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face2_video.py
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73 lines (42 loc) · 1.26 KB
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# -*- coding: cp936 -*-
#中文，你懂得
# import the necessary packages
from imutils import face_utils
import numpy as np
import dlib
import cv2
#加载若干的模块
detector = dlib.get_frontal_face_detector()
#detector这个用来发现人脸， 几张人脸
predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')
# You can get the shape_predictor_68_face_landmarks.dat file from:
# http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
#发现人脸的细节，眼睛嘴巴，眉毛等。
cap=cv2.VideoCapture(0)
while cv2.waitKey(1)!=ord('q'):
_,image=cap.read()
#image=cv2.imread('2008.jpg')
#读取图片
gray=cv2.cvtColor(image,6)
#转灰度
rects = detector(gray, 1)
shape = predictor(gray, rects)
print ("rects is ",rects)
print ("shape is ",shape)
#开始读图取人脸了
#print (rects)
#for (i, rect) in enumerate(rects):
#i是人脸数量， rects是集合， rect是单张人脸的方框
#print (i,rect)
# shape = predictor(gray, rect)
#每张人脸取细节
#print (shape)
# shape = face_utils.shape_to_np(shape)
#转换为opencv的xy点数值，共68个
#print (shape)
# for (x, y) in shape:
# cv2.circle(image, (x, y), 1, (0, 0, 255), -1)
#用红笔画点，每张脸共68个点
#cv2.imshow("Output", image)
#输出图像
#cv2.waitKey(0)