vision_flow 0.0.1

A Flutter plugin for real-time vision tasks

0.0.1

• Initial release of VisionFlow Plugin.
• Complete architectural overhaul and renaming from signify_vision to VisionFlow.
• New APIs:
  • VisionFlow.loadModel() to select your model file and backend dynamically.
  • VisionFlow.configure() to choose hands, face, pose, and sequenceLength dynamically.
• Modular Backend Architecture: Added generic ModelRunner interface supporting both PyTorchRunner and TFLiteRunner.
• Feature Extraction Pipeline: Modified MediaPipe Hand/Face integration to output specifically 330 coordinates per frame matching the WLASL notebook model format.
• Sequence Normalization: Built-in sequence normalization across sequenceLength buffers directly in FrameBuffer, correctly centering landmarks on the nose relative point per sequence.
• Flutter Event Streams: Changed predictions API to return a formatted PredictionResult with classification index.