105 lines
3.5 KiB
C++
105 lines
3.5 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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#ifndef BOOST_GIL_DEVICE_N_HPP
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#define BOOST_GIL_DEVICE_N_HPP
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#include <boost/gil/metafunctions.hpp>
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#include <boost/gil/utilities.hpp>
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#include <boost/gil/detail/mp11.hpp>
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#include <boost/config.hpp>
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#include <cstddef>
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#include <type_traits>
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namespace boost { namespace gil {
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// TODO: Document the DeviceN Color Space and Color Model
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// with reference to the Adobe documentation
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// https://www.adobe.com/content/dam/acom/en/devnet/postscript/pdfs/TN5604.DeviceN_Color.pdf
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/// \brief unnamed color
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/// \ingroup ColorNameModel
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template <int N>
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struct devicen_color_t {};
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template <int N>
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struct devicen_t;
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/// \brief Unnamed color space of 1, 2, 3, 4, or 5 channels
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/// \tparam N Number of color components (1, 2, 3, 4 or 5).
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/// \ingroup ColorSpaceModel
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template <int N>
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struct devicen_t
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{
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private:
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template <typename T>
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using color_t = devicen_color_t<T::value>;
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static_assert(
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(1 <= N && N <= 5),
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"invalid number of DeviceN color components");
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public:
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using type = mp11::mp_transform<color_t, mp11::mp_iota_c<N>>;
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};
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/// \brief unnamed color layout of up to five channels
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/// \ingroup LayoutModel
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template <int N>
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struct devicen_layout_t : layout<typename devicen_t<N>::type> {};
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/// \ingroup ImageViewConstructors
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/// \brief from 2-channel planar data
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template <typename IC>
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inline
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auto planar_devicen_view(std::size_t width, std::size_t height, IC c0, IC c1, std::ptrdiff_t rowsize_in_bytes)
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-> typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<2>>>::view_t
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{
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using view_t = typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<2>>>::view_t;
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return view_t(width, height, typename view_t::locator(typename view_t::x_iterator(c0,c1), rowsize_in_bytes));
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}
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/// \ingroup ImageViewConstructors
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/// \brief from 3-channel planar data
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template <typename IC>
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inline
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auto planar_devicen_view(std::size_t width, std::size_t height, IC c0, IC c1, IC c2, std::ptrdiff_t rowsize_in_bytes)
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-> typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<3>>>::view_t
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{
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using view_t = typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<3>>>::view_t;
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return view_t(width, height, typename view_t::locator(typename view_t::x_iterator(c0,c1,c2), rowsize_in_bytes));
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}
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/// \ingroup ImageViewConstructors
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/// \brief from 4-channel planar data
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template <typename IC>
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inline
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auto planar_devicen_view(std::size_t width, std::size_t height, IC c0, IC c1, IC c2, IC c3, std::ptrdiff_t rowsize_in_bytes)
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-> typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<4>>>::view_t
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{
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using view_t = typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<4>>>::view_t;
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return view_t(width, height, typename view_t::locator(typename view_t::x_iterator(c0,c1,c2,c3), rowsize_in_bytes));
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}
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/// \ingroup ImageViewConstructors
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/// \brief from 5-channel planar data
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template <typename IC>
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inline
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auto planar_devicen_view(std::size_t width, std::size_t height, IC c0, IC c1, IC c2, IC c3, IC c4, std::ptrdiff_t rowsize_in_bytes)
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-> typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<5>>>::view_t
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{
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using view_t = typename type_from_x_iterator<planar_pixel_iterator<IC,devicen_t<5>>>::view_t;
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return view_t(width, height, typename view_t::locator(typename view_t::x_iterator(c0,c1,c2,c3,c4), rowsize_in_bytes));
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}
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}} // namespace boost::gil
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#endif
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