label_map_util.get_label_map_dict() in Python

The label_map_util.get_label_map_dict() is a function in the label_map_util module of TensorFlow Object Detection API, which is used to convert a label map into a dictionary format.

Syntax

The syntax of the label_map_util.get_label_map_dict() function is:

label_map_dict = label_map_util.get_label_map_dict(label_map)

where label_map is the path to the label map file and label_map_dict is the dictionary containing the label map information.

Return Value

The label_map_util.get_label_map_dict() function returns a Python dictionary that contains label information in the format:

{
    1: {'id': 1, 'name': 'label1'},
    2: {'id': 2, 'name': 'label2'},
    ...
    n: {'id': n, 'name': 'labeln'}
}

n represents the number of classes in the label map file and id and name represent the class ID and class name, respectively.

Example Usage

An example usage of the label_map_util.get_label_map_dict() function with a label map file label_map.pbtxt is:

from object_detection.utils import label_map_util

label_map = 'label_map.pbtxt'
label_map_dict = label_map_util.get_label_map_dict(label_map)

print(label_map_dict)

Output:

{1: {'id': 1, 'name': 'label1'}, 2: {'id': 2, 'name': 'label2'}, 3: {'id': 3, 'name': 'label3'}}

Note that this example assumes that there are three labels (ID 1, ID 2, and ID 3) in the label map file, with the names "label1", "label2", and "label3", respectively.

In summary, the label_map_util.get_label_map_dict() function is an important utility function in the TensorFlow Object Detection API for converting a label map file into a dictionary format that can be easily used for object detection tasks.