write_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainfwrite_ocr_trainf (算子)

名称

write_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainfwrite_ocr_trainf — 将训练字符存储到文件中。

签名

write_ocr_trainf(Character, Image : : Class, TrainingFile : )

描述

算子 write_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainfWriteOcrTrainfwrite_ocr_trainf serves to prepare the training with the operator trainf_ocr_class_mlptrainf_ocr_class_mlpTrainfOcrClassMlpTrainfOcrClassMlpTrainfOcrClassMlptrainf_ocr_class_mlp or trainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvmTrainfOcrClassSvmtrainf_ocr_class_svm。Hereby regions, representing characters, including their gray values (region and pixel) and the corresponding class name will be written into a file. An arbitrary number of regions within one image is supported. For each character (region) in CharacterCharacterCharacterCharactercharactercharacter the corresponding class name must be specified in ClassClassClassClassclassValclass. The gray values are passed via the parameter ImageImageImageImageimageimage. If no file extension is specified in TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file the extension '.trf' is appended to the file name. The version of the file format used for writing data can be defined by the parameter 'ocr_trainf_version'"ocr_trainf_version""ocr_trainf_version""ocr_trainf_version""ocr_trainf_version""ocr_trainf_version" of the operator set_systemset_systemSetSystemSetSystemSetSystemset_system。

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
未采用并行化处理。

参数

CharacterCharacterCharacterCharactercharactercharacter (输入对象) region(-array) → object

待训练的字符。

ImageImageImageImageimageimage (输入对象) singlechannelimage → object (byte / uint2)

字符的灰度值。

ClassClassClassClassclassValclass (输入控制) string(-array) → (string)

字符的类（名称）。

TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file (输入控制) filename.write → (string)

训练文件的名称。

默认值： 'train_ocr' "train_ocr" "train_ocr" "train_ocr" "train_ocr" "train_ocr"

File extension: .trf

示例（C）

char       name[128];
HTuple     Class,Name;

read_image(&Image,"character.tiff");
binary_threshold(Image,&Dark, 'otsu', 'dark', &UsedThreshold);
connection(Dark,&Character);
count_obj(Character,&num);
create_tuple(&Class,num);
open_window(0,0,-1,-1,0,"","",&WindowHandle);
set_color(WindowHandle,"red");
for (i=0; i<num; i++) {
  select_obj(Character,&SingleCharacter,i);
  disp_region(SingleCharacter,WindowHandle);
  printf("class of character %d ?\n",i);
  scanf("%s\n",name);
  set_s(Class,name,i);
}
create_tuple(&Name,1);
set_s(Class,Name,"trainfile");
T_write_ocr_trainf(Character,Image,Class,Name);

结果

如果参数正确，算子 write_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainfWriteOcrTrainfwrite_ocr_trainf 返回值 2 ( H_MSG_TRUE )。否则将抛出异常。

可能的前趋

thresholdthresholdThresholdThresholdThresholdthreshold, connectionconnectionConnectionConnectionConnectionconnection, read_ocr_trainfread_ocr_trainfReadOcrTrainfReadOcrTrainfReadOcrTrainfread_ocr_trainf

可能的后继

trainf_ocr_class_mlptrainf_ocr_class_mlpTrainfOcrClassMlpTrainfOcrClassMlpTrainfOcrClassMlptrainf_ocr_class_mlp, trainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvmTrainfOcrClassSvmtrainf_ocr_class_svm

模块

光学字符识别/光学字符验证

算子