public static dynamic Record3Ex(string[] paths)
{
dynamic ddata = new System.Dynamic.ExpandoObject();
List <byte[]> bss = new List <byte[]>();
for (int i = 0; i < paths.Length; i++)
{
try
{
bss.Add(File.ReadAllBytes(paths[i]));
}
catch
{
}
}
var image_c = Identification.BytesLinkRecord3456(bss.ToArray());
//为眼压剪裁
var image_cc = Identification.CutBytes(image_c, Identification.BytesToBitmap(image_c).Width, 500, 0, 0);
#if DEBUG
DEBUG_saveImage(image_cc);
#endif
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.BytesToBitmap(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.CutBitmap(Identification.BytesToBitmap(image_c), width, height, top, left);
#if DEBUG
DEBUG_saveImage(newB);
#endif
var var_firstwidth = 125;
var newC = Identification.ReArrange(Identification.BitmapToBytes(newB), new List <(int width, int height, int top, int left)> {
(var_firstwidth, height, 0, 0), (+(width - var_firstwidth * 2) / 2 - var_firstwidth * 1 / 3, height, 0, var_firstwidth), ((width - var_firstwidth) / 2, height, 0, var_firstwidth * 2 / 3 + (width - var_firstwidth * 2) / 2)
});
#if DEBUG
DEBUG_saveImage(newC);
#endif
JObject jb;
try
{
jb = Identification.IdentifyImage(newC, ApiVersion.AccurateBasic);
}
catch (NoApiTimesException e)
{
throw e;
}
//StringWriter strWriter = new StringWriter();
//StringBuilder sb = strWriter.GetStringBuilder();
//string words_all = "";
//foreach (var jd in jb["words_result"])
//{
// string words = jd["words"].ToString();
// sb.Insert(sb.Length, words);
//}
//words_all = sb.ToString();
var regex_num = new Regex(@"\d+(.\d+)?");
try
{
ddata.Right_Intraocular_Pressure = Convert.ToDouble(regex_num.Match(jb["words_result"][1]["words"].ToString()).Value);
}
catch (Exception e)
{
}
try
{
ddata.Left_Intraocular_Pressure = Convert.ToDouble(regex_num.Match(jb["words_result"][2]["words"].ToString()).Value);
}
catch (Exception e)
{
}
//var regstr = @"(\d+)[^\d]+(\d+)";
//var a = Regex.Matches(words_all, regstr);
//ddata.Right_Intraocular_Pressure = Convert.ToDouble(a[0].Groups[0].Value);
//ddata.Left_Intraocular_Pressure = Convert.ToDouble(a[0].Groups[1].Value);
//var a = Regex.Matches(words_all, @"(\d+)");
return(ddata);
}
public static dynamic Record2(string path)
{
dynamic ddata = new System.Dynamic.ExpandoObject();
var jb = Identification.IdentifyImage(path, ApiVersion.General);
int top = 0;
int left = 0;
int height = 60;
int width = 1000;
foreach (var jd in jb["words_result"])
{
string words = jd["words"].ToString();
if (Convert.ToInt32(words.Contains("体温")) + Convert.ToInt32(words.Contains("脉搏")) + Convert.ToInt32(words.Contains("呼吸")) + Convert.ToInt32(words.Contains("血压")) > 2)
{
top = Convert.ToInt32(jd["location"]["top"].ToString());
left = Convert.ToInt32(jd["location"]["left"].ToString());
height = Convert.ToInt32(jd["location"]["height"].ToString());
width = Convert.ToInt32(jd["location"]["width"].ToString());
break;
}
}
Bitmap b = new Bitmap(path);
var newB = Identification.CutBitmap(b, width, height, top, left);
#if DEBUG
DEBUG_saveImage(newB);
#endif
var newImage = BitmapToBytes(newB);
//var newImage_g = Identification.BytesFilter(newImage,50);
var newJb = Identification.IdentifyImage(newImage, ApiVersion.AccurateBasic);
foreach (var jd in newJb["words_result"])
{
string words = jd["words"].ToString();
if (words.Contains("体温") || words.Contains("脉搏") || words.Contains("呼吸") || words.Contains("血压"))
{
string regex = @"-?(([1-9]\d*)|0)(\.\d*[1-9])?";
var g = Regex.Matches(words, @"-?(([1-9]\d*)|0)(\.\d*[1-9])?");
ddata.Temperature = Convert.ToDouble(g[0].Value);
ddata.Pulse = Convert.ToDouble(g[1].Value);
ddata.Breath = Convert.ToDouble(g[2].Value);
try
{
if (words.Contains("血压") && g.Count > 4)
{
ddata.Blood_Pressure_Systolic = Convert.ToDouble(g[3].Value);
ddata.Blood_Pressure_Diastolic = Convert.ToDouble(g[4].Value);
}
}
catch (Exception e)
{
new NoFindContextException("找不到血压");
}
break;
}
}
return(ddata);
}