kms-backend/arcsoft/struct_info.py

import sys
from ctypes import *
from typing import List

platform = sys.platform

if platform == "win32":
    dllc = cdll.msvcrt
elif platform == "linux":
    dllc = CDLL("libc.so.6")
else:
    raise Exception("Unsupported operating platform={}".format(platform))


# 激活文件信息
class ASF_ActiveFileInfo(Structure):
    startTime: bytes
    endTime: bytes
    platform: bytes
    sdkType: bytes
    appId: bytes
    sdkKey: bytes
    sdkVersion: bytes
    fileVersion: bytes
    _fields_ = [('startTime', c_char_p),  # SDK开始时间
                ('endTime', c_char_p),  # SDK截止时间
                ('platform', c_char_p),  # 平台版本
                ('sdkType', c_char_p),  # SDK 类型
                ('appId', c_char_p),  # APPID
                ('sdkKey', c_char_p),  # SDKKEY
                ('sdkVersion', c_char_p),  # SDK 版本号
                ('fileVersion', c_char_p)  # 激活文件版本号
                ]

    def __str__(self):
        return "ASF_ActiveFileInfo(startTime={},endTime={},platform={},sdkType={},appId={},sdkKey={},sdkVersion={},fileVersion={})" \
            .format(self.startTime, self.endTime, self.platform, self.sdkType, self.appId, self.sdkKey, self.sdkVersion,
                    self.fileVersion)


# 人脸框 信息
class MRECT(Structure):
    left: int
    top: int
    right: int
    bottom: int
    _fields_ = [('left', c_int32),
                ('top', c_int32),
                ('right', c_int32),
                ('bottom', c_int32)]

    def __repr__(self):
        return self.__str__()

    def __str__(self):
        return "MRECT(top={},left={},right={},bottom={})".format(self.top, self.left, self.right, self.bottom)


# 单人脸信息
class ASF_SingleFaceInfo(Structure):
    faceRect: List[MRECT]
    faceOrient: int
    _fields_ = [('faceRect', MRECT),  # 人脸框
                ('faceOrient', c_int32)  # 人脸角度
                ]

    def __str__(self):
        return "ASF_SingleFaceInfo(faceRect={}，faceOrient={})".format(self.faceRect, self.faceOrient)


# 多人脸信息
class ASF_MultiFaceInfo(Structure):
    faceRect: List[MRECT]
    faceOrient: List[int]
    faceNum: int
    faceID: List[int]
    _fields_ = [('faceRect', POINTER(MRECT)),  # 人脸框数组
                ('faceOrient', POINTER(c_int32)),  # 人脸角度数组
                ('faceNum', c_int32),  # 检测到的人脸个数
                ('faceID', POINTER(c_int32))  # 在 VIDEO 模式下有效，IMAGE 模式下为空
                ]

    def __str__(self):
        faceRect = []
        faceOrient = []
        faceID = []
        for i in range(self.faceNum):
            faceRect.append(self.faceRect[i])
            faceOrient.append(self.faceOrient[i])
            if self.faceID:  # VIDEO模式下faceID为空
                faceID.append(self.faceID[i])
        return "ASF_MultiFaceInfo(faceNum={},faceID={},faceOrient={},faceRect={})".format(self.faceNum, faceID,
                                                                                          faceOrient, faceRect)


# 人脸特征信息
class ASF_FaceFeature(Structure):
    feature: bytes
    featureSize: int

    _fields_ = [('feature', c_void_p),  # 人脸特征
                ('featureSize', c_int32)  # 人脸特征长度
                ]

    def set_feature(self, feature: bytes, featureSize=1032):
        """
        设置 特征值对象
        :param feature: 对象的二进制内容
        :param featureSize: 二进制长度
        :return: None
        """
        self.featureSize = featureSize
        self.feature = dllc.malloc(featureSize)
        dllc.memcpy(self.feature, feature, featureSize)

    def get_feature_bytes(self):
        return string_at(self.feature, self.featureSize)

    def __str__(self):
        return ("ASF_FaceFeature(featureSize={} feature={})".format(self.featureSize,
                                                                    string_at(self.feature, self.featureSize)))


# 年龄信息
class ASF_AgeInfo(Structure):
    ageArray: List[int]
    num: int
    _fields_ = [('ageArray', POINTER(c_int32)),  # 0:未知; >0:年龄
                ('num', c_int32)  # 检测的人脸个数
                ]

    def __str__(self):
        if self.num:
            return "ASF_AgeInfo(num={},ageArray={})".format(self.num, [self.ageArray[i] for i in range(self.num)])
        else:
            return "ASF_AgeInfo(num={},ageArray={})".format(self.num, None)


# 性别信息
class ASF_GenderInfo(Structure):
    genderArray: List[int]
    num: int
    _fields_ = [('genderArray', POINTER(c_int32)),  # 0:男性; 1:女性; -1:未知
                ('num', c_int32)  # 检测的人脸个数
                ]

    def __str__(self):
        if self.num:
            return "ASF_GenderInfo(num={},genderArray={})".format(self.num,
                                                                  [self.genderArray[i] for i in range(self.num)])
        else:
            return "ASF_GenderInfo(num={},genderArray={})".format(self.num, None)


# 3D角度信息
class ASF_Face3DAngle(Structure):
    roll: List[float]
    yaw: List[float]
    pitch: List[float]
    status: List[int]
    num: int
    _fields_ = [('roll', POINTER(c_float)),  # 横滚角
                ('yaw', POINTER(c_float)),  # 偏航角
                ('pitch', POINTER(c_float)),  # 俯仰角
                ('status', POINTER(c_int32)),  # 0:正常; 非 0:异常
                ('num', c_int32)  # 检测的人脸个数
                ]

    def __str__(self):
        status = []
        roll = []
        yaw = []
        pitch = []
        for i in range(self.num):
            status.append(self.status[i])
            roll.append(self.roll[i])
            yaw.append(self.yaw[i])
            pitch.append(self.pitch[i])

        return "ASF_Face3DAngle(num={} status{},roll={},yaw{},pitch{})".format(self.num, status, roll, yaw, pitch)


# 活体信息
class ASF_LivenessInfo(Structure):
    isLive: List[int]
    num: int
    _fields_ = [('isLive', POINTER(c_int32)),  # 0:非真人；1:真人；-1：不确定；-2:传入人脸数>1
                ('num', c_int32)  # 检测的人脸个数
                ]

    def __str__(self):
        if self.num:
            return "ASF_LivenessInfo(num={},isLive={})".format(self.num, [self.isLive[0]])
        else:
            return "ASF_LivenessInfo(num={},isLive={})".format(self.num, None)


# 活体置信度
class ASF_LivenessThreshold(Structure):
    thresholdmodel_BGR: float
    thresholdmodel_IR: float
    _fields_ = [('thresholdmodel_BGR', c_float),  # 0:非真人；1:真人；-1：不确定；-2:传入人脸数>1
                ('thresholdmodel_IR', c_float)  # 检测的人脸个数
                ]

    def __str__(self):
        return "ASF_LivenessThreshold(thresholdmodel_BGR={},thresholdmodel_IR={})".format(self.thresholdmodel_BGR,
                                                                                          self.thresholdmodel_IR)