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))
print('image1:', res1)
# 获取人脸属性
# print(1 | 4)
# print(8 | 16 | 32)
res = faceUtil.asfProcess(image1, 0x201, faces1, 56)
print(res)
print(faceUtil.asfGetAge()[1].ageArray[0])
print(faceUtil.asfGetGender()[1].genderArray[0])
print(faceUtil.asfGetFace3DAngle()[1].roll[0])
res2, faces2 = faceUtil.asfDetectFaces(image2, 0x201)
if res2 == 0:
print('image2:', res2, faces2.faceNum, faces2.faceRect)
else:
print('image2:', res2)
res2 = faceUtil.asfFaceFeatureExtract(
image2, 0x201, faceUtil.getSingleFaceInfo(faces2, 0))
print('image2:', res2)
# 人脸比对
res, score = faceUtil.asfFaceFeatureCompare(res1[1], res2[1])
print(res, score)
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 test1():
# 检测人脸
res1, faces1 = faceUtil.asfDetectFaces(image1, 0x201)
if res1 == 0:
print('image1:', res1, faces1.faceNum, faces1.faceRect)
else:
print('image1:', res1)
res2, faces2 = faceUtil.asfDetectFaces(image2, 0x201)
if res2 == 0:
print('image2:', res2, faces2.faceNum, faces2.faceRect)
else:
print('image2:', res2)
# 测试多张人脸如何获取值
# img3 = faceUtil.IM()
# img3.filePath = 'E:/PycharmProjects/face_recognition_test/arcsoft_all/aaa.jpeg'
# image3 = faceUtil.loadImage(img3)
# res3, faces3 = faceUtil.asfDetectFaces(image3, 0x201)
# print(faces3.faceOrient[1], faces3.faceRect[0])
# 获取人脸特征， 先单脸
# res1, detect1 = faceUtil.asfFaceFeatureExtract(image1, 0x201, face_detect_sdk.ASF_SingleFaceInfo(faces1.faceRect.contents, faces1.faceOrient.contents))
res1 = faceUtil.asfFaceFeatureExtract(
image1, 0x201, faceUtil.getSingleFaceInfo(faces1, 0))
print('image1:', res1)
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