flutter_liveness 1.1.1 
flutter_liveness: ^1.1.1 copied to clipboard
Published 3 days ago • 
knottx.dev
knottx.devOn-device face liveness detection for Flutter using a MobileNetV2 model. Detect spoof attacks from photos and videos, no internet required.
1.1.1 #
- Update description
- Small improvements
1.1.0 #
- Can config use GPU
- Can config CPU threads
- Small improvements
1.0.0 #
- Update Sigmoid score (probability of class=1)
- Update result duration
0.0.2 #
- Update LivenessResult
0.0.1+3 #
- Update meta data
0.0.1+2 #
- Update meta data
0.0.1+1 #
- Update meta data
0.0.1 #
- On-device face liveness / anti-spoofing detection
- Bundled MobileNetV2 TFLite model (MIT licensed)
- Image normalization + resize pipeline
- Laplacian blur / clarity filter
- TensorFlow Lite isolate execution for performance
- Simple async API:
- FlutterLiveness.create()
- liveness.analyze(img)
- liveness.dispose()
- Works offline, real-time capable
- Configurable thresholds & options
Metadata
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Metadata
On-device face liveness detection for Flutter using a MobileNetV2 model. Detect spoof attacks from photos and videos, no internet required.
Repository (GitHub)
View/report issues
Topics
#liveness #detection #face #tflite
Documentation
Funding
Consider supporting this project:
github.com
License
MIT (license)
Dependencies
flutter, image, tflite_flutter
