Instance Segmentation Example for HUSKYLENS 2

HUSKYLENS 2 instance segmentation detects up to 80 object classes, outlines each instance, and lets you read total count, nearest instance, and per-ID data such as name, ID, center coordinates, width, and height. It’s like giving your camera blocks that tell you what each object is and where it sits on screen.

1.Instance Segmentation Blocks

Before You Start:

1.1 Instance Segmentation - Output Relevant Data

Under the Instance Segmentation function, HUSKYLENS can recognize the class of objects in an image and mark the outline of each object. You can use a program to print the total number of instances recognized by HUSKYLENS, the instance closest to the center, and the Name, ID, center X/Y coordinates, Width, and Height of a specified ID instance.

Example Program:

Interface Diagram

Output Result: After the program is successfully uploaded, HUSKYLENS 2 will automatically switch to the Instance Segmentation function. Point HUSKYLENS 2 at the object to be recognized (must be one of the 80 classes) and observe the number of recognized instances, the ID of a specific instance, its center point coordinates, and other data. Instance Segmentation function description: Instance Segmentation.

Interface Diagram

1.2 Get Data for a Specific Instance

Under the Instance Segmentation function, after HUSKYLENS 2 learns, it can acquire data for a specific instance in the frame. For example, it can determine if a learned instance is in the frame, the name of the specified instance, the count of similar instances, and when multiple instances of the same class appear, it can be set to acquire parameters for a specific one, including Name, X/Y coordinates, Width, and Height.

Example Program:

Interface Diagram

Output Result: After the program is successfully uploaded, HUSKYLENS 2 will automatically switch to the Instance Segmentation function. When multiple instances of the same class appear in the frame, it can recognize the count of instances of that class and output the specified instance's ID, center point coordinates, and other related data.

1.3 Instance Segmentation Blocks Description

block	Description
	Acquire tag instance segmentation data once.
	Determine if an instance is present in the current frame.
	Obtain relevant data of the instance nearest to the screen crosshair, including the instancee's ID, name, center X coordinate, center Y coordinate, width, and height.
	Get the total number of instances detected on the screen, including both unregistered and registered instances.
	Obtain the relevant data of a specified instance when multiple instances appear.
	Get the number of instances that have been learned by HuskyLens 2, regardless of whether they appear in the current frame.
	Determine if an instance with the specified ID exists in the frame. Unlearned IDs are uniformly set to 0, and learned IDs are sorted in the order they were learned.
	Get the number of instances with a specified ID.
	Obtain the number of instances with the specified ID in the current frame.
	When multiple instances are detected, retrieve the relevant data of a specified instance.