object_detection 0.3.0

On-device object detection using MediaPipe EfficientDet-Lite models in LiteRT (formerly TensorFlow Lite) format. 80 COCO classes, fully offline.

0.3.0

• Fix confidence decoding for both bundled EfficientDet-Lite variants. Their class tensors are already produced by a TFLite LOGISTIC op; scores and thresholds are now used directly instead of applying sigmoid a second time. This removes widespread false positives and restores calibrated confidence values.
• Bump ObjectDetector.modelVersion because postprocessing output changes for the same input bytes.
• Add real-model regressions for Lite0 and Lite2 blank/uniform inputs.
• Breaking: trim the flutter_litert convenience re-export surface. Removed 16 symbols that this package never used and never documented: createNHWCTensor4D, fillNHWC4D, allocTensorShape, flattenDynamicTensor, sigmoid, sigmoidClipped, bgrBytesToRgbFloat32, packYuv420, YuvPlane, YuvLayout, PackedYuv, CameraPlane, coverFitScaleOffset, drawLandmarkMarker, drawSkeletonConnections, drawBoundingBoxOutline. If you relied on any of these, import them directly from package:flutter_litert/flutter_litert.dart.
• Deprecate OutputTensorInfo, collectOutputTensorInfo and testCollectOutputTensorInfo. They are byte-identical to copies in face_detection_tflite and are not called anywhere in this package outside their own test hook; flutter_litert 3.6.0 provides collectOutputShapes, which returns shapes without materializing tensor buffers. Deprecated rather than removed, since they are public via part.
• Update flutter_litert -> 3.6.0.
• Expand the README live camera section with the full production pipeline (frame throttling, orientation handling, cover-fit overlay mapping).

0.2.3

• Update flutter_litert -> 3.5.0

0.2.2

• Update flutter_litert -> 3.4.1 (web CompiledModel WebGPU compile watchdog: a compile attempt that never settles now falls back to WASM instead of hanging). No API change.

0.2.1

• Update flutter_litert -> 3.3.1

0.2.0

• Update flutter_litert -> 3.2.0
• Import native-only flutter_litert APIs via package:flutter_litert/native.dart so they resolve under static analysis (flutter_litert 3.2.0 moved InterpreterFactory, IsolateWorkerBase, and TensorFloat32Views behind the native conditional export). No runtime or API change.

0.1.2

• Update flutter_litert -> 3.1.1

0.1.1

• Update flutter_litert -> 2.8.3

0.1.0

• Update flutter_litert -> 2.8.0
• Complete Swift Package Manager migration: example apps build via SPM without CocoaPods

0.0.8

• Remove unused Darwin podspecs for Dart-only iOS/macOS plugin registration.

0.0.7

• Update flutter_litert -> 2.5.8

0.0.6

• Update flutter_litert -> 2.5.5

0.0.5

• Update flutter_litert to 2.5.3

0.0.4

• Update flutter_litert -> 2.5.2

0.0.3

• Update flutter_litert -> 2.5.0

0.0.2

• Update flutter_litert -> 2.4.1

0.0.1 - 2026-04-27

• Initial release.
• On-device object detection over 80 COCO classes.
• Two model variants: EfficientDet-Lite0 (default, 320×320) and EfficientDet-Lite2 (448×448).
• Per-call options: scoreThreshold, maxResults, categoryAllowlist, categoryDenylist.
• Background isolate for inference; UI thread is never blocked.
• Image input variants: encoded bytes, file path, cv.Mat, raw pixel bytes, CameraImage, CameraFrame.
• Hardware-accelerated by default: Metal on iOS, XNNPACK elsewhere.
• Cross-platform: Android, iOS, macOS, Windows, Linux.