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update config example

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Blake Blackshear 2020-01-15 07:28:12 -06:00
parent ebcf1482f8
commit 6ecf87fc60
1 changed files with 24 additions and 22 deletions
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46
config/config.example.yml
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@ -47,16 +47,24 @@ mqtt:
# - rgb24 # - rgb24
#################### ####################
# Global object configuration. Applies to all cameras and regions # Global object configuration. Applies to all cameras
# unless overridden at the camera/region levels. # 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). # 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. # 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: objects:
person: track:
min_area: 5000 - person
max_area: 100000 - car
threshold: 0.5 - truck
filters:
person:
min_area: 5000
max_area: 100000
threshold: 0.5
cameras: cameras:
back: back:
@ -91,18 +99,21 @@ cameras:
################ ################
take_frame: 1 take_frame: 1
################
# Overrides for global object config
################
objects: objects:
person: track:
min_area: 5000 - person
max_area: 100000 filters:
threshold: 0.5 person:
min_area: 5000
max_area: 100000
threshold: 0.5
################ ################
# size: size of the region in pixels # 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) # 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. # 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. # 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. # Defining a region that goes outside the bounds of the image will result in errors.
@ -111,18 +122,9 @@ cameras:
- size: 350 - size: 350
x_offset: 0 x_offset: 0
y_offset: 300 y_offset: 300
objects:
car:
threshold: 0.2
- size: 400 - size: 400
x_offset: 350 x_offset: 350
y_offset: 250 y_offset: 250
objects:
person:
min_area: 2000
- size: 400 - size: 400
x_offset: 750 x_offset: 750
y_offset: 250 y_offset: 250
objects:
person:
min_area: 2000