flutter_vision 3.0.1

YOLO object detection and instance segmentation for Flutter on Android and iOS (YOLOv5 to YOLO26), powered by LiteRT with CPU, GPU and NPU acceleration.

3.0.1

• Shorter package description (pub.dev requires 60 to 180 characters).

3.0.0

Complete rewrite. See MIGRATION.md to upgrade from 2.x.

• iOS support (iOS 15+, Swift Package Manager), with the same results as Android.
• New API: YoloModel.load, detectImage, detectFrame, dispose, typed Detection results (Rect box, label, confidence, polygon) and BoxMapper to draw results on screen.
• Several models can be loaded at the same time.
• The model format is detected from the model itself: YOLOv5/v7, v8, v9, v11, v12 and NMS-free YOLOv10 / YOLO26. modelVersion is gone.
• LiteRT 2.3 (CompiledModel API) with CPU, GPU and NPU acceleration and automatic fallback to CPU.
• Correct camera frames on every device: row padding and pixel strides, NV21, YUV420 and BGRA, and a per-frame rotation.
• detectImage applies the EXIF orientation and decodes large photos at the size the model needs (no more out-of-memory errors).
• Letterbox resizing (like Ultralytics) instead of stretching, class-aware NMS and correct boxes for non-square models.
• Segmentation outlines are traced in Dart: OpenCV was removed, the native libraries are 16 KB page aligned (Android 15+) and apps are tens of MB smaller.
• Models with int8 inputs/outputs and NCHW inputs are supported.
• No more crashes when a model is closed or replaced during a detection, and no more native memory leaks.
• The plugin no longer adds camera or storage permissions to your app.
• The pub.dev package is about 120 KB: the example models stay on GitHub.
• Requires Flutter 3.41+, Android minSdk 24, iOS 15. On iOS the simulator needs an Apple Silicon Mac (LiteRT ships arm64 only); see the README for the EXCLUDED_ARCHS setting needed by flutter build ios --simulator.
• Fixes reported issues: 16 KB page size (#58), app size (#27, #40), live detection not working on some phones (#34, #36, #37), segmentation crash with empty masks (#39), several models at once (#43), portrait photos (#41), NCHW inputs (#37) and iOS support (#8). Asset loading errors now say what to check (#44, #51). uint8-input models (#42) are still not supported.
• Tested with Flutter 3.47.8: unit tests, and integration tests on an Android 16 emulator and on an iOS simulator (Xcode 26.6).

2.0.0

• BREAKING CHANGE: Removed all Tesseract OCR functionality.
• Added support for YOLOv11 (YOLO11).
• Improved tensor shape handling for better model compatibility.
• Enhanced memory management and resource cleanup.
• Better error handling and thread safety.
• Updated to support Gradle 8.x and Dart 3.6.0+.
• Performance optimizations across all models.
• Now support orientation and isAsset parameters

1.1.4

• Resolved the YoloV8 output bug and made updates to the latest version. Please find the latest release on the Ultralytics YOLOv8 0.181 GitHub repository.

1.1.3

• Release of segmentation feature via YOLOv8.
• Updated example code.
• Updated README.

1.1.2

• GPU delegation error has been fixed.
• Coordinate representation of the box in documentation was fixed.
• Switching between models now are supported.
• Added quantization option for more efficient models at the cost of some precision.

1.1.1

• Bounding box error has been fixed.
• Confidence scores for Yolov8 has been fixed.

1.1.0

• loadOcrModel, ocrOnFrame, and closeOcrModel have been removed. Instead, Yolo and Tesseract operate independently of each other.
• Models no longer returns responseHandler as output. Instead, it returns a List<Map<String, dynamic>>.
• The Tesseract model has been updated to version 5.0.0, resulting in improved accuracy.
• New methods have been added: loadYoloModel, yoloOnFrame, yoloOnImage, closeYoloModel, loadTesseractModel, tesseractOnImage, and closeTesseractModel.
• Support is now available for both Yolov5 and Yolov8.
• Resource management has been improved, and all models now operate in the background.

1.0.0

• Methods for Yolov5 now is available (loadYoloModel, yoloOnFrame, closeYoloModel).
• Yolov5 and OCR model now is independent one to each other.

0.0.2

• best parameter has been removed.

0.0.1

• Initial release.