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import cv2
import numpy as np
import os
# create_watermark ===============================================================
# return:
# (<Boolean> True/False), depending on the transformation process
def create_watermark(nude):
# Add alpha channel if missing
# if nude.shape[2] < 4:
# nude = np.dstack([nude, np.ones((512, 512), dtype="uint8") * 255])
# watermark = cv2.imread("fake.png", cv2.IMREAD_UNCHANGED)
# f1 = np.asarray([0, 0, 0, 250]) # red color filter
# f2 = np.asarray([255, 255, 255, 255])
# mask = cv2.bitwise_not(cv2.inRange(watermark, f1, f2))
# mask_inv = cv2.bitwise_not(mask)
# res1 = cv2.bitwise_and(nude, nude, mask = mask)
# # res2 = cv2.bitwise_and(nude, nude, mask = mask)
# # res2 = cv2.bitwise_and(watermark, watermark, mask = mask_inv)
# res = res1
# alpha = 0.6
# return cv2.addWeighted(res, alpha, nude, 1 - alpha, 0)
return nude |