Showing 4 open source projects for "accurate"

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    Automate contact and company data extraction

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  • 1
    pixelmatch

    pixelmatch

    The smallest, simplest JavaScript pixel-level image comparison library

    The smallest, simplest and fastest JavaScript pixel-level image comparison library, originally created to compare screenshots in tests. Features accurate anti-aliased pixels detection and perceptual color difference metrics. Inspired by Resemble.js and Blink-diff. Unlike these libraries, pixelmatch is around 150 lines of code, has no dependencies, and works on raw typed arrays of image data, so it's blazing fast and can be used in any environment (Node or browsers). Compares two images, writes the output diff and returns the number of mismatched pixels.
    Downloads: 1 This Week
    Last Update:
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  • 2

    Image To Text tools

    ITTT is a Free tool designed to Scan and extract Text from Images.

    Image To Text Tools is a 100% Free user-friendly tool designed to Scan and extract containing text in images into editable text formats. Whether you need to extract text from scanned documents, photographs, or other image files, Image To Text Tools provides accurate and reliable Optical Character Recognition (OCR) capabilities to meet your needs.
    Downloads: 22 This Week
    Last Update:
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  • 3
    Face Alignment

    Face Alignment

    2D and 3D Face alignment library build using pytorch

    Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper. More models will be added soon.
    Downloads: 4 This Week
    Last Update:
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  • 4
    html2canvas

    html2canvas

    A JavaScript HTML screenshot renderer

    ...The script provides you with the tools to take screenshots of webpages directly on the browser. The screenshot is based on the DOM and therefore, it may not be 100% accurate to the real representation, given that it is not an actual screenshot, but a type of screenshot built based on the available data and information of the page. The script renders such page as a canvas image, by reading the DOM and the different styles of the featured elements. It doesn't require rendering from the server, given that the image is created on the user's browser. ...
    Downloads: 12 This Week
    Last Update:
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