Showing 4 open source projects for "image forgery detection"

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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). ...
    Downloads: 0 This Week
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  • 2
    JCppEdit v4.0

    JCppEdit v4.0

    Best IDE for Beginners

    JCppEdit is a free as well as "best IDE for Beginners" and is your one-stop IDE for all your coding needs. Whether you need to finish your Java project or submit your first HTML web page or perhaps have a need to code in C language while executing a java program into a Java IDE, JCppEdit will help you achieve your goals easily. Exploring your project and detecting an error in your code is much easier. You will not waste time detecting errors before compiling codes because you will get a...
    Downloads: 3 This Week
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  • 3
    clmtrackr

    clmtrackr

    Javascript library for precise tracking of facial features

    clmtrackr is a javascript library for fitting facial models to faces in videos or images. It currently is an implementation of constrained local models fitted by regularized landmark mean-shift, as described in Jason M. Saragih's paper. clmtrackr tracks a face and outputs the coordinate positions of the face model as an array. The library provides some generic face models that were trained on the MUCT database and some additional self-annotated images. Check out clmtools for building your...
    Downloads: 0 This Week
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  • 4
    tracking.js

    tracking.js

    A modern approach for Computer Vision on the web

    The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The...
    Downloads: 0 This Week
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