traind_ocv_projtraind_ocv_projTraindOcvProjtraind_ocv_projTraindOcvProjTraindOcvProj (Operator)

Name

traind_ocv_projtraind_ocv_projTraindOcvProjtraind_ocv_projTraindOcvProjTraindOcvProj — Training of an OCV tool.

Signature

Description

traind_ocv_projtraind_ocv_projTraindOcvProjtraind_ocv_projTraindOcvProjTraindOcvProj trains patterns for an OCV tool that has been created using the operators create_ocv_projcreate_ocv_projCreateOcvProjcreate_ocv_projCreateOcvProjCreateOcvProj or read_ocvread_ocvReadOcvread_ocvReadOcvReadOcv. For this training one or multiple patterns are provided to the system. Such a pattern consists of an image with a reduced domain (ROI) for the area of the pattern. Note that the pattern should not only contain foreground pixels (e.g. dark pixels of a character) but also background pixels. This can be implemented e.g. by the smallest surrounding rectangle of the pattern. Without this context an evaluation of the pattern is not possible.

If more than one pattern has to be trained this can be achieved by multiple calls (one for each pattern) or by calling traind_ocv_projtraind_ocv_projTraindOcvProjtraind_ocv_projTraindOcvProjTraindOcvProj once with all patterns and a tuple of the corresponding names. The result will be in both cases the same. However using multiple calls will normally result in a longer execution time than using one call with all patterns.

Parallelization

• Multithreading type: reentrant (runs in parallel with non-exclusive operators).
• Multithreading scope: global (may be called from any thread).
• Processed without parallelization.

This operator modifies the state of the following input parameter:

• OCVHandleOCVHandleOCVHandleOCVHandleOCVHandleOCVHandle

Parameters

Example (C++ (HALCON 5.0-10.0))

create_ocv_proj("A",&ocv_handle);
draw_region(&ROI,window_handle);
reduce_domain(Image,ROI,&Sample);
traind_ocv_proj(Sample,ocv_handle,"A","single");

Result

traind_ocv_projtraind_ocv_projTraindOcvProjtraind_ocv_projTraindOcvProjTraindOcvProj returns 2 (H_MSG_TRUE), if the handle and the training pattern(s) are correct. Otherwise, an exception is raised.

Possible Predecessors

write_ocr_trainfwrite_ocr_trainfWriteOcrTrainfwrite_ocr_trainfWriteOcrTrainfWriteOcrTrainf, create_ocv_projcreate_ocv_projCreateOcvProjcreate_ocv_projCreateOcvProjCreateOcvProj, read_ocvread_ocvReadOcvread_ocvReadOcvReadOcv, thresholdthresholdThresholdthresholdThresholdThreshold, connectionconnectionConnectionconnectionConnectionConnection, select_shapeselect_shapeSelectShapeselect_shapeSelectShapeSelectShape

Possible Successors

close_ocvclose_ocvCloseOcvclose_ocvCloseOcvCloseOcv

See also

traind_ocr_class_boxtraind_ocr_class_boxTraindOcrClassBoxtraind_ocr_class_boxTraindOcrClassBoxTraindOcrClassBox

Module

OCR/OCV