python调用虹软2.0(全网首发)-更新中

Posted 2021-01-26 隔壁的王

python调用虹软2.0目前没有任何demo可以参考,自己研究了2个晚上终于把第一步做出来了,使用了opencv来加载和显示图片,龟速更新中

 1 from ctypes import *
 2 #人脸框
 3 class MRECT(Structure):
 4     _fields_=[(u‘left1‘,c_int32),(u‘top1‘,c_int32),(u‘right1‘,c_int32),(u‘bottom1‘,c_int32)]
 5 #版本信息     版本号,构建日期,版权说明
 6 class ASF_VERSION(Structure):
 7     _fields_=[(‘Version‘,c_char_p),(‘BuildDate‘,c_char_p),(‘CopyRight‘,c_char_p)]
 8 #单人人脸信息  人脸狂,人脸角度
 9 class ASF_SingleFaceInfo(Structure):
10     _fields_=[(‘faceRect‘,MRECT),(‘faceOrient‘,c_int32)]
11 #多人人脸信息 人脸框数组,人脸角度数组,人脸数
12 class ASF_MultiFaceInfo(Structure):
13     # _fields_=[(‘faceRect‘,POINTER(MRECT)),(‘faceOrient‘,POINTER( c_int32)),(‘faceNum‘,c_int32)]
14     _fields_=[(u‘faceRect‘,MRECT*50),(u‘faceOrient‘,c_int32*50),(u‘faceNum‘,c_int32)]
15 #人脸特征 人脸特征,人脸特征长度
16 class ASF_FaceFeature(Structure):
17     _fields_=[(‘feature‘,c_byte),(‘featureSize‘,c_int32)]
18 #年龄信息 0=未知 >0则检测出年龄 ,人脸数
19 class ASF_AgeInfo(Structure):
20     _fields_=[(‘ageArray‘,c_int32),(‘num‘,c_int32)]
21 #性别 0=男 1=女 -1未知,人脸数
22 class ASF_GenderInfo(Structure):
23     _fields_=[(‘genderArray‘,c_int32),(‘num‘,c_int32)]

 1 #调用dll需要引入ctypes
 2 from ctypes import *
 3 from face_class import *
 4 import io
 5 from PIL import Image
 6 import cv2
 7 dll=CDLL(‘d:pythonTestFacelibX64libarcsoft_face.dll‘)
 8 Facedll=CDLL(‘d:pythonTestFacelibX64libarcsoft_face_engine.dll‘)
 9 #由于dll是c,所以字符串要做类型转换,否则,激活失败,APPID无效
10 Appkey=c_char_p(b‘自己去注册‘)
11 SDKey=c_char_p(b‘自己去注册‘)
12 # ASF_VERSION a=Facedll.ASFActiviation(Appkey,SDKey)
13 vs=Facedll.ASFActivation
14 #激活函数返回0,初始化成功,返回90114已激活,其他则为失败 ,重新激活需删除asf_install.dat 文件
15 ret=Facedll.ASFActivation(Appkey,SDKey)
16 print(‘激活:‘,ret)
17 #初始化引擎
18 ASF_OP_0_ONLY = 0x1
19 ASF_DETECT_MODE_VIDEO = 0x00000000
20 ASF_DETECT_MODE_IMAGE = 0xFFFFFFFF
21 r=c_void_p()
22 #初始化引擎
23 a=Facedll.ASFInitEngine(c_long(ASF_DETECT_MODE_IMAGE),c_int32(ASF_OP_0_ONLY),c_int32(16),c_int32(50),c_int8(ASF_OP_0_ONLY),byref(r))
24 print(‘初始化‘,a)
25 print(‘初始化返回‘,r)
26 c_ubyte_p = POINTER(c_ubyte) 
27 ASVL_PAF_I420 = 0x601
28 ASVL_PAF_RGB24_B8G8R8 = 0x201
29 img1=cv2.imread(‘e:/5.jpg‘)
30 sp=img1.shape
31 #调整图片大小,正好是4的倍数,否则会报错
32 img=cv2.resize(img1,(sp[1]//4*4,sp[0]//4*4))
33 # img=cv2.cvtColor(img,cv2.COLOR_BGR2YUV_I420)
34 # img=cv2.cvtColor(img,cv2.COLOR_BGRA2YUV_I420)
35 # img=cv2.cvtColor(img,cv2.COLOR_BGR2YUV_IYUV)
36 sp=img.shape
37 wd=sp[1]
38 he=sp[0]
39 print(‘宽高‘,wd,he)
40 # cv2.imshow(‘1‘,img)
41 # cv2.waitKey(0)
42 #内存指针返回ASF_MultiFaceInfo类型--回调函数
43 tz=POINTER(ASF_MultiFaceInfo)()
44 #图片转换成字字节
45 b=bytes(img)
46 #强转为C++的byte类型
47 d=cast(b,c_ubyte_p)
48 #调用多人人脸识别
49 a=Facedll.ASFDetectFaces(r,c_int32(wd),c_int32(he),c_int32(ASVL_PAF_RGB24_B8G8R8),d,byref(tz))
50 print(‘返回特征‘,tz)
51 print(‘返回值‘,a)
52 if a==0:
53     tezheng=tz.contents
54     print(tezheng.faceNum)
55     for i in range(0,50):
56         # cv2.rectangle(img,(tezheng.faceRect[1].left1,tezheng.faceRect[1].top1),(tezheng.faceRect[1].right1,tezheng.faceRect[1].bottom1),(255,0,0),2)
57         cv2.rectangle(img,(tezheng.faceRect[i].left1,tezheng.faceRect[i].top1),(tezheng.faceRect[i].right1,tezheng.faceRect[i].bottom1),(255,0,0),2)
58     cv2.imshow(‘1‘,img)
59     cv2.waitKey(0)