pose_detection 3.0.2

Pose, person and landmark detection using on-device TFLite models.

3.0.2

• Update flutter_litert -> 2.5.0

3.0.1

• Update flutter_litert -> 2.4.1

3.0.0

Breaking:

• PoseDetector configuration moves from the constructor to initialize(). PoseDetector({mode: ..., landmarkModel: ..., ...}) → PoseDetector() + await detector.initialize(mode: ..., landmarkModel: ..., ...). Matches FaceDetector's shape. PoseDetector.create({...}) continues to accept the same named params unchanged.

• PoseDetector.detectFromMat signature changed. detectFromMat(cv.Mat, {required int imageWidth, required int imageHeight}) is now detectFromMat(cv.Mat). Dimensions are read from the Mat directly. Existing callers must drop the imageWidth and imageHeight named arguments.

• detect(...) no longer swallows exceptions. Undecodable image bytes now propagate as an error (matching FaceDetector and HandDetector behaviour) rather than silently returning an empty list. Wrap detect(...) in a try/catch if your callsite depended on the previous silent-failure behaviour. On web, decode failure still returns an empty list because browser HTMLImageElement decode does not throw.

• All inference now runs in a dedicated background isolate, keeping the UI thread free. Previously, inference ran on the calling thread.

• Add PoseDetector.create({...}) one-step factory (mirrors FaceDetector.create and HandDetector.create).

• Add detectFromFilepath(String path): reads the file and delegates to detect.

• Add detectFromMatBytes(Uint8List, {required int width, required int height, int matType}) zero-copy fast path via TransferableTypedData.

• Add initializeFromBuffers({required Uint8List yoloBytes, required Uint8List landmarkBytes}) for callers that load model bytes independently of Flutter's asset system.

• Add isReady getter as an alias for isInitialized.

• Add a top-level Live Camera Detection section to the README, modelled on face_detection_tflite's packYuv420 + native cv.cvtColor pattern, and remove the orphan assets/models/pose_detection.tflite left over from the pre-YOLOv8n scaffold.

• Expand flutter_litert re-exports through the pose_detection barrel to match face_detection_tflite: tensor helpers (createNHWCTensor4D, fillNHWC4D, allocTensorShape, flattenDynamicTensor), math helpers (sigmoid, sigmoidClipped, clamp01, clip), letterbox helpers (computeLetterboxParams, LetterboxParams), BGR→RGB byte helpers (bgrBytesToRgbFloat32, bgrBytesToSignedFloat32), and PerformanceMode. Consumers no longer need a direct flutter_litert import for these.

2.1.1

• Add public PoseDetector.modelVersion and PoseDetector.modelVersionFor(...) APIs for downstream cache invalidation.

2.1.0

• Fix live camera in the example app on Android (previously detections were sideways and unreliable):
  • Apply rotation to raw landscape camera frames before detection so the pose detector sees upright people. _rotationFlagForFrame handles all four device orientations (portrait up/down, landscape left/right) via a combined sensorOrientation + DeviceOrientation formula.
  • Mirror the overlay on Android front camera to match CameraPreview's auto-mirrored preview texture.
  • Replace the per-pixel Dart YUV loop with flutter_litert's shared packYuv420 helper + native cv.cvtColor on mobile (iOS NV12, Android NV21 / I420).
  • Replace the per-pixel Dart BGRA→BGR / RGBA→BGR loop with native cv.cvtColor on desktop (macOS / Linux).
• Align example app live-camera layout with face_detection_tflite: Material+Row top bar (replaces AppBar), flip-camera button, FPS + detection-time display, rotating top bar in landscape with safe-area padding, and a settings popup housing pose-specific controls (landmark-model chips: Lite / Full / Heavy).
• Re-export packYuv420, YuvPlane, YuvLayout, and PackedYuv from flutter_litert through the pose_detection barrel.
• Update flutter_litert to ^2.2.0.

2.0.10

• Update flutter_litert -> 2.1.0

2.0.9

• Update flutter_litert to 2.0.13

2.0.8

• Update flutter_litert -> 2.0.12

2.0.7

• Update flutter_litert 2.0.10 -> 2.0.11

2.0.6

• Fixed Metal GPU delegate producing inconsistent detection counts on iOS

2.0.5

• Update documentation

2.0.4

• Update flutter_litert 2.0.8 -> 2.0.10

2.0.3

• Enable auto hardware acceleration by default (XNNPACK on all native platforms, Metal GPU on iOS)
• Update flutter_litert 2.0.6 -> 2.0.8

2.0.2

• Update flutter_litert 2.0.5 -> 2.0.6

2.0.1

• Fix Xcode build warnings by declaring PrivacyInfo.xcprivacy as a resource bundle in iOS and macOS podspecs

2.0.0

Breaking: Point now uses double coordinates. BoundingBox is now a 4-corner Point-based type.

• Use shared Point and BoundingBox from flutter_litert 2.0.0
• toPixel() now returns full-precision double coordinates (was truncating to int)
• Extract PersonDetectorBase shared between native and web detectors
• Simplify model classes and detector implementations
• Remove integration tests from unit test suite
• Remove dead test helpers (test_config.dart)

1.0.7

• Update camera_desktop 1.0.1 -> 1.0.3

1.0.6

• Update flutter_litert -> 1.2.0
• Refactor to use flutter_litert shared utilities (InterpreterFactory, InterpreterPool, PerformanceConfig)

1.0.5

• Update opencv_dart 2.1.0 -> 2.2.1
• Update flutter_litert 1.0.2 -> 1.0.3

1.0.4

• Update flutter_litert 1.0.1 -> 1.0.2

1.0.3

• Update documentation

1.0.2

• Update flutter_litert to 1.0.1, camera to 0.12.0

1.0.1

• Update flutter_litert to 0.2.2

1.0.0

• Initial release
• Person detection using YOLOv8
• Pose landmark detection with MediaPipe Pose
• Support for lite, full, and heavy models
• Box-only and full landmark detection modes