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https://github.com/ruby-opencv/ruby-opencv
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08a9655dc1
Added IplImage#smoothness that returns :smooth, :messy, or :blank. Rake compile will now compile the C extension code.
185 lines
4.2 KiB
C++
185 lines
4.2 KiB
C++
/************************************************************
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cvtermcriteria.cpp -
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$Author: lsxi $
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Copyright (C) 2005-2006 Masakazu Yonekura
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************************************************************/
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#include"cvtermcriteria.h"
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/*
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* Document-class: OpenCV::CvTermCriteria
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*
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* CvTermCriteria has parameter "max" and "eps".
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* "max" is the maximum repetition frequency.
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* "eps" is a minimum difference value during current and previous state
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* (It is different to which state "eps" refer depending on the method).
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*
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* Because the name of CvTermCriteria seems to be very long, it has alias named CvTerm.
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*/
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__NAMESPACE_BEGIN_OPENCV
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__NAMESPACE_BEGIN_CVTERMCRITERIA
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VALUE rb_klass;
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VALUE
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rb_class()
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{
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return rb_klass;
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}
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void
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define_ruby_class()
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{
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if (rb_klass)
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return;
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/*
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* opencv = rb_define_module("OpenCV");
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*
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* note: this comment is used by rdoc.
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*/
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VALUE opencv = rb_module_opencv();
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rb_klass = rb_define_class_under(opencv, "CvTermCriteria", rb_cObject);
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/* CvTermCriteria: class */
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rb_define_const(opencv, "CvTerm", rb_klass);
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rb_define_alloc_func(rb_klass, rb_allocate);
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rb_define_method(rb_klass, "initialize", RUBY_METHOD_FUNC(rb_initialize), -1);
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rb_define_method(rb_klass, "type", RUBY_METHOD_FUNC(rb_type), 0);
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rb_define_method(rb_klass, "max", RUBY_METHOD_FUNC(rb_max), 0);
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rb_define_method(rb_klass, "max=", RUBY_METHOD_FUNC(rb_set_max), 1);
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rb_define_method(rb_klass, "eps", RUBY_METHOD_FUNC(rb_eps), 0);
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rb_define_method(rb_klass, "eps=", RUBY_METHOD_FUNC(rb_set_eps), 1);
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rb_define_alias(rb_klass, "epsilon", "eps");
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rb_define_alias(rb_klass, "epsilon=", "eps=");
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}
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VALUE
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rb_allocate(VALUE klass)
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{
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CvTermCriteria *ptr;
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return Data_Make_Struct(klass, CvTermCriteria, 0, -1, ptr);
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}
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/*
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* call-seq:
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* CvTermCriteria.new([max = 0][,eps = 0.0]) -> obj
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* CvTermCriteria.new(int) = CvTermCriteria.new(int, 0.0)
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* CvTermCriteria.new(float) = CvTermCriteria.new(0, float)
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*
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* Create new term criteria.
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*/
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VALUE
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rb_initialize(int argc, VALUE *argv, VALUE self)
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{
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VALUE max, eps;
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rb_scan_args(argc, argv, "02", &max, &eps);
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int type = 0;
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if (!NIL_P(max))
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type |= CV_TERMCRIT_ITER;
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if (!NIL_P(eps))
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type |= CV_TERMCRIT_EPS;
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*CVTERMCRITERIA(self) = cvTermCriteria(type, IF_INT(max, 0), IF_DBL(eps, 0.0));
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return self;
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}
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/*
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* call-seq:
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* type -> int
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*
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* Return a combination of CV_TERMCRIT_ITER and CV_TERMCRIT_EPS
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*/
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VALUE
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rb_type(VALUE self)
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{
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return INT2NUM(CVTERMCRITERIA(self)->type);
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}
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/*
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* call-seq:
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* max -> int or nil
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*
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* Return the maximum repetition frequency.
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*/
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VALUE
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rb_max(VALUE self)
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{
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CvTermCriteria *ptr = CVTERMCRITERIA(self);
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if (ptr->type & CV_TERMCRIT_ITER)
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return INT2NUM(ptr->max_iter);
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else
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return Qnil;
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}
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/*
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* call-seq:
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* max = <i>val</i> -> self
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*
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* Set the maximum repetition frequency.
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* If <i>val</i> is 0 (or negative value), repetition frequency is disregarded.
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*/
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VALUE
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rb_set_max(VALUE self, VALUE max_value)
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{
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CvTermCriteria *ptr = CVTERMCRITERIA(self);
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int max = NUM2INT(max_value);
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if (max > 0) {
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ptr->type |= CV_TERMCRIT_ITER;
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ptr->max_iter = max;
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} else {
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ptr->type ^= CV_TERMCRIT_ITER;
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ptr->max_iter = 0;
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}
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return self;
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}
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/*
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* call-seq:
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* eps -> float or nil
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*
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* Return the minimum difference value during current and previous state.
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*/
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VALUE
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rb_eps(VALUE self)
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{
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CvTermCriteria *ptr = CVTERMCRITERIA(self);
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if(ptr->type & CV_TERMCRIT_EPS)
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return rb_float_new(ptr->epsilon);
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else
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return Qnil;
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}
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/*
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* call-seq:
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* eps = <i>val</i> -> self
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*
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* Set the minimum difference value during current and previous state.
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* If <i>val</i> is 0.0 (or negative value), the minimum difference value
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* during current and previous state is disregarded.
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*/
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VALUE
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rb_set_eps(VALUE self, VALUE eps_value)
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{
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CvTermCriteria *ptr = CVTERMCRITERIA(self);
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double eps = NUM2DBL(eps_value);
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if (eps > 0) {
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ptr->type = ptr->type | CV_TERMCRIT_EPS;
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ptr->epsilon = eps;
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} else {
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ptr->type = ptr->type ^ CV_TERMCRIT_EPS;
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ptr->epsilon = 0;
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}
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return self;
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}
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VALUE
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new_object(CvTermCriteria criteria)
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{
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VALUE object = rb_allocate(rb_klass);
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*CVTERMCRITERIA(object) = criteria;
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return object;
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}
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__NAMESPACE_END_CVTERMCRITERIA
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__NAMESPACE_END_OPENCV
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