1
0
mirror of https://github.com/opencv/opencv_contrib.git synced 2025-10-19 19:44:14 +08:00
Files
opencv_contrib/modules/fastcv/test/test_smooth.cpp
sssanjee-quic 2c7591c57f Merge pull request #3824 from CodeLinaro:FastcvHAL_1stPost
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
2024-12-02 10:53:50 +03:00

46 lines
1.6 KiB
C++

/*
* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#include "test_precomp.hpp"
namespace opencv_test { namespace {
typedef std::tuple<float, float> BilateralTestParams;
class BilateralRecursiveTest : public ::testing::TestWithParam<BilateralTestParams> {};
TEST_P(BilateralRecursiveTest, accuracy)
{
auto p = GetParam();
float sigmaColor = std::get<0>(p);
float sigmaSpace = std::get<1>(p);
cv::Mat src = imread(cvtest::findDataFile("cv/shared/baboon.png"), cv::IMREAD_GRAYSCALE);
Mat dst;
cv::fastcv::bilateralRecursive(src, dst, sigmaColor, sigmaSpace);
// NOTE: test files should be manually loaded to folder on a device, for example like this:
// adb push fastcv/misc/bilateral_recursive/ /sdcard/testdata/fastcv/bilateral/
cv::Mat ref = imread(cvtest::findDataFile(cv::format("fastcv/bilateral/rec_%2f_%2f.png", sigmaColor, sigmaSpace)),
IMREAD_GRAYSCALE);
if (cvtest::debugLevel > 0)
{
cv::imwrite(cv::format("rec_%2f_%2f.png", sigmaColor, sigmaSpace), dst);
}
double normInf = cvtest::norm(dst, ref, cv::NORM_INF);
double normL2 = cvtest::norm(dst, ref, cv::NORM_L2);
ASSERT_LT(normInf, 1);
ASSERT_LT(normL2, 1.f / src.size().area());
}
INSTANTIATE_TEST_CASE_P(FastCV_Extension, BilateralRecursiveTest,
::testing::Combine(::testing::Values(0.01f, 0.03f, 0.1f, 1.f, 5.f),
::testing::Values(0.01f, 0.05f, 0.1f, 1.f, 5.f)));
}} // namespaces opencv_test, ::