Self-Learning Classifier Example

1.Self-Learning Classifier Blocks

Before You Start:

• Overview And Setup
• Self-Learning Classifier Function Guide

1.1 Recognize Learned Objects and Output ID/Name

Under the self-learning classification function, after an object has been learned, HUSKYLENS 2 can recognize it when it sees it again. The following example program can be used to get the corresponding ID and name of the recognized learned object.

from unihiker import GUI
from pinpong.board import Board
from dfrobot_huskylensv2 import *


u_gui=GUI()
Board().begin()
huskylens = HuskylensV2_I2C()
huskylens.knock()
huskylens.switchAlgorithm(ALGORITHM_SELF_LEARNING_CLASSIFICATION)
line1=u_gui.draw_text(text="",x=0,y=0,font_size=16, color="#0000FF")
line2=u_gui.draw_text(text="",x=0,y=40,font_size=16, color="#0000FF")
while True:
    huskylens.getResult(ALGORITHM_SELF_LEARNING_CLASSIFICATION)
    if (huskylens.available(ALGORITHM_SELF_LEARNING_CLASSIFICATION)):
        line1.config(text=(str("Object ID:") + str((huskylens.getCachedCenterResult(ALGORITHM_SELF_LEARNING_CLASSIFICATION).ID if huskylens.getCachedCenterResult(ALGORITHM_SELF_LEARNING_CLASSIFICATION) else -1))))
        line2.config(text=(str("Object name:") + str((huskylens.getCachedCenterResult(ALGORITHM_SELF_LEARNING_CLASSIFICATION).name if huskylens.getCachedCenterResult(ALGORITHM_SELF_LEARNING_CLASSIFICATION) else -1))))

Click 'Run' in Mind+ and wait for the program to upload.

After HUSKYLENS 2 finishes learning the object, point the HUSKYLENS 2 camera at the learned object and observe the output results. For detailed instructions on how to learn objects, refer to: Self-Learning Classifier.

Output Result:As shown below, when a learned object appears in the frame, it will be framed, and its name, ID, and confidence level will be displayed. If the object's name has not been set, the default output name is: Object. For how to set the name, please see Self-Learning Classifier.