google_mlkit_selfie_segmentation 0.8.1 
google_mlkit_selfie_segmentation: ^0.8.1 copied to clipboard
flutter-ml.devFlutter plugin to use Google's ML Kit Selfie Segmentation API to easily separate the background from users within a scene and focus on what matters.
We analyzed this package 37 hours ago, and awarded it 150 pub points (of a possible 160):
10/10 points: Provide a valid pubspec.yaml
5/5 points: Provide a valid README.md
5/5 points: Provide a valid CHANGELOG.md
10/10 points: Use an OSI-approved license
Detected license: MIT.
10/10 points: 20% or more of the public API has dartdoc comments
45 out of 53 API elements (84.9 %) have documentation comments.
Some symbols that are missing documentation: google_mlkit_selfie_segmentation, google_mlkit_selfie_segmentation.InputImageFormatValue, google_mlkit_selfie_segmentation.InputImageFormatValue.fromRawValue, google_mlkit_selfie_segmentation.InputImageFormatValue.rawValue, google_mlkit_selfie_segmentation.InputImageRotationValue.
10/10 points: Package has an example
20/20 points: Supports 2 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
-
✓ Android
-
✓ iOS
These platforms are not supported:
Package does not support platform `Windows`.
Because:
package:google_mlkit_selfie_segmentation/google_mlkit_selfie_segmentation.dartthat declares support for platforms:Android,iOS.
Package does not support platform `Linux`.
Because:
package:google_mlkit_selfie_segmentation/google_mlkit_selfie_segmentation.dartthat declares support for platforms:Android,iOS.
Package does not support platform `macOS`.
Because:
package:google_mlkit_selfie_segmentation/google_mlkit_selfie_segmentation.dartthat declares support for platforms:Android,iOS.
Package does not support platform `Web`.
Because:
package:google_mlkit_selfie_segmentation/google_mlkit_selfie_segmentation.dartthat declares support for platforms:Android,iOS.
0/0 points: WASM compatibility
Package not compatible with runtime wasm
Because:
package:google_mlkit_selfie_segmentation/google_mlkit_selfie_segmentation.dartthat imports:package:google_mlkit_selfie_segmentation/src/selfie_segmenter.dartthat imports:package:google_mlkit_commons/google_mlkit_commons.dartthat imports:package:google_mlkit_commons/src/input_image.dartthat imports:dart:io
This package is not compatible with runtime wasm, and will not be rewarded full points in a future version of the scoring model.
See https://dart.dev/web/wasm for details.
0/0 points: Swift Package Manager support
Package does not support the Swift Package Manager on iOS
It does not contain ios/google_mlkit_selfie_segmentation/Package.swift.
This package for iOS or macOS does not support the Swift Package Manager. It will not receive full points in a future version of the scoring model.
See https://docs.flutter.dev/to/spm for details.
50/50 points: code has no errors, warnings, lints, or formatting issues
0/10 points: All of the package dependencies are supported in the latest version
| Package | Constraint | Compatible | Latest |
|---|---|---|---|
flutter |
flutter |
0.0.0 | 0.0.0 |
google_mlkit_commons |
^0.8.1 |
0.8.1 | 0.9.0 |
Transitive dependencies
| Package | Constraint | Compatible | Latest |
|---|---|---|---|
characters |
- | 1.3.0 | 1.3.1 |
collection |
- | 1.18.0 | 1.19.1 |
material_color_utilities |
- | 0.11.1 | 0.12.0 |
meta |
- | 1.15.0 | 1.16.0 |
sky_engine |
- | 0.0.99 | 0.0.99 |
vector_math |
- | 2.1.4 | 2.1.4 |
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.
The constraint `^0.8.1` on google_mlkit_commons does not support the stable version `0.9.0`.
Try running dart pub upgrade --major-versions google_mlkit_commons to update the constraint.
10/10 points: Package supports latest stable Dart and Flutter SDKs
20/20 points: Compatible with dependency constraint lower bounds
pub downgrade does not expose any static analysis error.
Analyzed with Pana 0.22.15, Flutter 3.24.5, Dart 3.5.4.
Check the analysis log for details.
Metadata
Publisher
Metadata
Flutter plugin to use Google's ML Kit Selfie Segmentation API to easily separate the background from users within a scene and focus on what matters.
Homepage
Repository (GitHub)
View/report issues
Documentation
License
MIT (license)
