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)