faceapidetectionweb 1.0.0+2

A Flutter package for face detection and expression analysis using JavaScript interop, providing camera controls and photo capture capabilities for web applications. this

faceapidetectionweb

A new Flutter project.

Getting Started

This project is a starting point for a Flutter application.

A few resources to get you started if this is your first Flutter project:

• Lab: Write your first Flutter app
• Cookbook: Useful Flutter samples

For help getting started with Flutter development, view the online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.

API Documentation

JSBridge Class

The JSBridge class is used to interact with JavaScript for camera and face detection functionalities.

Methods

• initialize({required Function(bool) onCameraStateChanged, required Function(String) onCameraError, required Function(String, String) onPhotoTaken, required Function(bool, List<Map<String, dynamic>>) onFaceDetectionStatus})

  • Initializes the JSBridge with the provided callback functions.
  • Parameters:
    • onCameraStateChanged: Callback when the camera state changes.
    • onCameraError: Callback when there is a camera error.
    • onPhotoTaken: Callback when a photo is taken.
    • onFaceDetectionStatus: Callback when the face detection status changes.

• Future<bool> openCamera()

  • Opens the camera.
  • Returns: A Future that resolves to true if the camera was opened successfully, otherwise false.

• void closeCamera()

  • Closes the camera.

• void takePhoto()

  • Takes a photo using the camera.

CounterWidget Class

The CounterWidget class is a stateful widget that uses the JSBridge to interact with the camera and perform face detection.

State Variables

• _isCameraOpen: A boolean indicating whether the camera is open.
• _lastPhotoTaken: A string containing the URL of the last photo taken.
• _lastPhotoWithBox: A string containing the URL of the last photo taken with a bounding box.
• _faceDetected: A boolean indicating whether a face was detected.
• _expressions: A list of maps containing the detected expressions.

Methods

• _toggleCamera()
  • Toggles the camera state between open and closed.

UI Components

• A container that serves as a placeholder for the camera view.
• Text widgets to display the face detection status and expressions.
• Buttons to open/close the camera and take a photo.
• Image widgets to display the last photo taken and the last photo with a bounding box.