Transitional Fade Effect

python_opencv_addWeighted.py

import cv2, time, sys
from random import *
import numpy as np
def trans_effect(named, img1, img2, speed=100):
	h1, w1, c1 = img1.shape
	h2, w2, c2 = img2.shape
	h, w, c = min(h1, h2), min(w1, w2), min(c1, c2)
	img1 = img1[:h, :w, :c]
	img2 = img2[:h, :w, :c]
	for i in range(1, 10):
		cv2.imshow(named, cv2.addWeighted(img1, 1-i/10, img2, i/10, 0))
		if cv2.waitKey(speed) & 0xFF == ord('q'):
			return 'q'
img2 = cv2.imread('me.jpg', -1)
img1 = cv2.imread('me.png', -1)
while 1:
	img1, img2 = img2, img1
	if trans_effect('img', img1, img2) == 'q':
		break
cv2.destroyAllWindows()