Python调用OpenCV实现人脸识别,供大家参考,具体内容如下
硬件环境:
Win10 64位
软件环境:
Python版本:2.7.3
IDE:JetBrains PyCharm 2016.3.2
Python库:
1.1) opencv-python(3.2.0.6)
搭建过程:
OpenCV Python库:
1. PyCharm的插件源中选择opencv-python(3.2.0.6)库安装
题外话:Python入门Tips
PS1:如何安装whl文件
1.先安装PIP
2.CMD命令进入D:\Python27\Scripts里面后再执行PIP命令安装pip install wheel
如果提示'pip'不是内部或外部命令,也不是可运行的程序或批处理文件:
①将python安装目录下的scripts目录(例如D:\Python27\Scripts)添加到系统环境变量path里,注意前加分号。再执行该命令
pip install wheel
②在cmd下进入到D:\Python27\Scripts目录下执行该命令
pip install wheel
3.把文件最好放在\Script文件夹里面再pip install xxxx.whl
4.注意whl文件名不能改 必须一模一样和原名
PS2:到哪找.whl文件?
相关代码:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
|
import cv2
import numpy as np
cv2.namedWindow( "test" ) # Create a window
cap = cv2.VideoCapture( 0 ) #Open camera one
success, frame = cap.read() #Read one frame
print ( "Camera open operation is: " , success);
color = ( 255 , 0 , 0 ) #Config the color
classfier = cv2.CascadeClassifier( "Resources\haarcascade_frontalface_alt.xml" )
#Make sure this xml file is in the same directory with py file
#Otherwise change it to absolute directory. This xml file can be found in D:\My
Documents\Downloads\opencv\sources\data\haarcascades
while success:
success, frame = cap.read()
size = frame.shape[: 2 ] #
image = np.zeros(size, dtype = np.float16) #
image = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) #
cv2.equalizeHist(image, image) #
#Below three lines config the minimal image size
divisor = 8
h, w = size
minSize = (( int )(w / divisor), ( int )(h / divisor))
faceRects = classfier.detectMultiScale(image, 1.2 , 2 , cv2.CASCADE_SCALE_IMAGE, minSize) #Face detect
if len (faceRects) > 0 : #If face array length > 0
for faceRect in faceRects: #Draw a rectangle for every face
xf, yf, wf, hf = faceRect
x = int (( float )(xf))
y = int (( float )(yf))
w = int (( float )(wf))
h = int (( float )(hf))
cv2.rectangle(frame, (x, y), (x + w, y + h), color)
cv2.circle(frame, (( int )(x + 1.2 * w / 4 ), ( int )(y + h / 3 )), min (( int )(w / 8 ), ( int )(h / 8 )), ( 255 , 0 , 0 ))
cv2.circle(frame, (( int )(x + 2.8 * w / 4 ), ( int )(y + h / 3 )), min (( int )(w / 8 ), ( int )(h / 8 )), ( 255 , 0 , 0 ))
#cv2.rectangle(frame, ((int)(x + 3 * w / 8, (int)(y + 3 * h / 4))), ((int)(x + 5 * w / 8), (int)(y + 7 * h / 8)), (255, 0, 0))
cv2.imshow( "test" , frame) #Display image
key = cv2.waitKey( 10 )
c = chr (key & 255 )
if c in [ 'q' , 'Q' , chr ( 27 )]:
break
cv2.destroyWindow( "test" )
|
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/jgw2008/article/details/78501009