vision_flow 0.0.2

A Flutter plugin for real-time vision tasks

Changelog

0.0.1

• complete architectural overhaul and renaming from signify_vision to VisionFlow.
• added VisionFlow.loadModel() to select your model file and backend dynamically.
• added 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.

0.0.2

• updated example/ folder.
• updated Documentation.
• updated LICENSE file.