Showing 4 open source projects for "deep face live"

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  • 1
    SysGauge

    SysGauge

    Comprehensive system monitor: real‑time performance, network, disk

    SysGauge is a powerful system monitoring and performance analysis tool for Windows that delivers deep insights into your computer’s operation. It provides real‑time visualization of key metrics across multiple domains: CPU and memory usage, disk I/O, network traffic, and active processes. The application features a customizable dashboard with live graphs, gauges, and tables, letting you track trends and spot bottlenecks at a glance.
    Downloads: 0 This Week
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  • 2
    jNetPcap - A Libpcap Java Binding

    jNetPcap - A Libpcap Java Binding

    A java PCAP and DPI library

    A java wrapper for popular "libpcap" and "WinPcap" libraries. Accurate full API translation. Packet buffers delivered with no copies. Send custom packets, gather statistics. Comprehensive and easily extensible DPI engine.
    Downloads: 20 This Week
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  • 3
    Age and Gender Estimation

    Age and Gender Estimation

    Keras implementation of a CNN network for age and gender estimation

    ...We pose the age regression problem as a deep classification problem followed by a softmax expected value refinement and show improvements over direct regression training of CNNs. Our proposed method, Deep EXpectation (DEX) of apparent age, first detects the face in the test image and then extracts the CNN predictions from an ensemble of 20 networks on the cropped face.
    Downloads: 3 This Week
    Last Update:
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  • 4

    FastoCloud PRO

    IPTV/NVR/CCTV/Video cloud https://fastocloud.com

    IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:
    Downloads: 0 This Week
    Last Update:
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