142 lines
4.6 KiB
C++
142 lines
4.6 KiB
C++
//---------------------------------------------------------------------------//
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// Copyright (c) 2013-2014 Kyle Lutz <kyle.r.lutz@gmail.com>
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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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// See http://boostorg.github.com/compute for more information.
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//---------------------------------------------------------------------------//
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#ifndef BOOST_COMPUTE_INTEROP_OPENCV_CORE_HPP
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#define BOOST_COMPUTE_INTEROP_OPENCV_CORE_HPP
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#include <opencv2/core/core.hpp>
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#include <boost/throw_exception.hpp>
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#include <boost/compute/algorithm/copy_n.hpp>
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#include <boost/compute/exception/opencl_error.hpp>
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#include <boost/compute/image/image2d.hpp>
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#include <boost/compute/image/image_format.hpp>
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#include <boost/compute/iterator/buffer_iterator.hpp>
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namespace boost {
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namespace compute {
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template<class T>
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inline void opencv_copy_mat_to_buffer(const cv::Mat &mat,
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buffer_iterator<T> buffer,
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command_queue &queue = system::default_queue())
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{
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BOOST_ASSERT(mat.isContinuous());
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::boost::compute::copy_n(
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reinterpret_cast<T *>(mat.data), mat.rows * mat.cols, buffer, queue
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);
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}
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template<class T>
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inline void opencv_copy_buffer_to_mat(const buffer_iterator<T> buffer,
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cv::Mat &mat,
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command_queue &queue = system::default_queue())
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{
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BOOST_ASSERT(mat.isContinuous());
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::boost::compute::copy_n(
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buffer, mat.cols * mat.rows, reinterpret_cast<T *>(mat.data), queue
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);
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}
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inline void opencv_copy_mat_to_image(const cv::Mat &mat,
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image2d &image,
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command_queue &queue = system::default_queue())
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{
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BOOST_ASSERT(mat.data != 0);
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BOOST_ASSERT(mat.isContinuous());
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BOOST_ASSERT(image.get_context() == queue.get_context());
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queue.enqueue_write_image(image, image.origin(), image.size(), mat.data);
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}
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inline void opencv_copy_image_to_mat(const image2d &image,
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cv::Mat &mat,
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command_queue &queue = system::default_queue())
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{
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BOOST_ASSERT(mat.isContinuous());
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BOOST_ASSERT(image.get_context() == queue.get_context());
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queue.enqueue_read_image(image, image.origin(), image.size(), mat.data);
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}
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inline image_format opencv_get_mat_image_format(const cv::Mat &mat)
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{
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switch(mat.type()){
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case CV_8UC4:
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return image_format(CL_BGRA, CL_UNORM_INT8);
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case CV_16UC4:
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return image_format(CL_BGRA, CL_UNORM_INT16);
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case CV_32F:
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return image_format(CL_INTENSITY, CL_FLOAT);
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case CV_32FC4:
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return image_format(CL_RGBA, CL_FLOAT);
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case CV_8UC1:
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return image_format(CL_INTENSITY, CL_UNORM_INT8);
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}
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BOOST_THROW_EXCEPTION(opencl_error(CL_IMAGE_FORMAT_NOT_SUPPORTED));
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}
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inline cv::Mat opencv_create_mat_with_image2d(const image2d &image,
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command_queue &queue = system::default_queue())
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{
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BOOST_ASSERT(image.get_context() == queue.get_context());
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cv::Mat mat;
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image_format format = image.get_format();
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const cl_image_format *cl_image_format = format.get_format_ptr();
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if(cl_image_format->image_channel_data_type == CL_UNORM_INT8 &&
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cl_image_format->image_channel_order == CL_BGRA)
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{
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mat = cv::Mat(image.height(), image.width(), CV_8UC4);
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}
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else if(cl_image_format->image_channel_data_type == CL_UNORM_INT16 &&
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cl_image_format->image_channel_order == CL_BGRA)
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{
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mat = cv::Mat(image.height(), image.width(), CV_16UC4);
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}
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else if(cl_image_format->image_channel_data_type == CL_FLOAT &&
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cl_image_format->image_channel_order == CL_INTENSITY)
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{
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mat = cv::Mat(image.height(), image.width(), CV_32FC1);
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}
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else
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{
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mat = cv::Mat(image.height(), image.width(), CV_8UC1);
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}
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opencv_copy_image_to_mat(image, mat, queue);
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return mat;
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}
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inline image2d opencv_create_image2d_with_mat(const cv::Mat &mat,
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cl_mem_flags flags,
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command_queue &queue = system::default_queue())
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{
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const context &context = queue.get_context();
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const image_format format = opencv_get_mat_image_format(mat);
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image2d image(context, mat.cols, mat.rows, format, flags);
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opencv_copy_mat_to_image(mat, image, queue);
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return image;
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}
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} // end compute namespace
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} // end boost namespace
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#endif // BOOST_COMPUTE_INTEROP_OPENCV_CORE_HPP
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