Python Göz Rengi Algılama (Python Eye Color Detection)

import cv2

# Load the pre-trained models for face and eye detection
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')

# Set the video capture source (0 for webcam)
cap = cv2.VideoCapture(0)

while True:
    # Read the video stream frame by frame
    ret, frame = cap.read()

    # Convert the frame to grayscale for face and eye detection
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Detect faces in the grayscale frame
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    # Loop over each face found
    for (x, y, w, h) in faces:
        # Draw rectangle around the face
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)

        # Extract the region of interest (ROI) within the face rectangle
        roi_gray = gray[y:y + h, x:x + w]
        roi_color = frame[y:y + h, x:x + w]

        # Detect eyes in the ROI
        eyes = eye_cascade.detectMultiScale(roi_gray)

        # Loop over each eye found
        for (ex, ey, ew, eh) in eyes:
            # Draw rectangle around the eyes
            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)

            # Extract the region of interest (ROI) within the eye rectangle
            eye_roi = roi_gray[ey:ey + eh, ex:ex + ew]

            # Perform eye color detection based on the average pixel intensity
            avg_pixel_intensity = cv2.mean(eye_roi)[0]

            # Determine the eye color based on the average pixel intensity
            if avg_pixel_intensity < 90:  # Dark eye color
                eye_color = "Dark"
            elif avg_pixel_intensity < 120:  # Brown eye color
                eye_color = "Brown"
            elif avg_pixel_intensity < 150:  # Hazel eye color
                eye_color = "Hazel"
            elif avg_pixel_intensity < 180:  # Green eye color
                eye_color = "Green"
            else:  # Blue eye color
                eye_color = "Blue"

            # Display the detected eye color
            cv2.putText(frame, eye_color, (x + ex, y + ey - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.9, (0, 255, 0), 2)

    # Display the resulting frame with the detected eyes and eye color
    cv2.imshow('Eye Color Detection', frame)

    # Break the infinite loop when 'q' is pressed
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release the video capture object and close all windows
cap.release()
cv2.destroyAllWindows()