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v3.0.0
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
Detectionresults (Rectbox, label, confidence, polygon) and
BoxMapperto 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.modelVersionis gone. - LiteRT 2.3 (
CompiledModelAPI) 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. detectImageapplies 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
theEXCLUDED_ARCHSsetting needed byflutter 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).
Install: flutter_vision: ^3.0.0 — https://pub.dev/packages/flutter_vision