Showing 5 open source projects for "extension"

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    GoogleTest

    GoogleTest

    Google Testing and Mocking Framework

    ...It's used by many internal projects at Google, as well as a number of notable projects such as The Chromium projects, the OpenCV computer vision library, and the LLVM compiler. This GoogleTest project is actually a union of what used to be two separate projects: the old GoogleTest and GoogleMock, an extension of GoogleTest for writing and using C++ mock classes. Since they were so closely related, they were merged to create an even better GoogleTest. GoogleTest features an xUnit test framework, a rich set of assertions, user-defined assertions, death tests, among many others. It's been used on a variety of platforms, including Cygwin, Symbian, MinGW and PlatformIO.
    Downloads: 10 This Week
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  • 2
    Phi-3-MLX

    Phi-3-MLX

    Phi-3.5 for Mac: Locally-run Vision and Language Models

    Phi-3-Vision-MLX is an Apple MLX (machine learning on Apple silicon) implementation of Phi-3 Vision, a lightweight multi-modal model designed for vision and language tasks. It focuses on running vision-language AI efficiently on Apple hardware like M1 and M2 chips.
    Downloads: 0 This Week
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  • 3
    Show Facebook Computer Vision Tags

    Show Facebook Computer Vision Tags

    Chrome Extension that displays automated image tags from Facebook

    Show Facebook Computer Vision Tags is a Chrome (and Firefox) browser extension created to expose and overlay the automatically generated image tags that Facebook applies to photos in users’ feeds. Since Facebook uses a computer-vision model to analyse user-uploaded images and generate alt-text tags for accessibility (e.g., “Image may contain: golf, grass, outdoor and nature”), this extension surfaces those hidden tags directly in the UI—revealing what kind of information Facebook infers about images (objects present, activities being done, environment). ...
    Downloads: 0 This Week
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  • 4
    R-FCN

    R-FCN

    R-FCN: Object Detection via Region-based Fully Convolutional Networks

    ...R-FCN is efficient (low per-region overhead) and competitive in accuracy (e.g. with ResNet backbones). Position-sensitive score maps for per-region classification without expensive per-region convs. Optional “deformable R-FCN” extension for improved performance.
    Downloads: 0 This Week
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  • 5
    ImageNets
    ImageNets is an computer vision and image processing extension to the OpenCV library for user-friendly programming of Robot Vision algorithms. ImageNets uses Qt by Nokia. ImageNets is ideal for education of image processing.
    Downloads: 0 This Week
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