import numpy as np
import cv2

camera = cv2.VideoCapture(0)

# determine upper and lower HSV limits for (my) skin tones
lower = np.array([0, 100, 0], dtype="uint8")
upper = np.array([50,255,255], dtype="uint8")

while (True):
    ret, frame = camera.read()
    if not ret:
        continue
    # switch to HSV
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    # find mask of pixels within HSV range
    skinMask = cv2.inRange(hsv, lower, upper)
    # denoise
    skinMask = cv2.GaussianBlur(skinMask, (9, 9), 0)
    # kernel for morphology operation
    kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (4, 4))
    # CLOSE (dilate / erode)
    skinMask = cv2.morphologyEx(skinMask, cv2.MORPH_CLOSE, kernel, iterations = 3)
    # denoise the mask
    skinMask = cv2.GaussianBlur(skinMask, (9, 9), 0)
    # only display the masked pixels
    skin = cv2.bitwise_and(frame, frame, mask = skinMask)
    cv2.imshow("HSV", skin)
    # quit or save frame
    key = cv2.waitKey(1000 // 12) & 0xff
    if key == ord("q"):
        break
    if key == ord("p"):
        cv2.imwrite("skin.jpg", skin) 

cv2.destroyAllWindows()