public void set_detect_images(List <Bitmap> bitmap_list)
{
// transform images
BatchAidiImage aidi_images = new BatchAidiImage();
//AidiImage image_t = new AidiImage();
//image_t.read_image("D:/aidi_benchmark/location_sample_mobilephone/Location_0/source/1.bmp");
for (int i = 0; i < bitmap_list.Count; i++)
{
Bitmap current_bitmap = bitmap_list[i];
AidiImage image = new AidiImage();
string bit_number = current_bitmap.PixelFormat.ToString();
int channel_number = 1;
if (bit_number.Contains("24")) // 24位即为3通道，8位为1通道
{
channel_number = 3;
}
else
{
channel_number = 1;
}
int stride;
DateTime dt1 = System.DateTime.Now;
byte[] transform_image = GetBGRValues(bitmap_list[i], out stride);
image.char_ptr_to_mat(transform_image, current_bitmap.Height, current_bitmap.Width, channel_number);
aidi_images.add_image(image);
DateTime dt2 = System.DateTime.Now;
TimeSpan ts = dt2.Subtract(dt1);
Console.WriteLine("wrap image time time {0}", ts.TotalMilliseconds);
Console.WriteLine(aidi_images.get_images_size());
}
aidi_.set_test_batch_image(aidi_images);
}
/// <summary>
/// 将单张图片灌入Aidi对象
/// </summary>
/// <param name="bitmap"></param>
/// <returns></returns>
public BatchAidiImage GetBatch_images(Bitmap bitmap)
{
BatchAidiImage batch_images = new BatchAidiImage();
int channelNum = Image.GetPixelFormatSize(bitmap.PixelFormat) / 8;//判断8位、24位、32位
int stride;
byte[] data = GetBGRValues(bitmap, out stride);
//转换图片格式，供aidi使用
AidiImage image = new AidiImage();
image.char_ptr_to_mat(data, bitmap.Height, bitmap.Width, channelNum);
batch_images.add_image(image);
return(batch_images);
}
public List <string> Run(List <Bitmap> bitmap_list)
{
if (!is_ready)
{
throw new Exception("模型未初始化");
}
List <string> result_list = new List <string>();
// transform images
BatchAidiImage aidi_images = new BatchAidiImage();
//AidiImage image_t = new AidiImage();
//image_t.read_image("D:/aidi_benchmark/location_sample_mobilephone/Location_0/source/1.bmp");
for (int i = 0; i < bitmap_list.Count; i++)
{
Bitmap current_bitmap = bitmap_list[i];
AidiImage image = new AidiImage();
string bit_number = current_bitmap.PixelFormat.ToString();
int channel_number = 1;
if (bit_number.Contains("24")) //24位即为3通道，8位为1通道
{
channel_number = 3;
}
else
{
channel_number = 1;
}
int stride;
DateTime dt1 = System.DateTime.Now;
byte[] transform_image = GetBGRValues(bitmap_list[i], out stride);
image.char_ptr_to_mat(transform_image, current_bitmap.Height, current_bitmap.Width, channel_number);
aidi_images.add_image(image);
DateTime dt2 = System.DateTime.Now;
TimeSpan ts = dt2.Subtract(dt1);
Console.WriteLine("wrap image time time {0}", ts.TotalMilliseconds);
Console.WriteLine(aidi_images.get_images_size());
}
aidi_.set_test_batch_image(aidi_images);
StringVector results = aidi_.get_detect_result();
//image_t.draw_result(results[0]);
//image_t.show_image(0);
for (int i = 0; i < results.Count; i++)
{
result_list.Add(results[i]);
}
//string result = aidi_.start_test(image_t);
//result_list.Add(result);
return(result_list);
}
/// <summary>
/// 将批量图片灌入Aidi对象
/// </summary>
/// <param name="bitmaps"></param>
/// <returns></returns>
public BatchAidiImage GetBatch_images(List <Bitmap> bitmaps)
{
BatchAidiImage batch_images = new BatchAidiImage();
int _count = bitmaps.Count;
for (int i = 0; i < _count; i++)
{
int channelNum = Image.GetPixelFormatSize(bitmaps[i].PixelFormat) / 8;//判断8位、24位、32位
int stride;
byte[] data = GetBGRValues(bitmaps[i], out stride);
//转换图片格式，供aidi使用
AidiImage image = new AidiImage();
image.char_ptr_to_mat(data, bitmaps[i].Height, bitmaps[i].Width, channelNum);
batch_images.add_image(image);
}
return(batch_images);
}
