web_port: 5000 mqtt: host: mqtt.server.com topic_prefix: frigate # client_id: frigate # Optional -- set to override default client id of 'frigate' if running multiple instances # user: username # Optional ################# ## Environment variables that begin with 'FRIGATE_' may be referenced in {}. ## password: '{FRIGATE_MQTT_PASSWORD}' ################# # password: password # Optional ################# # Default ffmpeg args. Optional and can be overwritten per camera. # Should work with most RTSP cameras that send h264 video # Built from the properties below with: # "ffmpeg" + global_args + input_args + "-i" + input + output_args ################# # ffmpeg: # global_args: # - -hide_banner # - -loglevel # - panic # hwaccel_args: [] # input_args: # - -avoid_negative_ts # - make_zero # - -fflags # - nobuffer # - -flags # - low_delay # - -strict # - experimental # - -fflags # - +genpts+discardcorrupt # - -vsync # - drop # - -rtsp_transport # - tcp # - -stimeout # - '5000000' # - -use_wallclock_as_timestamps # - '1' # output_args: # - -f # - rawvideo # - -pix_fmt # - rgb24 #################### # Global object configuration. Applies to all cameras # unless overridden at the camera levels. # Keys must be valid labels. By default, the model uses coco (https://dl.google.com/coral/canned_models/coco_labels.txt). # All labels from the model are reported over MQTT. These values are used to filter out false positives. # min_area (optional): minimum width*height of the bounding box for the detected person # max_area (optional): maximum width*height of the bounding box for the detected person # threshold (optional): The minimum decimal percentage (50% hit = 0.5) for the confidence from tensorflow #################### objects: track: - person - car - truck filters: person: min_area: 5000 max_area: 100000 threshold: 0.5 cameras: back: ffmpeg: ################ # Source passed to ffmpeg after the -i parameter. Supports anything compatible with OpenCV and FFmpeg. # Environment variables that begin with 'FRIGATE_' may be referenced in {} ################ input: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2 ################# # These values will override default values for just this camera ################# # global_args: [] # hwaccel_args: [] # input_args: [] # output_args: [] ################ ## Optionally specify the resolution of the video feed. Frigate will try to auto detect if not specified ################ # height: 1280 # width: 720 ################ ## Optional mask. Must be the same aspect ratio as your video feed. ## ## The mask works by looking at the bottom center of the bounding box for the detected ## person in the image. If that pixel in the mask is a black pixel, it ignores it as a ## false positive. In my mask, the grass and driveway visible from my backdoor camera ## are white. The garage doors, sky, and trees (anywhere it would be impossible for a ## person to stand) are black. ## ## Masked areas are also ignored for motion detection. ################ # mask: back-mask.bmp ################ # Allows you to limit the framerate within frigate for cameras that do not support # custom framerates. A value of 1 tells frigate to look at every frame, 2 every 2nd frame, # 3 every 3rd frame, etc. ################ take_frame: 1 ################ # The expected framerate for the camera. Frigate will try and ensure it maintains this framerate # by dropping frames as necessary. Setting this lower than the actual framerate will allow frigate # to process every frame at the expense of realtime processing. ################ fps: 5 ################ # Configuration for the snapshots in the debug view and mqtt ################ snapshots: show_timestamp: True ################ # Camera level object config. This config is merged with the global config above. ################ objects: track: - person filters: person: min_area: 5000 max_area: 100000 threshold: 0.5