Self-Learning Classifier Example
HUSKYLENS 2 self-learning classifier lets you scan, label, and re-detect objects with IDs and names, like teaching a camera flashcards. After uploading the example program and training an object, the module frames it on screen, outputs name, ID, and confidence, and uses blocks to check if a specific object is seen and to read its stored data, using fixed model IDs independent of learning order.
1. Self-Learning Classifier Code Example
Before You Start:
1.1 Recognizing Learned Objects and Outputting ID and Name
Under the Self-Learning Classifier function, once an object has been learned, HUSKYLENS 2 can recognize it again when it reappears. The following example program can be used to obtain the ID and name of the recognized learned object.
Upload the program and wait for the upload to complete.
After HUSKYLENS 2 finishes learning the object, point the Camera of HUSKYLENS 2 at the learned object and observe the output results. For detailed instructions on how to learn objects, please refer to the Self-Learning Classifier.
Running Result: As shown below, when a previously learned object appears in the frame, it will be framed and its name, ID, and confidence level will be displayed. If the object name has not been set, the default output name is "Object".
1.2 Self-Learning Classifier Blocks Description
| block | Description |
|---|---|
|
Under the HUSKYLENS 2 Object Classification function, used to acquire the recognition result of a learned object from one scan. |
|
Judges if a specific learned object has been detected. |
|
Gets data for a specific learned object, including ID and Name. The IDs in Object Classification are pre-assigned in the model, so the user's learning order is not related to the object ID. |
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