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CtrEditor
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Agregado de PaddleOCR y correccion de TagPattern

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Miguel 2025-03-27 14:50:51 +01:00
parent 98c5f2e6ff
commit 736068619a
27 changed files with 1171 additions and 35 deletions
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8
CtrEditor.csproj
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@ -89,6 +89,7 @@
<PackageReference Include="Microsoft.Xaml.Behaviors.Wpf" Version="1.1.135" />
<PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
<PackageReference Include="Ookii.Dialogs.Wpf" Version="5.0.1" />
<PackageReference Include="PaddleOCRSharp" Version="4.5.0.1" />
<PackageReference Include="Tesseract" Version="5.2.0" />
<PackageReference Include="Tesseract.Drawing" Version="5.2.0" />
</ItemGroup>
@ -172,4 +173,11 @@
</Content>
</ItemGroup>
<ItemGroup>
<Folder Include="paddleocr\cls\inference\" />
<Folder Include="paddleocr\det\inference\" />
<Folder Include="paddleocr\keys\" />
<Folder Include="paddleocr\rec\inference\" />
</ItemGroup>
</Project>

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Documentation/PaddleOCRSharpAPI.txt Normal file
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623
Documentation/paddleocr-api.md Normal file
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@ -0,0 +1,623 @@
<?xml version="1.0"?>
<doc>
<assembly>
<name>PaddleOCRSharp</name>
</assembly>
<members>
<member name="T:PaddleOCRSharp.EngineBase">
<summary>
Base class for engine objects
</summary>
</member>
<member name="P:PaddleOCRSharp.EngineBase.PaddleOCRdllPath">
<summary>
Custom loading path for PaddleOCR.dll, default is empty. If specified, it needs to be assigned before engine instantiation.
</summary>
</member>
<member name="M:PaddleOCRSharp.EngineBase.#ctor">
<summary>
Initialization
</summary>
</member>
<member name="M:PaddleOCRSharp.EngineBase.GetDllDirectory">
<summary>
Get the current path of the program
</summary>
<returns></returns>
</member>
<member name="M:PaddleOCRSharp.EngineBase.GetRootDirectory">
<summary>
Get the current path of the program
</summary>
<returns></returns>
</member>
<member name="M:PaddleOCRSharp.EngineBase.ImageToBytes(System.Drawing.Image)">
<summary>
Convert Image to Byte[]
</summary>
<param name="image"></param>
<returns></returns>
</member>
<member name="M:PaddleOCRSharp.EngineBase.Dispose">
<summary>
Release memory
</summary>
</member>
<member name="M:PaddleOCRSharp.EngineBase.GetLastError">
<summary>
Get underlying error information
</summary>
<returns></returns>
</member>
<member name="T:PaddleOCRSharp.JsonHelper">
<summary>
Json helper class
</summary>
</member>
<member name="M:PaddleOCRSharp.JsonHelper.DeserializeObject``1(System.String)">
<summary>
Json deserialization
</summary>
<typeparam name="T"></typeparam>
<param name="json"></param>
<returns></returns>
</member>
<member name="T:PaddleOCRSharp.OCRModelConfig">
<summary>
Model configuration object
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRModelConfig.det_infer">
<summary>
det_infer model path
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRModelConfig.cls_infer">
<summary>
cls_infer model path
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRModelConfig.rec_infer">
<summary>
rec_infer model path
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRModelConfig.keys">
<summary>
Full path of ppocr_keys.txt file
</summary>
</member>
<member name="T:PaddleOCRSharp.StructureModelConfig">
<summary>
Table model configuration object
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureModelConfig.table_model_dir">
<summary>
table_model_dir model path
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureModelConfig.table_char_dict_path">
<summary>
Table recognition dictionary
</summary>
</member>
<member name="T:PaddleOCRSharp.OCRParameter">
<summary>
OCR recognition parameters
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.use_gpu">
<summary>
Whether to use GPU; default false
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.gpu_id">
<summary>
GPU id, effective when using GPU; default 0
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.gpu_mem">
<summary>
Requested GPU memory; default 4000
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.cpu_math_library_num_threads">
<summary>
Number of threads for CPU prediction. When the machine has sufficient cores, the higher this value, the faster the prediction; default 10
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.enable_mkldnn">
<summary>
Whether to use mkldnn library; default true
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.det">
<summary>
Whether to perform text detection; default true
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.rec">
<summary>
Whether to perform text recognition; default true
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.cls">
<summary>
Whether to perform text orientation classification; default false
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.max_side_len">
<summary>
When the input image length and width are greater than 960, the image is scaled proportionally so that the longest side is 960; default 960
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.det_db_thresh">
<summary>
Used to filter the binary image predicted by DB. Setting to 0.-0.3 has no significant effect on results; default 0.3
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.det_db_box_thresh">
<summary>
DB post-processing threshold for filtering boxes. If detection has missing boxes, this can be reduced accordingly; default 0.5
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.det_db_unclip_ratio">
<summary>
Represents the tightness of the text box. Smaller values mean the text box is closer to the text; default 1.6
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.use_dilation">
<summary>
Whether to use dilation on the output map, default false
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.det_db_score_mode">
<summary>
true: use polygon box to calculate bbox; false: use rectangle box. Rectangle calculation is faster, polygon boxes are more accurate for curved text areas.
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.visualize">
<summary>
Whether to visualize the results. If true, the prediction results will be saved as an ocr_vis.png file in the current directory. Default false
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.use_angle_cls">
<summary>
Whether to use direction classifier, default false
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.cls_thresh">
<summary>
Score threshold for direction classifier, default 0.9
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.cls_batch_num">
<summary>
Direction classifier batchsize, default 1
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.rec_batch_num">
<summary>
Recognition model batchsize, default 6
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.rec_img_h">
<summary>
Recognition model input image height, default 48
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.rec_img_w">
<summary>
Recognition model input image width, default 320
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.show_img_vis">
<summary>
Whether to display prediction results, default false
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRParameter.use_tensorrt">
<summary>
When using GPU prediction, whether to enable tensorrt, default false
</summary>
</member>
<member name="T:PaddleOCRSharp.ModifyParameter">
<summary>
OCR modifiable parameters
</summary>
</member>
<member name="P:PaddleOCRSharp.ModifyParameter.m_det">
<summary>
Dynamically modify whether to detect. When OCRParameter.det=true, m_det can dynamically turn off the det parameter
</summary>
</member>
<member name="P:PaddleOCRSharp.ModifyParameter.m_rec">
<summary>
Dynamically modify whether to recognize. When OCRParameter.rec=true, m_rec can dynamically turn off the rec parameter
</summary>
</member>
<member name="P:PaddleOCRSharp.ModifyParameter.m_max_side_len">
<summary>
When the input image length and width are greater than 960, the image is scaled proportionally so that the longest side is 960; default 960
</summary>
</member>
<member name="P:PaddleOCRSharp.ModifyParameter.m_det_db_thresh">
<summary>
Used to filter the binary image predicted by DB. Setting to 0.-0.3 has no significant effect on results; default 0.3. Effective when m_det=true
</summary>
</member>
<member name="P:PaddleOCRSharp.ModifyParameter.m_det_db_box_thresh">
<summary>
DB post-processing threshold for filtering boxes. If detection has missing boxes, this can be reduced accordingly; default 0.5. Effective when m_det=true
</summary>
</member>
<member name="P:PaddleOCRSharp.ModifyParameter.m_det_db_unclip_ratio">
<summary>
Represents the tightness of the text box. Smaller values mean the text box is closer to the text; default 1.6. Effective when m_det=true
</summary>
</member>
<member name="T:PaddleOCRSharp.OCRResult">
<summary>
OCR recognition result
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRResult.TextBlocks">
<summary>
List of text blocks
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRResult.Text">
<summary>
Recognition result text
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRResult.JsonText">
<summary>
Recognition result text in Json format
</summary>
</member>
<member name="M:PaddleOCRSharp.OCRResult.ToString">
<summary>
Return string format
</summary>
</member>
<member name="T:PaddleOCRSharp.TextBlock">
<summary>
Recognized text block
</summary>
</member>
<member name="P:PaddleOCRSharp.TextBlock.BoxPoints">
<summary>
List of coordinate vertices around the text block
</summary>
</member>
<member name="P:PaddleOCRSharp.TextBlock.Text">
<summary>
Text block content
</summary>
</member>
<member name="P:PaddleOCRSharp.TextBlock.Score">
<summary>
Text recognition confidence
</summary>
</member>
<member name="P:PaddleOCRSharp.TextBlock.cls_score">
<summary>
Angle classification confidence
</summary>
</member>
<member name="P:PaddleOCRSharp.TextBlock.cls_label">
<summary>
Angle classification label
</summary>
</member>
<member name="M:PaddleOCRSharp.TextBlock.ToString">
<summary>
Return string format
</summary>
</member>
<member name="T:PaddleOCRSharp.OCRPoint">
<summary>
Point object
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRPoint.X">
<summary>
X coordinate, in pixels
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRPoint.Y">
<summary>
Y coordinate, in pixels
</summary>
</member>
<member name="M:PaddleOCRSharp.OCRPoint.#ctor">
<summary>
Default constructor
</summary>
</member>
<member name="M:PaddleOCRSharp.OCRPoint.#ctor(System.Int32,System.Int32)">
<summary>
Constructor
</summary>
<param name="x"></param>
<param name="y"></param>
</member>
<member name="M:PaddleOCRSharp.OCRPoint.ToString">
<summary>
Return string format
</summary>
</member>
<member name="T:PaddleOCRSharp.OCRStructureResult">
<summary>
OCR structured recognition result
</summary>
</member>
<member name="M:PaddleOCRSharp.OCRStructureResult.#ctor">
<summary>
Table recognition result
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRStructureResult.RowCount">
<summary>
Number of rows
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRStructureResult.ColCount">
<summary>
Number of columns
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRStructureResult.Cells">
<summary>
List of cells
</summary>
</member>
<member name="P:PaddleOCRSharp.OCRStructureResult.TextBlocks">
<summary>
List of text blocks
</summary>
</member>
<member name="T:PaddleOCRSharp.StructureCells">
<summary>
Cell
</summary>
</member>
<member name="M:PaddleOCRSharp.StructureCells.#ctor">
<summary>
Cell constructor
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureCells.Row">
<summary>
Row number
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureCells.Col">
<summary>
Column number
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureCells.TextBlocks">
<summary>
Text blocks
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureCells.Text">
<summary>
Recognized text
</summary>
</member>
<member name="T:PaddleOCRSharp.PaddleOCREngine">
<summary>
PaddleOCR text recognition engine object
</summary>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.#ctor">
<summary>
Initialize OCR engine object with default parameters
</summary>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.#ctor(PaddleOCRSharp.OCRModelConfig)">
<summary>
Initialize OCR engine object with default parameters
</summary>
<param name="config">Model configuration object, if null then default values are used</param>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.#ctor(PaddleOCRSharp.OCRModelConfig,PaddleOCRSharp.OCRParameter)">
<summary>
PaddleOCR recognition engine object initialization
</summary>
<param name="config">Model configuration object, if null then default values are used</param>
<param name="parameter">Recognition parameters, if null then default values are used</param>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.#ctor(PaddleOCRSharp.OCRModelConfig,System.String)">
<summary>
PaddleOCR recognition engine object initialization
</summary>
<param name="config">Model configuration object, if null then default values are used</param>
<param name="parameterjson">Recognition parameters in json string format</param>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.GetDefaultConfig(System.String)">
<summary>
Get default configuration
</summary>
<param name="rootpath">Root directory</param>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.DetectText(System.String)">
<summary>
Perform text recognition on image file
</summary>
<param name="imagefile">Image file</param>
<returns>OCR recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.DetectText(System.Drawing.Bitmap)">
<summary>
Perform text recognition on image object
</summary>
<param name="image">Image</param>
<returns>OCR recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.DetectText(System.Byte[])">
<summary>
Text recognition
</summary>
<param name="imagebyte">Image memory stream</param>
<returns>OCR recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.DetectTextBase64(System.String)">
<summary>
Text recognition
</summary>
<param name="imagebase64">Image base64</param>
<returns>OCR recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.DetectText(System.IntPtr,System.Int32,System.Int32,System.Int32)">
<summary>
Text recognition
</summary>
<param name="imgPtr">Image memory address</param>
<param name="nWidth">Image width</param>
<param name="nHeight">Image height</param>
<param name="nChannel">Image channel, usually 3 or 1</param>
<returns>OCR recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.ConvertResult(System.IntPtr)">
<summary>
Result parsing
</summary>
<param name="ptrResult"></param>
<returns></returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.DetectStructure(System.Drawing.Bitmap)">
<summary>
Structured text recognition
</summary>
<param name="image">Image</param>
<returns>Table recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.getzeroindexs(System.Int32[],System.Int32)">
<summary>
Calculate table splitting
</summary>
<param name="pixellist"></param>
<param name="thresholdtozero"></param>
<returns></returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.ModifyParameter(PaddleOCRSharp.ModifyParameter)">
<summary>
Dynamically modify parameters after initialization
</summary>
<param name="parameter">Modifiable parameter object</param>
<returns>Whether successful, calling before initialization will result in failure</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.EnableDetUseRect(System.Boolean)">
<summary>
Whether to enable rectangular processing of detection results. Single characters are easily detected as diamond shapes, processing them as rectangles can improve recognition accuracy. Only applicable for horizontal text.
</summary>
<param name="enable"></param>
</member>
<member name="M:PaddleOCRSharp.PaddleOCREngine.Dispose">
<summary>
Release object
</summary>
</member>
<member name="T:PaddleOCRSharp.PaddleStructureEngine">
<summary>
PaddleOCR table recognition engine object
</summary>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.#ctor">
<summary>
PaddleStructureEngine recognition engine object initialization
</summary>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.#ctor(PaddleOCRSharp.StructureModelConfig)">
<summary>
PaddleStructureEngine recognition engine object initialization
</summary>
<param name="config">Model configuration object, if null then default values are used</param>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.#ctor(PaddleOCRSharp.StructureModelConfig,PaddleOCRSharp.StructureParameter)">
<summary>
PaddleStructureEngine recognition engine object initialization
</summary>
<param name="config">Model configuration object, if null then default values are used</param>
<param name="parameter">Recognition parameters, if null then default values are used</param>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.#ctor(PaddleOCRSharp.StructureModelConfig,System.String)">
<summary>
PaddleStructureEngine recognition engine object initialization
</summary>
<param name="config">Model configuration object, if null then default values are used</param>
<param name="parameterjson">Recognition parameters in Json format, if null then default values are used</param>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.GetDefaultConfig(System.String)">
<summary>
Get default configuration
</summary>
<param name="rootpath">Root directory</param>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.StructureDetectFile(System.String)">
<summary>
Perform table text recognition on image file
</summary>
<param name="imagefile">Image file</param>
<returns>Table recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.StructureDetect(System.Drawing.Image)">
<summary>
Perform table text recognition on image object
</summary>
<param name="image">Image</param>
<returns>Table recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.StructureDetect(System.Byte[])">
<summary>
Perform table text recognition on image Byte array
</summary>
<param name="imagebyte">Image byte array</param>
<returns>Table recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.StructureDetectBase64(System.String)">
<summary>
Perform table text recognition on image Base64
</summary>
<param name="imagebase64">Image Base64</param>
<returns>Table recognition result</returns>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.ConvertResult(System.IntPtr)">
<summary>
Result parsing
</summary>
<param name="ptrResult"></param>
<returns></returns>
</member>
<member name="M:PaddleOCRSharp.PaddleStructureEngine.Dispose">
<summary>
Release object
</summary>
</member>
<member name="T:PaddleOCRSharp.StructureParameter">
<summary>
OCR recognition parameters
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureParameter.table_max_len">
<summary>
When the input image length and width are greater than 488, the image is scaled proportionally, default 488
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureParameter.merge_no_span_structure">
<summary>
Whether to merge empty cells
</summary>
</member>
<member name="P:PaddleOCRSharp.StructureParameter.table_batch_num">
<summary>
Batch recognition quantity
</summary>
</member>
</members>
</doc>

85
FuncionesBase/TagPattern.cs
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@ -1,6 +1,7 @@
using System;
using System.Text.RegularExpressions;
using System.Collections.Generic;
using System.Linq;
using Xceed.Wpf.Toolkit.PropertyGrid.Attributes;
namespace CtrEditor.FuncionesBase
@ -15,8 +16,10 @@ namespace CtrEditor.FuncionesBase
{ "DESCRIPCION", "All uppercase text" },
{ "Siemens IO Input", "Format: Exxxxx.y (x: 0-65535, y: 0-7)" },
{ "Siemens IO Output", "Format: Axxxxx.y (x: 0-65535, y: 0-7)" },
{ "LETRASNUMEROS", "Format: ABC...123... (1-10 letters + numbers)" },
{ "LETRASNUMEROSESPACIOS", "Format: ABC...123... (letters, numbers and spaces allowed)" },
{ "LETRASNUMEROS", "Format: ABC...123... (letters and numbers only, other chars become _)" },
{ "LETRASNUMEROS/*-+", "Format: ABC...123... (letters, numbers, and /*-+ chars only, other chars become _)" },
{ "LETRASNUMEROSESPACIOS", "Format: ABC...123... (letters, numbers and spaces only, other chars become _)" },
{ "LETRASNUMEROSESPACIOS/*-+", "Format: ABC...123... (letters, numbers, spaces, and /*-+ chars only, other chars become _)" },
{ "Numero", "Numeric value" }
};
@ -36,7 +39,9 @@ namespace CtrEditor.FuncionesBase
"Siemens IO Input" => ApplySiemensPattern(text, "E"),
"Siemens IO Output" => ApplySiemensPattern(text, "A"),
"LETRASNUMEROS" => ApplyLetrasNumerosPattern(text),
"LETRASNUMEROS/*-+" => ApplyLetrasNumerosSpecialPattern(text),
"LETRASNUMEROSESPACIOS" => ApplyLetrasNumerosEspaciosPattern(text),
"LETRASNUMEROSESPACIOS/*-+" => ApplyLetrasNumerosEspaciosSpecialPattern(text),
"Numero" => ApplyNumberPattern(text),
_ => text
};
@ -54,7 +59,7 @@ namespace CtrEditor.FuncionesBase
if (match.Success)
{
int address = Math.Min(int.Parse(match.Groups[1].Value), 65535);
int bit = match.Groups[2].Success ?
int bit = match.Groups[2].Success ?
Math.Min(int.Parse(match.Groups[2].Value), 7) : 0;
return $"{prefix}{address}.{bit}";
}
@ -63,29 +68,67 @@ namespace CtrEditor.FuncionesBase
private static string ApplyLetrasNumerosPattern(string text)
{
// Extract letters and numbers from the text
var letters = new string(text.Where(c => char.IsLetter(c)).Take(10).ToArray());
var numbers = new string(text.Where(c => char.IsDigit(c)).ToArray());
// Replace any character that is not a letter or digit with "_"
char[] result = new char[text.Length];
// If no letters found, return "A" as default
if (string.IsNullOrEmpty(letters))
letters = "A";
for (int i = 0; i < text.Length; i++)
{
if (char.IsLetter(text[i]) || char.IsDigit(text[i]))
result[i] = char.ToUpper(text[i]); // Convert letters to uppercase
else
result[i] = '_';
}
// If no numbers found, return "0" as default
if (string.IsNullOrEmpty(numbers))
numbers = "0";
// Combine letters (uppercase) and numbers
return $"{letters.ToUpper()}{numbers}";
return new string(result);
}
private static string ApplyLetrasNumerosEspaciosPattern(string text)
{
// Keep only letters, numbers and spaces
var cleanedText = new string(text.Where(c => char.IsLetterOrDigit(c) || char.IsWhiteSpace(c)).ToArray());
// Convert to uppercase
return cleanedText.ToUpper();
// Replace any character that is not a letter, digit, or space with "_"
char[] result = new char[text.Length];
for (int i = 0; i < text.Length; i++)
{
if (char.IsLetter(text[i]) || char.IsDigit(text[i]) || char.IsWhiteSpace(text[i]))
result[i] = char.ToUpper(text[i]); // Convert letters to uppercase
else
result[i] = '_';
}
return new string(result);
}
private static string ApplyLetrasNumerosSpecialPattern(string text)
{
// Replace any character that is not a letter, digit, or one of /*-+ with "_"
char[] result = new char[text.Length];
for (int i = 0; i < text.Length; i++)
{
if (char.IsLetter(text[i]) || char.IsDigit(text[i]) || text[i] == '/' || text[i] == '*' || text[i] == '-' || text[i] == '+')
result[i] = char.ToUpper(text[i]); // Convert letters to uppercase
else
result[i] = '_';
}
return new string(result);
}
private static string ApplyLetrasNumerosEspaciosSpecialPattern(string text)
{
// Replace any character that is not a letter, digit, space, or one of /*-+ with "_"
char[] result = new char[text.Length];
for (int i = 0; i < text.Length; i++)
{
if (char.IsLetter(text[i]) || char.IsDigit(text[i]) || char.IsWhiteSpace(text[i]) ||
text[i] == '/' || text[i] == '*' || text[i] == '-' || text[i] == '+')
result[i] = char.ToUpper(text[i]); // Convert letters to uppercase
else
result[i] = '_';
}
return new string(result);
}
private static string ApplyNumberPattern(string text)
@ -107,4 +150,4 @@ namespace CtrEditor.FuncionesBase
return items;
}
}
}
}

2
ObjetosSim/Extraccion Datos/ucExtraccionTag.xaml.cs
View File

@ -165,7 +165,7 @@ namespace CtrEditor.ObjetosSim.Extraccion_Datos
public void CaptureImageAreaAndDoOCR()
{
string extractedText = CaptureImageAreaAndDoOCR(Left, Top, Ancho, Alto, Angulo, Show_Debug_Window);
string extractedText = CaptureImageAreaAndDoOCRPPaddle(Left, Top, Ancho, Alto, Angulo, Show_Debug_Window);
// Clean up the extracted text if eliminar_enters is true
if (Eliminar_enters && !string.IsNullOrEmpty(extractedText))

97
ObjetosSim/osBase.cs
View File

@ -1,16 +1,17 @@
using CommunityToolkit.Mvvm.ComponentModel;
using CtrEditor.FuncionesBase;
using CtrEditor.Serialization;
using CtrEditor.Services;
using CtrEditor.Simulacion;
using LibS7Adv;
using nkast.Aether.Physics2D.Common;
using PaddleOCRSharp;
using Siemens.Simatic.Simulation.Runtime;
using System.ComponentModel;
using System.Diagnostics;
using System.IO;
using System.Windows;
using System.Windows.Controls;
using System.Windows.Forms;
using System.Windows.Media;
using System.Windows.Media.Animation;
using System.Windows.Media.Imaging;
@ -414,7 +415,7 @@ namespace CtrEditor.ObjetosSim
using (var engine = new TesseractEngine(tesseractPath, "eng", EngineMode.Default))
{
// Configuraciones para mejorar el OCR de una sola letra
engine.SetVariable("tessedit_char_whitelist", " ABCDEFGHIJKLMNÑOPQRSTUVWXYZabcdefghijklmnñopqrstuvwxyz0123456789-."); // Lista blanca de caracteres
engine.SetVariable("tessedit_char_whitelist", " ABCDEFGHIJKLMNÑOPQRSTUVWXYZabcdefghijklmnñopqrstuvwxyz0123456789-./"); // Lista blanca de caracteres
var result = engine.Process(img);
return result.GetText();
}
@ -427,6 +428,98 @@ namespace CtrEditor.ObjetosSim
return "";
}
// Reemplaza el método existente CaptureImageAreaAndDoOCR con esta implementación
public string CaptureImageAreaAndDoOCRPPaddle(float Left, float Top, float Ancho, float Alto, float Angulo = 0, bool ShowPreview = false)
{
if (_mainViewModel?.MainCanvas.Children[0] is System.Windows.Controls.Image imagenDeFondo)
{
if (imagenDeFondo.Source is BitmapSource bitmapSource)
{
float originalDpiX = (float)bitmapSource.DpiX;
float originalDpiY = (float)bitmapSource.DpiY;
float canvasDpiX = 96;
float canvasDpiY = 96;
float scaleFactorX = originalDpiX / canvasDpiX;
float scaleFactorY = originalDpiY / canvasDpiY;
int x = (int)MeterToPixels(Left * scaleFactorX);
int y = (int)MeterToPixels(Top * scaleFactorY);
int width = (int)MeterToPixels(Ancho * scaleFactorX);
int height = (int)MeterToPixels(Alto * scaleFactorY);
if (x < 0) x = 0;
if (y < 0) y = 0;
if (x + width > bitmapSource.PixelWidth) width = bitmapSource.PixelWidth - x;
if (y + height > bitmapSource.PixelHeight) height = bitmapSource.PixelHeight - y;
CroppedBitmap croppedBitmap = new CroppedBitmap(bitmapSource, new Int32Rect(x, y, width, height));
TransformedBitmap transformedBitmap = new TransformedBitmap();
transformedBitmap.BeginInit();
transformedBitmap.Source = croppedBitmap;
if (Angulo != 0)
{
RotateTransform rotateTransform = new RotateTransform(-Angulo);
transformedBitmap.Transform = rotateTransform;
}
transformedBitmap.EndInit();
PngBitmapEncoder encoder = new PngBitmapEncoder();
encoder.Frames.Add(BitmapFrame.Create(transformedBitmap));
using (MemoryStream memoryStream = new MemoryStream())
{
encoder.Save(memoryStream);
memoryStream.Seek(0, SeekOrigin.Begin);
if (ShowPreview) ShowPreviewWindow(memoryStream);
try
{
// Primero convertimos a un array de bytes
byte[] imageBytes = memoryStream.ToArray();
// Obtener el motor PaddleOCR
var ocrEngine = PaddleOCRManager.GetEngine();
// Usar la sobrecarga que acepta un array de bytes en lugar de Bitmap
OCRResult result = ocrEngine.DetectText(imageBytes);
if (result != null && result.TextBlocks != null && result.TextBlocks.Count > 0)
{
// Lista de caracteres permitidos (similar a la whitelist de Tesseract)
string allowedChars = " ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-./";
// Filtrar texto por lista de caracteres permitidos
var filteredBlocks = result.TextBlocks
.Where(block => block.Score > 0.5) // Solo bloques con confianza > 50%
.Select(block => new {
Text = new string(block.Text.Where(c => allowedChars.Contains(c)).ToArray()),
Score = block.Score
})
.OrderByDescending(block => block.Score);
string recognizedText = string.Join(" ", filteredBlocks.Select(b => b.Text));
return recognizedText.Trim();
}
return "";
}
catch (Exception ex)
{
System.Diagnostics.Debug.WriteLine($"Error en OCR: {ex.Message}");
return "";
}
}
}
}
return "";
}
// Método para obtener un color más claro y saturado
public static Color ObtenerColorMasClaroYSaturado(Color colorOriginal, double incrementoL, double incrementoS)
{

88
Services/PaddleOCRManager.cs Normal file
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@ -0,0 +1,88 @@
using System;
using System.IO;
using System.Drawing;
using System.Windows.Media;
using System.Windows.Media.Imaging;
using System.Windows;
using System.Linq;
using PaddleOCRSharp;
namespace CtrEditor.Services
{
// Clase auxiliar para gestionar PaddleOCR
public static class PaddleOCRManager
{
private static PaddleOCREngine _engine;
private static bool _initialized = false;
private static readonly object _lockObj = new object();
public static PaddleOCREngine GetEngine()
{
if (!_initialized)
{
lock (_lockObj)
{
if (!_initialized)
{
InitializeEngine();
_initialized = true;
}
}
}
return _engine;
}
private static void InitializeEngine()
{
try
{
string baseDir = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "paddleocr");
OCRModelConfig config = new OCRModelConfig
{
// Rutas a modelos de inferencia
det_infer = Path.Combine(baseDir, "det", "inference"),
cls_infer = Path.Combine(baseDir, "cls", "inference"),
rec_infer = Path.Combine(baseDir, "rec", "inference"),
keys = Path.Combine(baseDir, "keys", "ppocr_keys.txt")
};
OCRParameter parameter = new OCRParameter
{
// Configurar parámetros de OCR
use_angle_cls = true,
cls_thresh = 0.9f,
det_db_thresh = 0.3f,
det_db_box_thresh = 0.6f,
rec_batch_num = 6,
rec_img_h = 48,
enable_mkldnn = true,
use_gpu = false,
cpu_math_library_num_threads = Environment.ProcessorCount
};
_engine = new PaddleOCREngine(config, parameter);
}
catch (Exception ex)
{
System.Diagnostics.Debug.WriteLine($"Error al inicializar PaddleOCR: {ex.Message}");
// Fallback - inicializar con configuración predeterminada
_engine = new PaddleOCREngine();
}
}
public static void Cleanup()
{
lock (_lockObj)
{
if (_initialized && _engine != null)
{
_engine.Dispose();
_engine = null;
_initialized = false;
}
}
}
}
}

76
ViewModels/MatrixPreviewViewModel.cs
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@ -88,21 +88,41 @@ namespace CtrEditor.PopUps
MatrixRows.Clear();
_dataGrid.Columns.Clear();
if (!MatrixItems.Any()) return;
if (!MatrixItems.Any())
{
Debug.WriteLine("No matrix items found.");
return;
}
Debug.WriteLine($"Total matrix items: {MatrixItems.Count}");
// Add Image column first
var imageColumn = new DataGridTextColumn
{
Header = "Image",
Binding = new Binding("[Image]"),
Width = DataGridLength.Auto
};
_dataGrid.Columns.Add(imageColumn);
// Group items by source image and then by column number
var itemsByImage = MatrixItems.GroupBy(x => x.Source_Image);
var itemsByImage = MatrixItems.GroupBy(x => x.Source_Image).ToList();
Debug.WriteLine($"Images in matrix: {itemsByImage.Count}");
// Ordenar items por número de columna
// Sort items by column number
var orderedItems = MatrixItems
.GroupBy(x => x.ColumnNumber)
.OrderBy(g => g.Key)
.Select(g => g.First())
.ToList();
// Crear columnas
Debug.WriteLine($"Distinct columns: {orderedItems.Count}");
// Create data grid columns
foreach (var item in orderedItems)
{
if (item.ColumnNumber <= 0) continue; // Skip invalid column numbers
var column = new DataGridTextColumn
{
Header = $"{item.ColumnNumber}:{item.ColumnName}",
@ -115,22 +135,25 @@ namespace CtrEditor.PopUps
// Process each image's data
foreach (var imageGroup in itemsByImage)
{
Debug.WriteLine($"Processing image: {imageGroup.Key} with {imageGroup.Count()} items");
// Calculate max rows needed for this image
int maxRows = 1;
var clonedItems = imageGroup.Where(x => x.IsCloned).ToList();
if (clonedItems.Any())
{
maxRows = clonedItems.Max(x => x.Copy_Number) + 1;
Debug.WriteLine($"Found cloned items, max rows: {maxRows}");
}
// Create rows for this image
for (int row = 0; row < maxRows; row++)
{
var rowData = new Dictionary<string, string>();
// Add image identifier
rowData["Image"] = imageGroup.Key;
// Add fixed (non-cloned) values in all rows
foreach (var item in imageGroup.Where(x => !x.IsCloned))
{
@ -152,6 +175,8 @@ namespace CtrEditor.PopUps
MatrixRows.Add(rowData);
}
}
Debug.WriteLine($"Total matrix rows created: {MatrixRows.Count}");
}
private void UpdateColumnHeaders()
@ -183,13 +208,22 @@ namespace CtrEditor.PopUps
{
// Store current image
var currentImage = _mainViewModel.SelectedImage;
// Change to target image and wait for UI update
_mainViewModel.SelectedImage = imageName;
await _mainViewModel.WaitForUIUpdateAsync();
// Analyze current page
var items = AnalyzePage();
if (items.Count == 0)
{
Debug.WriteLine($"Warning: No items found for image {imageName}");
}
else
{
Debug.WriteLine($"Found {items.Count} items for image {imageName}");
}
foreach (var item in items)
{
item.Source_Image = imageName;
@ -204,11 +238,17 @@ namespace CtrEditor.PopUps
}
}
}
catch (Exception ex)
{
Debug.WriteLine($"Error in AnalyzeMatrixMultiPage: {ex.Message}");
MessageBox.Show($"Error analyzing matrix: {ex.Message}", "Error", MessageBoxButton.OK, MessageBoxImage.Error);
}
finally
{
_mainViewModel.HasUnsavedChanges = originalHasUnsavedChanges;
}
Debug.WriteLine($"Total items collected: {MatrixItems.Count}");
ResolveColumnConflicts();
UpdateMatrixPreview();
}
@ -251,13 +291,17 @@ namespace CtrEditor.PopUps
// Get base tags that are linked to Search Templates
var osExtraccionTagBaseGrouped_List = _mainViewModel.ObjetosSimulables
.OfType<osExtraccionTag>()
.Where(tag => tag.Show_On_This_Page && !tag.Cloned && tag.Id_Search_Templates != null && tag.Id_Search_Templates != "")
.Where(tag => tag.Show_On_This_Page &&
!tag.Cloned &&
!string.IsNullOrEmpty(tag.Id_Search_Templates))
.ToList();
// Get fixed tags (not linked to Search Templates)
var osExtraccionTagBaseFix_List = _mainViewModel.ObjetosSimulables
.OfType<osExtraccionTag>()
.Where(tag => tag.Show_On_This_Page && !tag.Cloned && (tag.Id_Search_Templates == null || tag.Id_Search_Templates == ""))
.Where(tag => tag.Show_On_This_Page &&
!tag.Cloned &&
string.IsNullOrEmpty(tag.Id_Search_Templates))
.ToList();
// Get cloned tags (created by Search Templates)
@ -266,6 +310,11 @@ namespace CtrEditor.PopUps
.Where(tag => tag.Show_On_This_Page && tag.Cloned)
.ToList();
// Log counts for debugging
Debug.WriteLine($"Fixed tags: {osExtraccionTagBaseFix_List.Count}");
Debug.WriteLine($"Grouped tags: {osExtraccionTagBaseGrouped_List.Count}");
Debug.WriteLine($"Cloned tags: {osExtraccionTagCloned_List.Count}");
// Process fixed tags
foreach (var tag in osExtraccionTagBaseFix_List)
{
@ -278,7 +327,9 @@ namespace CtrEditor.PopUps
Value = tag.Tag_extract,
Type = "Fixed",
IsCloned = false,
Id = tag.Id
Id = tag.Id,
Source_Image = _mainViewModel.SelectedImage,
Copy_Number = 0
});
}
@ -294,7 +345,9 @@ namespace CtrEditor.PopUps
Value = tag.Tag_extract,
Type = $"Grouped ({tag.Id_Search_Templates})",
IsCloned = false,
Id = tag.Id
Id = tag.Id,
Source_Image = _mainViewModel.SelectedImage,
Copy_Number = 0
});
}
@ -311,6 +364,7 @@ namespace CtrEditor.PopUps
Type = "Cloned",
IsCloned = true,
Id = tag.Id,
Source_Image = _mainViewModel.SelectedImage,
Copy_Number = tag.Copy_Number
});
}

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paddleocr/download-paddleocr-models.ps1 Normal file
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@ -0,0 +1,132 @@
# Script para descargar e instalar modelos PaddleOCR
# Guardar como: download-paddleocr-models.ps1
param(
[string]$OutputDirectory = ".\paddleocr",
[switch]$ForceDownload = $false
)
# URLs de modelos PaddleOCR (inglés por defecto)
$modelUrls = @{
"det" = "https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_slim_infer.tar"
"rec" = "https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_slim_infer.tar"
"cls" = "https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_slim_infer.tar"
"keys" = "https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.6/ppocr/utils/en_dict.txt"
}
# Crear directorios si no existen
function EnsureDirectory($path) {
if (-not (Test-Path $path)) {
New-Item -Path $path -ItemType Directory | Out-Null
Write-Host "Creado directorio: $path" -ForegroundColor Green
}
}
# Descargar archivo con barra de progreso
function DownloadFile($url, $outputFile) {
$webClient = New-Object System.Net.WebClient
$webClient.Encoding = [System.Text.Encoding]::UTF8
$downloadExists = Test-Path $outputFile
if ($downloadExists -and -not $ForceDownload) {
Write-Host "El archivo ya existe: $outputFile. Use -ForceDownload para sobrescribir." -ForegroundColor Yellow
return $false
}
Write-Host "Descargando $url..." -ForegroundColor Cyan
try {
$webClient.DownloadFile($url, $outputFile)
Write-Host "Descarga completada: $outputFile" -ForegroundColor Green
return $true
} catch {
Write-Host "Error al descargar $url : $_" -ForegroundColor Red
return $false
}
}
# Extraer archivo TAR
function ExtractTarFile($tarFile, $destDir) {
Write-Host "Extrayendo $tarFile..." -ForegroundColor Cyan
# Verificar si tar está disponible
$tarAvailable = $null -ne (Get-Command "tar" -ErrorAction SilentlyContinue)
if ($tarAvailable) {
# Usar tar nativo
try {
tar -xf $tarFile -C $destDir
Write-Host "Extracción completada: $tarFile" -ForegroundColor Green
return $true
} catch {
Write-Host "Error al extraer con tar: $_" -ForegroundColor Red
}
}
# Fallback a .NET
try {
Add-Type -AssemblyName System.IO.Compression.FileSystem
# Descomprimir TAR con .NET
# Nota: Esto es un ejemplo simplificado. Necesitarías una biblioteca específica para TAR
Write-Host "TAR nativo no disponible. Se requiere una biblioteca para manejar archivos TAR." -ForegroundColor Yellow
# Aquí puedes agregar código para usar SharpCompress u otra biblioteca para TAR
# Por ejemplo:
# [Reflection.Assembly]::LoadFrom("path\to\SharpCompress.dll")
# $reader = [SharpCompress.Readers.ReaderFactory]::Open($tarFile)
# ...
return $false
} catch {
Write-Host "Error al extraer $tarFile : $_" -ForegroundColor Red
return $false
}
}
# Crear directorio principal
EnsureDirectory $OutputDirectory
# Crear estructura de directorios
$modelTypes = @("det", "rec", "cls", "keys")
foreach ($type in $modelTypes) {
$typeDir = Join-Path $OutputDirectory $type
EnsureDirectory $typeDir
if ($type -ne "keys") {
$inferenceDir = Join-Path $typeDir "inference"
EnsureDirectory $inferenceDir
}
}
# Descargar y procesar cada modelo
foreach ($entry in $modelUrls.GetEnumerator()) {
$type = $entry.Key
$url = $entry.Value
$typeDir = Join-Path $OutputDirectory $type
if ($type -eq "keys") {
# Para el archivo de claves, solo descargarlo directamente
$outputFile = Join-Path $typeDir "ppocr_keys.txt"
DownloadFile $url $outputFile
} else {
# Para los modelos, descargar TAR y extraerlo
$tarFile = Join-Path $env:TEMP "$type.tar"
$downloaded = DownloadFile $url $tarFile
if ($downloaded) {
$extracted = ExtractTarFile $tarFile $typeDir
# Limpiar archivo temporal
if (Test-Path $tarFile) {
Remove-Item $tarFile -Force
}
}
}
}
Write-Host "`nInstalación de modelos PaddleOCR completada en: $OutputDirectory" -ForegroundColor Green
Write-Host "Para usar estos modelos, configura PaddleOCREngine con las siguientes rutas:" -ForegroundColor Yellow
Write-Host " - det_infer: $OutputDirectory\det\inference" -ForegroundColor White
Write-Host " - rec_infer: $OutputDirectory\rec\inference" -ForegroundColor White
Write-Host " - cls_infer: $OutputDirectory\cls\inference" -ForegroundColor White
Write-Host " - keys: $OutputDirectory\keys\ppocr_keys.txt" -ForegroundColor White

95
paddleocr/keys/ppocr_keys.txt Normal file
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@ -0,0 +1,95 @@
0
1
2
3
4
5
6
7
8
9
:
;
<
=
>
?
@
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
[
\
]
^
_
`
a
b
c
d
e
f
g
h
i
j
k
l
m
n
o
p
q
r
s
t
u
v
w
x
y
z
{
|
}
~
!
"
#
$
%
&
'
(
)
*
+
,
-
.
/

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