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85fad1504a
* G-API: First steps with tutorial * G-API Tutorial: First iteration * G-API port of anisotropic image segmentation tutorial; * Currently works via OpenCV only; * Some new kernels have been required. * G-API Tutorial: added chapters on execution code, inspection, and profiling * G-API Tutorial: make Fluid kernel headers public For some reason, these headers were not moved to the public headers subtree during the initial development. Somehow it even worked for the existing workloads. * G-API Tutorial: Fix a couple of issues found during the work * Introduced Phase & Sqrt kernels, OCV & Fluid versions * Extended GKernelPackage to allow kernel removal & policies on include() All the above stuff needs to be tested, tests will be added later * G-API Tutorial: added chapter on running Fluid backend * G-API Tutorial: fix a number of issues in the text * G-API Tutorial - some final updates - Fixed post-merge issues after Sobel kernel renaming; - Simplified G-API code a little bit; - Put a conclusion note in text. * G-API Tutorial - fix build issues in test/perf targets Public headers were refactored but tests suites were not updated in time * G-API Tutorial: Added tests & reference docs on new kernels * Phase * Sqrt * G-API Tutorial: added link to the tutorial from the main module doc * G-API Tutorial: Added tests on new GKernelPackage functionality * G-API Tutorial: Extended InRange tests to cover 32F * G-API Tutorial: Misc fixes * Avoid building examples when gapi module is not there * Added a volatile API disclaimer to G-API root documentation page * G-API Tutorial: Fix perf tests build issue This change came from master where Fluid kernels are still used incorrectly. * G-API Tutorial: Fixed channels support in Sqrt/Phase fluid kernels Extended tests to cover this case * G-API Tutorial: Fix text problems found on team review
148 lines
5.1 KiB
C++
148 lines
5.1 KiB
C++
// 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 Intel Corporation
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#include "precomp.hpp"
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#include <iostream> // cerr
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#include <functional> // hash
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#include <numeric> // accumulate
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#include <ade/util/algorithm.hpp>
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#include "logger.hpp"
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#include "opencv2/gapi/gkernel.hpp"
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#include "api/gbackend_priv.hpp"
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// GKernelPackage public implementation ////////////////////////////////////////
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void cv::gapi::GKernelPackage::remove(const cv::gapi::GBackend& backend)
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{
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m_backend_kernels.erase(backend);
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}
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bool cv::gapi::GKernelPackage::includesAPI(const std::string &id) const
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{
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// In current form not very efficient (n * log n)
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auto it = std::find_if(m_backend_kernels.begin(),
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m_backend_kernels.end(),
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[&id](const M::value_type &p) {
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return ade::util::contains(p.second, id);
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});
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return (it != m_backend_kernels.end());
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}
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void cv::gapi::GKernelPackage::removeAPI(const std::string &id)
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{
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for (auto &bk : m_backend_kernels)
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bk.second.erase(id);
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}
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std::size_t cv::gapi::GKernelPackage::size() const
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{
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return std::accumulate(m_backend_kernels.begin(),
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m_backend_kernels.end(),
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static_cast<std::size_t>(0u),
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[](std::size_t acc, const M::value_type& v) {
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return acc + v.second.size();
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});
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}
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cv::gapi::GKernelPackage cv::gapi::combine(const GKernelPackage &lhs,
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const GKernelPackage &rhs,
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const cv::unite_policy policy)
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{
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if (policy == cv::unite_policy::REPLACE)
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{
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// REPLACE policy: if there is a collision, prefer RHS
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// to LHS
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// since RHS package has a precedense, start with its copy
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GKernelPackage result(rhs);
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// now iterate over LHS package and put kernel if and only
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// if there's no such one
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for (const auto &backend : lhs.m_backend_kernels)
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{
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for (const auto &kimpl : backend.second)
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{
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if (!result.includesAPI(kimpl.first))
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result.m_backend_kernels[backend.first].insert(kimpl);
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}
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}
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return result;
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}
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else if (policy == cv::unite_policy::KEEP)
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{
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// KEEP policy: if there is a collision, just keep two versions
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// of a kernel
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GKernelPackage result(lhs);
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for (const auto &p : rhs.m_backend_kernels)
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{
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result.m_backend_kernels[p.first].insert(p.second.begin(),
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p.second.end());
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}
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return result;
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}
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else GAPI_Assert(false);
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return GKernelPackage();
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}
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std::pair<cv::gapi::GBackend, cv::GKernelImpl>
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cv::gapi::GKernelPackage::lookup(const std::string &id,
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const GLookupOrder &order) const
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{
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if (order.empty())
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{
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// If order is empty, return what comes first
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auto it = std::find_if(m_backend_kernels.begin(),
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m_backend_kernels.end(),
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[&id](const M::value_type &p) {
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return ade::util::contains(p.second, id);
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});
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if (it != m_backend_kernels.end())
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{
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// FIXME: Two lookups!
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return std::make_pair(it->first, it->second.find(id)->second);
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}
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}
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else
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{
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// There is order, so:
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// 1. Limit search scope only to specified backends
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// FIXME: Currently it is not configurable if search can fall-back
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// to other backends (not listed in order) if kernel hasn't been found
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// in the look-up list
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// 2. Query backends in the specified order
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for (const auto &selected_backend : order)
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{
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const auto kernels_it = m_backend_kernels.find(selected_backend);
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if (kernels_it == m_backend_kernels.end())
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{
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GAPI_LOG_WARNING(NULL,
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"Backend "
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<< &selected_backend.priv() // FIXME: name instead
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<< " was listed in lookup list but was not found "
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"in the package");
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continue;
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}
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if (ade::util::contains(kernels_it->second, id))
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{
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// FIXME: two lookups!
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return std::make_pair(selected_backend, kernels_it->second.find(id)->second);
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}
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}
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}
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// If reached here, kernel was not found among selected backends.
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util::throw_error(std::logic_error("Kernel " + id + " was not found"));
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}
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std::vector<cv::gapi::GBackend> cv::gapi::GKernelPackage::backends() const
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{
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std::vector<cv::gapi::GBackend> result;
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for (const auto &p : m_backend_kernels) result.emplace_back(p.first);
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return result;
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}
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