pose_detection 2.0.2 copy "pose_detection: ^2.0.2" to clipboard
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Pose, person and landmark detection using on-device TFLite models.

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