camera.py

from utils import *

# features to add makeup
face_elements = [
    "LIP_LOWER",
    "LIP_UPPER",
    "EYEBROW_LEFT",
    "EYEBROW_RIGHT",
    "EYELINER_LEFT",
    "EYELINER_RIGHT",
    "EYESHADOW_LEFT",
    "EYESHADOW_RIGHT",
]

# change the color of features
colors_map = {
    # upper lip and lower lips
    "LIP_UPPER": [0, 0, 255],  # Red in BGR
    "LIP_LOWER": [0, 0, 255],  # Red in BGR
    # eyeliner
    "EYELINER_LEFT": [139, 0, 0],  # Dark Blue in BGR
    "EYELINER_RIGHT": [139, 0, 0],  # Dark Blue in BGR
    # eye shadow
    "EYESHADOW_LEFT": [0, 100, 0],  # Dark Green in BGR
    "EYESHADOW_RIGHT": [0, 100, 0],  # Dark Green in BGR
    # eye brow
    "EYEBROW_LEFT": [19, 69, 139],  # Dark Brown in BGR
    "EYEBROW_RIGHT": [19, 69, 139],  # Dark Brown in BGR
}


face_connections=[face_points[idx] for idx in face_elements]
colors=[colors_map[idx] for idx in face_elements]

video_capture = cv2.VideoCapture(0)
while True:
    # read image from camera
    success, image = video_capture.read()
    image = cv2.flip(image, 1)
    # if input from camera
    if success:
        # create a empty mask like image
        mask = np.zeros_like(image)
        # extract facial landmarks
        face_landmarks = read_landmarks(image=image)
        # create mask for facial features with color
        mask = add_mask(
            mask,
            idx_to_coordinates=face_landmarks,
        face_connections=face_connections,colors=colors
        )
        # combine the image and mask with w.r.to weights
        output = cv2.addWeighted(image, 1.0, mask, 0.2, 1.0)
        cv2.imshow("Feature", output)
        # press q to exit the cv2 window
        if cv2.waitKey(100) & 0xFF == ord("q"):
            break
video_capture.release()
cv2.destroyAllWindows()