vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

2026-08-22 00:11:13 +08:00
commit 12022378a3
3872 changed files with 2513409 additions and 0 deletions
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+/*
+ * Copyright (c) 2024-2025 Qualcomm Innovation Center, Inc. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+*/
+
+#include "test_precomp.hpp"
+
+namespace opencv_test { namespace {
+
+typedef testing::TestWithParam<tuple<Size, int, int, bool>> GaussianBlurTest;
+
+TEST_P(GaussianBlurTest, accuracy)
+{
+    cv::Size srcSize = get<0>(GetParam());
+    int depth = get<1>(GetParam());
+    int ksize = get<2>(GetParam());
+    bool border = get<3>(GetParam());
+
+    // For some cases FastCV not support, so skip them
+    if((ksize!=5) && (depth!=CV_8U))
+        return;
+
+    cv::Mat src(srcSize, depth);
+    cv::Mat dst,ref;
+    RNG& rng = cv::theRNG();
+    cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
+
+    cv::fastcv::gaussianBlur(src, dst, ksize, border);
+
+    if(depth == CV_32S)
+        src.convertTo(src, CV_32F);
+    cv::GaussianBlur(src,ref,Size(ksize,ksize),0,0,border);
+    ref.convertTo(ref,depth);
+
+    cv::Mat difference;
+    cv::absdiff(dst, ref, difference);
+
+    int num_diff_pixels = cv::countNonZero(difference);
+
+    EXPECT_LT(num_diff_pixels, (src.rows+src.cols)*ksize);
+}
+
+typedef testing::TestWithParam<tuple<Size, int, int>> Filter2DTest;
+
+TEST_P(Filter2DTest, accuracy)
+{
+    Size srcSize = get<0>(GetParam());
+    int ddepth   = get<1>(GetParam());
+    int ksize    = get<2>(GetParam());
+
+    cv::Mat src(srcSize, CV_8U);
+    cv::Mat kernel;
+    cv::Mat dst, ref;
+
+    switch (ddepth)
+    {
+        case CV_8U:
+        case CV_16S:
+        {
+            kernel.create(ksize,ksize,CV_8S);
+            break;
+        }
+        case CV_32F:
+        {
+            kernel.create(ksize,ksize,CV_32F);
+            break;
+        }
+        default:
+            return;
+    }
+
+    RNG& rng = cv::theRNG();
+    cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
+    cvtest::randUni(rng, kernel, Scalar::all(INT8_MIN), Scalar::all(INT8_MAX));
+
+    cv::fastcv::filter2D(src, dst, ddepth, kernel);
+    cv::filter2D(src, ref, ddepth, kernel);
+
+    cv::Mat difference;
+    dst.convertTo(dst, CV_8U);
+    ref.convertTo(ref, CV_8U);
+    cv::absdiff(dst, ref, difference);
+
+    int num_diff_pixels = cv::countNonZero(difference);
+    EXPECT_LT(num_diff_pixels, (src.rows+src.cols)*ksize);
+}
+
+typedef testing::TestWithParam<tuple<Size, int>> SepFilter2DTest;
+
+TEST_P(SepFilter2DTest, accuracy)
+{
+    Size srcSize = get<0>(GetParam());
+    int ksize    = get<1>(GetParam());
+
+    cv::Mat src(srcSize, CV_8U);
+    cv::Mat kernel(1,ksize,CV_8S);
+    cv::Mat dst,ref;
+    RNG& rng = cv::theRNG();
+    cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
+    cvtest::randUni(rng, kernel, Scalar::all(INT8_MIN), Scalar::all(INT8_MAX));
+
+    cv::fastcv::sepFilter2D(src, dst, CV_8U, kernel, kernel);
+    cv::sepFilter2D(src,ref,CV_8U,kernel,kernel);
+
+    cv::Mat difference;
+    cv::absdiff(dst, ref, difference);
+    int num_diff_pixels = cv::countNonZero(difference);
+    EXPECT_LT(num_diff_pixels, (src.rows+src.cols)*ksize);
+}
+
+typedef testing::TestWithParam<tuple<int>> NormalizeLocalBoxTest;
+
+TEST_P(NormalizeLocalBoxTest, accuracy)
+{
+    bool use_stddev = get<0>(GetParam());
+    cv::Mat src, dst;
+    src = imread(cvtest::findDataFile("cv/shared/baboon.png"), cv::IMREAD_GRAYSCALE);
+
+    cv::fastcv::normalizeLocalBox(src, dst, Size(5,5), use_stddev);
+    Scalar s = cv::mean(dst);
+
+    if(use_stddev)
+       EXPECT_LT(s[0],1);
+    else
+       EXPECT_LT(s[0],50);
+}
+
+
+INSTANTIATE_TEST_CASE_P(FastCV_Extension, GaussianBlurTest, Combine(
+/*image size*/     ::testing::Values(perf::szVGA, perf::sz720p, perf::sz1080p),
+/*image depth*/    ::testing::Values(CV_8U,CV_16S,CV_32S),
+/*kernel size*/    ::testing::Values(3, 5),
+/*blur border*/    ::testing::Values(true,false)
+));
+
+INSTANTIATE_TEST_CASE_P(FastCV_Extension, Filter2DTest, Combine(
+/*image sie*/      Values(perf::szVGA, perf::sz720p, perf::sz1080p),
+/*dst depth*/      Values(CV_8U,CV_16S,CV_32F),
+/*kernel size*/    Values(3, 5, 7, 9, 11)
+));
+
+INSTANTIATE_TEST_CASE_P(FastCV_Extension, SepFilter2DTest, Combine(
+/*image size*/      Values(perf::szVGA, perf::sz720p, perf::sz1080p),
+/*kernel size*/    Values(3, 5, 7, 9, 11)
+));
+
+INSTANTIATE_TEST_CASE_P(FastCV_Extension, NormalizeLocalBoxTest, Values(0,1));
+
+
+}} // namespaces opencv_test, ::