opencv图像融合（大头）

单纯的变大再覆盖上去，头部检测信息不够全，效果实在是太差，就不多说了，只是按照自己的思路玩一玩，没有达到抖音上那么好的效果

 import cv2 as cv
 import numpy as np
 import dlib

 detector = dlib.get_frontal_face_detector()
 predictor = dlib.shape_predictor('../dlib/shape_predictor_68_face_landmarks.dat')

 def big_head(camera_idx):
     cap = cv.VideoCapture(camera_idx)
     while cap.isOpened():
         cv.namedWindow('big_head', cv.WINDOW_AUTOSIZE)
         ok, frame = cap.read()
         # 镜像反转
         if camera_idx == 0 or camera_idx == 1:
             frame = cv.flip(frame, 1, dst=None)
         if not ok:
             break
         gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
         rects = detector(gray, 0)
         for i in range(len(rects)):
             landmarks = np.matrix([[p.x, p.y] for p in predictor(frame, rects[i]).parts()])
             # 脸部中心点face_center,下巴down
             face_center = (landmarks[29][0, 0], landmarks[29][0, 1])
             down = (landmarks[8][0, 0], landmarks[8][0, 1])
             left = (landmarks[0][0, 0], landmarks[0][0, 1])
             right = (landmarks[16][0, 0], landmarks[0][0, 1])
             # 上下偏移量y_offset,为了框出尽可能全的头部信息，边框扩大
             y_offset = int(1.2*abs(face_center[1]-down[1]))
             rect_start = (int(0.8*left[0]), face_center[1]-y_offset)
             rect_end = (int(1.2*right[0]), face_center[1]+y_offset)
             print(rect_start, rect_end)
             face = frame[rect_start[1]: rect_end[1], rect_start[0]: rect_end[0]]
             # 放大比例k_size
             k_size = 1.1
             size = (int(k_size*(rect_end[0]-rect_start[0])), int(k_size*(rect_end[1]-rect_start[1])))
             face = cv.resize(face, size, interpolation=cv.INTER_CUBIC)
             face_mask = 255 * np.ones(face.shape, face.dtype)
             output = cv.seamlessClone(face, frame, face_mask, face_center, cv.NORMAL_CLONE)
             cv.imshow('face', face)

             cv.rectangle(frame, rect_start, rect_end, (0, 0, 255), -1)
             # cv.circle(frame, face_center, 1, (0, 0, 255), -1)

         cv.imshow('big_head', output)
         c = cv.waitKey(10)
         if c & 0xFF == ord('q'):
             break
     cap.release()
     cv.destroyAllWindows()

 if __name__ == '__main__':
     video = '../video/face.mp4'
     big_head(video)
     # test()

效果