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ruby-opencv/ext/opencv/cvtermcriteria.cpp
Patrick Ting 08a9655dc1 Added gemspec to be able to bundle install from git.
Added IplImage#smoothness that returns :smooth, :messy, or :blank.
Rake compile will now compile the C extension code.
2011-04-14 12:26:41 -07:00

185 lines
4.2 KiB
C++

/************************************************************
cvtermcriteria.cpp -
$Author: lsxi $
Copyright (C) 2005-2006 Masakazu Yonekura
************************************************************/
#include"cvtermcriteria.h"
/*
* Document-class: OpenCV::CvTermCriteria
*
* CvTermCriteria has parameter "max" and "eps".
* "max" is the maximum repetition frequency.
* "eps" is a minimum difference value during current and previous state
* (It is different to which state "eps" refer depending on the method).
*
* Because the name of CvTermCriteria seems to be very long, it has alias named CvTerm.
*/
__NAMESPACE_BEGIN_OPENCV
__NAMESPACE_BEGIN_CVTERMCRITERIA
VALUE rb_klass;
VALUE
rb_class()
{
return rb_klass;
}
void
define_ruby_class()
{
if (rb_klass)
return;
/*
* opencv = rb_define_module("OpenCV");
*
* note: this comment is used by rdoc.
*/
VALUE opencv = rb_module_opencv();
rb_klass = rb_define_class_under(opencv, "CvTermCriteria", rb_cObject);
/* CvTermCriteria: class */
rb_define_const(opencv, "CvTerm", rb_klass);
rb_define_alloc_func(rb_klass, rb_allocate);
rb_define_method(rb_klass, "initialize", RUBY_METHOD_FUNC(rb_initialize), -1);
rb_define_method(rb_klass, "type", RUBY_METHOD_FUNC(rb_type), 0);
rb_define_method(rb_klass, "max", RUBY_METHOD_FUNC(rb_max), 0);
rb_define_method(rb_klass, "max=", RUBY_METHOD_FUNC(rb_set_max), 1);
rb_define_method(rb_klass, "eps", RUBY_METHOD_FUNC(rb_eps), 0);
rb_define_method(rb_klass, "eps=", RUBY_METHOD_FUNC(rb_set_eps), 1);
rb_define_alias(rb_klass, "epsilon", "eps");
rb_define_alias(rb_klass, "epsilon=", "eps=");
}
VALUE
rb_allocate(VALUE klass)
{
CvTermCriteria *ptr;
return Data_Make_Struct(klass, CvTermCriteria, 0, -1, ptr);
}
/*
* call-seq:
* CvTermCriteria.new([max = 0][,eps = 0.0]) -> obj
* CvTermCriteria.new(int) = CvTermCriteria.new(int, 0.0)
* CvTermCriteria.new(float) = CvTermCriteria.new(0, float)
*
* Create new term criteria.
*/
VALUE
rb_initialize(int argc, VALUE *argv, VALUE self)
{
VALUE max, eps;
rb_scan_args(argc, argv, "02", &max, &eps);
int type = 0;
if (!NIL_P(max))
type |= CV_TERMCRIT_ITER;
if (!NIL_P(eps))
type |= CV_TERMCRIT_EPS;
*CVTERMCRITERIA(self) = cvTermCriteria(type, IF_INT(max, 0), IF_DBL(eps, 0.0));
return self;
}
/*
* call-seq:
* type -> int
*
* Return a combination of CV_TERMCRIT_ITER and CV_TERMCRIT_EPS
*/
VALUE
rb_type(VALUE self)
{
return INT2NUM(CVTERMCRITERIA(self)->type);
}
/*
* call-seq:
* max -> int or nil
*
* Return the maximum repetition frequency.
*/
VALUE
rb_max(VALUE self)
{
CvTermCriteria *ptr = CVTERMCRITERIA(self);
if (ptr->type & CV_TERMCRIT_ITER)
return INT2NUM(ptr->max_iter);
else
return Qnil;
}
/*
* call-seq:
* max = <i>val</i> -> self
*
* Set the maximum repetition frequency.
* If <i>val</i> is 0 (or negative value), repetition frequency is disregarded.
*/
VALUE
rb_set_max(VALUE self, VALUE max_value)
{
CvTermCriteria *ptr = CVTERMCRITERIA(self);
int max = NUM2INT(max_value);
if (max > 0) {
ptr->type |= CV_TERMCRIT_ITER;
ptr->max_iter = max;
} else {
ptr->type ^= CV_TERMCRIT_ITER;
ptr->max_iter = 0;
}
return self;
}
/*
* call-seq:
* eps -> float or nil
*
* Return the minimum difference value during current and previous state.
*/
VALUE
rb_eps(VALUE self)
{
CvTermCriteria *ptr = CVTERMCRITERIA(self);
if(ptr->type & CV_TERMCRIT_EPS)
return rb_float_new(ptr->epsilon);
else
return Qnil;
}
/*
* call-seq:
* eps = <i>val</i> -> self
*
* Set the minimum difference value during current and previous state.
* If <i>val</i> is 0.0 (or negative value), the minimum difference value
* during current and previous state is disregarded.
*/
VALUE
rb_set_eps(VALUE self, VALUE eps_value)
{
CvTermCriteria *ptr = CVTERMCRITERIA(self);
double eps = NUM2DBL(eps_value);
if (eps > 0) {
ptr->type = ptr->type | CV_TERMCRIT_EPS;
ptr->epsilon = eps;
} else {
ptr->type = ptr->type ^ CV_TERMCRIT_EPS;
ptr->epsilon = 0;
}
return self;
}
VALUE
new_object(CvTermCriteria criteria)
{
VALUE object = rb_allocate(rb_klass);
*CVTERMCRITERIA(object) = criteria;
return object;
}
__NAMESPACE_END_CVTERMCRITERIA
__NAMESPACE_END_OPENCV