Showing 4 open source projects for "anpr using python"

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    flom

    flom

    Free Lock Manager

    ...FLoM supports different types of abstract resources: simple, numeric, set, hierarchical and transactional sequence. libflom, the library shipped with FLoM, allows you to develop your own application using a simple C, C++, Java, Perl, PHP or Python client API. SSL/TLS security for network communication, X.509 certificates for peer to peer mutual authentication.
    Downloads: 4 This Week
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  • 2
    Hashids

    Hashids

    A small PHP library to generate YouTube-like IDs from numbers

    Hashids is a small open-source library that generates short, unique, non-sequential ids from numbers. It converts numbers like 347 into strings like “yr8”, or array of numbers like [27, 986] into “3kTMd”. You can also decode those ids back. This is useful in bundling several parameters into one or simply using them as short UIDs. Hashids works similarly to the way integers are converted to hex, but with a few exceptions. The alphabet is not base16, but base base62 by default. The alphabet is...
    Downloads: 0 This Week
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  • 3
    Ansible Examples

    Ansible Examples

    A few starter examples of ansible playbooks, to show features

    This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be...
    Downloads: 2 This Week
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  • 4
    Neural Libs

    Neural Libs

    Neural network library for developers

    This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.
    Downloads: 0 This Week
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