單純的變大再覆蓋上去，頭部檢測信息不夠全，效果實在是太差，就不多說了，只是按照自己的思路玩一玩，沒有達到抖音上那麽好的效果

 1 import cv2 as cv
 2 import numpy as np
 3 import dlib
 4 
 5 
 6 detector = dlib.get_frontal_face_detector()
 7 predictor = dlib.shape_predictor(‘../dlib/shape_predictor_68_face_landmarks.dat‘)
 8 
 9 
10 def big_head(camera_idx):
 
11     cap = cv.VideoCapture(camera_idx)
12     while cap.isOpened():
13         cv.namedWindow(‘big_head‘, cv.WINDOW_AUTOSIZE)
14         ok, frame = cap.read()
15         # 鏡像反轉
16         if camera_idx == 0 or camera_idx == 1:
17             frame = cv.flip(frame, 1, dst=None)
18         if
 
 not ok:
19             break
20         gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
21         rects = detector(gray, 0)
22         for i in range(len(rects)):
23             landmarks = np.matrix([[p.x, p.y] for p in predictor(frame, rects[i]).parts()])
24             # 臉部中心點face_center,下巴down
 

25             face_center = (landmarks[29][0, 0], landmarks[29][0, 1])
26             down = (landmarks[8][0, 0], landmarks[8][0, 1])
27             left = (landmarks[0][0, 0], landmarks[0][0, 1])
28             right = (landmarks[16][0, 0], landmarks[0][0, 1])
29             # 上下偏移量y_offset,為了框出盡可能全的頭部信息，邊框擴大
30             y_offset = int(1.2*abs(face_center[1]-down[1]))
31             rect_start = (int(0.8*left[0]), face_center[1]-y_offset)
32             rect_end = (int(1.2*right[0]), face_center[1]+y_offset)
33             print(rect_start, rect_end)
34             face = frame[rect_start[1]: rect_end[1], rect_start[0]: rect_end[0]]
35             # 放大比例k_size
36             k_size = 1.1
37             size = (int(k_size*(rect_end[0]-rect_start[0])), int(k_size*(rect_end[1]-rect_start[1])))
38             face = cv.resize(face, size, interpolation=cv.INTER_CUBIC)
39             face_mask = 255 * np.ones(face.shape, face.dtype)
40             output = cv.seamlessClone(face, frame, face_mask, face_center, cv.NORMAL_CLONE)
41             cv.imshow(‘face‘, face)
42 
43             cv.rectangle(frame, rect_start, rect_end, (0, 0, 255), -1)
44             # cv.circle(frame, face_center, 1, (0, 0, 255), -1)
45 
46         cv.imshow(‘big_head‘, output)
47         c = cv.waitKey(10)
48         if c & 0xFF == ord(‘q‘):
49             break
50     cap.release()
51     cv.destroyAllWindows()
52 
53 
54 if __name__ == ‘__main__‘:
55     video = ‘../video/face.mp4‘
56     big_head(video)
57     # test()

效果

opencv圖像融合（大頭）