逐帧P视频水印

（1）读取本地视频

（2）逐帧鼠标左键框选水印部分，覆盖为白色

（3）按按键‘y’,'Y'使用上一次位置的框覆盖此次的水印

（4）按其他按键表示不处理当前帧

import cv2
import numpy as np
import easygui
import copy

import cv2
import numpy as np
import easygui
import copy

global frame, point1, point2, key
key = False
point1 = point2 = (0,0)

videopath = easygui.fileopenbox()
cap = cv2.VideoCapture(videopath)
if not cap.isOpened():
    easygui.msgbox("video read failure")
    exit(0)

video_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
video_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = cap.get(cv2.CAP_PROP_FPS)
fourcc = int(cap.get(cv2.CAP_PROP_FOURCC))

cv2.namedWindow('result')

def Rectangular_box(event, x, y, flags, param):
    global frame, point1, point2
    img = frame.copy()
    if event == cv2.EVENT_LBUTTONDOWN:
        point1 = (x, y)
        cv2.circle(img, point1, 10, (0, 255, 0), 5)
        cv2.imshow('result', img)
    elif event == cv2.EVENT_MOUSEMOVE and (flags & cv2.EVENT_FLAG_LBUTTON):
        cv2.rectangle(img, point1, (x, y), (255, 0, 0), 5)
        cv2.imshow('result', img)
    elif event == cv2.EVENT_LBUTTONUP:
        point2 = (x, y)
        cv2.rectangle(img, point1, point2, (0, 255, 255), 4)

        mask = np.zeros([video_height,video_width,3],np.uint8)
        max_h = point1[1] if point1[1]>point2[1] else point2[1]
        min_h = point1[1] if point1[1]point2[0] else point2[0]
        min_w = point1[0] if point1[0]point2[1] else point2[1]
        min_h = point1[1] if point1[1]point2[0] else point2[0]
        min_w = point1[0] if point1[0]