/// <summary>
/// 调用通用文字识别（含位置高精度版）,图片参数为本地图片
/// </summary>
/// <param name="path">图片路径</param>
/// <returns>list集合一行一个值</returns>
public List <string> Accurate(string path)
{
List <string> contents = new List <string>();
byte[] image = File.ReadAllBytes("图片文件路径");
// 调用通用文字识别（含位置高精度版），可能会抛出网络等异常，请使用try/catch捕获
JObject result = client.Accurate(image);
// 如果有可选参数
Dictionary <string, object> options = new Dictionary <string, object>();
options.Add("recognize_granularity", "big");
options.Add("detect_direction", "true");
options.Add("vertexes_location", "true");
options.Add("probability", "true");
// 带参数调用通用文字识别（含位置高精度版）
result = client.Accurate(image, options);
string content = result["words_result"].ToString();
JArray jarray = JArray.Parse(content);
for (int i = 0; i < jarray.Count; i++)
{
JObject jobject = JObject.Parse(jarray[i].ToString());
string hang = jobject["words"].ToString();
contents.Add(hang);
}
return(contents);
}
/// <summary>
/// 通用文字识别（含位置高精度版）
/// </summary>
/// <param name="byteArr_Image"></param>
/// <returns></returns>
public static OCRResult Excute_Accurate(byte[] byteArr_Image)
{
OCRResult r = null;
try
{
var options = new Dictionary <string, object>
{
{ "recognize_granularity", "big" }, // 是否定位单字符位置，big：不定位单字符位置，默认值；small：定位单字符位置
{ "detect_direction", "false" }, // 是否检测图像朝向，默认不检测，即：false。朝向是指输入图像是正常方向、逆时针旋转90/180/270度。可选值包括:
{ "vertexes_location", "false" }, // 是否返回文字外接多边形顶点位置，不支持单字位置。默认为false
{ "probability", "false" } // 是否返回识别结果中每一行的置信度
};
Ocr client = new Ocr(ApiKey, SecretKey);
Newtonsoft.Json.Linq.JObject ocrResult = client.Accurate(image: byteArr_Image, options: options);
r = getOCRResult(ocrResult);
}
catch (Exception ex)
{
r = new OCRResult();
r.IsComplete = false;
r.ExceptionInfo = ex.GetFullInfo();
r.IsSuccess = false;
}
return(r);
}
protected override void Execute(CodeActivityContext context)
{
string path = FileName.Get(context);
string API_KEY = APIKey.Get(context);
string SECRET_KEY = SecretKey.Get(context);
img = image.Get(context);
try
{
if (path != null)
{
by = SaveImage(path);
}
else
{
by = ConvertImageToByte(img);
}
var client = new Ocr(API_KEY, SECRET_KEY);
//修改超时时间
client.Timeout = 60000;
//参数设置
var options = new Dictionary <string, object>
{
{ "recognize_granularity", recognize_granularity },
{ "detect_direction", detect_direction.ToString().ToLower() },
{ "vertexes_location", vertexes_location.ToString().ToLower() },
{ "probability", probability.ToString().ToLower() }
};
//带参数调用通用文字识别（含位置信息高精度版）
string result = client.Accurate(by, options).ToString();
Result.Set(context, result);
}
catch (Exception e)
{
SharedObject.Instance.Output(SharedObject.enOutputType.Error, "有一个错误产生", e.Message);
}
}
private void button6_Click(object sender, EventArgs e)
{
if (textBox1.Text == null || textBox1.Text == "")
{
MessageBox.Show("请选择图片");
return;
}
var image = File.ReadAllBytes(textBox1.Text);
// 调用通用文字识别, 图片参数为本地图片，可能会抛出网络等异常，请使用try/catch捕获
var options = new Dictionary <string, object>();
JObject result = null;
if (checkBox2.Checked)
{
options.Add("detect_direction", "true");
}
if (radioButton2.Checked) //判断精度
{
if (checkBox1.Checked) //判断位置
{
result = client.Accurate(image, options); //高精度有位置
}
else
{
result = client.AccurateBasic(image, options);//高精度没有位置
}
}
else
{
if (checkBox1.Checked) //判断位置
{
result = client.General(image, options); //普通精度有位置
}
else
{
result = client.GeneralBasic(image, options); //普通精度没有位置
}
}
String printresult = "";
//输出结果
JArray arr = (JArray)result["words_result"];
if (result["direction"] != null)
{
printresult = printresult + "direction:" + result["direction"] + "\n";
}
foreach (var item in arr) //循环获取值
{
var jo = (JObject)item;
if (jo["location"] != null)
{
printresult = printresult + "left:" + Convert.ToString(jo["location"]["left"])
+ "|top:" + Convert.ToString(jo["location"]["top"])
+ "|width:" + Convert.ToString(jo["location"]["width"])
+ "|height:" + Convert.ToString(jo["location"]["height"]) + "\n";
}
if (jo["words"] != null)
{
printresult = printresult + Convert.ToString(jo["words"]) + "\n";
}
if (jo["chars"] != null)
{
JArray chararr = (JArray)jo["chars"];
foreach (var chars in chararr) //循环获取值
{
if (chars["location"] != null)
{
printresult = "\t\t" + printresult + "left:" + Convert.ToString(chars["location"]["left"])
+ "|top:" + Convert.ToString(chars["location"]["top"])
+ "|width:" + Convert.ToString(chars["location"]["width"])
+ "|height:" + Convert.ToString(chars["location"]["height"]) + "\n";
}
printresult = "\t\t" + printresult + Convert.ToString(chars["char"]) + "\n";
}
}
}
richTextBox1.Text = printresult;
}
