OBJECT_DETECTION_MODEL Class Reference

Lists available models for the object detection module. More...

Static Functions
def	from_string (str, name)
	Converts a string to the corresponding OBJECT_DETECTION_MODEL enum value. More...

Detailed Description

Lists available models for the object detection module.

Enumerator
MULTI_CLASS_BOX_FAST	Any objects, bounding box based.
MULTI_CLASS_BOX_ACCURATE	Any objects, bounding box based, more accurate but slower than the base model.
MULTI_CLASS_BOX_MEDIUM	Any objects, bounding box based, compromise between accuracy and speed.
PERSON_HEAD_BOX_FAST	Bounding box detector specialized in person heads particularly well suited for crowded environments. The person localization is also improved.
PERSON_HEAD_BOX_ACCURATE	Bounding box detector specialized in person heads, particularly well suited for crowded environments. The person localization is also improved, more accurate but slower than the base model.
CUSTOM_BOX_OBJECTS	For external inference, using your own custom model and/or frameworks. This mode disables the internal inference engine, the 2D bounding box detection must be provided.

Functions

from_string()

def from_string (   str,   name  )

static

Converts a string to the corresponding OBJECT_DETECTION_MODEL enum value.

Parameters

name	: The string representation of the OBJECT_DETECTION_MODEL enum value.

Returns

The corresponding OBJECT_DETECTION_MODEL enum value. If the string does not match any OBJECT_DETECTION_MODEL, OBJECT_DETECTION_MODEL.LAST is returned.