5611bd5807
Use type traits and features of C++11, then use Boost.MP11. Remove unused and unnecessary metafunctions in `detail` namespace. Remove explicit access to ::type as no longer necessary with MP11. Clean up and reformat code according to the current guidelines. Legacy tests have been updated where necessary to accommodate switch to MP11. Replace std::is_integral with gil::detail::is_channel_integral Replacing boost::is_integral with std::is_integral is C++ UB: C++11 / 20.11.2 Header <type_traits> synopsis 1 The behavior of a program that adds specializations for any of the class templates defined in this subclause is undefined unless otherwise specified. Implements also proposal in #93 Closes #229
608 lines
20 KiB
C++
608 lines
20 KiB
C++
//
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// Copyright 2005-2007 Adobe Systems Incorporated
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//
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// Distributed under the Boost Software License, Version 1.0
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// See accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt
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//
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#ifdef _MSC_VER
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#pragma warning(disable : 4244) // conversion from 'gil::image<V,Alloc>::coord_t' to 'int', possible loss of data (visual studio compiler doesn't realize that the two types are the same)
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#pragma warning(disable : 4503) // decorated name length exceeded, name was truncated
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#pragma warning(disable : 4701) // potentially uninitialized local variable 'result' used in boost/crc.hpp
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#endif
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#include <boost/gil.hpp>
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#include <boost/gil/extension/dynamic_image/dynamic_image_all.hpp>
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#include <boost/core/ignore_unused.hpp>
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#include <boost/crc.hpp>
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#include <boost/mp11.hpp>
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#include <ios>
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#include <iostream>
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#include <fstream>
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#include <map>
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#include <stdexcept>
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#include <string>
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#include <type_traits>
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#include <vector>
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using namespace boost::gil;
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using namespace std;
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using namespace boost;
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extern rgb8c_planar_view_t sample_view;
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void error_if(bool condition);
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#if BOOST_WORKAROUND(BOOST_MSVC, >= 1400)
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#pragma warning(push)
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#pragma warning(disable:4127) //conditional expression is constant
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#endif
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// When BOOST_GIL_GENERATE_REFERENCE_DATA is defined, the reference data is generated and saved.
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// When it is undefined, regression tests are checked against it
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//#define BOOST_GIL_GENERATE_REFERENCE_DATA
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////////////////////////////////////////////////////
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///
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/// Some algorithms to use in testing
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///
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////////////////////////////////////////////////////
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template <typename GrayView, typename R>
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void gray_image_hist(GrayView const& img_view, R& hist)
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{
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for (auto it = img_view.begin(); it != img_view.end(); ++it)
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++hist[*it];
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// Alternatively, prefer the algorithm with lambda
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// for_each_pixel(img_view, [&hist](gray8_pixel_t const& pixel) {
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// ++hist[pixel];
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// });
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}
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template <typename V, typename R>
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void get_hist(const V& img_view, R& hist) {
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gray_image_hist(color_converted_view<gray8_pixel_t>(img_view), hist);
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}
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// testing custom color conversion
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template <typename C1, typename C2>
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struct my_color_converter_impl : public default_color_converter_impl<C1,C2> {};
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template <typename C1>
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struct my_color_converter_impl<C1,gray_t> {
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template <typename P1, typename P2>
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void operator()(const P1& src, P2& dst) const {
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default_color_converter_impl<C1,gray_t>()(src,dst);
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get_color(dst,gray_color_t())=channel_invert(get_color(dst,gray_color_t()));
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}
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};
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struct my_color_converter {
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template <typename SrcP,typename DstP>
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void operator()(const SrcP& src,DstP& dst) const {
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using src_cs_t = typename color_space_type<SrcP>::type;
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using dst_cs_t = typename color_space_type<DstP>::type;
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my_color_converter_impl<src_cs_t,dst_cs_t>()(src,dst);
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}
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};
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/// Models a Unary Function
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/// \tparam P models PixelValueConcept
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template <typename P>
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struct mandelbrot_fn
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{
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using point_t = boost::gil::point_t;
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using const_t = mandelbrot_fn<P>;
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using value_type = P;
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using reference = value_type;
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using const_reference = value_type;
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using argument_type = point_t;
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using result_type = reference;
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static constexpr bool is_mutable = false;
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value_type _in_color,_out_color;
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point_t _img_size;
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static const int MAX_ITER=100; // max number of iterations
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mandelbrot_fn() {}
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mandelbrot_fn(const point_t& sz, const value_type& in_color, const value_type& out_color) : _in_color(in_color), _out_color(out_color), _img_size(sz) {}
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result_type operator()(const point_t& p) const {
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// normalize the coords to (-2..1, -1.5..1.5)
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// (actually make y -1.0..2 so it is asymmetric, so we can verify some view factory methods)
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double t=get_num_iter(point<double>(p.x/(double)_img_size.x*3-2, p.y/(double)_img_size.y*3-1.0f));//1.5f));
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t=pow(t,0.2);
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value_type ret;
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for (int k=0; k<num_channels<P>::value; ++k)
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ret[k]=(typename channel_type<value_type>::type)(_in_color[k]*t + _out_color[k]*(1-t));
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return ret;
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}
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private:
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double get_num_iter(const point<double>& p) const {
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point<double> Z(0,0);
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for (int i=0; i<MAX_ITER; ++i) {
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Z = point<double>(Z.x*Z.x - Z.y*Z.y + p.x, 2*Z.x*Z.y + p.y);
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if (Z.x*Z.x + Z.y*Z.y > 4)
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return i/(double)MAX_ITER;
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}
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return 0;
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}
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};
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template <typename T>
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void x_gradient(const T& src, const gray8s_view_t& dst) {
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for (int y=0; y<src.height(); ++y) {
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typename T::x_iterator src_it = src.row_begin(y);
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gray8s_view_t::x_iterator dst_it = dst.row_begin(y);
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for (int x=1; x<src.width()-1; ++x)
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dst_it[x] = (src_it[x+1] - src_it[x-1]) / 2;
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}
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}
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// A quick test whether a view is homogeneous
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template <typename Pixel>
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struct pixel_is_homogeneous : public std::true_type {};
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template <typename P, typename C, typename L>
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struct pixel_is_homogeneous<packed_pixel<P,C,L> > : public std::false_type {};
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template <typename View>
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struct view_is_homogeneous : public pixel_is_homogeneous<typename View::value_type> {};
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////////////////////////////////////////////////////
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///
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/// Tests image view transformations and algorithms
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///
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////////////////////////////////////////////////////
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class image_test {
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public:
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virtual void initialize() {}
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virtual void finalize() {}
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virtual ~image_test() {}
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void run();
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protected:
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virtual void check_view_impl(const rgb8c_view_t& view, const string& name)=0;
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template <typename View>
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void check_view(const View& img_view, const string& name) {
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rgb8_image_t rgb_img(img_view.dimensions());
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copy_and_convert_pixels(img_view,view(rgb_img));
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check_view_impl(const_view(rgb_img), name);
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}
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private:
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template <typename Img> void basic_test(const string& prefix);
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template <typename View> void view_transformations_test(const View& img_view, const string& prefix);
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template <typename View> void homogeneous_view_transformations_test(const View& img_view, const string& prefix, std::true_type);
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template <typename View> void homogeneous_view_transformations_test(const View& img_view, const string& prefix, std::false_type)
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{
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boost::ignore_unused(img_view);
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boost::ignore_unused(prefix);
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}
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template <typename View> void histogram_test(const View& img_view, const string& prefix);
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void virtual_view_test();
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void packed_image_test();
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void dynamic_image_test();
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template <typename Img> void image_all_test(const string& prefix);
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};
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// testing image iterators, clone, fill, locators, color convert
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template <typename Img>
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void image_test::basic_test(const string& prefix) {
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using View = typename Img::view_t;
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// make a 20x20 image
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Img img(typename View::point_t(20,20));
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const View& img_view=view(img);
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// fill it with red
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rgb8_pixel_t red8(255,0,0), green8(0,255,0), blue8(0,0,255), white8(255,255,255);
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typename View::value_type red,green,blue,white;
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color_convert(red8,red);
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default_color_converter()(red8,red);
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red=color_convert_deref_fn<rgb8_ref_t,typename Img::view_t::value_type>()(red8);
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color_convert(green8,green);
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color_convert(blue8,blue);
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color_convert(white8,white);
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fill(img_view.begin(),img_view.end(),red);
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color_convert(red8,img_view[0]);
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// pointer to first pixel of second row
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typename View::reference rt=img_view.at(0,0)[img_view.width()];
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typename View::x_iterator ptr=&rt;
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typename View::reference rt2=*(img_view.at(0,0)+img_view.width());
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typename View::x_iterator ptr2=&rt2;
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error_if(ptr!=ptr2);
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error_if(img_view.x_at(0,0)+10!=10+img_view.x_at(0,0));
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// draw a blue line along the diagonal
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typename View::xy_locator loc=img_view.xy_at(0,img_view.height()-1);
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for (int y=0; y<img_view.height(); ++y) {
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*loc=blue;
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++loc.x();
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loc.y()--;
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}
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// draw a green dotted line along the main diagonal with step of 3
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loc=img_view.xy_at(img_view.width()-1,img_view.height()-1);
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while (loc.x()>=img_view.x_at(0,0)) {
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*loc=green;
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loc-=typename View::point_t(3,3);
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}
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// Clone and make every red pixel white
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Img imgWhite(img);
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for (typename View::iterator it=view(imgWhite).end(); (it-1)!=view(imgWhite).begin(); --it) {
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if (*(it-1)==red)
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*(it-1)=white;
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}
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check_view(img_view,prefix+"red_x");
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check_view(view(imgWhite),prefix+"white_x");
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}
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template <typename View>
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void image_test::histogram_test(const View& img_view, const string& prefix) {
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// vector<int> histogram(255,0);
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// get_hist(cropped,histogram.begin());
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unsigned char histogram[256];
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fill(histogram,histogram+256,0);
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get_hist(img_view,histogram);
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gray8c_view_t hist_view=interleaved_view(256,1,(const gray8_pixel_t*)histogram,256);
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check_view(hist_view,prefix+"histogram");
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}
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template <typename View>
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void image_test::view_transformations_test(const View& img_view, const string& prefix) {
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check_view(img_view,prefix+"original");
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check_view(subimage_view(img_view, iround(img_view.dimensions()/4), iround(img_view.dimensions()/2)),prefix+"cropped");
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check_view(color_converted_view<gray8_pixel_t>(img_view),prefix+"gray8");
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check_view(color_converted_view<gray8_pixel_t>(img_view,my_color_converter()),prefix+"my_gray8");
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check_view(transposed_view(img_view),prefix+"transpose");
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check_view(rotated180_view(img_view),prefix+"rot180");
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check_view(rotated90cw_view(img_view),prefix+"90cw");
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check_view(rotated90ccw_view(img_view),prefix+"90ccw");
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check_view(flipped_up_down_view(img_view),prefix+"flipped_ud");
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check_view(flipped_left_right_view(img_view),prefix+"flipped_lr");
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check_view(subsampled_view(img_view,typename View::point_t(2,1)),prefix+"subsampled");
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check_view(kth_channel_view<0>(img_view),prefix+"0th_k_channel");
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homogeneous_view_transformations_test(img_view, prefix, view_is_homogeneous<View>());
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}
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template <typename View>
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void image_test::homogeneous_view_transformations_test(const View& img_view, const string& prefix, std::true_type) {
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check_view(nth_channel_view(img_view,0),prefix+"0th_n_channel");
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}
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void image_test::virtual_view_test()
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{
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using deref_t = mandelbrot_fn<rgb8_pixel_t>;
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using point_t = deref_t::point_t;
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using locator_t = virtual_2d_locator<deref_t, false>;
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using my_virt_view_t = image_view<locator_t>;
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boost::function_requires<PixelLocatorConcept<locator_t> >();
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gil_function_requires<StepIteratorConcept<locator_t::x_iterator> >();
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point_t dims(200,200);
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my_virt_view_t mandel(dims, locator_t(point_t(0,0), point_t(1,1), deref_t(dims, rgb8_pixel_t(255,0,255), rgb8_pixel_t(0,255,0))));
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gray8s_image_t img(dims);
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fill_pixels(view(img),0); // our x_gradient algorithm doesn't change the first & last column, so make sure they are 0
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x_gradient(color_converted_view<gray8_pixel_t>(mandel), view(img));
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check_view(color_converted_view<gray8_pixel_t>(const_view(img)), "mandelLuminosityGradient");
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view_transformations_test(mandel,"virtual_");
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histogram_test(mandel,"virtual_");
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}
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// Test alignment and packed images
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void image_test::packed_image_test()
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{
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using bgr131_image_t = bit_aligned_image3_type<1,3,1, bgr_layout_t>::type;
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using bgr131_pixel_t = bgr131_image_t::value_type;
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bgr131_pixel_t fill_val(1,3,1);
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bgr131_image_t bgr131_img(3,10);
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fill_pixels(view(bgr131_img), fill_val);
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bgr131_image_t bgr131a_img(3,10,1);
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copy_pixels(const_view(bgr131_img), view(bgr131a_img));
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bgr131_image_t bgr131b_img(3,10,4);
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copy_pixels(const_view(bgr131_img), view(bgr131b_img));
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error_if(bgr131_img!=bgr131a_img || bgr131a_img!=bgr131b_img);
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}
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void image_test::dynamic_image_test()
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{
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using any_image_t = any_image
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<
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mp11::mp_list
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<
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gray8_image_t,
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bgr8_image_t,
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argb8_image_t,
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rgb8_image_t,
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rgb8_planar_image_t
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>
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>;
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rgb8_planar_image_t img(sample_view.dimensions());
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copy_pixels(sample_view, view(img));
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any_image_t any_img=any_image_t(img);
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check_view(view(any_img), "dynamic_");
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check_view(flipped_left_right_view(view(any_img)), "dynamic_fliplr");
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check_view(flipped_up_down_view(view(any_img)), "dynamic_flipud");
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any_image_t::view_t subimageView=subimage_view(view(any_img),0,0,10,15);
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check_view(subimageView, "dynamic_subimage");
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check_view(subsampled_view(rotated180_view(view(any_img)), 2,1), "dynamic_subimage_subsampled180rot");
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}
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template <typename Img>
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void image_test::image_all_test(const string& prefix) {
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basic_test<Img>(prefix+"basic_");
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Img img;
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img.recreate(sample_view.dimensions());
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copy_and_convert_pixels(sample_view,view(img));
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view_transformations_test(view(img), prefix+"views_");
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histogram_test(const_view(img),prefix+"histogram_");
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}
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void image_test::run() {
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initialize();
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image_all_test<bgr8_image_t>("bgr8_");
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image_all_test<rgb8_image_t>("rgb8_");
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image_all_test<rgb8_planar_image_t>("planarrgb8_");
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image_all_test<gray8_image_t>("gray8_");
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using bgr121_ref_t = bit_aligned_pixel_reference
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<
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boost::uint8_t,
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mp11::mp_list_c<int, 1, 2, 1>,
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bgr_layout_t,
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true
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> const;
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using bgr121_image_t = image<bgr121_ref_t, false>;
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image_all_test<bgr121_image_t>("bgr121_");
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// TODO: Remove?
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view_transformations_test(subsampled_view(sample_view, point_t(1,2)), "subsampled_");
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view_transformations_test(color_converted_view<gray8_pixel_t>(sample_view),"color_converted_");
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virtual_view_test();
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packed_image_test();
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dynamic_image_test();
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finalize();
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}
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////////////////////////////////////////////////////
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///
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/// Performs or generates image tests using checksums
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///
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////////////////////////////////////////////////////
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class checksum_image_mgr : public image_test
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{
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protected:
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using crc_map_t = map<string, boost::crc_32_type::value_type>;
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crc_map_t _crc_map;
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};
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////////////////////////////////////////////////////
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///
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/// Performs image tests by comparing image pixel checksums against a reference
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///
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////////////////////////////////////////////////////
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class checksum_image_test : public checksum_image_mgr {
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public:
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checksum_image_test(const char* filename) : _filename(filename) {}
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private:
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const char* _filename;
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void initialize() override;
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void check_view_impl(const rgb8c_view_t& v, const string& name) override;
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};
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// Load the checksums from the reference file and create the start image
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void checksum_image_test::initialize() {
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boost::crc_32_type::value_type crc_result;
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fstream checksum_ref(_filename,ios::in);
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while (true) {
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string crc_name;
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checksum_ref >> crc_name >> std::hex >> crc_result;
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if(checksum_ref.fail()) break;
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if (!crc_name.empty() && crc_name[0] == '#')
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{
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crc_result = 0; // skip test case
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crc_name = crc_name.substr(1);
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}
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_crc_map[crc_name]=crc_result;
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}
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checksum_ref.close();
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}
|
|
|
|
// Create a checksum for the given view and compare it with the reference checksum. Throw exception if different
|
|
void checksum_image_test::check_view_impl(const rgb8c_view_t& img_view, const string& name) {
|
|
boost::crc_32_type checksum_acumulator;
|
|
checksum_acumulator.process_bytes(img_view.row_begin(0),img_view.size()*3);
|
|
unsigned int const crc_expect = _crc_map[name];
|
|
if (crc_expect == 0)
|
|
{
|
|
cerr << "Skipping checksum check for " << name << " (crc=0)" << endl;
|
|
return;
|
|
}
|
|
|
|
boost::crc_32_type::value_type const crc = checksum_acumulator.checksum();
|
|
if (crc==crc_expect) {
|
|
cerr << "Checking checksum for " << name << " (crc=" << std::hex << crc << ")" << endl;
|
|
}
|
|
else {
|
|
cerr << "Checksum error in " << name
|
|
<< " (crc=" << std::hex << crc << " != " << std::hex << crc_expect << ")" << endl;
|
|
error_if(true);
|
|
}
|
|
}
|
|
|
|
////////////////////////////////////////////////////
|
|
///
|
|
/// Generates a set of reference checksums to compare against
|
|
///
|
|
////////////////////////////////////////////////////
|
|
|
|
class checksum_image_generate : public checksum_image_mgr {
|
|
public:
|
|
checksum_image_generate(const char* filename) : _filename(filename) {}
|
|
private:
|
|
const char* _filename;
|
|
void check_view_impl(const rgb8c_view_t& img_view, const string& name) override;
|
|
void finalize() override;
|
|
};
|
|
|
|
// Add the checksum of the given view to the map of checksums
|
|
void checksum_image_generate::check_view_impl(const rgb8c_view_t& img_view, const string& name) {
|
|
boost::crc_32_type result;
|
|
result.process_bytes(img_view.row_begin(0),img_view.size()*3);
|
|
cerr << "Generating checksum for " << name << endl;
|
|
_crc_map[name] = result.checksum();
|
|
}
|
|
|
|
// Save the checksums into the reference file
|
|
void checksum_image_generate::finalize() {
|
|
fstream checksum_ref(_filename,ios::out);
|
|
for (crc_map_t::const_iterator it=_crc_map.begin(); it!=_crc_map.end(); ++it) {
|
|
checksum_ref << it->first << " " << std::hex << it->second << "\r\n";
|
|
}
|
|
checksum_ref.close();
|
|
}
|
|
|
|
////////////////////////////////////////////////////
|
|
///
|
|
/// Performs or generates image tests using image I/O
|
|
///
|
|
////////////////////////////////////////////////////
|
|
|
|
extern const string in_dir;
|
|
extern const string out_dir;
|
|
extern const string ref_dir;
|
|
|
|
const string in_dir=""; // directory of source images
|
|
const string out_dir=in_dir+"image-out/"; // directory where to write output
|
|
const string ref_dir=in_dir+"image-ref/"; // reference directory to compare written with actual output
|
|
|
|
void static_checks() {
|
|
gil_function_requires<ImageConcept<rgb8_image_t> >();
|
|
|
|
static_assert(view_is_basic<rgb8_step_view_t>::value, "");
|
|
static_assert(view_is_basic<cmyk8c_planar_step_view_t>::value, "");
|
|
static_assert(view_is_basic<rgb8_planar_view_t>::value, "");
|
|
|
|
static_assert(view_is_step_in_x<rgb8_step_view_t>::value, "");
|
|
static_assert(view_is_step_in_x<cmyk8c_planar_step_view_t>::value, "");
|
|
static_assert(!view_is_step_in_x<rgb8_planar_view_t>::value, "");
|
|
|
|
static_assert(!is_planar<rgb8_step_view_t>::value, "");
|
|
static_assert(is_planar<cmyk8c_planar_step_view_t>::value, "");
|
|
static_assert(is_planar<rgb8_planar_view_t>::value, "");
|
|
|
|
static_assert(view_is_mutable<rgb8_step_view_t>::value, "");
|
|
static_assert(!view_is_mutable<cmyk8c_planar_step_view_t>::value, "");
|
|
static_assert(view_is_mutable<rgb8_planar_view_t>::value, "");
|
|
|
|
static_assert(std::is_same
|
|
<
|
|
derived_view_type<cmyk8c_planar_step_view_t>::type,
|
|
cmyk8c_planar_step_view_t
|
|
>::value, "");
|
|
static_assert(std::is_same
|
|
<
|
|
derived_view_type
|
|
<
|
|
cmyk8c_planar_step_view_t, std::uint16_t, rgb_layout_t
|
|
>::type,
|
|
rgb16c_planar_step_view_t
|
|
>::value, "");
|
|
static_assert(std::is_same
|
|
<
|
|
derived_view_type
|
|
<
|
|
cmyk8c_planar_step_view_t, use_default, rgb_layout_t, std::false_type, use_default, std::false_type
|
|
>::type,
|
|
rgb8c_step_view_t
|
|
>::value, "");
|
|
|
|
// test view get raw data (mostly compile-time test)
|
|
{
|
|
rgb8_image_t rgb8(100,100);
|
|
unsigned char* data=interleaved_view_get_raw_data(view(rgb8));
|
|
const unsigned char* cdata=interleaved_view_get_raw_data(const_view(rgb8));
|
|
error_if(data!=cdata);
|
|
}
|
|
|
|
{
|
|
rgb16s_planar_image_t rgb8(100,100);
|
|
short* data=planar_view_get_raw_data(view(rgb8),1);
|
|
const short* cdata=planar_view_get_raw_data(const_view(rgb8),1);
|
|
error_if(data!=cdata);
|
|
}
|
|
}
|
|
|
|
using image_test_t = checksum_image_test;
|
|
using image_generate_t = checksum_image_generate;
|
|
|
|
#ifdef BOOST_GIL_GENERATE_REFERENCE_DATA
|
|
using image_mgr_t = image_generate_t;
|
|
#else
|
|
using image_mgr_t = image_test_t;
|
|
#endif
|
|
|
|
void test_image(const char* ref_checksum) {
|
|
image_mgr_t mgr(ref_checksum);
|
|
|
|
cerr << "Reading checksums from " << ref_checksum << endl;
|
|
mgr.run();
|
|
static_checks();
|
|
}
|
|
|
|
int main(int argc, char* argv[])
|
|
{
|
|
try
|
|
{
|
|
if (argc != 2)
|
|
throw std::runtime_error("No file with reference checksums specified");
|
|
|
|
std::string local_name = argv[1];
|
|
std::ifstream file_is_there(local_name.c_str());
|
|
if (!file_is_there)
|
|
throw std::runtime_error("Unable to open gil_reference_checksums.txt");
|
|
|
|
test_image(local_name.c_str());
|
|
|
|
return EXIT_SUCCESS;
|
|
}
|
|
catch (std::exception const& e)
|
|
{
|
|
std::cerr << e.what() << std::endl;
|
|
return EXIT_FAILURE;
|
|
}
|
|
catch (...)
|
|
{
|
|
return EXIT_FAILURE;
|
|
}
|
|
}
|