Self-Learning Classifier Example
HUSKYLENS 2 self-learning classifier lets you train custom objects and then read their ID and name via Mind+ blocks, like a camera that remembers faces. It’s like a smart labeler that tags each learned object with an incremental ID and an optional custom name, and then reports whether that object is detected and what its stored name is through the serial port.
1.Self-Learning Classifier Blocks
Before You Start:
1.1 Recognize Learned Object and Output ID & Name
In the self-Learning Classification function, HUSKYLENS 2 can learn any custom object and recognize it after training. For more details, refer to Self-Learning Classifier.
Once an object has been learned, HUSKYLENS 2 can recognize it when it appears again. The following sample program can be used to obtain the ID and name of the recognized object.
Click “Upload” in Mind+ and wait for the upload to complete. Then use the touchscreen to enter the self-Learning Classification function of HUSKYLENS 2.
Result:If a learned object has a custom name, the name output via the serial port matches the name displayed on the HUSKYLENS 2 screen
1.2 Self-Learning Classification Blocks Description
| block | description |
|---|---|
|
Used to obtain one recognition result of a learned object under the Self-Learning function of HUSKYLENS 2. 。 |
|
Determines whether a previously learned object has been detected. |
|
Obtains the related data of a learned object, including its ID and name. IDs start from 1 in learning order. If no custom name is set, the default is “Object.” If customized, the name matches the one shown on the HUSKYLENS 2 screen. |
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