(We do give your hangers back after choosing the pieces we feel we can sell) Clothing must be “in-season”. # number of seconds before the request times out and is aborted timeout: 15 # minimum required confidence that a recognized face is actually a face # value is between 0.0 and 1.0 det_prob_threshold: 0.Consigned items – Must be clean and on hangers and ready for display/sale before they will be accepted by Double Take. # detector settings (default: shown below) detectors: # apply masks before processing image # masks: # list of x,y coordinates to define the polygon of the zone # coordinates: # - 1920,0,1920,328,1638,305,1646,0 # show the mask on the final saved image (helpful for debugging) # visible: false # size of camera stream used in resizing masks # size: 1920x1080 # override global detect variables per camera # detect: # match: # save match images # save: true # include base64 encoded string in api results and mqtt messages # options: true, false, box # base64: false # minimum confidence needed to consider a result a match # confidence: 60 # minimum area in pixels to consider a result a match # min_area: 10000 # unknown: # save unknown images # save: true # include base64 encoded string in api results and mqtt messages # options: true, false, box # base64: false # minimum confidence needed before classifying a match name as unknown # confidence: 40 # minimum area in pixels to keep an unknown result # min_area: 0 # snapshot: # process any jpeg encoded mqtt topic for facial recognition # topic: # process any http image for facial recognition # url: detectors # camera settings (default: shown below) cameras: # front-door: # attempts: # number of times double take will request a frigate latest.jpg for facial recognition # latest: 5 # number of times double take will request a frigate snapshot.jpg for facial recognition # snapshot: 5 # process frigate images from frigate//person/snapshot topic # mqtt: false # add a delay expressed in seconds between each detection loop # delay: 1 # image: # height of frigate image passed for facial recognition (only if using default latest.jpg and snapshot.jpg) # height: 1000 # custom image that will be used in place of latest.jpg # latest: # custom image that will be used in place of snapshot.jpg # snapshot: cameras # - camera: garage # zone: driveway # override frigate attempts and image per camera events: # - front-door # - garage # only process images from specific zones zones: # height of frigate image passed for facial recognition height: 500 # only process images from specific cameras cameras: # number of times double take will request a frigate latest.jpg for facial recognition latest: 10 # number of times double take will request a frigate snapshot.jpg for facial recognition snapshot: 10 # process frigate images from frigate/+/person/snapshot topics mqtt: true # add a delay expressed in seconds between each detection loop delay: 0 image: # if double take should send matches back to frigate as a sub label # NOTE: requires frigate 0.11.0+ update_sub_labels: false # stop the processing loop if a match is found # if set to false all image attempts will be processed before determining the best match stop_on_match: true # ignore detected areas so small that face recognition would be difficult # quadrupling the min_area of the detector is a good start # does not apply to MQTT events min_area: 0 # object labels that are allowed for facial recognition labels: # frigate settings (default: shown below) frigate: The number of results will also be published to double-take/cameras//person and will reset back to 0 after 30 seconds.Įrrors from the API will be published to double-take/errors. Publish results to double-take/matches/ and double-take/cameras/. condition: template value_template: ' mode: parallel max: 10 MQTT platform: state entity_id: sensor.double_take_unknown condition: platform: state entity_id: sensor.double_take_david
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