• v0.2.0 Beta Release Pre-Release

    giteasync released this 2019-06-18 08:19:13 -05:00 | 4951 commits to dev since this release

    I marked this a beta because it may break for other people's setups. The new image is available with docker pull blakeblackshear/frigate:0.2.0-beta.

    • Video decoding is now done in an FFMPEG sub process which enables hardware accelerated decoding of video streams. For me, this reduced CPU usage for decoding by 60-70%. (Fixes #21)
    • New take_frame option to reduce framerates with frigate when the camera doesnt support it (Fixes #40)
    • Tweaked the position of the labels to avoid overlapping with detected objects (Fixes #39)
    • Added the area of the object to the label to help determine min_person_area values (thanks @aav7fl)
    • Greatly reduced Docker image size, from ~2GB to 450MB
    • Added support for custom Odroid-XU4 build (unfortunately, I wasn't able to get the Coral performance to be good enough for me with this board)
    • Latest Coral drivers from Google
    • Added a benchmarking script to test inference times
    • Added some comments to better document config options (Fixes #46)
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  • giteasync released this 2019-05-11 07:43:09 -05:00 | 4956 commits to dev since this release

    Features:

    • Implement configurable thresholds per region
    • Add a watchdog to detect silent failures when reading the RTSP stream

    Fixes:

    • Fix missing numpy import for default mask files
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  • giteasync released this 2019-05-01 06:43:32 -05:00 | 4964 commits to dev since this release

    Adds masking support for detecting people. The mask file should be a BMP and the same size as the resolution of your camera stream. If the bottom middle of the bounding box is located on a black pixel, it will ignore it.

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  • giteasync released this 2019-03-30 08:28:36 -05:00 | 4966 commits to dev since this release

    This release adds the following:

    • Google Coral support (required for now)
    • Motion detection was removed because the overhead of always looking for objects is much lower than looking for motion (planning to add motion detection back in the future)
    • Send ON/OFF instead of raw person score to reduce MQTT message frequency
    • Switch to config file instead of environment variables
    • Add support for multiple cameras (Google Coral can only be used by one process)
    • Detection models bundled in container
    Downloads
  • giteasync released this 2019-03-09 13:41:35 -06:00 | 4990 commits to dev since this release

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