hand_detection 1.0.2

Hand & landmark detection using on-device TFLite models.

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