python调用虹软2.0第二版

第一版踩了无数的坑,终于第二版把坑全添了,这次更新可以正常获取人脸数,角度,代码可读性更高,继续更新中

第三版已发出 https://www.cnblogs.com/wxt51/p/10125460.html

face_class.py

 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')

 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))

main.py

 import face_dll,face_class

 from ctypes import *

 import cv2

 Appkey=b''

 SDKey=b''

 Handle=c_void_p() #全局句柄

 c_ubyte_p = POINTER(c_ubyte)

 # 激活函数

 def JH():

     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))

     return ret

 # 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))

     # print('ret',faces.faceNum)

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

     #     rr=faces.faceRect[i]

     #     print('range',rr.left1)

     #     print('jd',faces.faceOrient[i])

     if ret==0:

         return faces

     else:

         return ret

 # 激活

 ret=JH()

 if ret==0 or ret==90114:

     print('激活成功:',ret)

 else:

     print('激活失败:',ret)

     pass

 # 初始化

 ret=CSH()

 if ret==0:

     print('初始化成功:',ret,'句柄',Handle)

 else:

     print('初始化失败:',ret)

 # 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)

 # 加载图片

 im=face_class.IM()

 im.filepath='e:/4.jpg'

 im=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=RLSB(im)

 if ret==-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)

巴特西

python调用虹软2.0第二版

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