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libuvc avatar

libuvc/libuvc

0
View on GitHub↗
1,144 estrellas·555 forks·C·3 vistaslibuvc.github.io↗

Libuvc

a cross-platform library for USB video devices

Features

  • Video Processing - Cross-platform library for interfacing with USB video devices.

Historial de estrellas

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Preguntas frecuentes

¿Qué hace libuvc/libuvc?

a cross-platform library for USB video devices

¿Cuáles son las características principales de libuvc/libuvc?

Las características principales de libuvc/libuvc son: Video Processing.

¿Qué alternativas de código abierto existen para libuvc/libuvc?

Las alternativas de código abierto para libuvc/libuvc incluyen: aizvorski/scikit-video — Video processing routines for SciPy. cisco/openh264 — OpenH264 is a library for encoding and decoding video using the H.264 standard. It provides tools to transform raw… djkovrik/blinktracker. dpethes/fevh264 — fevh264. h4tr3d/avcpp — C++ wrapper for FFmpeg. abhitronix/vidgear — VidGear is a high-performance Python video processing framework designed for capturing, transcoding, and manipulating…

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  • aizvorski/scikit-videoAvatar de aizvorski

    aizvorski/scikit-video

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  • cisco/openh264Avatar de cisco

    cisco/openh264

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    OpenH264 is a library for encoding and decoding video using the H.264 standard. It provides tools to transform raw video frames into compressed byte streams and decompress those streams back into raw pixel frames. The project includes a simulcast video stream generator that produces multiple resolutions from a single source. This capability supports adaptive bitrate streaming and real-time video communication across varying network conditions. The system implements video processing workflows including adaptive rate control, slicing-based parallel encoding, and YUV planar buffer management. I

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  • djkovrik/blinktrackerD

    djkovrik/BlinkTracker

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  • abhitronix/vidgearAvatar de abhiTronix

    abhiTronix/vidgear

    3,714Ver en GitHub↗

    VidGear is a high-performance Python video processing framework designed for capturing, transcoding, and manipulating video streams. It functions as a multi-protocol video streamer and a WebRTC streaming server, enabling the transfer of video frames over networks using RTSP, RTMP, RTP, and MJPEG protocols. The project distinguishes itself through hardware-accelerated video transcoding and decoding using GPU backends like CUDA to reduce CPU load. It includes a cross-platform screen capture tool and a specialized system for establishing direct peer-to-peer media connections using WebRTC signali

    Pythondashffmpegframework
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Ver las 13 alternativas a Libuvc→