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PlatformAndroid

A Flutter plugin for real-time hand landmark detection on Android using Google's MediaPipe Hand Landmarker task and a JNI bridge.

160/ 160
pub points
269
downloads

We analyzed this package 5 days ago, and awarded it 160 pub points (of a possible 160):

Passed report section
Follow Dart file conventions
30 / 30trigger folding of the section

Passed check 10/10 points: Provide a valid pubspec.yaml

Passed check 5/5 points: Provide a valid README.md

Passed check 5/5 points: Provide a valid CHANGELOG.md

Passed check 10/10 points: Use an OSI-approved license

Detected license: MIT.

Passed report section
Provide documentation
20 / 20trigger folding of the section

Passed check 10/10 points: 20% or more of the public API has dartdoc comments

23 out of 36 API elements (63.9 %) have documentation comments.

Some symbols that are missing documentation: hand_landmarker, hand_landmarker.Hand.Hand.new, hand_landmarker.HandLandmarkerDelegate, hand_landmarker.Landmark.Landmark.new, hand_landmarker.Landmark.x.

Passed check 10/10 points: Package has an example

Passed report section
Platform support
20 / 20trigger folding of the section

Passed check 20/20 points: Supports 1 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)

  • ✓ Android

These platforms are not supported:

Package does not support platform `iOS`.

Because:

  • package:hand_landmarker/hand_landmarker.dart that declares support for platforms: Android.
Package does not support platform `Windows`.

Because:

  • package:hand_landmarker/hand_landmarker.dart that declares support for platforms: Android.
Package does not support platform `Linux`.

Because:

  • package:hand_landmarker/hand_landmarker.dart that declares support for platforms: Android.
Package does not support platform `macOS`.

Because:

  • package:hand_landmarker/hand_landmarker.dart that declares support for platforms: Android.
Package does not support platform `Web`.

Because:

  • package:hand_landmarker/hand_landmarker.dart that declares support for platforms: Android.
Passed report section
Pass static analysis
50 / 50trigger folding of the section

Passed check 50/50 points: code has no errors, warnings, lints, or formatting issues

Passed report section
Support up-to-date dependencies
40 / 40trigger folding of the section

Passed check 10/10 points: All of the package dependencies are supported in the latest version

Package Constraint Compatible Latest Notes
camera ^0.11.3 0.11.3 0.11.3
jni ^0.15.2 0.15.2 0.15.2
plugin_platform_interface ^2.1.8 2.1.8 2.1.8
Transitive dependencies
Package Constraint Compatible Latest Notes
args - 2.7.0 2.7.0
async - 2.13.0 2.13.0
camera_android_camerax - 0.6.26+2 0.6.26+2
camera_avfoundation - 0.9.22+8 0.9.22+8
camera_platform_interface - 2.12.0 2.12.0
camera_web - 0.3.5+2 0.3.5+2
characters - 1.4.0 1.4.1
collection - 1.19.1 1.19.1
cross_file - 0.3.5+1 0.3.5+1
ffi - 2.1.4 2.1.4
flutter_plugin_android_lifecycle - 2.0.33 2.0.33
material_color_utilities - 0.11.1 0.13.0
meta - 1.17.0 1.17.0
package_config - 2.2.0 2.2.0
path - 1.9.1 1.9.1
stream_transform - 2.1.1 2.1.1
vector_math - 2.2.0 2.2.0
web - 1.1.1 1.1.1

To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.

Passed check 10/10 points: Package supports latest stable Dart and Flutter SDKs

Passed check 20/20 points: Compatible with dependency constraint lower bounds

pub downgrade does not expose any static analysis error.

Analyzed with Pana 0.23.3, Flutter 3.38.4, Dart 3.10.3.

Check the analysis log for details.

Weekly downloads

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7
likes
160
points
269
downloads

Publisher

unverified uploader

Weekly Downloads

A Flutter plugin for real-time hand landmark detection on Android using Google's MediaPipe Hand Landmarker task and a JNI bridge.

Repository (GitHub)
View/report issues

Topics

#hand-tracking #mediapipe #computer-vision #machine-learning #jni

Documentation

API reference

License

MIT (license)

Dependencies

camera, flutter, jni, plugin_platform_interface

More

Packages that depend on hand_landmarker

Packages that implement hand_landmarker