mindspore_lite_flutter 1.0.4

Flutter plugin for on-device AI inference using Huawei MindSpore Lite 1.7.0. Image classification on Android ARM64. No internet required.

1.0.4

• Fix: Update repository URL to dedicated repo github.com/Mas-aaron/mindspore_lite_flutter
• This enables pub.dev repository verification for full 160/160 score

1.0.3

• Fix: Repository URL — pub.dev verification now resolves correctly
• New: predictImageWithLabels() — convenience API that applies softmax and maps results to label names automatically
• Improvement: Softmax now built into the Dart API (no need to implement it yourself)

1.0.2

• Fix: Shorten description to meet pub.dev 60-180 character requirement
• Fix: Remove unnecessary dart:typed_data import (lint warning)
• Fix: Simplify repository URL for pub.dev verification

1.0.1

• Fix: Replace placeholder LICENSE with proper MIT license
• Fix: Remove generic TODO from LICENSE file

1.0.0

• Initial public release
• Android ARM64 support via MindSpore Lite 1.7.0 JNI
• initModel — load .ms model from Flutter assets
• predictImage — run inference on image file path
• disposeModel — release native resources
• Supports maize and coffee disease detection models
• Built for AgriChain crop AI platform