|
|
|
@ -1491,16 +1491,39 @@ TEST(Imgproc_resize_area, regression) |
|
|
|
|
}; |
|
|
|
|
|
|
|
|
|
cv::Mat src(16, 16, CV_16UC1, input_data); |
|
|
|
|
cv::Mat actual; |
|
|
|
|
cv::Mat expected(5,5,CV_16UC1, expected_data); |
|
|
|
|
cv::Mat actual(expected.size(), expected.type()); |
|
|
|
|
|
|
|
|
|
cv::resize(src, actual, cv::Size(), 0.3, 0.3, INTER_AREA); |
|
|
|
|
cv::resize(src, actual, actual.size(), 0.0, 0.0, INTER_AREA); |
|
|
|
|
|
|
|
|
|
ASSERT_EQ(actual.type(), expected.type()); |
|
|
|
|
ASSERT_EQ(actual.size(), expected.size()); |
|
|
|
|
Mat diff; |
|
|
|
|
absdiff(actual, expected, diff); |
|
|
|
|
Mat one_channel_diff = diff.reshape(1); |
|
|
|
|
|
|
|
|
|
int elem_diff = 1.0f; |
|
|
|
|
Size dsize = actual.size(); |
|
|
|
|
for (int dy = 0; dy < dsize.height; ++dy) |
|
|
|
|
{ |
|
|
|
|
ushort* eD = expected.ptr<ushort>(dy); |
|
|
|
|
ushort* aD = actual.ptr<ushort>(dy); |
|
|
|
|
|
|
|
|
|
for (int dx = 0; dx < dsize.width; ++dx) |
|
|
|
|
if (fabs(static_cast<float>(aD[dx] - eD[dx])) > elem_diff) |
|
|
|
|
{ |
|
|
|
|
cvtest::TS::ptr()->printf(cvtest::TS::SUMMARY, "Inf norm: %f\n", static_cast<float>(norm(actual, expected, NORM_INF))); |
|
|
|
|
cvtest::TS::ptr()->printf(cvtest::TS::SUMMARY, "Error in : (%d, %d)\n", dx, dy); |
|
|
|
|
|
|
|
|
|
const int radius = 3; |
|
|
|
|
int rmin = MAX(dy - radius, 0), rmax = MIN(dy + radius, dsize.height); |
|
|
|
|
int cmin = MAX(dx - radius, 0), cmax = MIN(dx + radius, dsize.width); |
|
|
|
|
|
|
|
|
|
std::cout << "actual result:\n" << actual(Range(rmin, rmax), Range(cmin, cmax)) << std::endl; |
|
|
|
|
std::cout << "expected result:\n" << expected(Range(rmin, rmax), Range(cmin, cmax)) << std::endl; |
|
|
|
|
} |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|
ASSERT_EQ(norm(one_channel_diff, cv::NORM_INF),0); |
|
|
|
|
} |
|
|
|
|
|
|
|
|
|