Emotion-Recognition

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Core Concept

This code essentially captures video from the webcam, processes each frame to recognize facial emotions using the facial_emotion_recognition library, and displays the results in a window. The loop continues until the 'ESC' key is pressed, upon which it releases the webcam resource and closes all OpenCV windows.

Importing Necessary Libraries

from facial_emotion_recognition import EmotionRecognition
import cv2

• facial_emotion_recognition: A library for recognizing facial emotions.
• cv2: The OpenCV library for computer vision tasks.

Initializing Emotion Recognition

er = EmotionRecognition(device='cpu')

• EmotionRecognition(device='cpu'): Initializes the emotion recognition model. The parameter device specifies the device to be used for processing (CPU in this case).

Initializing Webcam

cam = cv2.VideoCapture(0)

• cv2.VideoCapture(0): Initializes the webcam for video capture. The argument 0 typically refers to the default webcam on the computer.

Real-Time Emotion Recognition Loop

while True:
    _, frame = cam.read()
    frame = er.recognise_emotion(frame, return_type='BGR')
    
    cv2.imshow("Frame", frame)
    key = cv2.waitKey(1)
    if key == 27:
        break

• cam.read(): Captures a frame from the webcam. _ is used to ignore the first return value (a boolean indicating if the frame was read correctly), and frame stores the captured image.
• er.recognise_emotion(frame, return_type='BGR'): Recognizes emotions in the captured frame. The return_type parameter specifies the format of the returned image (BGR in this case).
• cv2.imshow("Frame", frame): Displays the frame with recognized emotions.
• cv2.waitKey(1): Waits for 1 millisecond for a key press. If the 'ESC' key (key code 27) is pressed, the loop breaks.

Releasing Resources

cam.release()
cv2.destroyAllWindows()

• cam.release(): Releases the webcam resource.
• cv2.destroyAllWindows(): Closes all OpenCV windows.