IrisLandmark class
Estimates dense iris keypoints within cropped eye regions and lets callers derive a robust iris center (with fallback if inference fails).
The underlying TFLite model (iris_landmark.tflite) is sourced from Google's MediaPipe
framework. See the official model card for architecture details, training data, and
intended use cases: https://mediapipe.page.link/iris-mc
(local copy: doc/model_cards/iris_landmark_model_card.pdf)
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- inputHeight → int
-
The model input height in pixels.
no setter
- inputWidth → int
-
The model input width in pixels.
no setter
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
call(
Mat eyeCrop, {Float32List? buffer}) → Future< List< List< >double> > - Predicts iris and eye contour landmarks from a cv.Mat eye crop.
-
dispose(
) → void - Releases all TensorFlow Lite resources held by this model.
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Static Methods
-
callWithIsolate(
Uint8List eyeCropBytes, String modelPath) → Future< List< List< >double> > - Runs iris detection in a separate isolate for non-blocking inference.
-
create(
{InterpreterOptions? options, PerformanceConfig? performanceConfig}) → Future< IrisLandmark> - Creates and initializes an iris landmark model instance.
-
createCompiledFromBuffer(
Uint8List modelBytes) → Future< IrisLandmark> - Creates an iris landmark model backed by LiteRT CompiledModel.
-
createFromBuffer(
Uint8List modelBytes, {PerformanceConfig? performanceConfig}) → Future< IrisLandmark> - Creates an iris landmark model from pre-loaded model bytes.
-
createFromFile(
String modelPath, {InterpreterOptions? options, PerformanceConfig? performanceConfig}) → Future< IrisLandmark> - Creates and initializes an iris landmark model from a custom file path.