What is the output of the `hand_detector.tflite` file using the hand landmark detection model `hand_landmark.task` locally?

[Criminal-9527]

What is the output of the hand_detector.tflite file using the hand landmark detection model hand_landmark.task locally? I tried to use the get_output_details function to output the model's outputs, and the results are as follows:

input_details:

• index: 0
• name: input_1
• shape: [ 1 192 192 3]
• datatype: <class 'numpy.float32'>

output_details:

• index: 279

• name: Identity

• shape: [ 1 2016 18]

• dtype: <class 'numpy.float32'>

• index: 276

• name: Identity_1

• shape: [ 1 2016 1]

• dtype: <class 'numpy.float32'>

The number 2016, as I understand it, refers to the 2016 SSD anchor boxes within a 192x192 resolution image. The output of 120161 is understood as the score for each anchor box. But what does the output of 1201618 represent? Could it be that the model only selects 2016 pixel points, and the number 18 represents the size information of the anchor boxes of different scales for each pixel point?