Face detection in Flutter using MLKit | MLKit Flutter | Using MLKit in Flutter
This video shows the face detection in Flutter using MLKit.
Face detection in Flutter using MLKit | MLKit Flutter *
ML (Machine Learning) Kit was one of the key highlights in Google I/O 2018. This kit is comprised of
Image Labeling
Text- Recognition
Face- Detection
Barcode- scanning
Landmark- detection
To start with we need to import mlkit package
mlkit 0.5.0 — A Flutter plugin to use the Firebase ML Kit.
We simply need to import this package in our pubspec.yaml
Now, create a project using Firebase by referring to the article.
Please note that the name of your app should be the same in the Firebase, your project’s manifest.xml (if playing in android), and in the app-level build.gradle (if playing in android).
Include the google-services.json in the app directory of android. (one of the steps in Firebase project setup). VisionFace of MlKit library, is used for storing the parameters which are detected from the selected image. VisionFaceDetectorOptions is used for setting any of the face detector’s default settings. The settings available are :
modeType : VisionFaceDetectorMode.Accurate / Fast
landmarkType : VisionFaceDetectorLandmark.All / None
classificationType : VisionFaceDetectorClassification.All / None
minFaceSize : a double value (with default as 0.1)
isTrackingEnabled : a boolean value (with default as false)
Website: http://flatteredwithflutter.com/ml-ki...
Medium blog: / ml-kit-and-face-detection-in-flutter
For complete source code, visit
https://github.com/AseemWangoo/flutte...
In case, this helped, pass me a coffee!! 😊😊
https://www.buymeacoffee.com/aseemwangoo
#FaceDetection #FlatteredWithFlutter #Flutter
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