chore(deps): Bump the pub-minor-and-patch group with 5 updates

[dependabot]

Bumps the pub-minor-and-patch group with 5 updates:

Package	From	To
audioplayers	6.8.0	6.8.1
package_info_plus	10.1.0	10.2.0
share_plus	13.1.0	13.2.0
sqlite3	3.3.3	3.3.4
ultralytics_yolo	0.6.5	0.6.6

Updates audioplayers from 6.8.0 to 6.8.1

Changelog

Sourced from audioplayers's changelog.

audioplayers - v6.8.1

• FIX: Avoid throwing a StateError in AudioPlayer._completePrepared (#2010). (d8a4f395)
• FIX(windows): Compatibility with Visual Studio 18 (2026) (#2011). (ae5f4b96)
  Pay attention to the new Windows platform requirements.

audioplayers_windows - v4.4.1

• FIX(windows): Compatibility with Visual Studio 18 (2026) (#2011). (ae5f4b96)
  Pay attention to the new Windows platform requirements.

2026-06-22

Changes

---

Packages with breaking changes:

• There are no breaking changes in this release.

Packages with other changes:

• audioplayers - v6.8.0
• audioplayers_android - v5.3.0
• audioplayers_android_exo - v0.1.4
• audioplayers_darwin - v6.5.0
• audioplayers_linux - v4.3.0
• audioplayers_platform_interface - v7.2.0
• audioplayers_web - v5.3.0
• audioplayers_windows - v4.4.0

---

Commits

• 494fdb6 chore(release): Publish packages (#2012)
• d8a4f39 fix: Avoid throwing a StateError in AudioPlayer._completePrepared (#2010)
• ae5f4b9 fix(windows): Compatibility with Visual Studio 18 (2026) (#2011)
• See full diff in compare view

Updates package_info_plus from 10.1.0 to 10.2.0

Commits

• 65ecfd0 chore(release): prepare for release (#3912)
• 7d46a46 feat(package_info_plus): Updated Swift Package Manager setup for Flutter 3.44...
• 479ef7d feat(package_info_plus): Add support of built-in Kotlin (#3894)
• 40bb847 refactor(package_info_plus): change android gradle from groovy to kotlin (#3858)
• See full diff in compare view

Updates share_plus from 13.1.0 to 13.2.0

Commits

• 65ecfd0 chore(release): prepare for release (#3912)
• cf00609 feat(share_plus): Updated Swift Package Manager setup for Flutter 3.44 (#3911)
• 0c9b0ad feat(share_plus): Add support of built-in Kotlin (#3896)
• d9b6f29 refactor(share_plus): change android gradle from groovy to kotlin (#3860)
• 09d75d8 fix(share_plus): resolve js interop lint and maintain minimum sdk (#3846)
• See full diff in compare view

Updates sqlite3 from 3.3.3 to 3.3.4

Commits

• 4a752b1 Hook: Fix existing assets being re-downloaded
• bb4b8cf Bump zizmorcore/zizmor-action
• 465fd1b Update GH actions dependencies
• 6186376 Expose sqlite3_web types
• 56a56d7 Update Android build in example app
• See full diff in compare view

Updates ultralytics_yolo from 0.6.5 to 0.6.6

Release notes

Sourced from ultralytics_yolo's releases.

v0.6.6 - Switch export to LiteRT and make Android input layout-adaptive (#548)

🌟 Summary

🚀 v0.6.6 is a major Android model update: the app moves from legacy TFLite export tooling to LiteRT-based .tflite models, adds smarter Android runtime compatibility for both old and new model layouts, and trims the example app by making Snapdragon QNN/NPU support optional.

📊 Key Changes

• Switched Android official model exports to LiteRT 📦
  The release now uses Ultralytics’ newer format=litert export flow instead of the older TFLite export path. Official Android assets now come from v0.6.6 and use the new _w8a32.tflite naming.

• Android runtime now auto-adapts to different input layouts 🔄
  New LiteRT exports use a different tensor layout than older .tflite files. The Android code now detects this automatically, so it can run:

  • new LiteRT NCHW models
  • older legacy NHWC TFLite models
    without users needing to manually adjust anything.

• Fixed support for more model types on Android ✅
  Segment, semantic segmentation, and pose models exported with LiteRT now load and run correctly. The runtime was updated to recognize the newer LiteRT output tensor naming and shape conventions.

• Official Android assets updated to w8a32 LiteRT ⚡
  The project now ships w8a32 LiteRT models for Android, chosen because they stay small, work with the GPU path, and do not require calibration data during export.

• Export scripts were simplified and modernized 🛠️
  The Android export pipeline now targets LiteRT directly, uses the newer quantize setting, removes legacy conversion workarounds, and depends on ultralytics>=8.4.83.

• Snapdragon QNN runtime is now opt-in in the example app 📉
  The example Android app no longer bundles the heavy Qualcomm QNN/NPU runtime by default. This dramatically reduces app size, while still allowing NPU testing when explicitly enabled.

• Small release and workflow polish ✨

  • Example app build number was bumped for store upload acceptance.
  • Slack release notifications were simplified and improved with clickable PR links.

🎯 Purpose & Impact

• Better future compatibility for Android models 🤝
  Moving to LiteRT aligns the Flutter app with the current Ultralytics export path, making it easier to support newer YOLO models and export improvements going forward.

• Smoother upgrades for existing users 🔐
  Because Android now auto-detects input layout and output conventions, older TFLite models should continue working, while new LiteRT models work out of the box too.

• More reliable support across tasks 🎯
  Users working with segmentation, semantic segmentation, and pose should see better stability and fewer model-loading/runtime issues on Android.

• Smaller downloads for Android app testers 📦
  Making QNN optional cuts the default example app size significantly, which helps with faster installs and easier testing. Users who want Snapdragon NPU acceleration can still enable it explicitly.

• Practical performance-focused default for Android ⚡
  The new w8a32 LiteRT assets were selected as a balanced default: small file size, GPU-friendly, and easier export. For most users, that means a more dependable Android deployment path.

• Cleaner maintenance for developers 👨‍💻
  The export and release flow is now simpler, with less legacy logic and clearer model packaging, which should reduce breakage and make future releases easier to manage.

What's Changed

... (truncated)

Changelog

Sourced from ultralytics_yolo's changelog.

0.6.6

• Change: Android release assets are now exported with the Ultralytics format=litert path (litert-torch + ai-edge-quantizer, requires ultralytics>=8.4.83), replacing the legacy onnx2tf TFLite export. The official assets switch to w8a32 quantization (int8 weights, FP32 activations; _w8a32.tflite) on a new v0.6.6 release — the smallest format that compiles on the LiteRT GPU delegate, requiring no calibration data. The previous v0.3.5 int8 assets are left untouched so already-installed apps keep working.
• Enhancement: Android inference auto-detects the .tflite input layout — NCHW [1,3,H,W] (litert-torch, input args_0) vs NHWC [1,H,W,3] (legacy onnx2tf, input images) — and the segmentation mask-proto layout (NCHW vs NHWC), so both new format=litert exports and existing .tflite models run correctly.
• Fix: Segment, semantic, and pose models exported with format=litert now run correctly on Android. Their output tensors are named output_N rather than the legacy onnx2tf Identity_N, which the runtime now resolves so the predictors read the correct output shapes instead of failing.

Commits

• e0dfb65 Switch export to LiteRT and make Android input layout-adaptive (#548)
• 8940bf3 Linkify PR numbers in publish Slack notifications (#547)
• a182e7f Simplify Slack notification messages (#546)
• 2b71749 Use quantize export arg in TFLite export examples (#545)
• df62e6a Bump example app build number to 0.6.5+12 (#544)
• 10014c5 Make Snapdragon QNN runtime opt-in in the example app (#543)
• See full diff in compare view

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