8 projects for "image algorithm" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

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  • Build Securely on Azure with Proven Frameworks Icon
    Build Securely on Azure with Proven Frameworks

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    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 1
    Blurhash

    Blurhash

    Library to show colorful blurry placeholders while your content loads

    ... to be added as a field in a JSON object and to be stored in a database. The implementations are small and easy to port to new languages, and the end result is a smooth and interesting experience for your users. In short, BlurHash takes an image and gives you a short string (only 20-30 characters!) that represents the placeholder for this image. You do this on the backend of your service and store the string along with the image.
    Downloads: 0 This Week
    Last Update:
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  • 2
    SwiftOCR

    SwiftOCR

    Fast and simple OCR library written in Swift

    SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract...
    Downloads: 1 This Week
    Last Update:
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  • 3
    Zopfli

    Zopfli

    Zopfli Compression Algorithm is a compression library

    ... than compression time. A companion utility, zopflipng, targets PNGs by trying alternate filter strategies and recompressing IDAT chunks, often achieving additional savings without changing image quality. The codebase includes both a reusable library and ready-to-use CLI tools for bulk optimization in build pipelines. It is frequently used offline—e.g., as a final step in release builds—because decode speed remains normal while files get smaller.
    Downloads: 1 This Week
    Last Update:
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  • 4

    Extract Objects from Image

    Connected Component Labeling Algorithm - Extracting Objects From image

    fast Connected Component Labeling Algorithm - java application - Extracting Objects From image
    Downloads: 0 This Week
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  • Photo and Video Editing APIs and SDKs Icon
    Photo and Video Editing APIs and SDKs

    Trusted by 150 million+ creators and businesses globally

    Unlock Picsart's full editing suite by embedding our Editor SDK directly into your platform. Offer your users the power of a full design suite without leaving your site.
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  • 5
    CLAW is a C++ Library providing various tools in different domains, like a Tweener framework, Bézier curves manipulation, a map with multiple value types, a binary search tree container implemented as an AVL and an implementation of the sockets as std::stream. The library also includes a set of classes to easily load and write png, jpeg, gif files and other image formats. Finally, a part of the library is devoted to artificial intelligence in games and includes a generic alpha-beta...
    Downloads: 1 This Week
    Last Update:
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  • 6
    OpenGI is a platform-independent C-library for parameterizing triangular meshes and creating Geometry Images from this parameterization.
    Downloads: 4 This Week
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  • 7
    G.A.V. (Graph Algorithm Visualizer) is a tool that visualizes algorithms from graph theory. A step-by-step visualization from each different algorithm allows the user to understand the particular algorithm very easily.
    Downloads: 0 This Week
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  • 8
    CRFasRNN

    CRFasRNN

    Semantic image segmentation method described in the ICCV 2015 paper

    CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover...
    Downloads: 0 This Week
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