from ctypes import *

#人脸框

class MRECT(Structure):

    _fields_=[(u'left1',c_int32),(u'top1',c_int32),(u'right1',c_int32),(u'bottom1',c_int32)]

#版本信息     版本号,构建日期,版权说明

class ASF_VERSION(Structure):

    _fields_=[('Version',c_char_p),('BuildDate',c_char_p),('CopyRight',c_char_p)]

#单人人脸信息  人脸狂,人脸角度

class ASF_SingleFaceInfo(Structure):

    _fields_=[('faceRect',MRECT),('faceOrient',c_int32)]

#多人人脸信息 人脸框数组,人脸角度数组,人脸数

class ASF_MultiFaceInfo(Structure):

    # _fields_=[('faceRect',POINTER(MRECT)),('faceOrient',POINTER( c_int32)),('faceNum',c_int32)]

    _fields_=[(u'faceRect',POINTER(MRECT)),(u'faceOrient',POINTER(c_int32)),(u'faceNum', c_int32)]

    # _fields_=[(u'faceRect',MRECT*50),(u'faceOrient',c_int32*50),(u'faceNum',c_int32)]

#人脸特征 人脸特征,人脸特征长度

class ASF_FaceFeature(Structure):

    _fields_=[('feature',c_void_p),('featureSize',c_int32)]

#自定义图片类

class IM:

    def __init__(self):

        self.filepath=None

        self.date=None

        self.width=0

        self.height=0

face_dll.py

from ctypes import *

from face_class import *

wuyongdll=CDLL('d:\python\Test\Face\lib\X64\libarcsoft_face.dll')

dll=CDLL('d:\python\Test\Face\lib\X64\libarcsoft_face_engine.dll')

dllc=cdll.msvcrt

ASF_DETECT_MODE_VIDEO = 0x00000000

ASF_DETECT_MODE_IMAGE = 0xFFFFFFFF

c_ubyte_p = POINTER(c_ubyte)

#激活

jihuo=dll.ASFActivation

jihuo.restype = c_int32

jihuo.argtypes = (c_char_p,c_char_p)

#初始化

chushihua=dll.ASFInitEngine

chushihua.restype=c_int32

chushihua.argtypes=(c_long,c_int32,c_int32,c_int32,c_int32,POINTER(c_void_p))

#人脸识别

shibie=dll.ASFDetectFaces

shibie.restype=c_int32

shibie.argtypes=(c_void_p,c_int32,c_int32,c_int32,POINTER(c_ubyte),POINTER(ASF_MultiFaceInfo))

#特征提取

tezheng=dll.ASFFaceFeatureExtract

tezheng.restype=c_int32

tezheng.argtypes=(c_void_p,c_int32,c_int32,c_int32,POINTER(c_ubyte),POINTER(ASF_SingleFaceInfo),POINTER(ASF_FaceFeature))

#特征比对

bidui=dll.ASFFaceFeatureCompare

bidui.restype=c_int32

bidui.argtypes=(c_void_p,POINTER(ASF_FaceFeature),POINTER(ASF_FaceFeature),POINTER(c_float))

malloc = dllc.malloc

free = dllc.free

memcpy = dllc.memcpy

malloc.restype = c_void_p

malloc.argtypes = (c_size_t, )

free.restype = None

free.argtypes = (c_void_p, )

memcpy.restype = c_void_p

memcpy.argtypes = (c_void_p, c_void_p, c_size_t)

face_function.py

import face_dll,face_class

from ctypes import *

import cv2

from io import BytesIO

# from Main import *

Handle=c_void_p()

c_ubyte_p = POINTER(c_ubyte)

# 激活函数

def JH(appkey,sdkey):

    ret=face_dll.jihuo(appkey,sdkey)

    return ret

# 初始化函数

def CSH():# 1：视频或图片模式,2角度,3最小人脸尺寸推荐16,4最多人脸数最大50,5功能,6返回激活句柄

    ret=face_dll.chushihua(0xFFFFFFFF,0x1,16,50,5,byref(Handle))

    # Main.Handle=Handle

    return ret,Handle

# cv2记载图片并处理

def LoadImg(im):

    img=cv2.imread(im.filepath)

    sp=img.shape

    img=cv2.resize(img,(sp[1]//4*4,sp[0]//4*4))

    sp=img.shape

    im.data=img

    im.width=sp[1]

    im.height=sp[0]

    return im

def RLSB(im):

    faces=face_class.ASF_MultiFaceInfo()

    img=im.data

    imgby=bytes(im.data)

    imgcuby=cast(imgby,c_ubyte_p)

    ret=face_dll.shibie(Handle,im.width,im.height,0x201,imgcuby,byref(faces))

    return ret,faces

# 显示人脸识别图片

def showimg(im,faces):

    for i in range(0,faces.faceNum):

        ra=faces.faceRect[i]

        cv2.rectangle(im.data,(ra.left1,ra.top1),(ra.right1,ra.bottom1),(255,0,0,),2)

    cv2.imshow('faces',im.data)

    cv2.waitKey(0)

#提取人脸特征

def RLTZ(im,ft):

    detectedFaces=face_class.ASF_FaceFeature()

    img=im.data

    imgby=bytes(im.data)

    imgcuby=cast(imgby,c_ubyte_p)

    ret=face_dll.tezheng(Handle,im.width,im.height,0x201,imgcuby,ft,byref(detectedFaces))

    if ret==0:

        retz=face_class.ASF_FaceFeature()

        retz.featureSize=detectedFaces.featureSize

        #必须操作内存来保留特征值,因为c++会在过程结束后自动释放内存

        retz.feature=face_dll.malloc(detectedFaces.featureSize)

        face_dll.memcpy(retz.feature,detectedFaces.feature,detectedFaces.featureSize)

        # print('提取特征成功:',detectedFaces.featureSize,mem)

        return ret,retz

    else:

        return ret

#特征值比对,返回比对结果

def BD(tz1,tz2):

    jg=c_float()

    ret=face_dll.bidui(Handle,tz1,tz2,byref(jg))

    return ret,jg.value

#单人特征写入文件

def writeFTFile(feature,filepath):

    f = BytesIO(string_at(feature.feature,feature.featureSize))

    a=open(filepath,'wb')

    a.write(f.getvalue())

    a.close()

#从多人中提取单人数据

def getsingleface(singleface,index):

    ft=face_class.ASF_SingleFaceInfo()

    ra=singleface.faceRect[index]

    ft.faceRect.left1=ra.left1

    ft.faceRect.right1=ra.right1

    ft.faceRect.top1=ra.top1

    ft.faceRect.bottom1=ra.bottom1

    ft.faceOrient=singleface.faceOrient[index]

    return ft

#从文件获取特征值

def ftfromfile(filepath):

    fas=face_class.ASF_FaceFeature()

    f=open('d:/1.dat','rb')

    b=f.read()

    f.close()

    fas.featureSize=b.__len__()

    fas.feature=face_dll.malloc(fas.featureSize)

    face_dll.memcpy(fas.feature,b,fas.featureSize)

    return fas

Main1.py

import face_dll,face_class

from ctypes import *

import cv2

import face_function as fun

Appkey=b''

SDKey=b''

# 激活

ret=fun.JH(Appkey,SDKey)

if ret==0 or ret==90114:

    print('激活成功:',ret)

else:

    print('激活失败:',ret)

    pass

# 初始化

ret=fun.CSH()

if ret[0]==0:

    print('初始化成功:',ret,'句柄',fun.Handle)

else:

    print('初始化失败:',ret)

# 加载图片

im=face_class.IM()

im.filepath='e:/2.jpg'

im=fun.LoadImg(im)

print(im.filepath,im.width,im.height)

# cv2.imshow('im',im.data)

# cv2.waitKey(0)

print('加载图片完成:',im)

ret=fun.RLSB(im)

if ret[0]==-1:

    print('人脸识别失败:',ret)

    pass

else:

    print('人脸识别成功:',ret)

# 显示人脸照片

# showimg(im,ret)

#提取单人1特征

ft=fun.getsingleface(ret[1],0)

tz1=fun.RLTZ(im,ft)[1]

#提取单人2特征

ft=fun.getsingleface(ret[1],1)

tz2=fun.RLTZ(im,ft)[1]

#特征保存到文件

# fun.writeFTFile(tz1,'d:/1.dat')

# fun.writeFTFile(tz2,'d:/2.dat')

#文件获取特征

tz=fun.ftfromfile('d:/1.dat')

jg=fun.BD(tz1,tz)

print(jg[1])

#结果比对

# jg=fun.BD(tz1,tz2)

# print(jg[1])