mediapipe_face_mesh 1.7.1

Real-time MediaPipe face detection and face mesh tracking for Flutter on Android and iOS.

1.7.1

• fix Android build configuration to align with Flutter 3.32.x (Dart 3.8.1) defaults
• set plugin compileSdk to 35 and ndkVersion to 26.3.11579264
• set example minSdk to 24

1.7.0

• add multi-face mesh inference APIs with FaceMeshMultiInferenceResult, processMultiFace, and processNv21MultiFace
• add reusable FaceMeshPainter and FaceDetectionPainter preview overlay painters as package files
• update the examples to use the public overlay painters
• update README docs for multi-face inference

1.6.0

• add FaceMeshInferencePipeline and FaceMeshInferenceResult for one-call unified detector and face mesh inference
• add FaceMeshInferenceStreamProcessor for stream-based unified inference
• update the MediaPipe detector example to use FaceMeshInferencePipeline
• update README usage docs for the unified inference API

1.5.0

• add bundled full-range dense and sparse face detector model support
• add FaceDetectionModel selection to FaceDetectorProcessor.create

1.4.1

• update docs

1.4.0

• add optional iris landmark output through FaceMeshProcessor.create(enableIris: true)

1.3.2

• add stream processing support to FaceDetectorStreamProcessor (process / processNv21)
• update README and example to cover FaceDetectorStreamProcessor stream inference

1.3.1

• lower the Dart SDK constraint to ^3.8.1
• update the example camera adapter to handle multiple Android YUV layouts in Dart

1.3.0

• add FaceDetectorProcessor with bundled MediaPipe short-range face detection model
• support detector-driven ROI flow for face mesh inference and expose FaceDetection / FaceDetectionResult
• refactor example app to include both MediaPipe and ML Kit detection flows
• update README and change license to BSD 3-Clause

1.2.6

• add pub.dev topics and update package description

1.2.5

• rewrite example app: live camera demo using google_mlkit_face_detection + FaceMeshStreamProcessor
• render face mesh as polygon wireframe via result.triangles (MpFaceMeshTriangle)
• clean up README

1.2.4

• add MediaPipe face mesh triangulation topology and expose FaceMeshResult.triangles.
• sanitize the cache filename without RegExp to avoid the deprecation warning.

1.2.3

• update README to cover FaceMeshResult output fields, normalization rules, and ROI behavior
• add toString() overrides for core value classes (rect, box, image, landmark, result)

1.2.2

• add enableRoiTracking option in FaceMeshProcessor.create to control internal ROI tracking between frames

1.2.1

• add enableRoiTracking option in FaceMeshProcessor.create to control internal ROI tracking between frames

1.2.0

• improve README usage guidance and stream/camera documentation
• rename FaceMeshStreamProcessor.processImages to FaceMeshStreamProcessor.process
• adjust default _boxScale from 1.3 to 1.2 in mediapipe_face_mesh.dart

1.1.1

• document official LiteRT build instructions and expected binary locations in README

1.1.0

• replace bundled tensorflow/lite and tensorflow/compiler headers with upstream copies
• add runtime delegate selection (CPU / XNNPACK / GPU V2) and expose the option through the Dart API
• update README to reflect delegate support and document TensorFlow source folders

1.0.3

• run dart format . across the repo
• shorten pubspec.yaml description to satisfy length requirements

1.0.2

• add detailed plugin description and document key public APIs
• enable public_member_api_docs lint
• update README.md
• fix corrupted example/assets/img.png binary

1.0.1

• update docs

1.0.0

• Initial public release of the MediaPipe Face Mesh FFI plugin for Android and iOS