October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Face detector configuration
To initiate facial recognition, we need to create a FirebaseVisionFaceDetectorOptions instance. Let's create a new instance:
FirebaseVisionFaceDetectorOptions options = FirebaseVisionFaceDetectorOptions.Builder()
This can then be configured with a collection of different properties:
- Detection mode: Favors speed or accuracy when detecting faces. This can either be set to ACCURATE_MODE or FAST_MODE. This defaults to FAST_MODE:
.setModeType(FirebaseVisionFaceDetectorOptions.ACCURATE_MODE).setModeType(FirebaseVisionFaceDetectorOptions.FAST_MODE)
- Landmark detection: Determines whether or not to attempt to identify facial landmarks: eyes, ears, nose, cheeks, mouth. This defaults to NO_LANDMARKS:
.setLandmarkType(FirebaseVisionFaceDetectorOptions.ALL_LANDMARKS) ...
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