MelodiCell/real_time.py at main · IlginVural/MelodiCell · GitHub

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import cv2
import numpy as np
from tensorflow.keras.preprocessing.image import img_to_array
from tensorflow.keras.models import load_model

class RealTimeEmotionDetector:
    def __init__(self, model_path):
        self.model = load_model(model_path)
        self.face_classifier = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
        self.emotion_labels = ['Angry', 'Disgust', 'Fear', 'Happy', 'Sad', 'Surprise', 'Neutral']

    def detect_emotions(self):
        cap = cv2.VideoCapture(0)

        while True:
            ret, frame = cap.read()
            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
            faces = self.face_classifier.detectMultiScale(gray, 1.3, 5)

            for (x, y, w, h) in faces:
                cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)

                roi_gray = gray[y:y+h, x:x+w]
                roi_gray = cv2.resize(roi_gray, (48, 48), interpolation=cv2.INTER_AREA)

                if np.sum([roi_gray]) != 0:
                    roi = roi_gray.astype('float') / 255.0
                    roi = img_to_array(roi)
                    roi = np.expand_dims(roi, axis=0)

                    prediction = self.model.predict(roi)[0]
                    label = self.emotion_labels[prediction.argmax()]

                    cv2.putText(frame, label, (x, y-10), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)

            cv2.imshow('Emotion Recognition', frame)

            if cv2.waitKey(1) & 0xFF == ord('q'):
                break

        cap.release()
        cv2.destroyAllWindows()
#imports needed to be fixed