update config example

This commit is contained in:
Blake Blackshear 2020-01-15 07:28:12 -06:00
parent ebcf1482f8
commit 6ecf87fc60

View File

@ -47,12 +47,20 @@ mqtt:
# - rgb24
####################
# Global object configuration. Applies to all cameras and regions
# unless overridden at the camera/region levels.
# 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
@ -91,7 +99,13 @@ cameras:
################
take_frame: 1
################
# Overrides for global object config
################
objects:
track:
- person
filters:
person:
min_area: 5000
max_area: 100000
@ -100,9 +114,6 @@ cameras:
################
# size: size of the region in pixels
# x_offset/y_offset: position of the upper left corner of your region (top left of image is 0,0)
# min_person_area (optional): minimum width*height of the bounding box for the detected person
# max_person_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
# Tips: All regions are resized to 300x300 before detection because the model is trained on that size.
# Resizing regions takes CPU power. Ideally, all regions should be as close to 300x300 as possible.
# Defining a region that goes outside the bounds of the image will result in errors.
@ -111,18 +122,9 @@ cameras:
- size: 350
x_offset: 0
y_offset: 300
objects:
car:
threshold: 0.2
- size: 400
x_offset: 350
y_offset: 250
objects:
person:
min_area: 2000
- size: 400
x_offset: 750
y_offset: 250
objects:
person:
min_area: 2000