0.2.1 Release

• Push best person images over MQTT for more realtime updates in homeassistant
• Attempt to gracefully terminate the ffmpeg process before killing
• Tweak the default input params to discard corrupt frames and ignore timestamps in the video feed
• Increase the watchdog timeout to 10 seconds
• Allow ffmpeg_input_args, ffmpeg_output_args, and ffmpeg_log_level to be passed in the config for customization

0.2.0 Release

• 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)

v0.2.0 Beta 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)

Watchdog and thresholds

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

0.1.1 - Add masking for person detection

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.

0.1.0 - Google Coral, Multiple Cameras, etc

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

Initial Release

v0.0.1

add support for mqtt user/pass. closes #7