hand_detection 2.0.8 copy "hand_detection: ^2.0.8" to clipboard
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Hand, gesture and landmark detection using on-device TFLite models

2.0.8 #

  • Update flutter_litert to 2.0.13

2.0.7 #

  • Update flutter_litert -> 2.0.12

2.0.6 #

  • Update flutter_litert 2.0.10 -> 2.0.11

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.toMap() format changed to corner-based.

  • Use shared Point and BoundingBox from flutter_litert 2.0.0
  • toPixel() now returns full-precision double coordinates (was truncating to int)
  • Remove duplicate NMS implementation, use shared nms() from flutter_litert
  • Refactor isolate worker to use IsolateWorkerBase from flutter_litert
  • Simplify model classes (PalmDetector, HandLandmarkModel, GestureRecognizer)
  • Remove integration tests from unit test suite
  • Remove dead test helpers (test_config.dart)

1.0.3 #

  • Update camera_desktop 1.0.1 -> 1.0.3

1.0.2 #

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

1.0.1 #

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

1.0.0 #

First stable release of hand_detection

Pipeline #

  • Palm detection, SSD model with rotation-aware bounding boxes
  • Hand landmarks, 21-point 3D landmarks with visibility scores
  • Gesture recognition, 7 gestures (fist, open palm, pointing up, thumbs down/up, victory, I love you)
  • Handedness, Left/right classification

Features #

  • Two modes: HandMode.boxes (bounding boxes only) and HandMode.boxesAndLandmarks (full landmarks)
  • HandDetectorIsolate for background-thread inference with zero-copy transfer
  • Direct cv.Mat input for live camera processing
  • XNNPACK hardware acceleration with configurable thread count
  • Configurable confidence thresholds and detection limits

Platforms #

  • iOS, Android, macOS, Windows, Linux

0.0.4 #

  • Update documentation

0.0.3 #

  • Update flutter_litert to 1.0.1, camera to 0.12.0

0.0.2 #

  • Update flutter_litert to 0.2.2

0.0.1 #

  • Initial release