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f96f934426
* Update Intel's Inference Engine deep learning backend * Remove cpu_extension dependency * Update Darknet accuracy tests
75 lines
2.9 KiB
C++
75 lines
2.9 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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//
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//M*/
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#ifndef __OPENCV_TEST_PRECOMP_HPP__
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#define __OPENCV_TEST_PRECOMP_HPP__
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#include "opencv2/ts.hpp"
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#include "opencv2/ts/ts_perf.hpp"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/core/ocl.hpp"
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#include "opencv2/dnn.hpp"
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#include "test_common.hpp"
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namespace opencv_test {
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using namespace cv::dnn;
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CV_ENUM(DNNBackend, DNN_BACKEND_DEFAULT, DNN_BACKEND_HALIDE, DNN_BACKEND_INFERENCE_ENGINE)
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CV_ENUM(DNNTarget, DNN_TARGET_CPU, DNN_TARGET_OPENCL, DNN_TARGET_OPENCL_FP16, DNN_TARGET_MYRIAD)
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static testing::internal::ParamGenerator<DNNTarget> availableDnnTargets()
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{
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static std::vector<DNNTarget> targets;
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if (targets.empty())
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{
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targets.push_back(DNN_TARGET_CPU);
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#ifdef HAVE_OPENCL
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if (cv::ocl::useOpenCL())
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targets.push_back(DNN_TARGET_OPENCL);
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#endif
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}
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return testing::ValuesIn(targets);
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}
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}
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#endif
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