/// <summary>
/// 厘定要切割的部分，并重新排列。基类默认方法为直接把所有图片拼接起来。
/// </summary>
/// <param name="reset">图片集</param>
public virtual void CutPicture(ResetPictures reset)
{
for (int index_originImage = 0; index_originImage < reset.originImages.Count; index_originImage++)
{
(var temp_w, var temp_h) = Identification.GetBytesSize(reset.originImages[index_originImage]);
reset.ranges.Add((0, index_originImage, temp_w, temp_h, 0, 0));
}
reset.ReArray();
}
public override void CutPicture(ResetPictures reset)
{
var image_c = Identification.MegerBytesRow(reset.originImages);
var image_cc = Identification.CutBytes(image_c, Identification.GetBytesSize(image_c).width, 500, 0, 0);
JObject jb_ad;
try
{
jb_ad = Identification.IdentifyImage(image_cc, ApiVersion.General);
}
catch (NoApiTimesException e)
{
throw e;
}
int top = 0;
int left = 0;
int height = 60;
int width = Identification.GetBytesSize(image_c).width;
foreach (var jd in jb_ad["words_result"])
{
string words = jd["words"].ToString();
if (words.Contains("眼压") || (words.Contains("眼") && words.Contains("mmHg")))
{
top = Convert.ToInt32(jd["location"]["top"].ToString());
left = Convert.ToInt32(jd["location"]["left"].ToString());
height = Convert.ToInt32(jd["location"]["height"].ToString());
break;
}
}
var newB = Identification.CutBytes(image_cc, width, height, top, left);
//var var_firstwidth = 125;
var cbs = Identification.BytesCutColumn(newB, 7, 0.1);
var rei = Identification.MegerBytesRow(new List <byte[]> {
Identification.MegerBytesColumn(new List <byte[]> {
cbs[0], cbs[1]
}), cbs[2], cbs[3]
});
reset.rearrayImages.Add(rei);
}
