ArcFaceSDK3.0 Python Demo

概述做服务外包项目需要是用虹软的人脸对比SDK，项目使用Python进行开发，但是网上以及官方社区没有基于Python的3.0版本项目，所以自己根据社区里大佬1.1和2.0的Demo修改套了一下face_classfromctypesimport*#人脸框classMRECT(Structure):_fields_=[(u'left1',c_i

做服务外包项目需要是用虹软的人脸对比SDK，项目使用Python进行开发，但是网上以及官方社区没有基于Python的3.0版本项目，所以自己根据社区里大佬1.1和2.0的Demo修改套了一下

face_class

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face_dllclass IM:    def __init__(self):        self.filepath = None        self.date = None        self.wIDth = 0        self.height = 0

face_dll

wuyongdll = CDLL('/media/psf/Home/code/fwwb/face/so/libarcsoft_face.so')dll = CDLL('/media/psf/Home/code/fwwb/face/so/libarcsoft_face_engine.so')libc = CDLL('libc.so.6')#这里不同 *** 作系统使用的动态库链接文件是不同的，我使用的是linux用了libc.soASF_DETECT_MODE_VIDEO = 0x00000000ASF_DETECT_MODE_IMAGE = 0xFFFFFFFFc_ubyte_p = POINTER(c_ubyte)# 激活jihuo = dll.ASFActivationjihuo.restype = c_int32jihuo.argtypes = (c_char_p, c_char_p)# 初始化chushihua = dll.ASFInitEnginechushihua.restype = c_int32chushihua.argtypes = (    c_long,    c_int32,    c_int32,    c_int32,    c_int32,    POINTER(c_voID_p))# 人脸识别shibIE = dll.ASFDetectFacesshibIE.restype = c_int32shibIE.argtypes = (    c_voID_p,    c_int32,    c_int32,    c_int32,    POINTER(c_ubyte),    POINTER(ASF_MultiFaceInfo))# 特征提取tezheng = dll.ASFFaceFeatureExtracttezheng.restype = c_int32tezheng.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.ASFFaceFeatureComparebIDui.restype = c_int32bIDui.argtypes = (    c_voID_p,    POINTER(ASF_FaceFeature),    POINTER(ASF_FaceFeature),    POINTER(c_float))# 内存控制malloc = libc.mallocfree = libc.freememcpy = libc.memcpymalloc.restype = c_voID_pmalloc.argtypes = (c_size_t, )free.restype = Nonefree.argtypes = (c_voID_p, )memcpy.restype = c_voID_pmemcpy.argtypes = (c_voID_p, c_voID_p, c_size_t)

face_function

from . import face_dllfrom . import face_classfrom ctypes import *import cv2from io import BytesIOHandle = 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 imdef LoaDWebimg(img):    print(img)    sp = img.shape    im = cv2.resize(img, (sp[1] // 4 * 4, sp[0] // 4 * 4))    sp = im.shape    img.data = im    img.wIDth = sp[1]    img.height = sp[0]    return imgdef 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**unfinishdef showimg(im, faces):    print('facenum is:', faces.faceNum)    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 *** 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('./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

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关于ctypes类型转换

C类型	Python类型	ctypes 类型
char	1-character/string	c_char
wchar_t	1-character/Unicode、string	c_wchar
char	int/long	c_byte
char	int/long	c_ubyte
short	int/long	c_short
unsigned short	int/long	c_ushort
int	int/long	c_int
unsigned int	int/long	c_uint
long	int/long	c_long
unsigned long	int/long	c_ulong
long long	int/long	c_longlong
unsigned long long	int/long	c_ulonglong
float	float	c_float
double	float	c_double
char *(NulL terminated)	string or none	c_char_p
wchar_t *(NulL terminated)	unicode or none	c_wchar_p
voID *	int/long or none	c_voID_p

当一个函数期望一个指针作为参数时,可以像这样调用

function_main(byref(parameter))

struct例子
下面的例子是定义一个结构
C语言例子

    struct beer_recipe    {    int amt_barley;    int amt_water;    };

Python例子

class beer_recipe(Structure):    _fIElds_ = [    ("amt_barley", c_int),    ("amt_water", c_int),    ]

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写在后面

arcfaceSDK3.0还加入了很多新功能 比如说1:N的识别等 如果后期继续做相关应该会继续补到function里面

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