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Depends on https://github.com/opencv/opencv/pull/26316 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
113 lines
3.3 KiB
C++
113 lines
3.3 KiB
C++
/*
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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 "opencv2/ts.hpp"
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#include "opencv2/fastcv/scale.hpp"
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namespace opencv_test { namespace {
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class ResizeBy2Test : public ::testing::TestWithParam<cv::Size> {};
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class ResizeBy4Test : public ::testing::TestWithParam<cv::Size> {};
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TEST(resizeDownBy2, accuracy)
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{
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cv::Mat inputImage = cv::imread(cvtest::findDataFile("cv/shared/box_in_scene.png"), cv::IMREAD_GRAYSCALE);
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Size dsize;
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cv::Mat resized_image;
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cv::fastcv::resizeDownBy2(inputImage, resized_image);
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EXPECT_FALSE(resized_image.empty());
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cv::Mat resizedImageOpenCV;
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cv::resize(inputImage, resizedImageOpenCV, cv::Size(inputImage.cols / 2, inputImage.rows / 2), 0, 0, INTER_AREA);
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cv::Mat diffImage;
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cv::absdiff(resized_image, resizedImageOpenCV, diffImage);
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// Calculate the maximum difference
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double maxVal=0.0;
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cv::minMaxLoc(diffImage, nullptr, &maxVal);
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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(resizeDownBy4, accuracy)
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{
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cv::Mat inputImage = cv::imread(cvtest::findDataFile("cv/shared/box_in_scene.png"), cv::IMREAD_GRAYSCALE);
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Size dsize;
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cv::Mat resized_image;
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cv::fastcv::resizeDownBy4(inputImage, resized_image);
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EXPECT_FALSE(resized_image.empty());
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cv::Mat resizedImageOpenCV;
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cv::resize(inputImage, resizedImageOpenCV, cv::Size(inputImage.cols / 4, inputImage.rows / 4), 0, 0, INTER_AREA);
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cv::Mat diffImage;
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cv::absdiff(resized_image, resizedImageOpenCV, diffImage);
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// Calculate the maximum difference
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double maxVal=0.0;
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cv::minMaxLoc(diffImage, nullptr, &maxVal);
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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(ResizeBy2Test, ResizeBy2) {
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//Size size = get<0>(GetParam());
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Size size = GetParam();
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cv::Mat inputImage(size, CV_8UC1);
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randu(inputImage, Scalar::all(0), Scalar::all(255)); // Fill with random values
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Size dsize;
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cv::Mat resized_image;
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// Resize the image by a factor of 2
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cv::fastcv::resizeDownBy2(inputImage, resized_image);
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// Check if the output size is correct
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EXPECT_EQ(resized_image.size().width, size.width * 0.5);
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EXPECT_EQ(resized_image.size().height, size.height * 0.5);
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}
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TEST_P(ResizeBy4Test, ResizeBy2) {
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//Size size = get<0>(GetParam());
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Size size = GetParam();
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cv::Mat inputImage(size, CV_8UC1);
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randu(inputImage, Scalar::all(0), Scalar::all(255)); // Fill with random values
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Size dsize;
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cv::Mat resized_image;
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// Resize the image by a factor of 2
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cv::fastcv::resizeDownBy4(inputImage, resized_image);
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// Check if the output size is correct
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EXPECT_EQ(resized_image.size().width, size.width * 0.25);
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EXPECT_EQ(resized_image.size().height, size.height * 0.25);
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}
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INSTANTIATE_TEST_CASE_P(
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ResizeTests,
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ResizeBy2Test,
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::testing::Values(cv::Size(640, 480), cv::Size(1280, 720), cv::Size(1920, 1080)
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));
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INSTANTIATE_TEST_CASE_P(
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ResizeTests,
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ResizeBy4Test,
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::testing::Values(cv::Size(640, 480), cv::Size(1280, 720), cv::Size(1920, 1080)
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));
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}} // namespaces opencv_test, ::
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