世界杯谁家球队人气旺？一键为自家球队打call！

genre = 2  # 0:左边单侧 1:右边单侧 2:双侧flagimg = './agt.png'  # 贴图地址faceimg = './p2c_photo.png'  # 人物地址toflagimg = './bx.png'  # 另外一侧贴图地址(右侧)

!pip install -U paddlehub
!hub install face_landmark_localization==1.0.2# 安装PaddleGAN的pip包，即可使用api预测方式!pip install --upgrade ppgan
!pip install dlib==19.22.0 -i https://pypi.douban.com/simple

import paddlehub as hubimport cv2import os

face_landmark = hub.Module(name="face_landmark_localization")
result = face_landmark.keypoint_detection(images=[cv2.imread(faceimg)])

import numpy as npfrom PIL import Imageimport cv2import numpy as npfrom math import sqrtdef sjb_hand(result1, flagimg, faceimg, select):
    result1 = result[0]['data'][0]
    pts = []    
    def around(select):
        order = [[2, 30, 3, 31], [30, 31, 16, 15]]
        order = order[select]        for o in order:
            tx = int(result1[o-1][0])
            ty = int(result1[o-1][1])
            pts.append([tx, ty])

        x = []
        y = []        for pt in pts:
            x.append(pt[0])
            y.append(pt[1])        # x = tuple(x)
        # y = tuple(y) 
        x1 = min(x)
        y1 = min(y)
        x2 = max(x)
        y2 = max(y)        # print(x1, x2, y1, y2)
        return x1, x2, y1, y2
    
    x1, x2, y1, y2 = around(select)


    img = Image.open(flagimg)    # print(((x2 - x1) // 2), int((y2 - y1) * 1.2))
    reim=img.resize((((x2 - x1) // 2), int((y2 - y1) * 1.2)))  # 宽*高

    reim.save('newflagimg.png')

    im = cv2.imread(faceimg)
    obj = cv2.imread('newflagimg.png')
    mask = 255 * np.ones(obj.shape, obj.dtype)    # print(im.shape, obj.shape)

    center = (int(x1+(x2-x1)//2), y1+(y2-y1)//2)

    mixed_clone = cv2.seamlessClone(obj, im, mask, center, cv2.  NORMAL_CLONE)
    cv2.imwrite("inputimg.jpg", mixed_clone)

#生成动画头像from ppgan.apps import Photo2CartoonPredictor
%cd /home/aistudio
p2c = Photo2CartoonPredictor(output_path='/home/aistudio/result/')
p2c.run(faceimg)

if genre == 0:
    sjb_hand(result, flagimg, './result/p2c_photo.png', 0)
    os.rename("./inputimg.jpg", './newphoto.jpg')
    sjb_hand(result, flagimg, './result/p2c_cartoon.png', 0)
    os.rename("./inputimg.jpg", './newcartoon.jpg')elif genre == 1:
    sjb_hand(result, flagimg, './result/p2c_photo.png', 1)
    os.rename("./inputimg.jpg", './newphoto.jpg')
    sjb_hand(result, flagimg, './result/p2c_cartoon.png', 1)
    os.rename("./inputimg.jpg", './newcartoon.jpg')elif genre == 2:
    tofaceimg = "inputimg.jpg"
    sjb_hand(result, flagimg, './result/p2c_photo.png', 0)
    sjb_hand(result, toflagimg, tofaceimg, 1)
    os.rename("./inputimg.jpg", './newphoto.jpg')
    sjb_hand(result, flagimg, './result/p2c_cartoon.png', 0)
    sjb_hand(result, toflagimg, tofaceimg, 1)
    os.rename("./inputimg.jpg", './newcartoon.jpg')from PIL import Image
Image.open('newcartoon.jpg')

from PIL import Image
Image.open('newphoto.jpg')