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https://github.com/ruby-opencv/ruby-opencv
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Merge branch 'master' into develop
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bbfaeb29c1
3 changed files with 70 additions and 0 deletions
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@ -352,6 +352,7 @@ void define_ruby_class()
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rb_define_method(rb_klass, "resize", RUBY_METHOD_FUNC(rb_resize), -1);
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rb_define_method(rb_klass, "warp_affine", RUBY_METHOD_FUNC(rb_warp_affine), -1);
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rb_define_singleton_method(rb_klass, "rotation_matrix2D", RUBY_METHOD_FUNC(rb_rotation_matrix2D), 3);
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rb_define_singleton_method(rb_klass, "get_perspective_transform", RUBY_METHOD_FUNC(rb_get_perspective_transform), 2);
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rb_define_method(rb_klass, "warp_perspective", RUBY_METHOD_FUNC(rb_warp_perspective), -1);
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rb_define_singleton_method(rb_klass, "find_homography", RUBY_METHOD_FUNC(rb_find_homograpy), -1);
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rb_define_method(rb_klass, "remap", RUBY_METHOD_FUNC(rb_remap), -1);
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@ -4053,6 +4054,40 @@ rb_rotation_matrix2D(VALUE self, VALUE center, VALUE angle, VALUE scale)
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return map_matrix;
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}
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/*
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* call-seq:
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* CvMat.get_perspective_transform(<i>from_points,to_points</i>) -> cvmat
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*
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* Calculates a perspective transform from four pairs of the corresponding points.
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* Returns a matrix suitable for use with warp_perspective
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*/
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VALUE
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rb_get_perspective_transform(VALUE self, VALUE source, VALUE dest)
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{
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Check_Type(source, T_ARRAY);
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Check_Type(dest, T_ARRAY);
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int count = RARRAY_LEN(source);
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CvPoint2D32f* source_buff = ALLOCA_N(CvPoint2D32f, count);
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CvPoint2D32f* dest_buff = ALLOCA_N(CvPoint2D32f, count);
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for (int i = 0; i < count; i++) {
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source_buff[i] = *(CVPOINT2D32F(RARRAY_PTR(source)[i]));
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dest_buff[i] = *(CVPOINT2D32F(RARRAY_PTR(dest)[i]));
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}
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VALUE map_matrix = new_object(cvSize(3, 3), CV_MAKETYPE(CV_32F, 1));
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try {
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cvGetPerspectiveTransform(source_buff, dest_buff, CVMAT(map_matrix));
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}
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catch (cv::Exception& e) {
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raise_cverror(e);
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}
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return map_matrix;
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}
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/*
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* call-seq:
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* warp_perspective(<i>map_matrix[,flags = CV_INTER_LINEAR | CV_WARP_FILL_OUTLIERS][,fillval=0])</i>) -> cvmat
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@ -175,6 +175,7 @@ VALUE rb_quadrangle_sub_pix(int argc, VALUE *argv, VALUE self);
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VALUE rb_resize(int argc, VALUE *argv, VALUE self);
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VALUE rb_warp_affine(int argc, VALUE *argv, VALUE self);
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VALUE rb_rotation_matrix2D(VALUE self, VALUE center, VALUE angle, VALUE scale);
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VALUE rb_get_perspective_transform(VALUE self, VALUE source, VALUE dest);
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VALUE rb_warp_perspective(int argc, VALUE *argv, VALUE self);
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VALUE rb_find_homograpy(int argc, VALUE *argv, VALUE self);
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VALUE rb_remap(int argc, VALUE *argv, VALUE self);
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@ -450,6 +450,40 @@ class TestCvMat_imageprocessing < OpenCVTestCase
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# snap mat0, mat1, mat2, mat3, mat4
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end
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def test_get_perspective_transform
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from = [
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OpenCV::CvPoint2D32f.new(540, 382),
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OpenCV::CvPoint2D32f.new(802, 400),
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OpenCV::CvPoint2D32f.new(850, 731),
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OpenCV::CvPoint2D32f.new(540, 731),
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]
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to = [
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OpenCV::CvPoint2D32f.new(0, 0),
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OpenCV::CvPoint2D32f.new(233, 0),
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OpenCV::CvPoint2D32f.new(233, 310),
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OpenCV::CvPoint2D32f.new(0, 310),
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]
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transform = OpenCV::CvMat.get_perspective_transform(from, to)
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assert_equal 3, transform.rows
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assert_equal 3, transform.columns
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expected = [
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0.923332154750824,
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0.0,
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0.0,
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1.4432899320127035e-15,
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0.0,
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0.0,
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-498.599365234375,
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0.0,
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0.0,
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]
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3.times do |i|
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3.times do |j|
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assert_in_delta(expected.shift, transform[i][j], 0.001)
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end
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end
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end
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def test_rotation_matrix2D
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mat1 = CvMat.rotation_matrix2D(CvPoint2D32f.new(10, 20), 60, 2.0)
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expected = [1.0, 1.73205, -34.64102,
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