个任务进行规划管理。
  • 1. 赛题说明
  • 2. 赛题要求
  • 3. 赛题导师
  • 4. 参考资料
• IntelligentUAVPathPlanningSimulationSystemS-Drone
  • Video Introduction
  • Main Features
    • 1. Software Interface
    • 2. Software Architecture (plug-ins to be implemented for some extended functions)
    • 3. Code
    • 4. Multidimensional View
      • Two-dimensional view (1)
      • Two-dimensional view (2)
      • 3d view
    • 5. UAV Control
      • Console Control
      • Intelligent Control
      • Ground Station Control
    • 6. Set Flight Mission
      • Flight Mission(1)
      • Flight Mission(2)
      • Flight Mission(3)
    • 7. Path planning
      • Directory Structure
        
    • Outdoor obstacle avoidance
      • Custom routes and obstacle areas
      • rrt_2D Path optimization effect chart
      • Search_2D Path optimization effect chart
    • Indoor obstacle avoidance
      • rrt_3D_Indoor obstacle avoidance renderings
      • Search_3D_Indoor obstacle avoidance renderings
    • Path optimization
      • The algorithm generates the flight status of each UAV, the navigation point and the flight distance information
      • Path optimization effect chart
  • Solve The Problem
  • Application Scenarios And Benefits
  • EXTENSION
    
    • On the formation simulation of multi-UAV
    • About the flight line under Flylitchi
    • Mission Planner + Google Earth log generates 3D trajectory maps
• ZiMVlLIko
• KDYsfIVSg
  • gperftools
  • OVERVIEW
  • TCMALLOC
  • HEAP PROFILER
  • CPU PROFILER
  • CONFIGURATION OPTIONS
  • ENVIRONMENT VARIABLES
  • COMPILING ON NON-LINUX SYSTEMS
    • This project is to extract data from st.

This project is to extract data from st.