/// <summary>
/// 检测通过图片路径
/// </summary>
/// <param name="filename"></param>
/// <param name="bbox_T_Container"></param>
/// <param name="thresh"></param>
/// <returns></returns>
public int Detect(string filename, ref bbox_t_container bbox_T_Container, float thresh = (float)0.01)
{
lock (this)
{
switch (AiId)
{
case 1: return(AiSdk1.detect_image_path(filename, ref bbox_T_Container, thresh));
case 2: return(AiSdk2.detect_image_path(filename, ref bbox_T_Container, thresh));
case 3: return(AiSdk3.detect_image_path(filename, ref bbox_T_Container, thresh));
case 4: return(AiSdk4.detect_image_path(filename, ref bbox_T_Container, thresh));
case 5: return(AiSdk5.detect_image_path(filename, ref bbox_T_Container, thresh));
case 6: return(AiSdk6.detect_image_path(filename, ref bbox_T_Container, thresh));
case 7: return(AiSdk7.detect_image_path(filename, ref bbox_T_Container, thresh));
case 8: return(AiSdk8.detect_image_path(filename, ref bbox_T_Container, thresh));
case 9: return(AiSdk9.detect_image_path(filename, ref bbox_T_Container, thresh));
case 10: return(AiSdk10.detect_image_path(filename, ref bbox_T_Container, thresh));
case 11: return(AiSdk11.detect_image_path(filename, ref bbox_T_Container, thresh));
case 12: return(AiSdk12.detect_image_path(filename, ref bbox_T_Container, thresh));
default: return(-1);
}
}
}
/// <summary>
/// 检测函数，通过bitmap
/// </summary>
/// <param name="data"></param>
/// <param name="data_length"></param>
/// <param name="bbox_T_Container"></param>
/// <param name="thresh"></param>
/// <returns></returns>
public int Detect(byte[] data, long data_length, ref bbox_t_container bbox_T_Container, float thresh = (float)0.01)
{
lock (this)
{
switch (AiId)
{
case 1: return(AiSdk1.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 2: return(AiSdk2.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 3: return(AiSdk3.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 4: return(AiSdk4.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 5: return(AiSdk5.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 6: return(AiSdk6.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 7: return(AiSdk7.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 8: return(AiSdk8.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 9: return(AiSdk9.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 10: return(AiSdk10.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 11: return(AiSdk11.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
case 12: return(AiSdk12.detect_opencv_mat(data, data_length, ref bbox_T_Container, thresh));
default: return(-1);
}
}
}
static void Main(string[] args)
{
var prefix = "E:\\VSProjects\\darknet\\build\\darknet\\x64\\";
init(prefix + "cfg\\yolov3-tiny.cfg", prefix + "yolov3-tiny.weights", 0);
var btc = new bbox_t_container();
detect_image("E:\\Pictures\\dog.jpg", ref btc);
foreach (var box in btc.candidates)
{
Console.Write(box.ToString());
}
dispose();
}
public static extern int detect_mat(IntPtr data, UIntPtr data_length, ref bbox_t_container container);
public static extern int detect_image(string filename, ref bbox_t_container container);
