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v0.2.0 Beta Release Pre-Release
released this
2019-06-18 08:19:13 -05:00 | 4951 commits to dev since this releaseI 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_frameoption 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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Watchdog and thresholds Stable
released this
2019-05-11 07:43:09 -05:00 | 4956 commits to dev since this releaseFeatures:
- 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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released this
2019-05-01 06:43:32 -05:00 | 4964 commits to dev since this releaseAdds 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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released this
2019-03-30 08:28:36 -05:00 | 4966 commits to dev since this releaseThis 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
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Initial Release Stable
released this
2019-03-09 13:41:35 -06:00 | 4990 commits to dev since this releaseDownloads
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