Showing 4 open source projects for "extensions"

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  • 1
    Open Camera

    Open Camera

    Camera app for Android.

    Open Camera is an Open Source Camera app for Android(TM) phones and tablets. * Get it on Google Play: https://play.google.com/store/apps/details?id=net.sourceforge.opencamera * Get it on F-Droid: https://f-droid.org/en/packages/net.sourceforge.opencamera/ * Or you can download the APK/source directly, see "Files" above. Android, Google Play and the Google Play logo are trademarks of Google LLC.
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    Downloads: 964 This Week
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  • 2
    libjpeg-turbo

    libjpeg-turbo

    SIMD-accelerated libjpeg-compatible JPEG codec library

    ...libjpeg-turbo implements both the traditional libjpeg API as well as the less powerful but more straightforward TurboJPEG API. libjpeg-turbo also features colorspace extensions that allow it to compress from/decompress to 32-bit and big-endian pixel buffers (RGBX, XBGR, etc.), as well as a full-featured Java interface.
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    Downloads: 36,823 This Week
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  • 3
    LTMorphingLabel

    LTMorphingLabel

    Animated morphing effects for UILabel written in Swift

    A morphing UILabel subclass written in Swift. The .Scale effect mimicked Apple's QuickType animation of iOS 8 of WWDC 2014. New morphing effects are available as Swift extensions. XCFramework is a new option introduced in Xcode 11. You can manually download the pre-compiled LTMorphingLabel.xcframework.zip from the Releases page. Then drag and drop it into your project. Change the class of a label from UILabel to LTMorphingLabel. Programmatically set a new String to its text property. To use interactively, call .pause() after changing .text property, and use updateProgress(progress: Float)to update the progress interactively. ...
    Downloads: 0 This Week
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  • 4
    Simd

    Simd

    High performance image processing library in C++

    ...It provides many useful high performance algorithms for image processing such as: pixel format conversion, image scaling and filtration, extraction of statistic information from images, motion detection, object detection (HAAR and LBP classifier cascades) and classification, neural network. The algorithms are optimized with using of different SIMD CPU extensions. In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems.
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    Downloads: 17 This Week
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