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opencv_contrib/modules/fastcv/perf/perf_scale.cpp
Aakash Preetam 1e4d4e0f3e Merge pull request #3936 from CodeLinaro:apreetam_6thPost
Add warpAffine and resizeDown APIs in FastCV Extension #3936

- Added warpAffine function to apply affine transformations.
2x3 affine transformations for both CV_8UC1 and CV_8UC3 input
2x2 matrix-based patch extraction for grayscale images, with ROI.

- Deprecated resizeDownBy2 and resizeDownBy4 functions.
- Introduced resizeDown function to down-scale images using specified scaling factors or dimensions, supporting both single-channel (CV_8UC1) and two-channel (CV_8UC2) images.

### 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
2025-06-09 15:47:31 +03:00

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C++

/*
* Copyright (c) 2025 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#include "perf_precomp.hpp"
namespace opencv_test {
typedef perf::TestBaseWithParam<std::tuple<Size, int>> ResizePerfTest;
PERF_TEST_P(ResizePerfTest, run, ::testing::Combine(
::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p), // image size
::testing::Values(2, 4) // resize factor
))
{
Size size = std::get<0>(GetParam());
int factor = std::get<1>(GetParam());
cv::Mat inputImage(size, CV_8UC1);
cv::randu(inputImage, cv::Scalar::all(0), cv::Scalar::all(255));
cv::Mat resized_image;
Size dsize(inputImage.cols / factor, inputImage.rows / factor);
while (next())
{
startTimer();
cv::fastcv::resizeDown(inputImage, resized_image, dsize, 0, 0);
stopTimer();
}
SANITY_CHECK_NOTHING();
}
typedef perf::TestBaseWithParam<std::tuple<Size, double, double, int>> ResizeByMnPerfTest;
PERF_TEST_P(ResizeByMnPerfTest, run, ::testing::Combine(
::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p), // image size
::testing::Values(0.35, 0.65), // inv_scale_x
::testing::Values(0.35, 0.65), // inv_scale_y
::testing::Values(CV_8UC1, CV_8UC2) // data type
))
{
Size size = std::get<0>(GetParam());
double inv_scale_x = std::get<1>(GetParam());
double inv_scale_y = std::get<2>(GetParam());
int type = std::get<3>(GetParam());
cv::Mat inputImage(size, type);
cv::randu(inputImage, cv::Scalar::all(0), cv::Scalar::all(255));
Size dsize;
cv::Mat resized_image;
while (next())
{
startTimer();
cv::fastcv::resizeDown(inputImage, resized_image, dsize, inv_scale_x, inv_scale_y);
stopTimer();
}
SANITY_CHECK_NOTHING();
}
} // namespace