Exemple #1
0
        /// <summary>
        ///     获取面部检测
        /// </summary>
        /// <param name="appId">应用ID</param>
        /// <param name="sdkKey">应用Key</param>
        /// <param name="age">年龄检测器</param>
        /// <param name="gender">性别检测器</param>
        /// <param name="useTracking">如果设置为True,则启用面部跟踪,如果False,则启用面部检测</param>
        /// <param name="preAllocMemSize">缓存区内存大小(byte)</param>
        /// <param name="orientPriority">期望的脸部检测角度范围</param>
        /// <param name="scale">
        ///     用于数值表示的最小人脸尺寸有效值范围[2,50] 推荐值 16(面部跟踪的取值范围为[2,16])。该尺寸是人脸相对于所在图片的长边的占比。例如,如果用户想检测到的最小人脸尺寸是图片长度的
        ///     1/8,那么这个 nScale 就应该设置为 8
        /// </param>
        /// <param name="maxFaceNumber">用户期望引擎最多能检测出的人脸数有效值范围[1,50](面部跟踪的取值范围为[1,20])</param>
        /// <returns></returns>
        public static FaceLocator GetLocator(string appId, string sdkKey, FaceExtra age, FaceExtra gender, bool useTracking = true,
                                             int preAllocMemSize           = 41943040,
                                             OrientPriority orientPriority = OrientPriority.OrientHigherExt,
                                             int scale = 16, int maxFaceNumber = 10)
        {
            FaceLocator locator;

            if (useTracking)
            {
                locator = new FaceTracking(appId, sdkKey, age, gender, false, preAllocMemSize);
            }
            else
            {
                locator = new FaceDetection(appId, sdkKey, age, gender, false, preAllocMemSize);
            }

            var code = locator.Initialize(orientPriority, scale, maxFaceNumber);

            if (code != ErrorCode.Ok)
            {
                throw new FaceException(code);
            }

            return(locator);
        }
 /// <summary>
 /// 初始化人脸检测
 /// </summary>
 /// <param name="appId">应用ID</param>
 /// <param name="sdkKey">应用Key</param>
 /// <param name="age">年龄识别模块</param>
 /// <param name="gender">性别识别模块</param>
 /// <param name="autoInitWithDefaultParameter">如果设置为True,将自动采用默认参数初始化引擎</param>
 /// <param name="preAllocMemSize">缓存区内存大小(byte)</param>
 public FaceTracking(string appId, string sdkKey, FaceExtra age, FaceExtra gender,
                     bool autoInitWithDefaultParameter = true,
                     int preAllocMemSize = 41943040) : base(appId, sdkKey, age, gender, autoInitWithDefaultParameter,
                                                            preAllocMemSize)
 {
 }
Exemple #3
0
 /// <summary>
 ///     获取面部检测的人脸跟踪,此定位方式速度较快,适合视频类的快速定位,但是精度相对较低(目前该定位器存在问题,官方的DEMO都有问题)
 /// </summary>
 /// <param name="appId">应用ID</param>
 /// <param name="sdkKey">应用Key</param>
 /// <param name="age">年龄检测器</param>
 /// <param name="gender">性别检测器</param>
 /// <param name="preAllocMemSize">缓存区内存大小(byte)</param>
 /// <param name="orientPriority">期望的脸部检测角度范围</param>
 /// <param name="scale">
 ///     用于数值表示的最小人脸尺寸有效值范围[2,16] 推荐值 16。该尺寸是人脸相对于所在图片的长边的占比。例如,如果用户想检测到的最小人脸尺寸是图片长度的 1/8,那么这个 nScale 就应该设置为
 ///     8
 /// </param>
 /// <param name="maxFaceNumber">用户期望引擎最多能检测出的人脸数有效值范围[1,20]</param>
 /// <returns></returns>
 public static FaceLocator GetTrackingLocator(string appId, string sdkKey, FaceExtra age, FaceExtra gender, int preAllocMemSize = 41943040,
                                              OrientPriority orientPriority = OrientPriority.OrientHigherExt,
                                              int scale = 16, int maxFaceNumber = 10)
 {
     return(GetLocator(appId, sdkKey, age, gender, true, preAllocMemSize, orientPriority, scale, maxFaceNumber));
 }