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djkovrik/BlinkTracker

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BlinkTracker

Features

  • Video Processing - Tracks and displays eye blinks on mobile devices.

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Frequently asked questions

What are the main features of djkovrik/blinktracker?

The main features of djkovrik/blinktracker are: Video Processing.

What are some open-source alternatives to djkovrik/blinktracker?

Open-source alternatives to djkovrik/blinktracker include: 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… dpethes/fevh264 — fevh264. h4tr3d/avcpp — C++ wrapper for FFmpeg. laex/delphi-opencv — A comprehensive port of the OpenCV (Open Source Computer Vision Library) v2.4.13 to Delphi and FreePascal (FPC). This… abhitronix/vidgear — VidGear is a high-performance Python video processing framework designed for capturing, transcoding, and manipulating…

Open-source alternatives to BlinkTracker

Similar open-source projects, ranked by how many features they share with BlinkTracker.
  • aizvorski/scikit-videoaizvorski avatar

    aizvorski/scikit-video

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    Video processing routines for SciPy

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  • cisco/openh264cisco avatar

    cisco/openh264

    6,079View on GitHub↗

    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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    View on GitHub↗6,079
  • dpethes/fevh264D

    dpethes/fevh264

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    fevh264

    View on GitHub↗0
  • abhitronix/vidgearabhiTronix avatar

    abhiTronix/vidgear

    3,714View on 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
    View on GitHub↗3,714
See all 13 alternatives to BlinkTracker→