Pixelates areas inside videos with opencv

blur.py

#!/usr/bin/env python2
# encoding: utf-8

import cv2
import cv
import sys


video = cv2.VideoCapture("input.webm")
fps = video.get(cv.CV_CAP_PROP_FPS) / 2
videoout = cv2.VideoWriter()

size = (int(video.get(cv.CV_CAP_PROP_FRAME_WIDTH)), int(video.get(cv.CV_CAP_PROP_FRAME_HEIGHT)))
fourcc = int(video.get(cv.CV_CAP_PROP_FOURCC))
fourcc = fourcc or cv.CV_FOURCC('V', 'P', '8', '0')
videoout.open("blured.webm", fourcc, 15 or video.get(cv.CV_CAP_PROP_FPS), size)

if not videoout.isOpened():
    print "Error write. VideoWrite/ffmpeg support missing?"
    exit(1)

blurs = [
    # [start_frame, end_frame, (pos_left, pos_top), (pos_right, pos_bottum)]
    [15, 65, (1500, 180), (2310, 475)],
    [265, 310, (1500, 180), (2800, 1600)],
]

i = 0
while True:
    ret, img = video.read()
    i += 1
    if not ret:
        break
    sys.stdout.write("\r{}".format(i))
    sys.stdout.flush()
    for b in blurs:
        if b[0] <= i <= b[1]:
            roi = img[b[2][1]:b[3][1],b[2][0]:b[3][0]]
            roi = cv2.GaussianBlur(roi, (33,33), 3)
            #img = roi
            img[b[2][1]:b[3][1],b[2][0]:b[3][0]] = roi
#    cv2.imshow("preview", img)
    videoout.write(img)
#    if cv2.waitKey(int(1000/fps)) & 0xff == 27:
#        print i
#        break