6 projects for "anpr using python" with 2 filters applied:

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  • 1
    Kivy

    Kivy

    Innovative user interfaces made easy

    Kivy is an open source, cross-platform UI framework that lets you develop applications that make use of innovative, multi-touch user interfaces. Written in Python with a graphics engine built over OpenGL ES 2, Kivy supports various input devices and protocols, and gives you access to over 20 widgets that are all highly extensible and have built-in multi-touch support. You can run the same codebase on Mac, Windows, Linux, Android and iOS. Kivy is 100% free and open source with a professionally developed and used toolkit, as well as a stable framework and well-documented API, so you can be confident in using it in a commercial product.
    Downloads: 94 This Week
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  • 2
    Airtest

    Airtest

    UI Automation Framework for Games and Apps

    ...Airtest uses image recognition technology to locate UI elements so that you can automate games and apps without injecting any code. Airtest cases can be easily run on large device farms, using the command line or python API. HTML reports with detailed info and screen recording allow you to quickly locate failure points. NetEase builds Airlab on top of the Airtest Project. AirtestIDE is an out-of-the-box GUI tool that helps to create and run cases in a user-friendly way. AirtestIDE supports a complete automation workflow. ...
    Downloads: 9 This Week
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  • 3
    TensorFlow MacOS

    TensorFlow MacOS

    TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute

    This repository provided a pre-release of TensorFlow and TensorFlow Addons tailored for macOS 11+ with native hardware acceleration via Apple’s ML Compute, supporting both Apple Silicon (M1) and Intel Macs. It shipped ready-made Python 3.8 wheels and install scripts so developers could quickly get an accelerated stack running without building from source. As TensorFlow added a Metal PluggableDevice path, the project directed users toward using Apple’s tensorflow-metal to get GPU acceleration on Mac directly through Metal. The README and releases emphasized this was a macOS-optimized distribution, not an upstream fork of TensorFlow, and it cataloged common installation notes and issues encountered by early Apple Silicon users. ...
    Downloads: 0 This Week
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  • 4
    abu

    abu

    Abu quantitative trading system (stocks, options, futures, bitcoin)

    Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,...
    Downloads: 0 This Week
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    Train ML Models With SQL You Already Know

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  • 5
    Cocos2D-ObjC

    Cocos2D-ObjC

    Cocos2d for iOS and OS X, built using Objective-C

    Cocos2D-ObjC is a framework for building 2D games, demos, and other graphical/interactive applications for iOS, Mac and tvOS. It is based on the Cocos2D design, but instead of using Python it uses Swift and / or Objective-C. Integrated with Chipmunk physics engine (Served as an extension). Tile Map support. Orthogonal, Isometric and Hexagonal. Parallax scrolling (Served as an extension). Motion Streak (Served as an extension). Render To Texture (Served as an extension). Touch/Accelerometer on iOS. Touch/Mouse/Keyboard on Mac. ...
    Downloads: 0 This Week
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  • 6
    Perfect: Server-Side Swift

    Perfect: Server-Side Swift

    The Perfect core toolset and framework for Swift Developers

    Perfect is a web server and toolkit for developers using the Swift programming language to build applications and other REST services. It lets developers build using only Swift to program both the client-facing and server-side of their projects. It’s the ideal backbone for cloud and mobile technologies. Developers can be more productive and efficient using Perfect to write less code and work in one fundamental language for all their needs.
    Downloads: 0 This Week
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