The Container number recognition parameters. The Administrator client

Frames per second.

fps

float

5.0

[1, 30]

A certain number of frames per second a video is processed.

A minimum object size.

min_obj_size

float (в пикселях)

50.0

[0, 512]

A minimum size of the object being recognized (in pixels). The size of the object is determined by the length of its diagonal.

A minimum size of undetected objects.

motion_min_scale

float

2.0

[1, 4]

The minimum value at which previously unrecognized objects are searched for.

Time to resume searching for objects.

motion_cooldown

float (in seconds)

1.0

[0, 4]

Time required to resume searching for new objects in the same view area (in seconds).

A low threshold for an object recognition.

weak_obj_score_threshold

float

0.4

[0, 1]

A low threshold to estimate an object recognition. If the value is lower than the threshold value, the objects are discarded and aren’t considered for further recognition.

A minimum threshold value for an object recognition.

strong_obj_score_threshold

float

0.45

[0, 1]

A minimum threshold value for an abject to be recognized.

An area size for re-detection.

glance_expansion

float

3.5

[1, 5]

Defines an area size for re-detection of the tracked objects. Large values may increase tracking of fast-moving objects, but it can also lead to missed object detection due to smaller relative size of objects in the detection area.

An event processing time.

aggregation_time

float

0.5

[0, 10]

The time, measured in seconds, during which the best captured image is selected for object recognition. Larger values of the parameter increase the recognition quality but also increase the time required for an event generation.

Unique characteristics of the objects to generate an event.

lev_distance_threshold

float

1.0

[0, 2]

Defines the degree of uniqueness required between two recognition results to trigger separate recognition events.

A track time of an object.

track_lifetime

float

2.0

[1, 10]

A track time of an object that is measured in seconds and doesn’t include new events.

A similarity threshold of the objects.

tracking_similarity_threshold

float

0.3

[0, 1]

The minimum similarity of objects at which an object can be considered a continuation of the track. Lower values can improve stability, but unrelated objects can be grouped into one track.

Minimum quality value of a frame.

low_det_threshold

float

0.4

[0, 1]

A minimum quality value of a captured object image to be considered suitable for recognition.

A recognized container number persistency time.

recognized_container_persistency

float

10.0

[0, 300]

The time, measured in seconds, during which the persistence of the recognized container number is active and prevents the duplication of events.

An event generation interval for a static object.

recognized_container_report_interval

float

30.0

(0, 600]

The time, measured in seconds, during which a new event ins’t generated for the static container in the frame.

A maximum number of objects under recognition.

tracked_objects_limit

int

32.0

[0, 512]

The maximum number of objects under simultaneous recognition. If the limit is exceeded, only the largest objects are saved.

An anticipated container code.

valid_threshold

float

0.1

[0, 1]

A minimum score of an anticipated container code.

Calculation of a control amount.

check_digit

bool

True

{False, True}

The parameter indicates if an additional condition is applied: calculates a control digit and compares with a predicted one.