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/*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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include <cmath>
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#include <vector>
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#include <iostream>
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using namespace cv;
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namespace
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{
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void __wrap_printf_func(const char* fmt, ...)
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{
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va_list args;
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va_start(args, fmt);
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char buffer[256];
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vsprintf (buffer, fmt, args);
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cvtest::TS::ptr()->printf(cvtest::TS::SUMMARY, buffer);
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va_end(args);
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}
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#define PRINT_TO_LOG __wrap_printf_func
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}
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#define SHOW_IMAGE
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#undef SHOW_IMAGE
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////////////////////////////////////////////////////////////////////////////////////////////////////////
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// ImageWarpBaseTest
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////////////////////////////////////////////////////////////////////////////////////////////////////////
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class CV_ImageWarpBaseTest :
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public cvtest::BaseTest
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{
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public:
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enum { cell_size = 10 };
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CV_ImageWarpBaseTest();
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virtual ~CV_ImageWarpBaseTest();
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virtual void run(int);
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protected:
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virtual void generate_test_data();
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virtual void run_func() = 0;
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virtual void run_reference_func() = 0;
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virtual void validate_results() const;
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virtual void prepare_test_data_for_reference_func();
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Size randSize(RNG& rng) const;
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const char* interpolation_to_string(int inter_type) const;
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int interpolation;
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Mat src;
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Mat dst;
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Mat reference_dst;
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};
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CV_ImageWarpBaseTest::CV_ImageWarpBaseTest() :
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BaseTest(), interpolation(-1),
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src(), dst(), reference_dst()
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{
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test_case_count = 40;
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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CV_ImageWarpBaseTest::~CV_ImageWarpBaseTest()
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{
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}
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const char* CV_ImageWarpBaseTest::interpolation_to_string(int inter) const
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{
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if (inter == INTER_NEAREST)
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return "INTER_NEAREST";
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if (inter == INTER_LINEAR)
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return "INTER_LINEAR";
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if (inter == INTER_AREA)
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return "INTER_AREA";
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if (inter == INTER_CUBIC)
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return "INTER_CUBIC";
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if (inter == INTER_LANCZOS4)
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return "INTER_LANCZOS4";
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if (inter == INTER_LANCZOS4 + 1)
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return "INTER_AREA_FAST";
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return "Unsupported/Unkown interpolation type";
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}
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Size CV_ImageWarpBaseTest::randSize(RNG& rng) const
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{
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Size size;
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size.width = static_cast<int>(std::exp(rng.uniform(1.0f, 7.0f)));
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size.height = static_cast<int>(std::exp(rng.uniform(1.0f, 7.0f)));
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return size;
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}
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void CV_ImageWarpBaseTest::generate_test_data()
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{
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RNG& rng = ts->get_rng();
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// generating the src matrix structure
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Size ssize = randSize(rng), dsize;
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int depth = rng.uniform(0, CV_64F);
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while (depth == CV_8S || depth == CV_32S)
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depth = rng.uniform(0, CV_64F);
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int cn = rng.uniform(1, 4);
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while (cn == 2)
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cn = rng.uniform(1, 4);
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src.create(ssize, CV_MAKE_TYPE(depth, cn));
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// generating the src matrix
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int x, y;
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if (cvtest::randInt(rng) % 2)
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{
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for (y = 0; y < ssize.height; y += cell_size)
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for (x = 0; x < ssize.width; x += cell_size)
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rectangle(src, Point(x, y), Point(x + std::min<int>(cell_size, ssize.width - x), y +
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std::min<int>(cell_size, ssize.height - y)), Scalar::all((x + y) % 2 ? 255: 0), CV_FILLED);
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}
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else
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{
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src = Scalar::all(255);
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for (y = cell_size; y < src.rows; y += cell_size)
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line(src, Point2i(0, y), Point2i(src.cols, y), Scalar::all(0), 1);
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for (x = cell_size; x < src.cols; x += cell_size)
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line(src, Point2i(x, 0), Point2i(x, src.rows), Scalar::all(0), 1);
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}
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// generating an interpolation type
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interpolation = rng.uniform(0, CV_INTER_LANCZOS4 + 1);
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// generating the dst matrix structure
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double scale_x, scale_y;
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if (interpolation == INTER_AREA)
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{
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bool area_fast = rng.uniform(0., 1.) > 0.5;
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if (area_fast)
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{
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scale_x = rng.uniform(2, 5);
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scale_y = rng.uniform(2, 5);
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}
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else
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{
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scale_x = rng.uniform(1.0, 3.0);
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scale_y = rng.uniform(1.0, 3.0);
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}
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}
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else
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{
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scale_x = rng.uniform(0.4, 4.0);
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scale_y = rng.uniform(0.4, 4.0);
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}
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CV_Assert(scale_x > 0.0f && scale_y > 0.0f);
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dsize.width = saturate_cast<int>((ssize.width + scale_x - 1) / scale_x);
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dsize.height = saturate_cast<int>((ssize.height + scale_y - 1) / scale_y);
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dst = Mat::zeros(dsize, src.type());
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reference_dst = Mat::zeros(dst.size(), CV_MAKE_TYPE(CV_32F, dst.channels()));
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scale_x = src.cols / static_cast<double>(dst.cols);
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scale_y = src.rows / static_cast<double>(dst.rows);
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if (interpolation == INTER_AREA && (scale_x < 1.0 || scale_y < 1.0))
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interpolation = INTER_LINEAR;
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}
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void CV_ImageWarpBaseTest::run(int)
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{
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for (int i = 0; i < test_case_count; ++i)
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{
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generate_test_data();
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run_func();
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run_reference_func();
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if (ts->get_err_code() < 0)
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break;
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validate_results();
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if (ts->get_err_code() < 0)
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break;
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ts->update_context(this, i, true);
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}
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ts->set_gtest_status();
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}
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void CV_ImageWarpBaseTest::validate_results() const
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{
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Mat _dst;
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dst.convertTo(_dst, reference_dst.depth());
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Size dsize = dst.size(), ssize = src.size();
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int cn = _dst.channels();
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dsize.width *= cn;
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float t = 1.0f;
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if (interpolation == INTER_CUBIC)
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t = 1.0f;
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else if (interpolation == INTER_LANCZOS4)
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t = 1.0f;
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else if (interpolation == INTER_NEAREST)
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t = 1.0f;
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else if (interpolation == INTER_AREA)
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t = 2.0f;
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for (int dy = 0; dy < dsize.height; ++dy)
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{
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const float* rD = reference_dst.ptr<float>(dy);
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const float* D = _dst.ptr<float>(dy);
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for (int dx = 0; dx < dsize.width; ++dx)
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if (fabs(rD[dx] - D[dx]) > t &&
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// fabs(rD[dx] - D[dx]) < 250.0f &&
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rD[dx] <= 255.0f && D[dx] <= 255.0f && rD[dx] >= 0.0f && D[dx] >= 0.0f)
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{
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PRINT_TO_LOG("\nNorm of the difference: %lf\n", cvtest::norm(reference_dst, _dst, NORM_INF));
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PRINT_TO_LOG("Error in (dx, dy): (%d, %d)\n", dx / cn + 1, dy + 1);
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PRINT_TO_LOG("Tuple (rD, D): (%f, %f)\n", rD[dx], D[dx]);
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PRINT_TO_LOG("Dsize: (%d, %d)\n", dsize.width / cn, dsize.height);
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PRINT_TO_LOG("Ssize: (%d, %d)\n", src.cols, src.rows);
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double scale_x = static_cast<double>(ssize.width) / dsize.width;
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double scale_y = static_cast<double>(ssize.height) / dsize.height;
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bool area_fast = interpolation == INTER_AREA &&
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fabs(scale_x - cvRound(scale_x)) < FLT_EPSILON &&
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fabs(scale_y - cvRound(scale_y)) < FLT_EPSILON;
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if (area_fast)
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{
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scale_y = cvRound(scale_y);
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scale_x = cvRound(scale_x);
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}
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PRINT_TO_LOG("Interpolation: %s\n", interpolation_to_string(area_fast ? INTER_LANCZOS4 + 1 : interpolation));
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PRINT_TO_LOG("Scale (x, y): (%lf, %lf)\n", scale_x, scale_y);
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PRINT_TO_LOG("Elemsize: %d\n", src.elemSize1());
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PRINT_TO_LOG("Channels: %d\n", cn);
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#ifdef SHOW_IMAGE
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const std::string w1("OpenCV impl (run func)"), w2("Reference func"), w3("Src image"), w4("Diff");
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namedWindow(w1, CV_WINDOW_KEEPRATIO);
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namedWindow(w2, CV_WINDOW_KEEPRATIO);
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namedWindow(w3, CV_WINDOW_KEEPRATIO);
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namedWindow(w4, CV_WINDOW_KEEPRATIO);
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Mat diff;
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absdiff(reference_dst, _dst, diff);
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imshow(w1, dst);
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imshow(w2, reference_dst);
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imshow(w3, src);
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imshow(w4, diff);
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waitKey();
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#endif
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const int radius = 3;
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int rmin = MAX(dy - radius, 0), rmax = MIN(dy + radius, dsize.height);
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int cmin = MAX(dx / cn - radius, 0), cmax = MIN(dx / cn + radius, dsize.width);
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std::cout << "opencv result:\n" << dst(Range(rmin, rmax), Range(cmin, cmax)) << std::endl;
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std::cout << "reference result:\n" << reference_dst(Range(rmin, rmax), Range(cmin, cmax)) << std::endl;
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|
|
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|
|
ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
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|
|
return;
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|
|
}
|
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|
}
|
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|
|
}
|
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|
|
|
|
|
|
void CV_ImageWarpBaseTest::prepare_test_data_for_reference_func()
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|
|
{
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|
|
if (src.depth() != CV_32F)
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|
|
{
|
|
|
|
Mat tmp;
|
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|
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src.convertTo(tmp, CV_32F);
|
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|
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src = tmp;
|
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|
|
}
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|
}
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|
|
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|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Resize
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|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
class CV_Resize_Test :
|
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|
|
public CV_ImageWarpBaseTest
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|
|
{
|
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|
public:
|
|
|
|
CV_Resize_Test();
|
|
|
|
virtual ~CV_Resize_Test();
|
|
|
|
|
|
|
|
protected:
|
|
|
|
virtual void generate_test_data();
|
|
|
|
|
|
|
|
virtual void run_func();
|
|
|
|
virtual void run_reference_func();
|
|
|
|
|
|
|
|
private:
|
|
|
|
double scale_x;
|
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|
|
double scale_y;
|
|
|
|
bool area_fast;
|
|
|
|
|
|
|
|
void resize_generic();
|
|
|
|
void resize_area();
|
|
|
|
double getWeight(double a, double b, int x);
|
|
|
|
|
|
|
|
typedef std::vector<std::pair<int, double> > dim;
|
|
|
|
void generate_buffer(double scale, dim& _dim);
|
|
|
|
void resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _dim);
|
|
|
|
};
|
|
|
|
|
|
|
|
CV_Resize_Test::CV_Resize_Test() :
|
|
|
|
CV_ImageWarpBaseTest(), scale_x(),
|
|
|
|
scale_y(), area_fast(false)
|
|
|
|
{
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_Resize_Test::~CV_Resize_Test()
|
|
|
|
{
|
|
|
|
}
|
|
|
|
|
|
|
|
namespace
|
|
|
|
{
|
|
|
|
void interpolateLinear(float x, float* coeffs)
|
|
|
|
{
|
|
|
|
coeffs[0] = 1.f - x;
|
|
|
|
coeffs[1] = x;
|
|
|
|
}
|
|
|
|
|
|
|
|
void interpolateCubic(float x, float* coeffs)
|
|
|
|
{
|
|
|
|
const float A = -0.75f;
|
|
|
|
|
|
|
|
coeffs[0] = ((A*(x + 1) - 5*A)*(x + 1) + 8*A)*(x + 1) - 4*A;
|
|
|
|
coeffs[1] = ((A + 2)*x - (A + 3))*x*x + 1;
|
|
|
|
coeffs[2] = ((A + 2)*(1 - x) - (A + 3))*(1 - x)*(1 - x) + 1;
|
|
|
|
coeffs[3] = 1.f - coeffs[0] - coeffs[1] - coeffs[2];
|
|
|
|
}
|
|
|
|
|
|
|
|
void interpolateLanczos4(float x, float* coeffs)
|
|
|
|
{
|
|
|
|
static const double s45 = 0.70710678118654752440084436210485;
|
|
|
|
static const double cs[][2]=
|
|
|
|
{{1, 0}, {-s45, -s45}, {0, 1}, {s45, -s45}, {-1, 0}, {s45, s45}, {0, -1}, {-s45, s45}};
|
|
|
|
|
|
|
|
if( x < FLT_EPSILON )
|
|
|
|
{
|
|
|
|
for( int i = 0; i < 8; i++ )
|
|
|
|
coeffs[i] = 0;
|
|
|
|
coeffs[3] = 1;
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
float sum = 0;
|
|
|
|
double y0=-(x+3)*CV_PI*0.25, s0 = sin(y0), c0=cos(y0);
|
|
|
|
for(int i = 0; i < 8; i++ )
|
|
|
|
{
|
|
|
|
double y = -(x+3-i)*CV_PI*0.25;
|
|
|
|
coeffs[i] = (float)((cs[i][0]*s0 + cs[i][1]*c0)/(y*y));
|
|
|
|
sum += coeffs[i];
|
|
|
|
}
|
|
|
|
|
|
|
|
sum = 1.f/sum;
|
|
|
|
for(int i = 0; i < 8; i++ )
|
|
|
|
coeffs[i] *= sum;
|
|
|
|
}
|
|
|
|
|
|
|
|
typedef void (*interpolate_method)(float x, float* coeffs);
|
|
|
|
interpolate_method inter_array[] = { &interpolateLinear, &interpolateCubic, &interpolateLanczos4 };
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Resize_Test::generate_test_data()
|
|
|
|
{
|
|
|
|
CV_ImageWarpBaseTest::generate_test_data();
|
|
|
|
|
|
|
|
scale_x = src.cols / static_cast<double>(dst.cols);
|
|
|
|
scale_y = src.rows / static_cast<double>(dst.rows);
|
|
|
|
|
|
|
|
area_fast = interpolation == INTER_AREA &&
|
|
|
|
fabs(scale_x - cvRound(scale_x)) < FLT_EPSILON &&
|
|
|
|
fabs(scale_y - cvRound(scale_y)) < FLT_EPSILON;
|
|
|
|
if (area_fast)
|
|
|
|
{
|
|
|
|
scale_x = cvRound(scale_x);
|
|
|
|
scale_y = cvRound(scale_y);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Resize_Test::run_func()
|
|
|
|
{
|
|
|
|
cv::resize(src, dst, dst.size(), 0, 0, interpolation);
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Resize_Test::run_reference_func()
|
|
|
|
{
|
|
|
|
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
|
|
|
|
|
|
|
|
if (interpolation == INTER_AREA)
|
|
|
|
resize_area();
|
|
|
|
else
|
|
|
|
resize_generic();
|
|
|
|
}
|
|
|
|
|
|
|
|
double CV_Resize_Test::getWeight(double a, double b, int x)
|
|
|
|
{
|
|
|
|
double w = std::min(static_cast<double>(x + 1), b) - std::max(static_cast<double>(x), a);
|
|
|
|
CV_Assert(w >= 0);
|
|
|
|
return w;
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Resize_Test::resize_area()
|
|
|
|
{
|
|
|
|
Size ssize = src.size(), dsize = reference_dst.size();
|
|
|
|
CV_Assert(ssize.area() > 0 && dsize.area() > 0);
|
|
|
|
int cn = src.channels();
|
|
|
|
|
|
|
|
CV_Assert(scale_x >= 1.0 && scale_y >= 1.0);
|
|
|
|
|
|
|
|
double fsy0 = 0, fsy1 = scale_y;
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy)
|
|
|
|
{
|
|
|
|
float* yD = reference_dst.ptr<float>(dy);
|
|
|
|
int isy0 = cvFloor(fsy0), isy1 = std::min(cvFloor(fsy1), ssize.height - 1);
|
|
|
|
CV_Assert(isy1 <= ssize.height && isy0 < ssize.height);
|
|
|
|
|
|
|
|
double fsx0 = 0, fsx1 = scale_x;
|
|
|
|
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx)
|
|
|
|
{
|
|
|
|
float* xyD = yD + cn * dx;
|
|
|
|
int isx0 = cvFloor(fsx0), isx1 = std::min(ssize.width - 1, cvFloor(fsx1));
|
|
|
|
|
|
|
|
CV_Assert(isx1 <= ssize.width);
|
|
|
|
CV_Assert(isx0 < ssize.width);
|
|
|
|
|
|
|
|
// for each pixel of dst
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
{
|
|
|
|
xyD[r] = 0.0f;
|
|
|
|
double area = 0.0;
|
|
|
|
for (int sy = isy0; sy <= isy1; ++sy)
|
|
|
|
{
|
|
|
|
const float* yS = src.ptr<float>(sy);
|
|
|
|
for (int sx = isx0; sx <= isx1; ++sx)
|
|
|
|
{
|
|
|
|
double wy = getWeight(fsy0, fsy1, sy);
|
|
|
|
double wx = getWeight(fsx0, fsx1, sx);
|
|
|
|
double w = wx * wy;
|
|
|
|
xyD[r] += static_cast<float>(yS[sx * cn + r] * w);
|
|
|
|
area += w;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_Assert(area != 0);
|
|
|
|
// norming pixel
|
|
|
|
xyD[r] = static_cast<float>(xyD[r] / area);
|
|
|
|
}
|
|
|
|
fsx1 = std::min((fsx0 = fsx1) + scale_x, static_cast<double>(ssize.width));
|
|
|
|
}
|
|
|
|
fsy1 = std::min((fsy0 = fsy1) + scale_y, static_cast<double>(ssize.height));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
// for interpolation type : INTER_LINEAR, INTER_LINEAR, INTER_CUBIC, INTER_LANCZOS4
|
|
|
|
void CV_Resize_Test::resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _dim)
|
|
|
|
{
|
|
|
|
Size dsize = _dst.size();
|
|
|
|
int cn = _dst.channels();
|
|
|
|
float* yD = _dst.ptr<float>(dy);
|
|
|
|
|
|
|
|
if (interpolation == INTER_NEAREST)
|
|
|
|
{
|
|
|
|
const float* yS = _src.ptr<float>(dy);
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx)
|
|
|
|
{
|
|
|
|
int isx = _dim[dx].first;
|
|
|
|
const float* xyS = yS + isx * cn;
|
|
|
|
float* xyD = yD + dx * cn;
|
|
|
|
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
xyD[r] = xyS[r];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if (interpolation == INTER_LINEAR || interpolation == INTER_CUBIC || interpolation == INTER_LANCZOS4)
|
|
|
|
{
|
|
|
|
interpolate_method inter_func = inter_array[interpolation - (interpolation == INTER_LANCZOS4 ? 2 : 1)];
|
|
|
|
size_t elemsize = _src.elemSize();
|
|
|
|
|
|
|
|
int ofs = 0, ksize = 2;
|
|
|
|
if (interpolation == INTER_CUBIC)
|
|
|
|
ofs = 1, ksize = 4;
|
|
|
|
else if (interpolation == INTER_LANCZOS4)
|
|
|
|
ofs = 3, ksize = 8;
|
|
|
|
|
|
|
|
Mat _extended_src_row(1, _src.cols + ksize * 2, _src.type());
|
|
|
|
uchar* srow = _src.data + dy * _src.step;
|
|
|
|
memcpy(_extended_src_row.data + elemsize * ksize, srow, _src.step);
|
|
|
|
for (int k = 0; k < ksize; ++k)
|
|
|
|
{
|
|
|
|
memcpy(_extended_src_row.data + k * elemsize, srow, elemsize);
|
|
|
|
memcpy(_extended_src_row.data + (ksize + k) * elemsize + _src.step, srow + _src.step - elemsize, elemsize);
|
|
|
|
}
|
|
|
|
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx)
|
|
|
|
{
|
|
|
|
int isx = _dim[dx].first;
|
|
|
|
double fsx = _dim[dx].second;
|
|
|
|
|
|
|
|
float *xyD = yD + dx * cn;
|
|
|
|
const float* xyS = _extended_src_row.ptr<float>(0) + (isx + ksize - ofs) * cn;
|
|
|
|
|
|
|
|
float w[8];
|
|
|
|
inter_func(static_cast<float>(fsx), w);
|
|
|
|
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
{
|
|
|
|
xyD[r] = 0;
|
|
|
|
for (int k = 0; k < ksize; ++k)
|
|
|
|
xyD[r] += w[k] * xyS[k * cn + r];
|
|
|
|
xyD[r] = xyD[r];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Assert(0);
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Resize_Test::generate_buffer(double scale, dim& _dim)
|
|
|
|
{
|
|
|
|
size_t length = _dim.size();
|
|
|
|
for (size_t dx = 0; dx < length; ++dx)
|
|
|
|
{
|
|
|
|
double fsx = scale * (dx + 0.5) - 0.5;
|
|
|
|
int isx = cvFloor(fsx);
|
|
|
|
_dim[dx] = std::make_pair(isx, fsx - isx);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Resize_Test::resize_generic()
|
|
|
|
{
|
|
|
|
Size dsize = reference_dst.size(), ssize = src.size();
|
|
|
|
CV_Assert(dsize.area() > 0 && ssize.area() > 0);
|
|
|
|
|
|
|
|
dim dims[] = { dim(dsize.width), dim(dsize.height) };
|
|
|
|
if (interpolation == INTER_NEAREST)
|
|
|
|
{
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx)
|
|
|
|
dims[0][dx].first = std::min(cvFloor(dx * scale_x), ssize.width - 1);
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy)
|
|
|
|
dims[1][dy].first = std::min(cvFloor(dy * scale_y), ssize.height - 1);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
generate_buffer(scale_x, dims[0]);
|
|
|
|
generate_buffer(scale_y, dims[1]);
|
|
|
|
}
|
|
|
|
|
|
|
|
Mat tmp(ssize.height, dsize.width, reference_dst.type());
|
|
|
|
for (int dy = 0; dy < tmp.rows; ++dy)
|
|
|
|
resize_1d(src, tmp, dy, dims[0]);
|
|
|
|
|
|
|
|
transpose(tmp, tmp);
|
|
|
|
transpose(reference_dst, reference_dst);
|
|
|
|
|
|
|
|
for (int dy = 0; dy < tmp.rows; ++dy)
|
|
|
|
resize_1d(tmp, reference_dst, dy, dims[1]);
|
|
|
|
transpose(reference_dst, reference_dst);
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// remap
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
class CV_Remap_Test :
|
|
|
|
public CV_ImageWarpBaseTest
|
|
|
|
{
|
|
|
|
public:
|
|
|
|
CV_Remap_Test();
|
|
|
|
|
|
|
|
virtual ~CV_Remap_Test();
|
|
|
|
|
|
|
|
private:
|
|
|
|
typedef void (CV_Remap_Test::*remap_func)(const Mat&, Mat&);
|
|
|
|
|
|
|
|
protected:
|
|
|
|
virtual void generate_test_data();
|
|
|
|
virtual void prepare_test_data_for_reference_func();
|
|
|
|
|
|
|
|
virtual void run_func();
|
|
|
|
virtual void run_reference_func();
|
|
|
|
|
|
|
|
Mat mapx, mapy;
|
|
|
|
int borderType;
|
|
|
|
Scalar borderValue;
|
|
|
|
|
|
|
|
remap_func funcs[2];
|
|
|
|
|
|
|
|
private:
|
|
|
|
void remap_nearest(const Mat&, Mat&);
|
|
|
|
void remap_generic(const Mat&, Mat&);
|
|
|
|
|
|
|
|
void convert_maps();
|
|
|
|
const char* borderType_to_string() const;
|
|
|
|
virtual void validate_results() const;
|
|
|
|
};
|
|
|
|
|
|
|
|
CV_Remap_Test::CV_Remap_Test() :
|
|
|
|
CV_ImageWarpBaseTest(), mapx(), mapy(),
|
|
|
|
borderType(-1), borderValue()
|
|
|
|
{
|
|
|
|
funcs[0] = &CV_Remap_Test::remap_nearest;
|
|
|
|
funcs[1] = &CV_Remap_Test::remap_generic;
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_Remap_Test::~CV_Remap_Test()
|
|
|
|
{
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::generate_test_data()
|
|
|
|
{
|
|
|
|
CV_ImageWarpBaseTest::generate_test_data();
|
|
|
|
|
|
|
|
RNG& rng = ts->get_rng();
|
|
|
|
borderType = rng.uniform(1, BORDER_WRAP);
|
|
|
|
borderValue = Scalar::all(rng.uniform(0, 255));
|
|
|
|
|
|
|
|
// generating the mapx, mapy matrices
|
|
|
|
static const int mapx_types[] = { CV_16SC2, CV_32FC1, CV_32FC2 };
|
|
|
|
mapx.create(dst.size(), mapx_types[rng.uniform(0, sizeof(mapx_types) / sizeof(int))]);
|
|
|
|
mapy = Mat();
|
|
|
|
|
|
|
|
const int n = std::min(std::min(src.cols, src.rows) / 10 + 1, 2);
|
|
|
|
float _n = 0; //static_cast<float>(-n);
|
|
|
|
|
|
|
|
switch (mapx.type())
|
|
|
|
{
|
|
|
|
case CV_16SC2:
|
|
|
|
{
|
|
|
|
MatIterator_<Vec2s> begin_x = mapx.begin<Vec2s>(), end_x = mapx.end<Vec2s>();
|
|
|
|
for ( ; begin_x != end_x; ++begin_x)
|
|
|
|
{
|
|
|
|
(*begin_x)[0] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.cols + n - 1, 0)));
|
|
|
|
(*begin_x)[1] = static_cast<short>(rng.uniform(static_cast<int>(_n), std::max(src.rows + n - 1, 0)));
|
|
|
|
}
|
|
|
|
|
|
|
|
if (interpolation != INTER_NEAREST)
|
|
|
|
{
|
|
|
|
static const int mapy_types[] = { CV_16UC1, CV_16SC1 };
|
|
|
|
mapy.create(dst.size(), mapy_types[rng.uniform(0, sizeof(mapy_types) / sizeof(int))]);
|
|
|
|
|
|
|
|
switch (mapy.type())
|
|
|
|
{
|
|
|
|
case CV_16UC1:
|
|
|
|
{
|
|
|
|
MatIterator_<ushort> begin_y = mapy.begin<ushort>(), end_y = mapy.end<ushort>();
|
|
|
|
for ( ; begin_y != end_y; ++begin_y)
|
|
|
|
begin_y[0] = static_cast<short>(rng.uniform(0, 1024));
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
|
|
|
|
case CV_16SC1:
|
|
|
|
{
|
|
|
|
MatIterator_<short> begin_y = mapy.begin<short>(), end_y = mapy.end<short>();
|
|
|
|
for ( ; begin_y != end_y; ++begin_y)
|
|
|
|
begin_y[0] = static_cast<short>(rng.uniform(0, 1024));
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
|
|
|
|
case CV_32FC1:
|
|
|
|
{
|
|
|
|
mapy.create(dst.size(), CV_32FC1);
|
|
|
|
float fscols = static_cast<float>(std::max(src.cols - 1 + n, 0)),
|
|
|
|
fsrows = static_cast<float>(std::max(src.rows - 1 + n, 0));
|
|
|
|
MatIterator_<float> begin_x = mapx.begin<float>(), end_x = mapx.end<float>();
|
|
|
|
MatIterator_<float> begin_y = mapy.begin<float>();
|
|
|
|
for ( ; begin_x != end_x; ++begin_x, ++begin_y)
|
|
|
|
{
|
|
|
|
begin_x[0] = rng.uniform(_n, fscols);
|
|
|
|
begin_y[0] = rng.uniform(_n, fsrows);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
|
|
|
|
case CV_32FC2:
|
|
|
|
{
|
|
|
|
MatIterator_<Vec2f> begin_x = mapx.begin<Vec2f>(), end_x = mapx.end<Vec2f>();
|
|
|
|
float fscols = static_cast<float>(std::max(src.cols - 1 + n, 0)),
|
|
|
|
fsrows = static_cast<float>(std::max(src.rows - 1 + n, 0));
|
|
|
|
for ( ; begin_x != end_x; ++begin_x)
|
|
|
|
{
|
|
|
|
begin_x[0] = rng.uniform(_n, fscols);
|
|
|
|
begin_x[1] = rng.uniform(_n, fsrows);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
|
|
|
|
default:
|
|
|
|
assert(0);
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::run_func()
|
|
|
|
{
|
|
|
|
remap(src, dst, mapx, mapy, interpolation, borderType, borderValue);
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::convert_maps()
|
|
|
|
{
|
|
|
|
if (mapx.type() != CV_16SC2)
|
|
|
|
convertMaps(mapx.clone(), mapy.clone(), mapx, mapy, CV_16SC2, interpolation == INTER_NEAREST);
|
|
|
|
else if (interpolation != INTER_NEAREST)
|
|
|
|
if (mapy.type() != CV_16UC1)
|
|
|
|
mapy.clone().convertTo(mapy, CV_16UC1);
|
|
|
|
|
|
|
|
if (interpolation == INTER_NEAREST)
|
|
|
|
mapy = Mat();
|
|
|
|
CV_Assert(((interpolation == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16UC1 ||
|
|
|
|
mapy.type() == CV_16SC1) && mapx.type() == CV_16SC2);
|
|
|
|
}
|
|
|
|
|
|
|
|
const char* CV_Remap_Test::borderType_to_string() const
|
|
|
|
{
|
|
|
|
if (borderType == BORDER_CONSTANT)
|
|
|
|
return "BORDER_CONSTANT";
|
|
|
|
if (borderType == BORDER_REPLICATE)
|
|
|
|
return "BORDER_REPLICATE";
|
|
|
|
if (borderType == BORDER_REFLECT)
|
|
|
|
return "BORDER_REFLECT";
|
|
|
|
return "Unsupported/Unkown border type";
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::prepare_test_data_for_reference_func()
|
|
|
|
{
|
|
|
|
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
|
|
|
|
convert_maps();
|
|
|
|
/*
|
|
|
|
const int ksize = 3;
|
|
|
|
Mat kernel = getStructuringElement(CV_MOP_ERODE, Size(ksize, ksize));
|
|
|
|
Mat mask(src.size(), CV_8UC1, Scalar::all(255)), dst_mask;
|
|
|
|
cv::erode(src, erode_src, kernel);
|
|
|
|
cv::erode(mask, dst_mask, kernel, Point(-1, -1), 1, BORDER_CONSTANT, Scalar::all(0));
|
|
|
|
bitwise_not(dst_mask, mask);
|
|
|
|
src.copyTo(erode_src, mask);
|
|
|
|
dst_mask.release();
|
|
|
|
|
|
|
|
mask = Scalar::all(0);
|
|
|
|
kernel = getStructuringElement(CV_MOP_DILATE, kernel.size());
|
|
|
|
cv::dilate(src, dilate_src, kernel);
|
|
|
|
cv::dilate(mask, dst_mask, kernel, Point(-1, -1), 1, BORDER_CONSTANT, Scalar::all(255));
|
|
|
|
src.copyTo(dilate_src, dst_mask);
|
|
|
|
dst_mask.release();
|
|
|
|
*/
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::run_reference_func()
|
|
|
|
{
|
|
|
|
prepare_test_data_for_reference_func();
|
|
|
|
|
|
|
|
if (interpolation == INTER_AREA)
|
|
|
|
interpolation = INTER_LINEAR;
|
|
|
|
|
|
|
|
int index = interpolation == INTER_NEAREST ? 0 : 1;
|
|
|
|
(this->*funcs[index])(src, reference_dst);
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::remap_nearest(const Mat& _src, Mat& _dst)
|
|
|
|
{
|
|
|
|
CV_Assert(_src.depth() == CV_32F && _dst.type() == _src.type());
|
|
|
|
CV_Assert(mapx.type() == CV_16SC2 && !mapy.data);
|
|
|
|
|
|
|
|
Size ssize = _src.size(), dsize = _dst.size();
|
|
|
|
CV_Assert(ssize.area() > 0 && dsize.area() > 0);
|
|
|
|
int cn = _src.channels();
|
|
|
|
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy)
|
|
|
|
{
|
|
|
|
const short* yM = mapx.ptr<short>(dy);
|
|
|
|
float* yD = _dst.ptr<float>(dy);
|
|
|
|
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx)
|
|
|
|
{
|
|
|
|
float* xyD = yD + cn * dx;
|
|
|
|
int sx = yM[dx * 2], sy = yM[dx * 2 + 1];
|
|
|
|
|
|
|
|
if (sx >= 0 && sx < ssize.width && sy >= 0 && sy < ssize.height)
|
|
|
|
{
|
|
|
|
const float *xyS = _src.ptr<float>(sy) + sx * cn;
|
|
|
|
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
xyD[r] = xyS[r];
|
|
|
|
}
|
|
|
|
else if (borderType != BORDER_TRANSPARENT)
|
|
|
|
{
|
|
|
|
if (borderType == BORDER_CONSTANT)
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
xyD[r] = saturate_cast<float>(borderValue[r]);
|
|
|
|
else
|
|
|
|
{
|
|
|
|
sx = borderInterpolate(sx, ssize.width, borderType);
|
|
|
|
sy = borderInterpolate(sy, ssize.height, borderType);
|
|
|
|
CV_Assert(sx >= 0 && sy >= 0 && sx < ssize.width && sy < ssize.height);
|
|
|
|
|
|
|
|
const float *xyS = _src.ptr<float>(sy) + sx * cn;
|
|
|
|
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
xyD[r] = xyS[r];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::remap_generic(const Mat& _src, Mat& _dst)
|
|
|
|
{
|
|
|
|
CV_Assert(mapx.type() == CV_16SC2 && mapy.type() == CV_16UC1);
|
|
|
|
|
|
|
|
int ksize = 2;
|
|
|
|
if (interpolation == INTER_CUBIC)
|
|
|
|
ksize = 4;
|
|
|
|
else if (interpolation == INTER_LANCZOS4)
|
|
|
|
ksize = 8;
|
|
|
|
else if (interpolation != INTER_LINEAR)
|
|
|
|
assert(0);
|
|
|
|
int ofs = (ksize / 2) - 1;
|
|
|
|
|
|
|
|
CV_Assert(_src.depth() == CV_32F && _dst.type() == _src.type());
|
|
|
|
Size ssize = _src.size(), dsize = _dst.size();
|
|
|
|
int cn = _src.channels(), width1 = std::max(ssize.width - ksize + 1, 0),
|
|
|
|
height1 = std::max(ssize.height - ksize + 1, 0);
|
|
|
|
|
|
|
|
float ix[8], w[16];
|
|
|
|
interpolate_method inter_func = inter_array[interpolation - (interpolation == INTER_LANCZOS4 ? 2 : 1)];
|
|
|
|
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy)
|
|
|
|
{
|
|
|
|
const short* yMx = mapx.ptr<short>(dy);
|
|
|
|
const ushort* yMy = mapy.ptr<ushort>(dy);
|
|
|
|
|
|
|
|
float* yD = _dst.ptr<float>(dy);
|
|
|
|
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx)
|
|
|
|
{
|
|
|
|
float* xyD = yD + dx * cn;
|
|
|
|
float sx = yMx[dx * 2], sy = yMx[dx * 2 + 1];
|
|
|
|
int isx = cvFloor(sx), isy = cvFloor(sy);
|
|
|
|
|
|
|
|
inter_func((yMy[dx] & (INTER_TAB_SIZE - 1)) / static_cast<float>(INTER_TAB_SIZE), w);
|
|
|
|
inter_func(((yMy[dx] >> INTER_BITS) & (INTER_TAB_SIZE - 1)) / static_cast<float>(INTER_TAB_SIZE), w + ksize);
|
|
|
|
|
|
|
|
isx -= ofs;
|
|
|
|
isy -= ofs;
|
|
|
|
|
|
|
|
if (isx >= 0 && isx < width1 && isy >= 0 && isy < height1)
|
|
|
|
{
|
|
|
|
for (int r = 0; r < cn; ++r)
|
|
|
|
{
|
|
|
|
for (int y = 0; y < ksize; ++y)
|
|
|
|
{
|
|
|
|
const float* xyS = _src.ptr<float>(isy + y) + isx * cn;
|
|
|
|
|
|
|
|
ix[y] = 0;
|
|
|
|
for (int i = 0; i < ksize; ++i)
|
|
|
|
ix[y] += w[i] * xyS[i * cn + r];
|
|
|
|
}
|
|
|
|
xyD[r] = 0;
|
|
|
|
for (int i = 0; i < ksize; ++i)
|
|
|
|
xyD[r] += w[ksize + i] * ix[i];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if (borderType != BORDER_TRANSPARENT)
|
|
|
|
{
|
|
|
|
int ar_x[8], ar_y[8];
|
|
|
|
|
|
|
|
for (int k = 0; k < ksize; k++)
|
|
|
|
{
|
|
|
|
ar_x[k] = borderInterpolate(isx + k, ssize.width, borderType) * cn;
|
|
|
|
ar_y[k] = borderInterpolate(isy + k, ssize.height, borderType);
|
|
|
|
}
|
|
|
|
|
|
|
|
for (int r = 0; r < cn; r++)
|
|
|
|
{
|
|
|
|
xyD[r] = 0;
|
|
|
|
for (int i = 0; i < ksize; ++i)
|
|
|
|
{
|
|
|
|
ix[i] = 0;
|
|
|
|
if (ar_y[i] >= 0)
|
|
|
|
{
|
|
|
|
const float* yS = _src.ptr<float>(ar_y[i]);
|
|
|
|
for (int j = 0; j < ksize; ++j)
|
|
|
|
ix[i] += saturate_cast<float>((ar_x[j] >= 0 ? yS[ar_x[j] + r] : borderValue[r]) * w[j]);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
for (int j = 0; j < ksize; ++j)
|
|
|
|
ix[i] += saturate_cast<float>(borderValue[r] * w[j]);
|
|
|
|
}
|
|
|
|
for (int i = 0; i < ksize; ++i)
|
|
|
|
xyD[r] += saturate_cast<float>(w[ksize + i] * ix[i]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_Remap_Test::validate_results() const
|
|
|
|
{
|
|
|
|
CV_ImageWarpBaseTest::validate_results();
|
|
|
|
if (cvtest::TS::ptr()->get_err_code() == cvtest::TS::FAIL_BAD_ACCURACY)
|
|
|
|
{
|
|
|
|
PRINT_TO_LOG("BorderType: %s\n", borderType_to_string());
|
|
|
|
PRINT_TO_LOG("BorderValue: (%f, %f, %f, %f)\n",
|
|
|
|
borderValue[0], borderValue[1], borderValue[2], borderValue[3]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// warpAffine
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
class CV_WarpAffine_Test :
|
|
|
|
public CV_Remap_Test
|
|
|
|
{
|
|
|
|
public:
|
|
|
|
CV_WarpAffine_Test();
|
|
|
|
|
|
|
|
virtual ~CV_WarpAffine_Test();
|
|
|
|
|
|
|
|
protected:
|
|
|
|
virtual void generate_test_data();
|
|
|
|
virtual void prepare_test_data_for_reference_func();
|
|
|
|
|
|
|
|
virtual void run_func();
|
|
|
|
virtual void run_reference_func();
|
|
|
|
|
|
|
|
Mat M;
|
|
|
|
private:
|
|
|
|
void warpAffine(const Mat&, Mat&);
|
|
|
|
};
|
|
|
|
|
|
|
|
CV_WarpAffine_Test::CV_WarpAffine_Test() :
|
|
|
|
CV_Remap_Test()
|
|
|
|
{
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_WarpAffine_Test::~CV_WarpAffine_Test()
|
|
|
|
{
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_WarpAffine_Test::generate_test_data()
|
|
|
|
{
|
|
|
|
CV_Remap_Test::generate_test_data();
|
|
|
|
|
|
|
|
RNG& rng = ts->get_rng();
|
|
|
|
|
|
|
|
// generating the M 2x3 matrix
|
|
|
|
static const int depths[] = { CV_32FC1, CV_64FC1 };
|
|
|
|
|
|
|
|
// generating 2d matrix
|
|
|
|
M = getRotationMatrix2D(Point2f(src.cols / 2.f, src.rows / 2.f),
|
|
|
|
rng.uniform(-180.f, 180.f), rng.uniform(0.4f, 2.0f));
|
|
|
|
int depth = depths[rng.uniform(0, sizeof(depths) / sizeof(depths[0]))];
|
|
|
|
if (M.depth() != depth)
|
|
|
|
{
|
|
|
|
Mat tmp;
|
|
|
|
M.convertTo(tmp, depth);
|
|
|
|
M = tmp;
|
|
|
|
}
|
|
|
|
|
|
|
|
// warp_matrix is inverse
|
|
|
|
if (rng.uniform(0., 1.) > 0)
|
|
|
|
interpolation |= CV_WARP_INVERSE_MAP;
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_WarpAffine_Test::run_func()
|
|
|
|
{
|
|
|
|
cv::warpAffine(src, dst, M, dst.size(), interpolation, borderType, borderValue);
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_WarpAffine_Test::prepare_test_data_for_reference_func()
|
|
|
|
{
|
|
|
|
CV_ImageWarpBaseTest::prepare_test_data_for_reference_func();
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_WarpAffine_Test::run_reference_func()
|
|
|
|
{
|
|
|
|
prepare_test_data_for_reference_func();
|
|
|
|
|
|
|
|
warpAffine(src, reference_dst);
|
|
|
|
}
|
|
|
|
|
|
|
|
void CV_WarpAffine_Test::warpAffine(const Mat& _src, Mat& _dst)
|
|
|
|
{
|
|
|
|
Size dsize = _dst.size();
|
|
|
|
|
|
|
|
CV_Assert(_src.size().area() > 0);
|
|
|
|
CV_Assert(dsize.area() > 0);
|
|
|
|
CV_Assert(_src.type() == _dst.type());
|
|
|
|
|
|
|
|
Mat tM;
|
|
|
|
M.convertTo(tM, CV_64F);
|
|
|
|
|
|
|
|
int inter = interpolation & INTER_MAX;
|
|
|
|
if (inter == INTER_AREA)
|
|
|
|
inter = INTER_LINEAR;
|
|
|
|
|
|
|
|
mapx.create(dsize, CV_16SC2);
|
|
|
|
if (inter != INTER_NEAREST)
|
|
|
|
mapy.create(dsize, CV_16SC1);
|
|
|
|
else
|
|
|
|
mapy = Mat();
|
|
|
|
|
|
|
|
if (!(interpolation & CV_WARP_INVERSE_MAP))
|
|
|
|
invertAffineTransform(tM.clone(), tM);
|
|
|
|
|
|
|
|
const int AB_BITS = MAX(10, (int)INTER_BITS);
|
|
|
|
const int AB_SCALE = 1 << AB_BITS;
|
|
|
|
int round_delta = (inter == INTER_NEAREST) ? AB_SCALE / 2 : (AB_SCALE / INTER_TAB_SIZE / 2);
|
|
|
|
|
|
|
|
const double* data_tM = tM.ptr<double>(0);
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy)
|
|
|
|
{
|
|
|
|
short* yM = mapx.ptr<short>(dy);
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx, yM += 2)
|
|
|
|
{
|
|
|
|
int v1 = saturate_cast<int>(saturate_cast<int>(data_tM[0] * dx * AB_SCALE) +
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saturate_cast<int>((data_tM[1] * dy + data_tM[2]) * AB_SCALE) + round_delta),
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v2 = saturate_cast<int>(saturate_cast<int>(data_tM[3] * dx * AB_SCALE) +
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saturate_cast<int>((data_tM[4] * dy + data_tM[5]) * AB_SCALE) + round_delta);
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v1 >>= AB_BITS - INTER_BITS;
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v2 >>= AB_BITS - INTER_BITS;
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yM[0] = saturate_cast<short>(v1 >> INTER_BITS);
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yM[1] = saturate_cast<short>(v2 >> INTER_BITS);
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if (inter != INTER_NEAREST)
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mapy.ptr<short>(dy)[dx] = ((v2 & (INTER_TAB_SIZE - 1)) * INTER_TAB_SIZE + (v1 & (INTER_TAB_SIZE - 1)));
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}
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}
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CV_Assert(mapx.type() == CV_16SC2 && ((inter == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16SC1));
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cv::remap(_src, _dst, mapx, mapy, inter, borderType, borderValue);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////////
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// warpPerspective
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////////////////////////////////////////////////////////////////////////////////////////////////////////
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class CV_WarpPerspective_Test :
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public CV_WarpAffine_Test
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{
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public:
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CV_WarpPerspective_Test();
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virtual ~CV_WarpPerspective_Test();
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protected:
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virtual void generate_test_data();
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virtual void run_func();
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virtual void run_reference_func();
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private:
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void warpPerspective(const Mat&, Mat&);
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};
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CV_WarpPerspective_Test::CV_WarpPerspective_Test() :
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CV_WarpAffine_Test()
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{
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}
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CV_WarpPerspective_Test::~CV_WarpPerspective_Test()
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{
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}
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void CV_WarpPerspective_Test::generate_test_data()
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{
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CV_Remap_Test::generate_test_data();
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// generating the M 3x3 matrix
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RNG& rng = ts->get_rng();
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float cols = static_cast<float>(src.cols), rows = static_cast<float>(src.rows);
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Point2f sp[] = { Point2f(0.0f, 0.0f), Point2f(cols, 0.0f), Point2f(0.0f, rows), Point2f(cols, rows) };
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Point2f dp[] = { Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)),
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Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)),
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Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)),
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Point2f(rng.uniform(0.0f, cols), rng.uniform(0.0f, rows)) };
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M = getPerspectiveTransform(sp, dp);
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static const int depths[] = { CV_32F, CV_64F };
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int depth = depths[rng.uniform(0, 2)];
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M.clone().convertTo(M, depth);
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}
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void CV_WarpPerspective_Test::run_func()
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{
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cv::warpPerspective(src, dst, M, dst.size(), interpolation, borderType, borderValue);
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}
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void CV_WarpPerspective_Test::run_reference_func()
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{
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prepare_test_data_for_reference_func();
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warpPerspective(src, reference_dst);
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}
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void CV_WarpPerspective_Test::warpPerspective(const Mat& _src, Mat& _dst)
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|
{
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Size ssize = _src.size(), dsize = _dst.size();
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CV_Assert(ssize.area() > 0);
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CV_Assert(dsize.area() > 0);
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CV_Assert(_src.type() == _dst.type());
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if (M.depth() != CV_64F)
|
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|
{
|
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|
Mat tmp;
|
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|
M.convertTo(tmp, CV_64F);
|
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|
M = tmp;
|
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|
|
}
|
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|
if (!(interpolation & CV_WARP_INVERSE_MAP))
|
|
|
|
{
|
|
|
|
Mat tmp;
|
|
|
|
invert(M, tmp);
|
|
|
|
M = tmp;
|
|
|
|
}
|
|
|
|
|
|
|
|
int inter = interpolation & INTER_MAX;
|
|
|
|
if (inter == INTER_AREA)
|
|
|
|
inter = INTER_LINEAR;
|
|
|
|
|
|
|
|
mapx.create(dsize, CV_16SC2);
|
|
|
|
if (inter != INTER_NEAREST)
|
|
|
|
mapy.create(dsize, CV_16SC1);
|
|
|
|
else
|
|
|
|
mapy = Mat();
|
|
|
|
|
|
|
|
double* tM = M.ptr<double>(0);
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy)
|
|
|
|
{
|
|
|
|
short* yMx = mapx.ptr<short>(dy);
|
|
|
|
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx, yMx += 2)
|
|
|
|
{
|
|
|
|
double den = tM[6] * dx + tM[7] * dy + tM[8];
|
|
|
|
den = den ? 1.0 / den : 0.0;
|
|
|
|
|
|
|
|
if (inter == INTER_NEAREST)
|
|
|
|
{
|
|
|
|
yMx[0] = saturate_cast<short>((tM[0] * dx + tM[1] * dy + tM[2]) * den);
|
|
|
|
yMx[1] = saturate_cast<short>((tM[3] * dx + tM[4] * dy + tM[5]) * den);
|
|
|
|
continue;
|
|
|
|
}
|
|
|
|
|
|
|
|
den *= INTER_TAB_SIZE;
|
|
|
|
int v0 = saturate_cast<int>((tM[0] * dx + tM[1] * dy + tM[2]) * den);
|
|
|
|
int v1 = saturate_cast<int>((tM[3] * dx + tM[4] * dy + tM[5]) * den);
|
|
|
|
|
|
|
|
yMx[0] = saturate_cast<short>(v0 >> INTER_BITS);
|
|
|
|
yMx[1] = saturate_cast<short>(v1 >> INTER_BITS);
|
|
|
|
mapy.ptr<short>(dy)[dx] = saturate_cast<short>((v1 & (INTER_TAB_SIZE - 1)) *
|
|
|
|
INTER_TAB_SIZE + (v0 & (INTER_TAB_SIZE - 1)));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
CV_Assert(mapx.type() == CV_16SC2 && ((inter == INTER_NEAREST && !mapy.data) || mapy.type() == CV_16SC1));
|
|
|
|
cv::remap(_src, _dst, mapx, mapy, inter, borderType, borderValue);
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
// Tests
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
|
|
|
|
TEST(Imgproc_Resize_Test, accuracy) { CV_Resize_Test test; test.safe_run(); }
|
|
|
|
TEST(Imgproc_Remap_Test, accuracy) { CV_Remap_Test test; test.safe_run(); }
|
|
|
|
TEST(Imgproc_WarpAffine_Test, accuracy) { CV_WarpAffine_Test test; test.safe_run(); }
|
|
|
|
TEST(Imgproc_WarpPerspective_Test, accuracy) { CV_WarpPerspective_Test test; test.safe_run(); }
|