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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.
This commit is contained in:
Patrick Ting 2011-04-06 22:25:08 -07:00
parent 9f801045b8
commit 08a9655dc1
127 changed files with 826 additions and 540 deletions

3
.gitignore vendored
View file

@ -1,4 +1,5 @@
.DS_Store
.project
examples/data
*.o
*.so
@ -11,3 +12,5 @@ GSYMS
GTAGS
OpenCV-2.2.0
ruby-1.9.2-p136
ext/opencv/test.txt
pkg/

5
Gemfile Normal file
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@ -0,0 +1,5 @@
source :gemcutter
gem "hoe"
gem "hoe-gemspec"
gem "rspec"

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@ -1,7 +1,7 @@
History.txt
Manifest.txt
README.txt
License.txt
Manifest.txt
README.rdoc
Rakefile
examples/convexhull.rb
examples/face_detect.rb
@ -11,99 +11,99 @@ examples/inpaint.rb
examples/paint.rb
examples/snake.rb
examples/stuff.jpg
ext/curve.cpp
ext/curve.h
ext/cvavgcomp.cpp
ext/cvavgcomp.h
ext/cvbox2d.cpp
ext/cvbox2d.h
ext/cvcapture.cpp
ext/cvcapture.h
ext/cvchain.cpp
ext/cvchain.h
ext/cvchaincode.cpp
ext/cvchaincode.h
ext/cvcircle32f.cpp
ext/cvcircle32f.h
ext/cvcondensation.cpp
ext/cvcondensation.h
ext/cvconnectedcomp.cpp
ext/cvconnectedcomp.h
ext/cvcontour.cpp
ext/cvcontour.h
ext/cvcontourtree.cpp
ext/cvcontourtree.h
ext/cvconvexitydefect.cpp
ext/cvconvexitydefect.h
ext/cverror.cpp
ext/cverror.h
ext/cvfont.cpp
ext/cvfont.h
ext/cvhaarclassifiercascade.cpp
ext/cvhaarclassifiercascade.h
ext/cvhistogram.cpp
ext/cvhistogram.h
ext/cvindex.cpp
ext/cvindex.h
ext/cvline.cpp
ext/cvline.h
ext/cvmat.cpp
ext/cvmat.h
ext/cvmatnd.cpp
ext/cvmatnd.h
ext/cvmemstorage.cpp
ext/cvmemstorage.h
ext/cvmoments.cpp
ext/cvmoments.h
ext/cvpoint.cpp
ext/cvpoint.h
ext/cvpoint2d32f.cpp
ext/cvpoint2d32f.h
ext/cvpoint3d32f.cpp
ext/cvpoint3d32f.h
ext/cvrect.cpp
ext/cvrect.h
ext/cvscalar.cpp
ext/cvscalar.h
ext/cvseq.cpp
ext/cvseq.h
ext/cvset.cpp
ext/cvset.h
ext/cvsize.cpp
ext/cvsize.h
ext/cvsize2d32f.cpp
ext/cvsize2d32f.h
ext/cvslice.cpp
ext/cvslice.h
ext/cvsparsemat.cpp
ext/cvsparsemat.h
ext/cvtermcriteria.cpp
ext/cvtermcriteria.h
ext/cvtwopoints.cpp
ext/cvtwopoints.h
ext/cvvector.cpp
ext/cvvector.h
ext/cvvideowriter.cpp
ext/cvvideowriter.h
ext/extconf.rb
ext/gui.cpp
ext/gui.h
ext/iplconvkernel.cpp
ext/iplconvkernel.h
ext/iplimage.cpp
ext/iplimage.h
ext/mouseevent.cpp
ext/mouseevent.h
ext/opencv.cpp
ext/opencv.h
ext/point3dset.cpp
ext/point3dset.h
ext/pointset.cpp
ext/pointset.h
ext/trackbar.cpp
ext/trackbar.h
ext/window.cpp
ext/window.h
ext/opencv/curve.cpp
ext/opencv/curve.h
ext/opencv/cvavgcomp.cpp
ext/opencv/cvavgcomp.h
ext/opencv/cvbox2d.cpp
ext/opencv/cvbox2d.h
ext/opencv/cvcapture.cpp
ext/opencv/cvcapture.h
ext/opencv/cvchain.cpp
ext/opencv/cvchain.h
ext/opencv/cvchaincode.cpp
ext/opencv/cvchaincode.h
ext/opencv/cvcircle32f.cpp
ext/opencv/cvcircle32f.h
ext/opencv/cvcondensation.cpp
ext/opencv/cvcondensation.h
ext/opencv/cvconnectedcomp.cpp
ext/opencv/cvconnectedcomp.h
ext/opencv/cvcontour.cpp
ext/opencv/cvcontour.h
ext/opencv/cvcontourtree.cpp
ext/opencv/cvcontourtree.h
ext/opencv/cvconvexitydefect.cpp
ext/opencv/cvconvexitydefect.h
ext/opencv/cverror.cpp
ext/opencv/cverror.h
ext/opencv/cvfont.cpp
ext/opencv/cvfont.h
ext/opencv/cvhaarclassifiercascade.cpp
ext/opencv/cvhaarclassifiercascade.h
ext/opencv/cvhistogram.cpp
ext/opencv/cvhistogram.h
ext/opencv/cvhumoments.cpp
ext/opencv/cvhumoments.h
ext/opencv/cvindex.cpp
ext/opencv/cvindex.h
ext/opencv/cvline.cpp
ext/opencv/cvline.h
ext/opencv/cvmat.cpp
ext/opencv/cvmat.h
ext/opencv/cvmatnd.cpp
ext/opencv/cvmatnd.h
ext/opencv/cvmemstorage.cpp
ext/opencv/cvmemstorage.h
ext/opencv/cvmoments.cpp
ext/opencv/cvmoments.h
ext/opencv/cvpoint.cpp
ext/opencv/cvpoint.h
ext/opencv/cvpoint2d32f.cpp
ext/opencv/cvpoint2d32f.h
ext/opencv/cvpoint3d32f.cpp
ext/opencv/cvpoint3d32f.h
ext/opencv/cvrect.cpp
ext/opencv/cvrect.h
ext/opencv/cvscalar.cpp
ext/opencv/cvscalar.h
ext/opencv/cvseq.cpp
ext/opencv/cvseq.h
ext/opencv/cvset.cpp
ext/opencv/cvset.h
ext/opencv/cvsize.cpp
ext/opencv/cvsize.h
ext/opencv/cvsize2d32f.cpp
ext/opencv/cvsize2d32f.h
ext/opencv/cvslice.cpp
ext/opencv/cvslice.h
ext/opencv/cvsparsemat.cpp
ext/opencv/cvsparsemat.h
ext/opencv/cvtermcriteria.cpp
ext/opencv/cvtermcriteria.h
ext/opencv/cvtwopoints.cpp
ext/opencv/cvtwopoints.h
ext/opencv/cvvideowriter.cpp
ext/opencv/cvvideowriter.h
ext/opencv/extconf.rb
ext/opencv/gui.cpp
ext/opencv/gui.h
ext/opencv/iplconvkernel.cpp
ext/opencv/iplconvkernel.h
ext/opencv/iplimage.cpp
ext/opencv/iplimage.h
ext/opencv/mouseevent.cpp
ext/opencv/mouseevent.h
ext/opencv/opencv.cpp
ext/opencv/opencv.h
ext/opencv/point3dset.cpp
ext/opencv/point3dset.h
ext/opencv/pointset.cpp
ext/opencv/pointset.h
ext/opencv/trackbar.cpp
ext/opencv/trackbar.h
ext/opencv/window.cpp
ext/opencv/window.h
images/CvMat_sobel.png
images/CvMat_sub_rect.png
images/CvSeq_relationmap.png
@ -113,3 +113,52 @@ lib/version.rb
setup/setup.cygwin.rb
setup/setup.mingw.rb
setup/setup.mswin32.rb
test/helper.rb
test/runner.rb
test/samples/airplane.jpg
test/samples/baboon.jpg
test/samples/baboon200.jpg
test/samples/baboon200_rotated.jpg
test/samples/cat.jpg
test/samples/contours.jpg
test/samples/fruits.jpg
test/samples/inpaint-mask.bmp
test/samples/lena-256x256.jpg
test/samples/lena-32x32.jpg
test/samples/lena-eyes.jpg
test/samples/lena-inpaint.jpg
test/samples/lena.jpg
test/samples/lines.jpg
test/samples/one_way_train_0000.jpg
test/samples/one_way_train_0001.jpg
test/samples/str-cv-rotated.jpg
test/samples/str-cv.jpg
test/samples/str-ov.jpg
test/samples/stuff.jpg
test/test_cvbox2d.rb
test/test_cvchain.rb
test/test_cvcircle32f.rb
test/test_cvconnectedcomp.rb
test/test_cvcontour.rb
test/test_cvfont.rb
test/test_cvhumoments.rb
test/test_cvline.rb
test/test_cvmat.rb
test/test_cvmat_drawing.rb
test/test_cvmat_dxt.rb
test/test_cvmat_imageprocessing.rb
test/test_cvmoments.rb
test/test_cvpoint.rb
test/test_cvpoint2d32f.rb
test/test_cvpoint3d32f.rb
test/test_cvrect.rb
test/test_cvscalar.rb
test/test_cvseq.rb
test/test_cvsize.rb
test/test_cvsize2d32f.rb
test/test_cvtermcriteria.rb
test/test_cvtwopoints.rb
test/test_iplconvkernel.rb
test/test_iplimage.rb
test/test_opencv.rb
test/test_preliminary.rb

View file

@ -36,9 +36,12 @@ You can install by cloning this repository:
Then inside the ruby-opencv folder run:
ruby ext/extconf.rb
make
sudo make install
rake install_gem
You can also add ruby-opencv in your Gemfile:
echo -e "\n"'gem "opencv", :git => "https://github.com/pcting/ruby-opencv"' >> Gemfile
bundle install # or bundle update
== SYNOPSIS:

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@ -2,33 +2,49 @@
require 'rubygems'
require 'hoe'
require 'rake/extensiontask'
require './lib/version'
Hoe.new('opencv', OpenCV::VERSION) do |p|
p.author = ['Masakazu Yonekura']
Hoe.plugin :gemspec
hoespec = Hoe.spec 'opencv' do |p|
p.version = OpenCV::VERSION
p.changes = p.paragraphs_of('History.txt', 0..1).join("\n\n")
p.description = <<EOF
OpenCV wrapper for Ruby
EOF
p.rubyforge_name = 'opencv'
p.developer('lsxi', 'masakazu.yonekura@gmail.com')
p.email = ['masakazu.yonekura@gmail.com']
p.developer('pcting', 'pcting@gmail.com')
p.need_tar = false
p.need_zip = false
# p.rdoc_pattern =
# p.remote_rdoc_dir =
# p.rsync =
p.readme_file = 'README.rdoc'
p.history_file = 'History.txt'
p.spec_extras = {
:extensions => %w{ext/extconf.rb}
:extensions => %w{ext/opencv/extconf.rb}
}
p.summary = 'OpenCV wrapper for Ruby.'
# p.test_globs = 'spec/**/*_spec.rb'
p.clean_globs |= ['*.o']
p.test_globs = ['test/test_*.rb']
p.clean_globs << 'lib/*.so' << 'tmp'
p.url = 'http://blueruby.mydns.jp/opencv'
p.extra_deps << ['hoe']
p.extra_dev_deps << ['rake-compiler', '>= 0'] << ['hoe-gemspec'] << ['rspec']
Rake::ExtensionTask.new('opencv', spec) do |ext|
ext.lib_dir = File.join('lib', 'opencv')
end
end
hoespec.spec.files.delete('.gemtest')
hoespec.spec.files.delete('ruby-opencv.gemspec')
hoespec.spec.files.delete('opencv.gemspec')
hoespec.spec.cert_chain = []
hoespec.spec.signing_key = nil
Rake::Task[:test].prerequisites << :compile
# vim: syntax=Ruby

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@ -1,233 +0,0 @@
/************************************************************
iplimage.cpp -
$Author: lsxi $
Copyright (C) 2005-2006 Masakazu Yonekura
************************************************************/
#include "iplimage.h"
/*
* Document-class: OpenCV::IplImage
*
* IPL(Intel Image Processing Library) Image class.
*
* IplImage is subclass of CvMat. IplImage support ROI(region of interest) and COI(color of interest).
* Most of CvMat method support ROI, and some of CvMat method support COI.
*
* =What is ROI?
* region of interest.
*
* =What is COI?
* color of interest.
*/
__NAMESPACE_BEGIN_OPENCV
__NAMESPACE_BEGIN_IPLIMAGE
VALUE rb_klass;
VALUE
rb_class()
{
return rb_klass;
}
void
define_ruby_class()
{
if (rb_klass)
return;
/*
* opencv = rb_define_module("OpenCV");
* cvmat = rb_define_class_under(opencv, "CvMat", rb_cObject);
*
* note: this comment is used by rdoc.
*/
VALUE opencv = rb_module_opencv();
VALUE cvmat = cCvMat::rb_class();
rb_klass = rb_define_class_under(opencv, "IplImage", cvmat);
rb_define_alloc_func(rb_klass, rb_allocate);
rb_define_singleton_method(rb_klass, "load", RUBY_METHOD_FUNC(rb_load_image), -1);
rb_define_private_method(rb_klass, "initialize", RUBY_METHOD_FUNC(rb_initialize), -1);
rb_define_method(rb_klass, "get_roi", RUBY_METHOD_FUNC(rb_get_roi), 0);
rb_define_alias(rb_klass, "roi", "get_roi");
rb_define_method(rb_klass, "set_roi", RUBY_METHOD_FUNC(rb_set_roi), 1);
rb_define_alias(rb_klass, "roi=", "set_roi");
rb_define_method(rb_klass, "reset_roi", RUBY_METHOD_FUNC(rb_reset_roi), 0);
rb_define_method(rb_klass, "get_coi", RUBY_METHOD_FUNC(rb_get_coi), 0);
rb_define_alias(rb_klass, "coi", "get_coi");
rb_define_method(rb_klass, "set_coi", RUBY_METHOD_FUNC(rb_set_coi), 1);
rb_define_alias(rb_klass, "coi=", "set_coi");
rb_define_method(rb_klass, "reset_coi", RUBY_METHOD_FUNC(rb_reset_coi), 0);
}
VALUE
rb_allocate(VALUE klass)
{
return OPENCV_OBJECT(rb_klass, 0);
}
/*
* call-seq:
* new(<i>width, height[, depth = CV_8U][, channel = 3]</i>)
*
* Create width * height image. Each element-value set 0.
*
* Each element possigle range is set by <i>depth</i>. Default is unsigned 8bit.
*
* Number of channel is set by <i>channel</i>. <i>channel</i> should be 1..4.
*
* note: width = col, height = row, on CvMat. It is noted not to make a mistake
* because the order of argument is differenct to CvMat.
*/
VALUE
rb_initialize(int argc, VALUE *argv, VALUE self)
{
VALUE width, height, depth, channel;
rb_scan_args(argc, argv, "22", &width, &height, &depth, &channel);
int _depth = argc < 3 ? CV_8U : FIX2INT(depth);
int _channel = argc < 4 ? 3 : FIX2INT(channel);
DATA_PTR(self) = cvCreateImage(cvSize(FIX2INT(width), FIX2INT(height)), cvIplDepth(_depth), _channel);
return self;
}
/*
* call-seq:
* IplImage::load(<i>filename[,iscolor = CV_LOAD_IMAGE_COLOR]</i>)
*
* Load an image from file.
* iscolor = CV_LOAD_IMAGE_COLOR, the loaded image is forced to be a 3-channel color image
* iscolor = CV_LOAD_IMAGE_GRAYSCALE, the loaded image is forced to be grayscale
* iscolor = CV_LOAD_IMAGE_UNCHANGED, the loaded image will be loaded as is.
* Currently the following file format are supported.
* * Windows bitmaps - BMP,DIB
* * JPEG files - JPEG,JPG,JPE
* * Portable Network Graphics - PNG
* * Portable image format - PBM,PGM,PPM
* * Sun rasters - SR,RAS
* * TIFF files - TIFF,TIF
*/
VALUE
rb_load_image(int argc, VALUE *argv, VALUE self)
{
VALUE filename, iscolor;
rb_scan_args(argc, argv, "11", &filename, &iscolor);
Check_Type(filename, T_STRING);
int _iscolor;
if (TYPE(iscolor) == T_NIL) {
_iscolor = CV_LOAD_IMAGE_COLOR;
}
else {
Check_Type(iscolor, T_FIXNUM);
_iscolor = FIX2INT(iscolor);
}
IplImage *image;
if ((image = cvLoadImage(StringValueCStr(filename), _iscolor)) == NULL) {
rb_raise(rb_eStandardError, "file does not exist or invalid format image.");
}
return OPENCV_OBJECT(rb_klass, image);
}
/*
* Get ROI as CvRect.
*/
VALUE
rb_get_roi(VALUE self)
{
return cCvRect::new_object(cvGetImageROI(IPLIMAGE(self)));
}
/*
* call-seq:
* set_roi(<i>rect</i>)
* set_roi(<i>rect</i>){|image| ...}
*
* Set ROI. <i>rect</i> should be CvRect or compatible object.
* Return self.
*/
VALUE
rb_set_roi(VALUE self, VALUE roi)
{
VALUE block = rb_block_given_p() ? rb_block_proc() : 0;
if (block) {
CvRect prev_roi = cvGetImageROI(IPLIMAGE(self));
cvSetImageROI(IPLIMAGE(self), VALUE_TO_CVRECT(roi));
rb_yield_values(1, self);
cvSetImageROI(IPLIMAGE(self), prev_roi);
} else {
cvSetImageROI(IPLIMAGE(self), VALUE_TO_CVRECT(roi));
}
return self;
}
/*
* Reset ROI setting. Same as IplImage#roi = nil. Return self.
*/
VALUE
rb_reset_roi(VALUE self)
{
cvResetImageROI(IPLIMAGE(self));
return self;
}
/*
* Return COI as Fixnum.
*/
VALUE
rb_get_coi(VALUE self)
{
return INT2FIX(cvGetImageCOI(IPLIMAGE(self)));
}
/*
* call-seq:
* set_coi(<i>coi</i>)
* set_coi(<i>coi</i>){|image| ...}
*
* Set COI. <i>coi</i> should be Fixnum.
* Return self.
*/
VALUE
rb_set_coi(VALUE self, VALUE coi)
{
VALUE block = rb_block_given_p() ? rb_block_proc() : 0;
if (block) {
int prev_coi = cvGetImageCOI(IPLIMAGE(self));
cvSetImageCOI(IPLIMAGE(self), FIX2INT(coi));
rb_yield_values(1, self);
cvSetImageCOI(IPLIMAGE(self), prev_coi);
} else {
cvSetImageCOI(IPLIMAGE(self), FIX2INT(coi));
}
return self;
}
/*
* Reset COI setting. Same as IplImage#coi = 0. Return self.
*/
VALUE
rb_reset_coi(VALUE self)
{
cvSetImageCOI(IPLIMAGE(self), 0);
return self;
}
VALUE
new_object(int width, int height, int type)
{
return OPENCV_OBJECT(rb_klass, cvCreateImage(cvSize(width, height), cvIplDepth(type), CV_MAT_CN(type)));
}
VALUE
new_object(CvSize size, int type)
{
return OPENCV_OBJECT(rb_klass, cvCreateImage(size, cvIplDepth(type), CV_MAT_CN(type)));
}
__NAMESPACE_END_IPLIMAGE
__NAMESPACE_END_OPENCV

View file

@ -403,6 +403,7 @@ void define_ruby_class()
rb_define_method(rb_klass, "save_image", RUBY_METHOD_FUNC(rb_save_image), 1);
}
VALUE
rb_allocate(VALUE klass)
{
@ -2458,13 +2459,19 @@ VALUE
rb_dft(int argc, VALUE *argv, VALUE self)
{
int type = CV_DXT_FORWARD;
int num_rows = 0;
if (argc > 0) {
for (int i = 0; i < argc; i++) {
int num_flags = argc;
if (TYPE(argv[argc -1]) == T_FIXNUM) {
num_flags = argc - 1;
num_rows = FIX2INT(argv[argc - 1]);
}
for (int i = 0; i < num_flags; i++) {
type |= CVMETHOD("DXT_FLAG", argv[i]);
}
}
VALUE dest = new_object(cvGetSize(CVARR(self)), cvGetElemType(CVARR(self)));
cvDFT(CVARR(self), CVARR(dest), type);
cvDFT(CVARR(self), CVARR(dest), type, num_rows);
return dest;
}
@ -5155,6 +5162,7 @@ rb_compute_correspond_epilines(VALUE klass, VALUE points, VALUE which_image, VAL
return correspondent_lines;
}
VALUE
new_object(int rows, int cols, int type)
{
@ -5167,5 +5175,6 @@ new_object(CvSize size, int type)
return OPENCV_OBJECT(rb_klass, cvCreateMat(size.height, size.width, type));
}
__NAMESPACE_END_OPENCV
__NAMESPACE_END_CVMAT

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@ -12,6 +12,7 @@
#include "opencv.h"
#define __NAMESPACE_BEGIN_CVMAT namespace cCvMat{
#define __NAMESPACE_END_CVMAT }
@ -270,8 +271,10 @@ VALUE rb_save_image(VALUE self, VALUE filename);
VALUE new_object(int rows, int cols, int type);
VALUE new_object(CvSize size, int type);
__NAMESPACE_END_CVMAT
inline CvMat*
CVMAT(VALUE object)
{

View file

@ -72,4 +72,4 @@ else
end
# step-final. create Makefile
create_makefile("opencv")
create_makefile("opencv/opencv")

536
ext/opencv/iplimage.cpp Normal file
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@ -0,0 +1,536 @@
/************************************************************
iplimage.cpp -
$Author: lsxi $
Copyright (C) 2005-2006 Masakazu Yonekura
************************************************************/
#include "iplimage.h"
/*
* Document-class: OpenCV::IplImage
*
* IPL(Intel Image Processing Library) Image class.
*
* IplImage is subclass of CvMat. IplImage support ROI(region of interest) and COI(color of interest).
* Most of CvMat method support ROI, and some of CvMat method support COI.
*
* =What is ROI?
* region of interest.
*
* =What is COI?
* color of interest.
*/
__NAMESPACE_BEGIN_OPENCV
__NAMESPACE_BEGIN_IPLIMAGE
VALUE rb_klass;
VALUE
rb_class()
{
return rb_klass;
}
void
define_ruby_class()
{
if (rb_klass)
return;
/*
* opencv = rb_define_module("OpenCV");
* cvmat = rb_define_class_under(opencv, "CvMat", rb_cObject);
*
* note: this comment is used by rdoc.
*/
VALUE opencv = rb_module_opencv();
VALUE cvmat = cCvMat::rb_class();
rb_klass = rb_define_class_under(opencv, "IplImage", cvmat);
rb_define_alloc_func(rb_klass, rb_allocate);
rb_define_singleton_method(rb_klass, "load", RUBY_METHOD_FUNC(rb_load_image), -1);
rb_define_private_method(rb_klass, "initialize", RUBY_METHOD_FUNC(rb_initialize), -1);
rb_define_method(rb_klass, "get_roi", RUBY_METHOD_FUNC(rb_get_roi), 0);
rb_define_alias(rb_klass, "roi", "get_roi");
rb_define_method(rb_klass, "set_roi", RUBY_METHOD_FUNC(rb_set_roi), 1);
rb_define_alias(rb_klass, "roi=", "set_roi");
rb_define_method(rb_klass, "reset_roi", RUBY_METHOD_FUNC(rb_reset_roi), 0);
rb_define_method(rb_klass, "get_coi", RUBY_METHOD_FUNC(rb_get_coi), 0);
rb_define_alias(rb_klass, "coi", "get_coi");
rb_define_method(rb_klass, "set_coi", RUBY_METHOD_FUNC(rb_set_coi), 1);
rb_define_alias(rb_klass, "coi=", "set_coi");
rb_define_method(rb_klass, "reset_coi", RUBY_METHOD_FUNC(rb_reset_coi), 0);
rb_define_method(rb_klass, "smoothness", RUBY_METHOD_FUNC(rb_smoothness), -1);
}
VALUE
rb_allocate(VALUE klass)
{
return OPENCV_OBJECT(rb_klass, 0);
}
/*
* call-seq:
* new(<i>width, height[, depth = CV_8U][, channel = 3]</i>)
*
* Create width * height image. Each element-value set 0.
*
* Each element possigle range is set by <i>depth</i>. Default is unsigned 8bit.
*
* Number of channel is set by <i>channel</i>. <i>channel</i> should be 1..4.
*
* note: width = col, height = row, on CvMat. It is noted not to make a mistake
* because the order of argument is differenct to CvMat.
*/
VALUE
rb_initialize(int argc, VALUE *argv, VALUE self)
{
VALUE width, height, depth, channel;
rb_scan_args(argc, argv, "22", &width, &height, &depth, &channel);
int _depth = argc < 3 ? CV_8U : FIX2INT(depth);
int _channel = argc < 4 ? 3 : FIX2INT(channel);
DATA_PTR(self) = cvCreateImage(cvSize(FIX2INT(width), FIX2INT(height)), cvIplDepth(_depth), _channel);
return self;
}
/*
* call-seq:
* IplImage::load(<i>filename[,iscolor = CV_LOAD_IMAGE_COLOR]</i>)
*
* Load an image from file.
* iscolor = CV_LOAD_IMAGE_COLOR, the loaded image is forced to be a 3-channel color image
* iscolor = CV_LOAD_IMAGE_GRAYSCALE, the loaded image is forced to be grayscale
* iscolor = CV_LOAD_IMAGE_UNCHANGED, the loaded image will be loaded as is.
* Currently the following file format are supported.
* * Windows bitmaps - BMP,DIB
* * JPEG files - JPEG,JPG,JPE
* * Portable Network Graphics - PNG
* * Portable image format - PBM,PGM,PPM
* * Sun rasters - SR,RAS
* * TIFF files - TIFF,TIF
*/
VALUE
rb_load_image(int argc, VALUE *argv, VALUE self)
{
VALUE filename, iscolor;
rb_scan_args(argc, argv, "11", &filename, &iscolor);
Check_Type(filename, T_STRING);
int _iscolor;
if (TYPE(iscolor) == T_NIL) {
_iscolor = CV_LOAD_IMAGE_COLOR;
}
else {
Check_Type(iscolor, T_FIXNUM);
_iscolor = FIX2INT(iscolor);
}
IplImage *image;
if ((image = cvLoadImage(StringValueCStr(filename), _iscolor)) == NULL) {
rb_raise(rb_eStandardError, "file does not exist or invalid format image.");
}
return OPENCV_OBJECT(rb_klass, image);
}
/*
* Get ROI as CvRect.
*/
VALUE
rb_get_roi(VALUE self)
{
return cCvRect::new_object(cvGetImageROI(IPLIMAGE(self)));
}
/*
* call-seq:
* set_roi(<i>rect</i>)
* set_roi(<i>rect</i>){|image| ...}
*
* Set ROI. <i>rect</i> should be CvRect or compatible object.
* Return self.
*/
VALUE
rb_set_roi(VALUE self, VALUE roi)
{
VALUE block = rb_block_given_p() ? rb_block_proc() : 0;
if (block) {
CvRect prev_roi = cvGetImageROI(IPLIMAGE(self));
cvSetImageROI(IPLIMAGE(self), VALUE_TO_CVRECT(roi));
rb_yield_values(1, self);
cvSetImageROI(IPLIMAGE(self), prev_roi);
} else {
cvSetImageROI(IPLIMAGE(self), VALUE_TO_CVRECT(roi));
}
return self;
}
/*
* Reset ROI setting. Same as IplImage#roi = nil. Return self.
*/
VALUE
rb_reset_roi(VALUE self)
{
cvResetImageROI(IPLIMAGE(self));
return self;
}
/*
* Return COI as Fixnum.
*/
VALUE
rb_get_coi(VALUE self)
{
return INT2FIX(cvGetImageCOI(IPLIMAGE(self)));
}
/*
* call-seq:
* set_coi(<i>coi</i>)
* set_coi(<i>coi</i>){|image| ...}
*
* Set COI. <i>coi</i> should be Fixnum.
* Return self.
*/
VALUE
rb_set_coi(VALUE self, VALUE coi)
{
VALUE block = rb_block_given_p() ? rb_block_proc() : 0;
if (block) {
int prev_coi = cvGetImageCOI(IPLIMAGE(self));
cvSetImageCOI(IPLIMAGE(self), FIX2INT(coi));
rb_yield_values(1, self);
cvSetImageCOI(IPLIMAGE(self), prev_coi);
} else {
cvSetImageCOI(IPLIMAGE(self), FIX2INT(coi));
}
return self;
}
/*
* Reset COI setting. Same as IplImage#coi = 0. Return self.
*/
VALUE
rb_reset_coi(VALUE self)
{
cvSetImageCOI(IPLIMAGE(self), 0);
return self;
}
/*
* call-seq:
* IplImage.smoothness(<i>lowFreqRatio, blankDensity, messyDensity, highFreqRatio</i>) -> [ symbol, float, float ]
*
* Determines if the image's smoothness is either, :smooth, :messy, or :blank.
*/
VALUE
rb_smoothness(int argc, VALUE *argv, VALUE self)
{
VALUE lowFreqRatio, blankDensity, messyDensity, highFreqRatio;
rb_scan_args(argc, argv, "04", &lowFreqRatio, &blankDensity, &messyDensity, &highFreqRatio);
double f_lowFreqRatio, f_blankDensity, f_messyDensity, f_highFreqRatio;
double outLowDensity, outHighDensity;
if (TYPE(lowFreqRatio) == T_NIL) {
f_lowFreqRatio = 10 / 128.0f;
} else {
Check_Type(lowFreqRatio, T_FLOAT);
f_lowFreqRatio = NUM2DBL(lowFreqRatio);
}
if (TYPE(blankDensity) == T_NIL) {
f_blankDensity = 1.2f;
} else {
Check_Type(blankDensity, T_FLOAT);
f_blankDensity = NUM2DBL(blankDensity);
}
if (TYPE(messyDensity) == T_NIL) {
f_messyDensity = 0.151f;
} else {
Check_Type(messyDensity, T_FLOAT);
f_messyDensity = NUM2DBL(messyDensity);
}
if (TYPE(highFreqRatio) == T_NIL) {
f_highFreqRatio = 5 / 128.0f;
} else {
Check_Type(highFreqRatio, T_FLOAT);
f_highFreqRatio = NUM2DBL(highFreqRatio);
}
IplImage *pFourierImage;
IplImage *p64DepthImage;
// the image is required to be in depth of 64
if (IPLIMAGE(self)->depth == 64) {
p64DepthImage = NULL;
pFourierImage = create_fourier_image(IPLIMAGE(self));
} else {
p64DepthImage = cvCreateImage(cvGetSize(IPLIMAGE(self)), IPL_DEPTH_64F, 1);
cvConvertScale(CVARR(self), p64DepthImage, 1.0, 0.0);
pFourierImage = create_fourier_image(p64DepthImage);
}
Smoothness result = compute_smoothness(pFourierImage, f_lowFreqRatio, f_blankDensity, f_messyDensity, f_highFreqRatio, outLowDensity, outHighDensity);
cvReleaseImage(&pFourierImage);
if (p64DepthImage != NULL)
cvReleaseImage(&p64DepthImage);
switch(result)
{
case SMOOTH:
return rb_ary_new3(3, ID2SYM(rb_intern("smooth")), rb_float_new(outLowDensity), rb_float_new(outHighDensity));
case MESSY:
return rb_ary_new3(3, ID2SYM(rb_intern("messy")), rb_float_new(outLowDensity), rb_float_new(outHighDensity));
case BLANK:
return rb_ary_new3(3, ID2SYM(rb_intern("blank")), rb_float_new(outLowDensity), rb_float_new(outHighDensity));
default:
return rb_ary_new3(3, NULL, rb_float_new(outLowDensity), rb_float_new(outHighDensity));
}
}
/**
* Note: if lowDensity < blankDensityThreshold -> blank;
* else if highDensity > messyDensityThreshold -> messy;
* else -> good;
*/
Smoothness
compute_smoothness(const IplImage *pFourierImage, const double lowFreqRatio, const double blankDensity, const double messyDensity, const double highFreqRatio, double &outLowDensity, double &outHighDensity)
{
int low, high;
IplImage *filteredFourierImage;
int totalIntensity;
double sum, den, totalArea;
CvScalar scalar;
if(! (pFourierImage->nChannels == 1 && pFourierImage->depth == 64) ) {
cvError( CV_StsUnmatchedSizes, "compute_smoothness", "input image must contain only 1 channel and a depth of 64", __FILE__, __LINE__ );
}
high_pass_range(pFourierImage, lowFreqRatio, low, high );
totalArea = M_PI * (high * high - low * low);
filteredFourierImage = create_frequency_filtered_image(pFourierImage, low, high);
scalar = cvSum(filteredFourierImage);
totalIntensity = scalar.val[0];
cvReleaseImage(&filteredFourierImage);
outLowDensity = den = totalIntensity / totalArea;
if(den <= blankDensity)
{
return BLANK;
}
low = (int) (high * (1.0 - highFreqRatio));
filteredFourierImage = create_frequency_filtered_image(pFourierImage, low, high);
scalar = cvSum(filteredFourierImage);
totalIntensity = scalar.val[0];
cvReleaseImage(&filteredFourierImage);
outHighDensity = den = totalIntensity / totalArea;
if(den >= messyDensity)
{
return MESSY;
}
return SMOOTH;
}
// Rearrange the quadrants of Fourier image so that the origin is at
// the image center
// src & dst arrays of equal size & type
void
cvShiftDFT(CvArr *src_arr, CvArr *dst_arr )
{
CvMat *tmp = NULL;
CvMat q1stub, q2stub;
CvMat q3stub, q4stub;
CvMat d1stub, d2stub;
CvMat d3stub, d4stub;
CvMat *q1, *q2, *q3, *q4;
CvMat *d1, *d2, *d3, *d4;
CvSize size = cvGetSize(src_arr);
CvSize dst_size = cvGetSize(dst_arr);
int cx, cy;
if(dst_size.width != size.width ||
dst_size.height != size.height){
cvError( CV_StsUnmatchedSizes, "cvShiftDFT", "Source and Destination arrays must have equal sizes", __FILE__, __LINE__ );
}
if(src_arr==dst_arr){
tmp = cvCreateMat(size.height/2, size.width/2, cvGetElemType(src_arr));
}
cx = size.width/2;
cy = size.height/2; // image center
q1 = cvGetSubRect( src_arr, &q1stub, cvRect(0,0,cx, cy) );
q2 = cvGetSubRect( src_arr, &q2stub, cvRect(cx,0,cx,cy) );
q3 = cvGetSubRect( src_arr, &q3stub, cvRect(cx,cy,cx,cy) );
q4 = cvGetSubRect( src_arr, &q4stub, cvRect(0,cy,cx,cy) );
d1 = cvGetSubRect( src_arr, &d1stub, cvRect(0,0,cx,cy) );
d2 = cvGetSubRect( src_arr, &d2stub, cvRect(cx,0,cx,cy) );
d3 = cvGetSubRect( src_arr, &d3stub, cvRect(cx,cy,cx,cy) );
d4 = cvGetSubRect( src_arr, &d4stub, cvRect(0,cy,cx,cy) );
if(src_arr!=dst_arr){
if( !CV_ARE_TYPES_EQ( q1, d1 )){
cvError( CV_StsUnmatchedFormats, "cvShiftDFT", "Source and Destination arrays must have the same format", __FILE__, __LINE__ );
}
cvCopy(q3, d1, 0);
cvCopy(q4, d2, 0);
cvCopy(q1, d3, 0);
cvCopy(q2, d4, 0);
}
else{
cvCopy(q3, tmp, 0);
cvCopy(q1, q3, 0);
cvCopy(tmp, q1, 0);
cvCopy(q4, tmp, 0);
cvCopy(q2, q4, 0);
cvCopy(tmp, q2, 0);
}
if (tmp != NULL)
{
cvReleaseMat(&tmp);
}
}
IplImage*
create_fourier_image(const IplImage *im)
{
IplImage *realInput;
IplImage *imaginaryInput;
IplImage *complexInput;
int dft_M, dft_N;
CvMat *dft_A, tmp;
IplImage *image_Re;
IplImage *image_Im;
realInput = cvCreateImage( cvGetSize(im), IPL_DEPTH_64F, 1);
imaginaryInput = cvCreateImage( cvGetSize(im), IPL_DEPTH_64F, 1);
complexInput = cvCreateImage( cvGetSize(im), IPL_DEPTH_64F, 2);
cvScale(im, realInput, 1.0, 0.0);
cvZero(imaginaryInput);
cvMerge(realInput, imaginaryInput, NULL, NULL, complexInput);
dft_M = cvGetOptimalDFTSize( im->height - 1 );
dft_N = cvGetOptimalDFTSize( im->width - 1 );
dft_A = cvCreateMat( dft_M, dft_N, CV_64FC2 );
image_Re = cvCreateImage( cvSize(dft_N, dft_M), IPL_DEPTH_64F, 1);
image_Im = cvCreateImage( cvSize(dft_N, dft_M), IPL_DEPTH_64F, 1);
// copy A to dft_A and pad dft_A with zeros
cvGetSubRect( dft_A, &tmp, cvRect(0,0, im->width, im->height));
cvCopy( complexInput, &tmp, NULL );
if( dft_A->cols > im->width )
{
cvGetSubRect( dft_A, &tmp, cvRect(im->width,0, dft_A->cols - im->width, im->height));
cvZero( &tmp );
}
// no need to pad bottom part of dft_A with zeros because of
// use nonzero_rows parameter in cvDFT() call below
cvDFT( dft_A, dft_A, CV_DXT_FORWARD, complexInput->height );
// Split Fourier in real and imaginary parts
cvSplit( dft_A, image_Re, image_Im, 0, 0 );
// Compute the magnitude of the spectrum Mag = sqrt(Re^2 + Im^2)
cvPow( image_Re, image_Re, 2.0);
cvPow( image_Im, image_Im, 2.0);
cvAdd( image_Re, image_Im, image_Re, NULL);
cvPow( image_Re, image_Re, 0.5 );
// Compute log(1 + Mag)
cvAddS( image_Re, cvScalarAll(1.0), image_Re, NULL ); // 1 + Mag
cvLog( image_Re, image_Re ); // log(1 + Mag)
// Rearrange the quadrants of Fourier image so that the origin is at
// the image center
cvShiftDFT( image_Re, image_Re );
cvReleaseImage(&realInput);
cvReleaseImage(&imaginaryInput);
cvReleaseImage(&complexInput);
cvReleaseImage(&image_Im);
cvReleaseMat(&dft_A);
return image_Re;
}
IplImage*
create_frequency_filtered_image(const IplImage *pImage, int low, int high)
{
CvPoint2D32f center;
center.x = pImage->width / 2;
center.y = pImage->height / 2;
CvBox2D box;
box.center = center;
box.size.width = high;
box.size.height = high;
IplImage *pFilterMask = cvCreateImage( cvGetSize(pImage), IPL_DEPTH_64F, 1 );
IplImage *pFiltered = cvCreateImage( cvGetSize(pImage), IPL_DEPTH_64F, 1 );
cvZero(pFilterMask);
cvZero(pFiltered);
if(high > 0)
cvEllipseBox(pFilterMask, box, cvScalar(255, 255, 255, 255), CV_FILLED, 8, 0);
box.size.width = low;
box.size.height = low;
if(low > 0)
cvEllipseBox(pFilterMask, box, cvScalar(0, 0, 0, 0), CV_FILLED, 8, 0);
cvAnd(pImage, pFilterMask, pFiltered, NULL);
cvReleaseImage(&pFilterMask);
return pFiltered;
}
void
high_pass_range(const IplImage *pImage, float lostPercentage, int &outLow, int &outHigh)
{
if(lostPercentage > 1.0f)
{
lostPercentage = 1;
}
else if(lostPercentage < 0.0f )
{
lostPercentage = 0;
}
outHigh = (int) min( pImage->width, pImage->height );
outLow = (int) (lostPercentage * outHigh);
}
VALUE
new_object(int width, int height, int type)
{
return OPENCV_OBJECT(rb_klass, cvCreateImage(cvSize(width, height), cvIplDepth(type), CV_MAT_CN(type)));
}
VALUE
new_object(CvSize size, int type)
{
return OPENCV_OBJECT(rb_klass, cvCreateImage(size, cvIplDepth(type), CV_MAT_CN(type)));
}
__NAMESPACE_END_IPLIMAGE
__NAMESPACE_END_OPENCV

View file

@ -37,6 +37,14 @@ VALUE rb_get_coi(VALUE self);
VALUE rb_set_coi(VALUE self, VALUE coi);
VALUE rb_reset_coi(VALUE self);
VALUE rb_smoothness(int argc, VALUE *argv, VALUE self);
typedef enum { SMOOTH = 1, BLANK = 2, MESSY = 3 } Smoothness;
Smoothness compute_smoothness(const IplImage *pFourierImage, const double lowFreqRatio, const double blankDensity, const double messyDensity, const double highFreqRatio, double &outLowDensity, double &outHighDensity);
void cvShiftDFT(CvArr *src_arr, CvArr *dst_arr );
IplImage* create_fourier_image(const IplImage *im);
IplImage* create_frequency_filtered_image(const IplImage *pImage, int low, int high);
void high_pass_range(const IplImage *pImage, float lostPercentage, int &outLow, int &outHigh);
VALUE new_object(int width, int height, int type);
VALUE new_object(CvSize size, int type);
__NAMESPACE_END_IPLIMAGE

View file

@ -1,3 +1,3 @@
require (File.dirname(__FILE__) + '/version')
require 'opencv.so'
require 'opencv/opencv.so'

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