def loadOnlineFaceDatebase(users):
# 存放特征库
retzs = {}
if (len(users) > 0):
for user in users:
img = faceUtil.IM()
img.filePath = user.imgUrl
print(img.filePath)
im = faceUtil.loadImage(img)
res, faces1 = faceUtil.asfDetectFaces(im, 0x201)
if res == 0:
print(im.filePath, res, faces1.faceNum, faces1.faceRect)
res1 = faceUtil.asfFaceFeatureExtract(
im, 0x201, faceUtil.getSingleFaceInfo(faces1, 0))
if res1[0] == 0:
print('人脸获取特征成功')
retzs[img.filePath] = res1[1]
else:
print(
error.BaseException(
img.filePath + '人脸获取特征失败：' +
configUtil.getValue('error_code', str(res1[0]))))
else:
print(
error.BaseException(
img.filePath + '人脸检测失败：' +
configUtil.getValue('error_code', str(res))))
return retzs
def loadLocalFaceDatebase(path):
images = os.listdir(path)
# 存放特征库
retzs = {}
if (len(images) > 0):
for image in images:
img = faceUtil.IM()
img.filePath = os.path.join(path, image)
print(img.filePath)
im = faceUtil.loadImage(img)
res, faces1 = faceUtil.asfDetectFaces(im, 0x201)
if res == 0:
print(im.filePath, res, faces1.faceNum, faces1.faceRect)
res1 = faceUtil.asfFaceFeatureExtract(
im, 0x201, faceUtil.getSingleFaceInfo(faces1, 0))
if res1[0] == 0:
print('人脸获取特征成功')
retzs[img.filePath] = res1[1]
else:
print(
error.BaseException(
img.filePath + '人脸获取特征失败：' +
configUtil.getValue('error_code', str(res1[0]))))
else:
print(
error.BaseException(
img.filePath + '人脸检测失败：' +
configUtil.getValue('error_code', str(res))))
return retzs
def getFacesRET(frame):
retz = {}
img = faceUtil.IM()
img.filePath = ""
img.data = frame
im = faceUtil.loadImage(img)
res, faces1 = faceUtil.asfDetectFaces(im, 0x201)
if res == 0:
print(im.filePath, res, faces1.faceNum, faces1.faceRect)
for i in range(faces1.faceNum):
res1 = faceUtil.asfFaceFeatureExtract(
im, 0x201, faceUtil.getSingleFaceInfo(faces1, i))
if res1[0] == 0:
print('人脸获取特征成功')
retz[i] = (faces1.faceRect[i], res1[1])
else:
print(
error.BaseException(
img.filePath + '人脸获取特征失败：' +
configUtil.getValue('error_code', str(res1[0]))))
else:
print(
error.BaseException(img.filePath + '人脸检测失败：' +
configUtil.getValue('error_code', str(res))))
return retz
def getFacesProperty(path):
retz = {}
img = faceUtil.IM()
img.filePath = path
im = faceUtil.loadImage(img)
res, faces1 = faceUtil.asfDetectFaces(im, 0x201)
if res == 0:
print(im.filePath, res, faces1.faceNum, faces1.faceRect)
res1 = faceUtil.asfProcess(im, 0x201, faces1, 56)
if res1 == 0:
for i in range(faces1.faceNum):
print(faceUtil.asfGetAge()[1].ageArray[i])
print(faceUtil.asfGetGender()[1].genderArray[i])
print(faceUtil.asfGetFace3DAngle()[1].roll[i])
else:
print(
error.BaseException(
img.filePath + '人脸屬性检测失败：' +
configUtil.getValue('error_code', str(res1))))
else:
print(
error.BaseException(img.filePath + '人脸检测失败：' +
configUtil.getValue('error_code', str(res))))
# 激活设备
res = faceUtil.asfActivation(APP_ID, SDK_KEY)
if res == 0 or res == 90114:
print("激活成功！", res)
else:
print("激活失败！", res)
# 0xFFFFFFFF, 0x1, 16, 50, 5, byref(Handle))
res, faceEngine = faceUtil.asfInitEngine(0xFFFFFFFF, 0x5, 16, 50, 61)
if res == 0:
print("初始化成功！", res)
else:
print("初始化失败！", res)
image1 = faceUtil.loadImage(img1)
image2 = faceUtil.loadImage(img2)
print('image1: ', image1)
print('image2: ', image2)
# 分开检测以及获取属性
def test():
res1, faces1 = faceUtil.asfDetectFaces(image1, 0x201)
if res1 == 0:
print('image1:', res1, faces1.faceNum, faces1.faceRect)
else:
print('image1:', res1)
res1 = faceUtil.asfFaceFeatureExtract(
image1, 0x201, faceUtil.getSingleFaceInfo(faces1, 0))