trainf_ocr_class_svm_protectedT_trainf_ocr_class_svm_protectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedtrainf_ocr_class_svm_protected (算子)

名称

trainf_ocr_class_svm_protectedT_trainf_ocr_class_svm_protectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedtrainf_ocr_class_svm_protected — 使用（受保护的）训练文件中的数据训练 OCR 分类器。

签名

描述

trainf_ocr_class_svm_protectedtrainf_ocr_class_svm_protectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedtrainf_ocr_class_svm_protected trains the OCR classifier OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle with the training data stored in the OCR training files given by TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file. Its functionality corresponds to the functionality of trainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvmTrainfOcrClassSvmtrainf_ocr_class_svm, with the addition that trainf_ocr_class_svm_protectedtrainf_ocr_class_svm_protectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedtrainf_ocr_class_svm_protected can process unprotected and protected training files. Protected training files can be used only with the correct user password PasswordPasswordPasswordPasswordpasswordpassword. If the number of passwords PasswordPasswordPasswordPasswordpasswordpassword equals 1, then every input file TrainingFileTrainingFileTrainingFileTrainingFiletrainingFiletraining_file is checked with that password, otherwise the number of passwords has to be equal to the number of input files and the input file at position n is checked with the password at position n. For unprotected training files the passwords are ignored.

For a more detailed description of the operator's functionality see trainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvmTrainfOcrClassSvmtrainf_ocr_class_svm。The concept of protecting OCR training data in HALCON is described in protect_ocr_trainfprotect_ocr_trainfProtectOcrTrainfProtectOcrTrainfProtectOcrTrainfprotect_ocr_trainf。

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。

此算子修改后续输入参数的状态：

• OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle

在执行此算子时，若该参数值需在多个线程间使用，则必须对其访问进行同步。

参数

结果

如果参数有效，算子 trainf_ocr_class_svm_protectedtrainf_ocr_class_svm_protectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedtrainf_ocr_class_svm_protected 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。

trainf_ocr_class_svm_protectedtrainf_ocr_class_svm_protectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedTrainfOcrClassSvmProtectedtrainf_ocr_class_svm_protected may return the error 9211 (Matrix is not positive definite) if PreprocessingPreprocessingPreprocessingPreprocessingpreprocessingpreprocessing = 'canonical_variates'"canonical_variates""canonical_variates""canonical_variates""canonical_variates""canonical_variates" is used. This typically indicates that not enough training samples have been stored for each class. In this case we recommend to change PreprocessingPreprocessingPreprocessingPreprocessingpreprocessingpreprocessing to 'normalization'"normalization""normalization""normalization""normalization""normalization". Another solution can be to add more training samples.

可能的前趋

create_ocr_class_svmcreate_ocr_class_svmCreateOcrClassSvmCreateOcrClassSvmCreateOcrClassSvmcreate_ocr_class_svm, write_ocr_trainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainfWriteOcrTrainfwrite_ocr_trainf, append_ocr_trainfappend_ocr_trainfAppendOcrTrainfAppendOcrTrainfAppendOcrTrainfappend_ocr_trainf, write_ocr_trainf_imagewrite_ocr_trainf_imageWriteOcrTrainfImageWriteOcrTrainfImageWriteOcrTrainfImagewrite_ocr_trainf_image, protect_ocr_trainfprotect_ocr_trainfProtectOcrTrainfProtectOcrTrainfProtectOcrTrainfprotect_ocr_trainf

可能的后继

do_ocr_single_class_svmdo_ocr_single_class_svmDoOcrSingleClassSvmDoOcrSingleClassSvmDoOcrSingleClassSvmdo_ocr_single_class_svm, do_ocr_multi_class_svmdo_ocr_multi_class_svmDoOcrMultiClassSvmDoOcrMultiClassSvmDoOcrMultiClassSvmdo_ocr_multi_class_svm, write_ocr_class_svmwrite_ocr_class_svmWriteOcrClassSvmWriteOcrClassSvmWriteOcrClassSvmwrite_ocr_class_svm

替代

read_ocr_class_svmread_ocr_class_svmReadOcrClassSvmReadOcrClassSvmReadOcrClassSvmread_ocr_class_svm

另见

trainf_ocr_class_svmtrainf_ocr_class_svmTrainfOcrClassSvmTrainfOcrClassSvmTrainfOcrClassSvmtrainf_ocr_class_svm, train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm

模块

光学字符识别/光学字符验证