Hi,
I just install Frigate and succeed to add my Woox Camera on it.
I need help to add some track objects (cat, dog, person) and bounding box.
Here is my actual conf :
## Connection à MQTT ##
mqtt:
enabled: false
#cameras:
# dummy_camera: # <--- this will be changed to your actual camera later
# enabled: False
# ffmpeg:
# inputs:
# - path: rtsp://127.0.0.1:554/rtsp
# roles:
# - detect
# /config/frigate.yaml
## Choix des caméras ##
go2rtc:
streams:
r4252_smart_outdoor_camera:
- echo:bash /config/custom_components/expose_camera_stream_source/get_stream.sh
camera.r4252_smart_outdoor_camera
## Liste des caméras avec leurs adresses de connection ##
cameras:
r4252_smart_outdoor_camera:
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/r4252_smart_outdoor_camera?video
input_args: preset-rtsp-restream-low-latency
roles:
- detect
# motion: ## Création des zones à ignorer ##
# mask:
# - 0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432
## Choix des options de détection et d'enregistrement ##
motion:
mask:
- 262,0,259,36,32,38,31,0
record:
enabled: true
retain:
days: 7
mode: motion
events:
retain:
default: 30
# mode: motion ## Conserve les vidéos avec mouvements seulement ##
mode: active_objects ## Conserve les vidéos avec détection d'objets ##
objects:
dog: 2 ## Durée de conservation par objets ##
cat: 2
person: 7
#detect:
# stationary:
# Optional: Frequency for confirming stationary objects (default: same as threshold)
# When set to 1, object detection will run to confirm the object still exists on every frame.
# If set to 10, object detection will run to confirm the object still exists on every 10th frame.
# interval: 50
# Optional: Number of frames without a position change for an object to be considered stationary (default: 10x the frame rate or 10s)
# threshold: 50
# Optional: Define a maximum number of frames for tracking a stationary object (default: not set, track forever)
# This can help with false positives for objects that should only be stationary for a limited amount of time.
# It can also be used to disable stationary object tracking. For example, you may want to set a value for person, but leave
# car at the default.
# WARNING: Setting these values overrides default behavior and disables stationary object tracking.
# There are very few situations where you would want it disabled. It is NOT recommended to
# copy these values from the example config into your config unless you know they are needed.
# Optional: Object configuration
# NOTE: Can be overridden at the camera level
objects:
# Optional: list of objects to track from labelmap.txt (default: shown below)
track:
- person
- dog
- cat
# Optional: mask to prevent all object types from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object.
# NOTE: This mask is COMBINED with the object type specific mask below
# mask: 0,0,1000,0,1000,200,0,200
# Optional: filters to reduce false positives for specific object types
# filters:
# person:
# Optional: minimum width*height of the bounding box for the detected object (default: 0)
# min_area: 5000
# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
# max_area: 100000
# Optional: minimum width/height of the bounding box for the detected object (default: 0)
# min_ratio: 0.5
# Optional: maximum width/height of the bounding box for the detected object (default: 24000000)
# max_ratio: 2.0
# Optional: minimum score for the object to initiate tracking (default: shown below)
# min_score: 0.5
# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
# threshold: 0.7
# Optional: mask to prevent this object type from being detected in certain areas (default: no mask)
# Checks based on the bottom center of the bounding box of the object
# mask: 0,0,1000,0,1000,200,0,200
snapshots:
enabled: true
But the camera not detect well dog and person, sometimes dog are marked as person, and camera not always detect objects as we can see on history events
The first picture mark dog as person.
And between 9am and 12 noon I make more than 0 move in front of the camera.
Thanks.
