import cv2
import numpy as np
def main():
const = 1
max_value = 255
faces_image = cv2.imread("../data/faces.jpeg", 1)
faces_image = cv2.cvtColor(faces_image, cv2.COLOR_BGR2HSV)
faces_image_700 = cv2.resize(faces_image, (700, 700))
hue = faces_image_700[:, :, 0]
satr = faces_image_700[:, :, 1]
value = faces_image_700[:, :, 2]
hsv_images = np.concatenate((hue, satr, value), axis=1)
_, hue_thresh = cv2.threshold(hue, 10, max_value, cv2.THRESH_BINARY_INV)
_, satr_thresh = cv2.threshold(satr, 40, max_value, cv2.THRESH_BINARY)
skin_image = cv2.bitwise_and(hue_thresh, satr_thresh)
cv2.imshow("Hue Image", hue_thresh)
cv2.imshow("Saturation Image", satr_thresh)
cv2.imshow("SKin Detected Image", skin_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
if __name__ == '__main__':
main()
