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Alexander Smorkalov 57970de586 Merge pull request #28035 from asmorkalov:as/windows_ci_5.x
Switch to the new Github actions pipeline for Windows in 5.x too #28035

### 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
2025-11-19 10:59:28 +03:00

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2.1 KiB
C++

// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
//
// Copyright (C) 2017, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
#include "perf_precomp.hpp"
namespace opencv_test {
using Utils_blobFromImage = TestBaseWithParam<std::vector<int>>;
PERF_TEST_P_(Utils_blobFromImage, HWC_TO_NCHW) {
std::vector<int> input_shape = GetParam();
Mat input(input_shape, CV_32FC3);
randu(input, -10.0f, 10.f);
TEST_CYCLE() {
Mat blob = blobFromImage(input);
}
SANITY_CHECK_NOTHING();
}
INSTANTIATE_TEST_CASE_P(/**/, Utils_blobFromImage,
Values(std::vector<int>{ 32, 32},
std::vector<int>{ 64, 64},
std::vector<int>{ 128, 128},
std::vector<int>{ 256, 256},
std::vector<int>{ 512, 512},
std::vector<int>{1024, 1024},
std::vector<int>{2048, 2048})
);
using Utils_blobFromImages = TestBaseWithParam<std::vector<int>>;
PERF_TEST_P_(Utils_blobFromImages, HWC_TO_NCHW) {
std::vector<int> input_shape = GetParam();
int batch = input_shape.front();
std::vector<int> input_shape_no_batch(input_shape.begin()+1, input_shape.end());
if (input_shape_no_batch[0]*input_shape_no_batch[1] >= 2048*2048)
{
applyTestTag( CV_TEST_TAG_MEMORY_2GB);
}
std::vector<Mat> inputs;
for (int i = 0; i < batch; i++) {
Mat input(input_shape_no_batch, CV_32FC3);
randu(input, -10.0f, 10.f);
inputs.push_back(input);
}
TEST_CYCLE() {
Mat blobs = blobFromImages(inputs);
}
SANITY_CHECK_NOTHING();
}
INSTANTIATE_TEST_CASE_P(/**/, Utils_blobFromImages,
Values(std::vector<int>{16, 32, 32},
std::vector<int>{16, 64, 64},
std::vector<int>{16, 128, 128},
std::vector<int>{16, 256, 256},
std::vector<int>{16, 512, 512},
std::vector<int>{16, 1024, 1024},
std::vector<int>{16, 2048, 2048})
);
}