traind_ocv_projT_traind_ocv_projTraindOcvProjTraindOcvProjtraind_ocv_proj (Operator)
Name
traind_ocv_projT_traind_ocv_projTraindOcvProjTraindOcvProjtraind_ocv_proj
— Training of an OCV tool.
Signature
void TraindOcvProj(const HObject& Pattern, const HTuple& OCVHandle, const HTuple& Name, const HTuple& Mode)
void HImage::TraindOcvProj(const HOCV& OCVHandle, const HTuple& Name, const HString& Mode) const
void HImage::TraindOcvProj(const HOCV& OCVHandle, const HString& Name, const HString& Mode) const
void HImage::TraindOcvProj(const HOCV& OCVHandle, const char* Name, const char* Mode) const
void HImage::TraindOcvProj(const HOCV& OCVHandle, const wchar_t* Name, const wchar_t* Mode) const
(
Windows only)
void HOCV::TraindOcvProj(const HImage& Pattern, const HTuple& Name, const HString& Mode) const
void HOCV::TraindOcvProj(const HImage& Pattern, const HString& Name, const HString& Mode) const
void HOCV::TraindOcvProj(const HImage& Pattern, const char* Name, const char* Mode) const
void HOCV::TraindOcvProj(const HImage& Pattern, const wchar_t* Name, const wchar_t* Mode) const
(
Windows only)
static void HOperatorSet.TraindOcvProj(HObject pattern, HTuple OCVHandle, HTuple name, HTuple mode)
void HImage.TraindOcvProj(HOCV OCVHandle, HTuple name, string mode)
void HImage.TraindOcvProj(HOCV OCVHandle, string name, string mode)
void HOCV.TraindOcvProj(HImage pattern, HTuple name, string mode)
void HOCV.TraindOcvProj(HImage pattern, string name, string mode)
Description
traind_ocv_projtraind_ocv_projTraindOcvProjTraindOcvProjtraind_ocv_proj
trains patterns for an OCV tool that
has been created using the operators create_ocv_projcreate_ocv_projCreateOcvProjCreateOcvProjcreate_ocv_proj
or
read_ocvread_ocvReadOcvReadOcvread_ocv
.
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_projTraindOcvProjTraindOcvProjtraind_ocv_proj
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.
Execution Information
- 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:
During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.
Parameters
PatternPatternPatternpatternpattern
(input_object) singlechannelimage(-array) →
objectHImageHObjectHObjectHobject (byte)
Pattern to be trained.
OCVHandleOCVHandleOCVHandleOCVHandleocvhandle
(input_control, state is modified) ocv →
HOCV, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
Handle of the OCV tool to be trained.
NameNameNamenamename
(input_control) string(-array) →
HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Name(s) of the object(s) to analyze.
Default:
'a'
"a"
"a"
"a"
"a"
ModeModeModemodemode
(input_control) string →
HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Mode for training (only one mode implemented).
Default:
'single'
"single"
"single"
"single"
"single"
List of values:
'single'"single""single""single""single"
Example (C++)
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_projTraindOcvProjTraindOcvProjtraind_ocv_proj
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_trainfWriteOcrTrainfWriteOcrTrainfwrite_ocr_trainf
,
create_ocv_projcreate_ocv_projCreateOcvProjCreateOcvProjcreate_ocv_proj
,
read_ocvread_ocvReadOcvReadOcvread_ocv
,
thresholdthresholdThresholdThresholdthreshold
,
connectionconnectionConnectionConnectionconnection
,
select_shapeselect_shapeSelectShapeSelectShapeselect_shape
Possible Successors
close_ocvclose_ocvCloseOcvCloseOcvclose_ocv
See also
traind_ocr_class_boxtraind_ocr_class_boxTraindOcrClassBoxTraindOcrClassBoxtraind_ocr_class_box
Module
OCR/OCV