534 lines
18 KiB
C++
534 lines
18 KiB
C++
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2018-2020 Intel Corporation
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#ifndef OPENCV_GAPI_GCPUKERNEL_HPP
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#define OPENCV_GAPI_GCPUKERNEL_HPP
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#include <functional>
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#include <unordered_map>
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#include <utility>
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#include <vector>
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#include <opencv2/core/mat.hpp>
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#include <opencv2/gapi/gcommon.hpp>
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#include <opencv2/gapi/gkernel.hpp>
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#include <opencv2/gapi/garg.hpp>
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#include <opencv2/gapi/gmetaarg.hpp>
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#include <opencv2/gapi/util/compiler_hints.hpp> //suppress_unused_warning
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#include <opencv2/gapi/util/util.hpp>
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// FIXME: namespace scheme for backends?
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namespace cv {
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namespace gimpl
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{
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// Forward-declare an internal class
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class GCPUExecutable;
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} // namespace gimpl
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namespace gapi
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{
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/**
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* @brief This namespace contains G-API CPU backend functions,
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* structures, and symbols.
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*/
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namespace cpu
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{
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/**
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* \addtogroup gapi_std_backends
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* @{
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*
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* @brief G-API backends available in this OpenCV version
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*
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* G-API backends play a corner stone role in G-API execution
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* stack. Every backend is hardware-oriented and thus can run its
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* kernels efficiently on the target platform.
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*
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* Backends are usually "black boxes" for G-API users -- on the API
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* side, all backends are represented as different objects of the
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* same class cv::gapi::GBackend.
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* User can manipulate with backends by specifying which kernels to use.
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*
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* @sa @ref gapi_hld
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*/
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/**
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* @brief Get a reference to CPU (OpenCV) backend.
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*
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* This is the default backend in G-API at the moment, providing
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* broader functional coverage but losing some graph model
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* advantages. Provided mostly for reference and prototyping
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* purposes.
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*
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* @sa gapi_std_backends
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*/
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GAPI_EXPORTS cv::gapi::GBackend backend();
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/** @} */
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class GOCVFunctor;
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//! @cond IGNORED
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template<typename K, typename Callable>
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GOCVFunctor ocv_kernel(const Callable& c);
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template<typename K, typename Callable>
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GOCVFunctor ocv_kernel(Callable& c);
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//! @endcond
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} // namespace cpu
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} // namespace gapi
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// Represents arguments which are passed to a wrapped CPU function
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// FIXME: put into detail?
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class GAPI_EXPORTS GCPUContext
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{
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public:
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// Generic accessor API
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template<typename T>
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const T& inArg(int input) { return m_args.at(input).get<T>(); }
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// Syntax sugar
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const cv::Mat& inMat(int input);
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cv::Mat& outMatR(int output); // FIXME: Avoid cv::Mat m = ctx.outMatR()
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const cv::Scalar& inVal(int input);
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cv::Scalar& outValR(int output); // FIXME: Avoid cv::Scalar s = ctx.outValR()
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cv::MediaFrame& outFrame(int output);
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template<typename T> std::vector<T>& outVecR(int output) // FIXME: the same issue
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{
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return outVecRef(output).wref<T>();
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}
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template<typename T> T& outOpaqueR(int output) // FIXME: the same issue
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{
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return outOpaqueRef(output).wref<T>();
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}
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GArg state()
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{
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return m_state;
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}
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protected:
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detail::VectorRef& outVecRef(int output);
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detail::OpaqueRef& outOpaqueRef(int output);
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std::vector<GArg> m_args;
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GArg m_state;
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//FIXME: avoid conversion of arguments from internal representation to OpenCV one on each call
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//to OCV kernel. (This can be achieved by a two single time conversions in GCPUExecutable::run,
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//once on enter for input and output arguments, and once before return for output arguments only
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std::unordered_map<std::size_t, GRunArgP> m_results;
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friend class gimpl::GCPUExecutable;
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};
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class GAPI_EXPORTS GCPUKernel
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{
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public:
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// This function is a kernel's execution entry point (does the processing work)
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using RunF = std::function<void(GCPUContext &)>;
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// This function is a stateful kernel's setup routine (configures state)
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using SetupF = std::function<void(const GMetaArgs &, const GArgs &,
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GArg &, const GCompileArgs &)>;
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GCPUKernel();
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GCPUKernel(const RunF& runF, const SetupF& setupF = nullptr);
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RunF m_runF = nullptr;
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SetupF m_setupF = nullptr;
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bool m_isStateful = false;
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};
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// FIXME: This is an ugly ad-hoc implementation. TODO: refactor
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namespace detail
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{
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template<class T> struct get_in;
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template<> struct get_in<cv::GMat>
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{
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static cv::Mat get(GCPUContext &ctx, int idx) { return ctx.inMat(idx); }
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};
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template<> struct get_in<cv::GMatP>
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{
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static cv::Mat get(GCPUContext &ctx, int idx) { return get_in<cv::GMat>::get(ctx, idx); }
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};
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template<> struct get_in<cv::GFrame>
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{
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static cv::MediaFrame get(GCPUContext &ctx, int idx) { return ctx.inArg<cv::MediaFrame>(idx); }
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};
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template<> struct get_in<cv::GScalar>
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{
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static cv::Scalar get(GCPUContext &ctx, int idx) { return ctx.inVal(idx); }
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};
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template<typename U> struct get_in<cv::GArray<U> >
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{
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static const std::vector<U>& get(GCPUContext &ctx, int idx) { return ctx.inArg<VectorRef>(idx).rref<U>(); }
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};
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template<typename U> struct get_in<cv::GOpaque<U> >
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{
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static const U& get(GCPUContext &ctx, int idx) { return ctx.inArg<OpaqueRef>(idx).rref<U>(); }
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};
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//FIXME(dm): GArray<Mat>/GArray<GMat> conversion should be done more gracefully in the system
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template<> struct get_in<cv::GArray<cv::GMat> >: public get_in<cv::GArray<cv::Mat> >
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{
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};
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//FIXME(dm): GArray<Scalar>/GArray<GScalar> conversion should be done more gracefully in the system
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template<> struct get_in<cv::GArray<cv::GScalar> >: public get_in<cv::GArray<cv::Scalar> >
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{
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};
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// FIXME(dm): GArray<vector<U>>/GArray<GArray<U>> conversion should be done more gracefully in the system
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template<typename U> struct get_in<cv::GArray<cv::GArray<U>> >: public get_in<cv::GArray<std::vector<U>> >
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{
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};
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//FIXME(dm): GOpaque<Mat>/GOpaque<GMat> conversion should be done more gracefully in the system
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template<> struct get_in<cv::GOpaque<cv::GMat> >: public get_in<cv::GOpaque<cv::Mat> >
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{
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};
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//FIXME(dm): GOpaque<Scalar>/GOpaque<GScalar> conversion should be done more gracefully in the system
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template<> struct get_in<cv::GOpaque<cv::GScalar> >: public get_in<cv::GOpaque<cv::Mat> >
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{
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};
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template<class T> struct get_in
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{
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static T get(GCPUContext &ctx, int idx) { return ctx.inArg<T>(idx); }
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};
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struct tracked_cv_mat{
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tracked_cv_mat(cv::Mat& m) : r{m}, original_data{m.data} {}
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cv::Mat r;
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uchar* original_data;
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operator cv::Mat& (){ return r;}
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void validate() const{
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if (r.data != original_data)
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{
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util::throw_error
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(std::logic_error
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("OpenCV kernel output parameter was reallocated. \n"
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"Incorrect meta data was provided ?"));
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}
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}
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};
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template<typename... Outputs>
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void postprocess(Outputs&... outs)
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{
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struct
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{
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void operator()(tracked_cv_mat* bm) { bm->validate(); }
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void operator()(...) { }
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} validate;
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//dummy array to unfold parameter pack
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int dummy[] = { 0, (validate(&outs), 0)... };
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cv::util::suppress_unused_warning(dummy);
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}
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template<class T> struct get_out;
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template<> struct get_out<cv::GMat>
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{
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static tracked_cv_mat get(GCPUContext &ctx, int idx)
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{
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auto& r = ctx.outMatR(idx);
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return {r};
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}
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};
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template<> struct get_out<cv::GMatP>
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{
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static tracked_cv_mat get(GCPUContext &ctx, int idx)
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{
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return get_out<cv::GMat>::get(ctx, idx);
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}
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};
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template<> struct get_out<cv::GScalar>
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{
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static cv::Scalar& get(GCPUContext &ctx, int idx)
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{
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return ctx.outValR(idx);
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}
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};
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template<> struct get_out<cv::GFrame>
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{
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static cv::MediaFrame& get(GCPUContext &ctx, int idx)
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{
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return ctx.outFrame(idx);
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}
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};
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template<typename U> struct get_out<cv::GArray<U>>
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{
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static std::vector<U>& get(GCPUContext &ctx, int idx)
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{
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return ctx.outVecR<U>(idx);
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}
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};
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//FIXME(dm): GArray<Mat>/GArray<GMat> conversion should be done more gracefully in the system
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template<> struct get_out<cv::GArray<cv::GMat> >: public get_out<cv::GArray<cv::Mat> >
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{
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};
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// FIXME(dm): GArray<vector<U>>/GArray<GArray<U>> conversion should be done more gracefully in the system
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template<typename U> struct get_out<cv::GArray<cv::GArray<U>> >: public get_out<cv::GArray<std::vector<U>> >
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{
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};
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template<typename U> struct get_out<cv::GOpaque<U>>
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{
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static U& get(GCPUContext &ctx, int idx)
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{
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return ctx.outOpaqueR<U>(idx);
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}
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};
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template<typename, typename>
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struct OCVSetupHelper;
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template<typename Impl, typename... Ins>
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struct OCVSetupHelper<Impl, std::tuple<Ins...>>
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{
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// Using 'auto' return type and 'decltype' specifier in both 'setup_impl' versions
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// to check existence of required 'Impl::setup' functions.
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// While 'decltype' specifier accepts expression we pass expression with 'comma-operator'
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// where first operand of comma-operator is call attempt to desired 'Impl::setup' and
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// the second operand is 'void()' expression.
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//
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// SFINAE for 'Impl::setup' which accepts compile arguments.
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template<int... IIs>
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static auto setup_impl(const GMetaArgs &metaArgs, const GArgs &args,
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GArg &state, const GCompileArgs &compileArgs,
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detail::Seq<IIs...>) ->
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decltype(Impl::setup(detail::get_in_meta<Ins>(metaArgs, args, IIs)...,
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std::declval<typename std::add_lvalue_reference<
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std::shared_ptr<typename Impl::State>
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>::type
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>(),
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compileArgs)
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, void())
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{
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// TODO: unique_ptr <-> shared_ptr conversion ?
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// To check: Conversion is possible only if the state which should be passed to
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// 'setup' user callback isn't required to have previous value
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std::shared_ptr<typename Impl::State> stPtr;
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Impl::setup(detail::get_in_meta<Ins>(metaArgs, args, IIs)..., stPtr, compileArgs);
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state = GArg(stPtr);
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}
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// SFINAE for 'Impl::setup' which doesn't accept compile arguments.
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template<int... IIs>
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static auto setup_impl(const GMetaArgs &metaArgs, const GArgs &args,
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GArg &state, const GCompileArgs &/* compileArgs */,
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detail::Seq<IIs...>) ->
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decltype(Impl::setup(detail::get_in_meta<Ins>(metaArgs, args, IIs)...,
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std::declval<typename std::add_lvalue_reference<
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std::shared_ptr<typename Impl::State>
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>::type
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>()
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)
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, void())
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{
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// The same comment as in 'setup' above.
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std::shared_ptr<typename Impl::State> stPtr;
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Impl::setup(detail::get_in_meta<Ins>(metaArgs, args, IIs)..., stPtr);
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state = GArg(stPtr);
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}
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static void setup(const GMetaArgs &metaArgs, const GArgs &args,
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GArg& state, const GCompileArgs &compileArgs)
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{
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setup_impl(metaArgs, args, state, compileArgs,
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typename detail::MkSeq<sizeof...(Ins)>::type());
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}
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};
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// OCVCallHelper is a helper class to call stateless OCV kernels and OCV kernel functors.
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template<typename, typename, typename>
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struct OCVCallHelper;
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// FIXME: probably can be simplified with std::apply or analogue.
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template<typename Impl, typename... Ins, typename... Outs>
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struct OCVCallHelper<Impl, std::tuple<Ins...>, std::tuple<Outs...>>
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{
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template<typename... Inputs>
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struct call_and_postprocess
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|
{
|
||
|
|
template<typename... Outputs>
|
||
|
|
static void call(Inputs&&... ins, Outputs&&... outs)
|
||
|
|
{
|
||
|
|
//not using a std::forward on outs is deliberate in order to
|
||
|
|
//cause compilation error, by trying to bind rvalue references to lvalue references
|
||
|
|
Impl::run(std::forward<Inputs>(ins)..., outs...);
|
||
|
|
postprocess(outs...);
|
||
|
|
}
|
||
|
|
|
||
|
|
template<typename... Outputs>
|
||
|
|
static void call(Impl& impl, Inputs&&... ins, Outputs&&... outs)
|
||
|
|
{
|
||
|
|
impl(std::forward<Inputs>(ins)..., outs...);
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
template<int... IIs, int... OIs>
|
||
|
|
static void call_impl(GCPUContext &ctx, detail::Seq<IIs...>, detail::Seq<OIs...>)
|
||
|
|
{
|
||
|
|
//Make sure that OpenCV kernels do not reallocate memory for output parameters
|
||
|
|
//by comparing it's state (data ptr) before and after the call.
|
||
|
|
//This is done by converting each output Mat into tracked_cv_mat object, and binding
|
||
|
|
//them to parameters of ad-hoc function
|
||
|
|
call_and_postprocess<decltype(get_in<Ins>::get(ctx, IIs))...>
|
||
|
|
::call(get_in<Ins>::get(ctx, IIs)..., get_out<Outs>::get(ctx, OIs)...);
|
||
|
|
}
|
||
|
|
|
||
|
|
template<int... IIs, int... OIs>
|
||
|
|
static void call_impl(cv::GCPUContext &ctx, Impl& impl,
|
||
|
|
detail::Seq<IIs...>, detail::Seq<OIs...>)
|
||
|
|
{
|
||
|
|
call_and_postprocess<decltype(get_in<Ins>::get(ctx, IIs))...>
|
||
|
|
::call(impl, get_in<Ins>::get(ctx, IIs)..., get_out<Outs>::get(ctx, OIs)...);
|
||
|
|
}
|
||
|
|
|
||
|
|
static void call(GCPUContext &ctx)
|
||
|
|
{
|
||
|
|
call_impl(ctx,
|
||
|
|
typename detail::MkSeq<sizeof...(Ins)>::type(),
|
||
|
|
typename detail::MkSeq<sizeof...(Outs)>::type());
|
||
|
|
}
|
||
|
|
|
||
|
|
// NB: Same as call but calling the object
|
||
|
|
// This necessary for kernel implementations that have a state
|
||
|
|
// and are represented as an object
|
||
|
|
static void callFunctor(cv::GCPUContext &ctx, Impl& impl)
|
||
|
|
{
|
||
|
|
call_impl(ctx, impl,
|
||
|
|
typename detail::MkSeq<sizeof...(Ins)>::type(),
|
||
|
|
typename detail::MkSeq<sizeof...(Outs)>::type());
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
// OCVStCallHelper is a helper class to call stateful OCV kernels.
|
||
|
|
template<typename, typename, typename>
|
||
|
|
struct OCVStCallHelper;
|
||
|
|
|
||
|
|
template<typename Impl, typename... Ins, typename... Outs>
|
||
|
|
struct OCVStCallHelper<Impl, std::tuple<Ins...>, std::tuple<Outs...>> :
|
||
|
|
OCVCallHelper<Impl, std::tuple<Ins...>, std::tuple<Outs...>>
|
||
|
|
{
|
||
|
|
template<typename... Inputs>
|
||
|
|
struct call_and_postprocess
|
||
|
|
{
|
||
|
|
template<typename... Outputs>
|
||
|
|
static void call(typename Impl::State& st, Inputs&&... ins, Outputs&&... outs)
|
||
|
|
{
|
||
|
|
Impl::run(std::forward<Inputs>(ins)..., outs..., st);
|
||
|
|
postprocess(outs...);
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
template<int... IIs, int... OIs>
|
||
|
|
static void call_impl(GCPUContext &ctx, detail::Seq<IIs...>, detail::Seq<OIs...>)
|
||
|
|
{
|
||
|
|
auto& st = *ctx.state().get<std::shared_ptr<typename Impl::State>>();
|
||
|
|
call_and_postprocess<decltype(get_in<Ins>::get(ctx, IIs))...>
|
||
|
|
::call(st, get_in<Ins>::get(ctx, IIs)..., get_out<Outs>::get(ctx, OIs)...);
|
||
|
|
}
|
||
|
|
|
||
|
|
static void call(GCPUContext &ctx)
|
||
|
|
{
|
||
|
|
call_impl(ctx,
|
||
|
|
typename detail::MkSeq<sizeof...(Ins)>::type(),
|
||
|
|
typename detail::MkSeq<sizeof...(Outs)>::type());
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
} // namespace detail
|
||
|
|
|
||
|
|
template<class Impl, class K>
|
||
|
|
class GCPUKernelImpl: public cv::detail::KernelTag
|
||
|
|
{
|
||
|
|
using CallHelper = cv::detail::OCVCallHelper<Impl, typename K::InArgs, typename K::OutArgs>;
|
||
|
|
|
||
|
|
public:
|
||
|
|
using API = K;
|
||
|
|
|
||
|
|
static cv::gapi::GBackend backend() { return cv::gapi::cpu::backend(); }
|
||
|
|
static cv::GCPUKernel kernel() { return GCPUKernel(&CallHelper::call); }
|
||
|
|
};
|
||
|
|
|
||
|
|
template<class Impl, class K, class S>
|
||
|
|
class GCPUStKernelImpl: public cv::detail::KernelTag
|
||
|
|
{
|
||
|
|
using StSetupHelper = detail::OCVSetupHelper<Impl, typename K::InArgs>;
|
||
|
|
using StCallHelper = detail::OCVStCallHelper<Impl, typename K::InArgs, typename K::OutArgs>;
|
||
|
|
|
||
|
|
public:
|
||
|
|
using API = K;
|
||
|
|
using State = S;
|
||
|
|
|
||
|
|
static cv::gapi::GBackend backend() { return cv::gapi::cpu::backend(); }
|
||
|
|
static cv::GCPUKernel kernel() { return GCPUKernel(&StCallHelper::call,
|
||
|
|
&StSetupHelper::setup); }
|
||
|
|
};
|
||
|
|
|
||
|
|
#define GAPI_OCV_KERNEL(Name, API) struct Name: public cv::GCPUKernelImpl<Name, API>
|
||
|
|
|
||
|
|
// TODO: Reuse Anatoliy's logic for support of types with commas in macro.
|
||
|
|
// Retrieve the common part from Anatoliy's logic to the separate place.
|
||
|
|
#define GAPI_OCV_KERNEL_ST(Name, API, State) \
|
||
|
|
struct Name: public cv::GCPUStKernelImpl<Name, API, State> \
|
||
|
|
|
||
|
|
/// @private
|
||
|
|
class gapi::cpu::GOCVFunctor : public gapi::GFunctor
|
||
|
|
{
|
||
|
|
public:
|
||
|
|
using Impl = std::function<void(GCPUContext &)>;
|
||
|
|
using Meta = cv::GKernel::M;
|
||
|
|
|
||
|
|
GOCVFunctor(const char* id, const Meta &meta, const Impl& impl)
|
||
|
|
: gapi::GFunctor(id), impl_{GCPUKernel(impl), meta}
|
||
|
|
{
|
||
|
|
}
|
||
|
|
|
||
|
|
GKernelImpl impl() const override { return impl_; }
|
||
|
|
gapi::GBackend backend() const override { return gapi::cpu::backend(); }
|
||
|
|
|
||
|
|
private:
|
||
|
|
GKernelImpl impl_;
|
||
|
|
};
|
||
|
|
|
||
|
|
//! @cond IGNORED
|
||
|
|
template<typename K, typename Callable>
|
||
|
|
gapi::cpu::GOCVFunctor gapi::cpu::ocv_kernel(Callable& c)
|
||
|
|
{
|
||
|
|
using P = cv::detail::OCVCallHelper<Callable, typename K::InArgs, typename K::OutArgs>;
|
||
|
|
return GOCVFunctor{ K::id()
|
||
|
|
, &K::getOutMeta
|
||
|
|
, std::bind(&P::callFunctor, std::placeholders::_1, std::ref(c))
|
||
|
|
};
|
||
|
|
}
|
||
|
|
|
||
|
|
template<typename K, typename Callable>
|
||
|
|
gapi::cpu::GOCVFunctor gapi::cpu::ocv_kernel(const Callable& c)
|
||
|
|
{
|
||
|
|
using P = cv::detail::OCVCallHelper<Callable, typename K::InArgs, typename K::OutArgs>;
|
||
|
|
return GOCVFunctor{ K::id()
|
||
|
|
, &K::getOutMeta
|
||
|
|
, std::bind(&P::callFunctor, std::placeholders::_1, c)
|
||
|
|
};
|
||
|
|
}
|
||
|
|
//! @endcond
|
||
|
|
|
||
|
|
} // namespace cv
|
||
|
|
|
||
|
|
#endif // OPENCV_GAPI_GCPUKERNEL_HPP
|