使用opencv和python写一段graphcuts的算法运行动画，要求写全，我不要框架

以下是使用Python和OpenCV实现Graph Cuts算法的一个完整示例代码，用于图像分割，并包含了基本的用户交互功能：

from __future__ import print_function
import numpy as np
import cv2 as cv
import sys

# 定义各种颜色
BLUE = [255, 0, 0]
RED = [0, 0, 255]
GREEN = [0, 255, 0]
BLACK = [0, 0, 0]
WHITE = [255, 255, 255]

DRAW_BG = {'color': BLACK, 'val': 0}
DRAW_FG = {'color': WHITE, 'val': 1}
DRAW_PR_FG = {'color': GREEN, 'val': 3}
DRAW_PR_BG = {'color': RED, 'val': 2}

# 设置标志位
rect = (0, 0, 1, 1)
drawing = False
rectangle = False
rect_over = False
rect_or_mask = 100
value = DRAW_FG
thickness = 3

def onmouse(event, x, y, flags, param):
    global img, img2, drawing, value, mask, rectangle, rect, rect_or_mask, ix, iy, rect_over
    
    # 绘制矩形
    if event == cv.EVENT_RBUTTONDOWN:
        rectangle = True
        ix, iy = x, y
        
    elif event == cv.EVENT_MOUSEMOVE:
        if rectangle == True:
            img = img2.copy()
            cv.rectangle(img, (ix, iy), (x, y), BLUE, 2)
            rect = (min(ix, x), min(iy, y), abs(ix - x), abs(iy - y))
            rect_or_mask = 0
            
    elif event == cv.EVENT_RBUTTONUP:
        rectangle = False
        rect_over = True
        cv.rectangle(img, (ix, iy), (x, y), BLUE, 2)
        rect = (min(ix, x), min(iy, y), abs(ix - x), abs(iy - y))
        rect_or_mask = 0
        print("Now press the key 'n' a few times until no further change\n")

    # 绘制触控曲线
    if event == cv.EVENT_LBUTTONDOWN:
        if rect_over == False:
            print("First draw rectangle\n")
        else:
            drawing = True
            cv.circle(img, (x, y), thickness, value['color'], -1)
            cv.circle(mask, (x, y), thickness, value['val'], -1)

    elif event == cv.EVENT_MOUSEMOVE:
        if drawing == True:
            cv.circle(img, (x, y), thickness, value['color'], -1)
            cv.circle(mask, (x, y), thickness, value['val'], -1)

    elif event == cv.EVENT_LBUTTONUP:
        if drawing == True:
            drawing = False
            cv.circle(img, (x, y), thickness, value['color'], -1)
            cv.circle(mask, (x, y), thickness, value['val'], -1)


if __name__ == '__main__':
    print(__doc__)

    # 加载图片
    if len(sys.argv) == 2:
        filename = sys.argv[1]
    else:
        print("No input image given, so loading default image, ../data/lena.jpg \n")
        print("Correct Usage: python grabcut.py <filename> \n")
        filename = 'H:/pictures/butterfly.jpg'

    img = cv.imread(filename)
    img2 = img.copy()

    output = np.zeros(img.shape, np.uint8)

    cv.namedWindow('output')
    cv.namedWindow('input')
    cv.setMouseCallback('input', onmouse)
    cv.moveWindow('input', img.shape[1] + 10, 90)

    print("Instructions:\n")
    print("Draw a rectangle around the object using right mouse button\n")

    while(1):
        cv.imshow('output', output)
        cv.imshow('input', img)
        
        k = cv.waitKey(1)
        
        if k == 27:         # ESC to exit
            break
        elif k == ord('0'): # BG drawing
            print("Mark background regions with left mouse button\n")
            value = DRAW_BG
        elif k == ord('1'): # FG drawing
            print("Mark foreground regions with left mouse button\n")
            value = DRAW_FG
        elif k == ord('2'): # PR_BG drawing
            value = DRAW_PR_BG
        elif k == ord('3'): # PR_FG drawing
            value = DRAW_PR_FG
        elif k == ord('s'): # save image
            bar = np.zeros((img.shape[0], 5, 3), np.uint8)
            res = np.hstack((img2, bar, img, bar, output))
            cv.imwrite('grabcut_output.png', res)
            print("Results saved as image\n")
        elif k == ord('r'): # reset everything
            print("Resetting\n")
            rect = (0, 0, 1, 1)
            drawing = False
            rectangle = False
            rect_or_mask = 100
            rect_over = False
            value = DRAW_FG
            img = img2.copy()
            
            mask = np.zeros(img.shape[:2], dtype=np.uint8)
            output = np.zeros(img.shape, np.uint8)
        elif k == ord('n'): # segment the image
            print("For finer touchups, mark foreground and background after pressing keys 0-3 and again press 'n'\n")
            if (rect_or_mask == 0):          # grabcut with rect
                bgdmodel = np.zeros((1, 65), np.float64)
                fgdmodel = np.zeros((1, 65), np.float64)
                cv.grabCut(img2, mask, rect, bgdmodel, fgdmodel, 1, cv.GC_INIT_WITH_RECT)
                rect_or_mask = 1
            elif rect_or_mask == 1:          # grabcut with mask
                bgdmodel = np.zeros((1, 65), np.float64)
                fgdmodel = np.zeros((1, 65), np.float64)
                cv.grabCut(img2, mask, rect, bgdmodel, fgdmodel, 1, cv.GC_INIT_WITH_MASK)
                
            mask2 = np.where((mask == 1) + (mask == 3), 255, 0).astype('uint8')
            output = cv.bitwise_and(img2, img2, mask=mask2)
    
    cv.destroyAllWindows()

这段代码实现了基本的GrabCut图像分割技术，允许用户绘制一个矩形框选择感兴趣的区域，并可以通过标记背景和前景来进行细化调整。注意，为了运行这个脚本，你需要安装OpenCV库，并且确保路径下的图像文件存在。