YOLO class

YOLO (You Only Look Once) is a class that provides machine learning inference capabilities for object detection, segmentation, classification, pose estimation, and oriented bounding box detection.

This class handles the initialization of YOLO models and provides methods to perform inference on images.

Example usage:

final yolo = YOLO(
  modelPath: 'assets/models/yolo11n.tflite',
  task: YOLOTask.detect,
);

await yolo.loadModel();
final results = await yolo.predict(imageBytes);

Constructors

YOLO.new({required String modelPath, required YOLOTask task})

Creates a new YOLO instance with the specified model path and task.

Properties

hashCode → int

The hash code for this object.

no setter, inherited

modelPath → String

Path to the YOLO model file. This can be:

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

task → YOLOTask

The type of task this YOLO model will perform (detection, segmentation, etc.)

final

Methods

loadModel() → Future<bool>

Loads the YOLO model for inference.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

predict(Uint8List imageBytes) → Future<Map<String, dynamic>>

Runs inference on a single image.

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited

Static Methods

checkModelExists(String modelPath) → Future<Map<String, dynamic>>

Checks if a model exists at the specified path.

getStoragePaths() → Future<Map<String, String?>>

Gets the available storage paths for the app.