web_port: 5000 ################ ## Tell frigate to look for a specific EdgeTPU device. Useful if you want to run multiple instances of frigate ## on the same machine with multiple EdgeTPUs. https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api ################ tensorflow_device: usb 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 ################ # Global configuration for saving clips ################ save_clips: ########### # Maximum length of time to retain video during long events. # If an object is being tracked for longer than this amount of time, the cache # will begin to expire and the resulting clip will be the last x seconds of the event. ########### max_seconds: 300 ################# # 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 object # max_area (optional): maximum width*height of the bounding box for the detected object # min_score (optional): minimum score for the object to initiate tracking # threshold (optional): The minimum decimal percentage for tracked object's computed score to considered a true positive #################### objects: track: - person - car - truck filters: person: min_area: 5000 max_area: 100000 min_score: 0.5 threshold: 0.85 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 ################ ## Specify the framerate of your camera ## ## NOTE: This should only be set in the event ffmpeg is unable to determine your camera's framerate ## on its own and the reported framerate for your camera in frigate is well over what is expected. ################ # fps: 5 ################ ## Optional mask. Must be the same aspect ratio as your video feed. Value is any of the following: ## - name of a file in the config directory ## - base64 encoded image prefixed with 'base64,' eg. 'base64,asfasdfasdf....' ## - polygon of x,y coordinates prefixed with 'poly,' eg. 'poly,0,900,1080,900,1080,1920,0,1920' ## ## 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 number of seconds to retain the highest scoring image for the best.jpg endpoint before allowing it # to be replaced by a newer image. Defaults to 60 seconds. ################ best_image_timeout: 60 ################ # MQTT settings ################ # mqtt: # crop_to_region: True # snapshot_height: 300 ################ # Zones ################ zones: ################# # Name of the zone ################ front_steps: #################### # A list of x,y coordinates to define the polygon of the zone. The top # left corner is 0,0. Can also be a comma separated string of all x,y coordinates combined. # The same zone name can exist across multiple cameras if they have overlapping FOVs. # An object is determined to be in the zone based on whether or not the bottom center # of it's bounding box is within the polygon. The polygon must have at least 3 points. # Coordinates can be generated at https://www.image-map.net/ #################### coordinates: - 545,1077 - 747,939 - 788,805 ################ # Zone level object filters. These are applied in addition to the global and camera filters # and should be more restrictive than the global and camera filters. The global and camera # filters are applied upstream. ################ filters: person: min_area: 5000 max_area: 100000 threshold: 0.8 ################ # This will save a clip for each tracked object by frigate along with a json file that contains # data related to the tracked object. This works by telling ffmpeg to write video segments to /cache # from the video stream without re-encoding. Clips are then created by using ffmpeg to merge segments # without re-encoding. The segments saved are unaltered from what frigate receives to avoid re-encoding. # They do not contain bounding boxes. These are optimized to capture "false_positive" examples for improving frigate. # # NOTE: This feature does not work if you have "-vsync drop" configured in your input params. # This will only work for camera feeds that can be copied into the mp4 container format without # encoding such as h264. It may not work for some types of streams. ################ save_clips: enabled: False ######### # Number of seconds before the event to include in the clips ######### pre_capture: 30 ######### # Objects to save clips for. Defaults to all tracked object types. ######### # objects: # - person ################ # Configuration for the snapshots in the debug view and mqtt ################ snapshots: show_timestamp: True draw_zones: False ################ # Camera level object config. This config is merged with the global config above. ################ objects: track: - person filters: person: min_area: 5000 max_area: 100000 min_score: 0.5 threshold: 0.85