def calculate_smile_score(face_landmarks, image_shape): # Key landmarks: # Lip corners: 61 (left), 291 (right), 13 (upper lip), 14 (lower lip) left_mouth = face_landmarks.landmark[61] right_mouth = face_landmarks.landmark[291] upper_lip = face_landmarks.landmark[13] lower_lip = face_landmarks.landmark[14]
Future<double> detectSmile(CameraImage image) async // Convert CameraImage to tensor input (224x224 RGB) var input = preprocessImage(image); var output = List.filled(1, 0).reshape([1, 1]); // output: smile score 0-1 eve smile
# Smile intensity (mouth opening + lip corner pull) mouth_width = distance(left_mouth, right_mouth) mouth_height = distance(upper_lip, lower_lip) intensity = min(100, (mouth_width / normalized_width) * 50 + (mouth_height / normalized_height) * 50) 13 (upper lip)
Future<void> loadModel() async _interpreter = await Interpreter.fromAsset('smile_model.tflite'); var output = List.filled(1
