test_threshold.cpp 3.61 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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#include "test_precomp.hpp"

#ifdef HAVE_CUDA

using namespace cvtest;

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CV_ENUM(ThreshOp, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV)
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PARAM_TEST_CASE(Threshold, cv::gpu::DeviceInfo, cv::Size, MatType, ThreshOp, UseRoi)
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{
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    cv::gpu::DeviceInfo devInfo;
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    cv::Size size;
    int type;
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    int threshOp;
    bool useRoi;
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    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        size = GET_PARAM(1);
        type = GET_PARAM(2);
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        threshOp = GET_PARAM(3);
        useRoi = GET_PARAM(4);
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        cv::gpu::setDevice(devInfo.deviceID());
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    }
};

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GPU_TEST_P(Threshold, Accuracy)
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{
    cv::Mat src = randomMat(size, type);
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    double maxVal = randomDouble(20.0, 127.0);
    double thresh = randomDouble(0.0, maxVal);
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    cv::gpu::GpuMat dst = createMat(src.size(), src.type(), useRoi);
    cv::gpu::threshold(loadMat(src, useRoi), dst, thresh, maxVal, threshOp);
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    cv::Mat dst_gold;
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    cv::threshold(src, dst_gold, thresh, maxVal, threshOp);
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    EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
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}

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#ifdef OPENCV_TINY_GPU_MODULE
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Threshold, testing::Combine(
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    ALL_DEVICES,
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    DIFFERENT_SIZES,
    testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)),
    ThreshOp::all(),
    WHOLE_SUBMAT));
#else
INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Threshold, testing::Combine(
    ALL_DEVICES,
    DIFFERENT_SIZES,
    testing::Values(MatType(CV_8UC1), MatType(CV_16SC1), MatType(CV_32FC1)),
    ThreshOp::all(),
    WHOLE_SUBMAT));
#endif
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#endif // HAVE_CUDA