face_detection_tflite 2.1.0

face_detection_tflite: ^2.1.0 copied to clipboard

• New IrisPair class

• Add Dartdocs for AlignedFace, AlignedRoi, DecodedBox, DecodedRgb
• Minor clarifications to existing getDetectionsWithIrisCenters and RectF Dartdocs
• Improved examples in README

• Swift Package Manager support

• Update tflite_flutter_custom to 1.0.3, equivalent to tflite_flutter 0.12.1.
• Improved dartdocs

This version contains breaking changes.

• detectFaces now returns List
• Public types renamed/privatized (FaceIndex is now FaceLandmarkType, RectF/Detection/ AlignedFace/AlignedRoi now internal).
• Landmark maps now keyed by FaceLandmarkType
• Full dartdoc coverage

• Update tflite_flutter_custom to 1.0.1, equivalent to tflite_flutter 0.12.0.
• Unit tests
• Performance optimization(s) by enabling parallel inferences in images with multiple faces

• Three detection modes: fast, standard & full. Enables faster inferences when the full detection set is not needed.

• Improved error handling
• Added samples, improved documentation
• Improved example (see example tab on pub.dev)

• Provide end-user with pre-normalized, image-space coords.
• Improved readme/documentation & public API as a whole,
• Removed obsolete methods, change Offset objects to Point.

• Fix bug where IrisLandmark inferences would fail in an Isolate

• Moved heavy operations to Isolates to avoid UI clank/lag

• Refresh iOS/Android example project files to avoid stale tool warnings.

• Tweak analysis/lints config to match latest Flutter stable.

• Minor bug fixes & improvements
• Clarifications in the README

• Add iOS and Android via dartPluginClass
• Keep native plugin on desktop (macOS/Windows/Linux) so CMake still bundles TFLite C libs.
• Note: iOS release builds may require Xcode “Strip Style = Non-Global Symbols”; test on device (not simulator).
• Note: Android requires minSdk 26 (handled by the app).

• Initial public release of face_detection_tflite.
• Includes TFLite face detection + landmarks models and platform shims.
• Adds prebuilt libtensorflowlite_c for macOS/Windows/Linux.