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  2. libcamera - Wikipedia

    en.wikipedia.org/wiki/Libcamera

    libcamera is an open-source software library for image signal processors and embedded cameras on Linux distributions such as Android, ChromeOS and Ubuntu. [3] [4] [5] ...

  3. Video4Linux - Wikipedia

    en.wikipedia.org/wiki/Video4Linux

    Video4Linux (V4L for short) is a collection of device drivers and an API for supporting realtime video capture on Linux systems. [1] It supports USB webcams, TV tuners, CSI cameras, and related devices, standardizing their output, so programmers can easily add video support to their applications.

  4. LibRaw - Wikipedia

    en.wikipedia.org/wiki/LibRaw

    Free and open-source software portal; LibRaw is a free and open-source software library for reading raw files from digital cameras. It supports virtually all raw formats. It is based on the source code of dcraw, with modifications, [4] and "is intended for embedding in raw converters, data analyzers, and other programs using raw files as the initial data."

  5. Liveness test - Wikipedia

    en.wikipedia.org/wiki/Liveness_test

    A liveness test, liveness check or liveness detection is an automated means of checking whether a subject is a real person or part of a spoofing attack.. In a video liveness test, users are typically asked to look into a camera and to move, smile or blink, and features of their moving face may then be compared to that of a still image.

  6. Category:Linux stubs - Wikipedia

    en.wikipedia.org/wiki/Category:Linux_stubs

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  7. Talk:Libcamera - Wikipedia

    en.wikipedia.org/wiki/Talk:Libcamera

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate

  8. File:Logo of libcamera.svg - Wikipedia

    en.wikipedia.org/wiki/File:Logo_of_libcamera.svg

    Uploaded a work by libcamera from https://libcamera.org with UploadWizard: File usage. The following page uses this file: Libcamera; Metadata.

  9. OpenVINO - Wikipedia

    en.wikipedia.org/wiki/OpenVINO

    OpenVINO IR [5] is the default format used to run inference. It is saved as a set of two files, *.bin and *.xml, containing weights and topology, respectively.It is obtained by converting a model from one of the supported frameworks, using the application's API or a dedicated converter.