vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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/*
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* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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class RemapTest : public ::testing::TestWithParam<tuple<int, int, Size>> {
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protected:
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void SetUp() override {
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// Generate random source data
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Size size = get<2>(GetParam());
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src = Mat(size, get<0>(GetParam()));
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randu(src, Scalar::all(0), Scalar::all(255)); // Fill with random values
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ASSERT_FALSE(src.empty()) << "Unable to generate the image!";
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// Create map matrices
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map_x.create(src.size(), CV_32FC1);
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map_y.create(src.size(), CV_32FC1);
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// Initialize the map matrices
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for (int i = 0; i < src.rows; i++) {
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for (int j = 0; j < src.cols; j++) {
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map_x.at<float>(i, j) = static_cast<float>(src.cols - j); //Flips the image horizonally
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map_y.at<float>(i, j) = static_cast<float>(i); //Keep y coordinate unchanged
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}
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}
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}
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Mat src, map_x, map_y, dst;
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};
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class RemapTestRGBA : public ::testing::TestWithParam<tuple<int, int, Size>> {
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protected:
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void SetUp() override {
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// Generate random source data
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Size size = get<2>(GetParam());
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src = Mat(size, get<0>(GetParam()));
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randu(src, Scalar::all(0), Scalar::all(255)); // Fill with random values
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ASSERT_FALSE(src.empty()) << "Unable to generate the image!";
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// Create map matrices
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map_x.create(src.size(), CV_32FC1);
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map_y.create(src.size(), CV_32FC1);
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// Initialize the map matrices
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for (int i = 0; i < src.rows; i++) {
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for (int j = 0; j < src.cols; j++) {
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map_x.at<float>(i, j) = static_cast<float>(src.cols - j); //Flips the image horizonally
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map_y.at<float>(i, j) = static_cast<float>(i); //Keep y coordinate unchanged
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}
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}
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}
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Mat src, map_x, map_y, dst;
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};
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TEST_P(RemapTest, accuracy)
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{
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int type = get<0>(GetParam());
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int interpolation = get<1>(GetParam());
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// Convert source image to the specified type
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Mat src_converted;
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src.convertTo(src_converted, type);
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cv::fastcv::remap(src_converted, dst, map_x, map_y, interpolation);
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// Check if the remapped image is not empty
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ASSERT_FALSE(dst.empty()) << "Remapped image is empty!";
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cv::Mat remapOpenCV;
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cv::remap(src_converted, remapOpenCV, map_x, map_y, interpolation);
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// Calculate the maximum difference
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double maxVal = cv::norm(dst, remapOpenCV, cv::NORM_INF);
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// Assert if the difference is acceptable (max difference should be less than 10)
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CV_Assert(maxVal < 10 && "Difference between images is too high!");
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}
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TEST_P(RemapTestRGBA, accuracy)
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{
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int type = get<0>(GetParam());
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int interpolation = get<1>(GetParam());
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// Convert source image to the specified type
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Mat src_converted;
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src.convertTo(src_converted, type);
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cv::fastcv::remapRGBA(src_converted, dst, map_x, map_y, interpolation);
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// Check if the remapped image is not empty
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ASSERT_FALSE(dst.empty()) << "Remapped image is empty!";
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cv::Mat remapOpenCV;
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cv::remap(src_converted, remapOpenCV, map_x, map_y, interpolation);
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// Calculate the maximum difference
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double maxVal = cv::norm(dst, remapOpenCV, cv::NORM_INF);
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// Assert if the difference is acceptable (max difference should be less than 10)
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CV_Assert(maxVal < 10 && "Difference between images is too high!");
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}
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INSTANTIATE_TEST_CASE_P(
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RemapTests,
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RemapTest,
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::testing::Combine(
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::testing::Values(CV_8UC1),
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::testing::Values(INTER_LINEAR, INTER_NEAREST),
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::testing::Values(Size(640, 480), Size(1280, 720), Size(1920, 1080))
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)
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);
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INSTANTIATE_TEST_CASE_P(
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RemapTests,
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RemapTestRGBA,
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::testing::Combine(
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::testing::Values(CV_8UC4),
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::testing::Values(INTER_LINEAR, INTER_NEAREST),
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::testing::Values(Size(640, 480), Size(1280, 720), Size(1920, 1080))
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)
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);
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}} // namespaces opencv_test, ::
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