};
-CV_ColorBayerTest::CV_ColorBayerTest() : CV_ColorCvtBaseTest( false, false, false )
+CV_ColorBayerTest::CV_ColorBayerTest() : CV_ColorCvtBaseTest( false, false, true )
{
test_array[OUTPUT].pop_back();
test_array[REF_OUTPUT].pop_back();
RNG& rng = ts->get_rng();
CV_ColorCvtBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
- types[INPUT][0] = CV_8UC1;
- types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_8UC3;
+ types[INPUT][0] = CV_MAT_DEPTH(types[INPUT][0]);
+ types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_MAKETYPE(CV_MAT_DEPTH(types[INPUT][0]), 3);
inplace = false;
fwd_code = cvtest::randInt(rng)%4 + CV_BayerBG2BGR;
}
-void CV_ColorBayerTest::prepare_to_validation( int /*test_case_idx*/ )
+template<typename T>
+static void bayer2BGR_(const Mat& src, Mat& dst, int code)
{
- const Mat& src = test_mat[INPUT][0];
- Mat& dst = test_mat[REF_OUTPUT][0];
int i, j, cols = src.cols - 2;
- int code = fwd_code;
int bi = 0;
- int step = src.step;
-
- if( fwd_code == CV_BayerRG2BGR || fwd_code == CV_BayerGR2BGR )
+ int step = (int)(src.step/sizeof(T));
+
+ if( code == CV_BayerRG2BGR || code == CV_BayerGR2BGR )
bi ^= 2;
-
+
for( i = 1; i < src.rows - 1; i++ )
{
- const uchar* ptr = src.ptr(i) + 1;
- uchar* dst_row = dst.ptr(i) + 3;
+ const T* ptr = src.ptr<T>(i) + 1;
+ T* dst_row = dst.ptr<T>(i) + 3;
int save_code = code;
if( cols <= 0 )
{
dst_row[cols*3] = dst_row[cols*3+1] = dst_row[cols*3+2] = 0;
continue;
}
-
+
for( j = 0; j < cols; j++ )
{
int b, g, r;
r = (ptr[j-step] + ptr[j+step]) >> 1;
}
code ^= 1;
- dst_row[j*3 + bi] = (uchar)b;
- dst_row[j*3 + 1] = (uchar)g;
- dst_row[j*3 + (bi^2)] = (uchar)r;
+ dst_row[j*3 + bi] = (T)b;
+ dst_row[j*3 + 1] = (T)g;
+ dst_row[j*3 + (bi^2)] = (T)r;
}
dst_row[-3] = dst_row[0];
if( src.rows <= 2 )
{
- memset( dst.ptr(), 0, (cols+2)*3 );
- memset( dst.ptr(dst.rows-1), 0, (cols+2)*3 );
+ memset( dst.ptr(), 0, (cols+2)*3*sizeof(T) );
+ memset( dst.ptr(dst.rows-1), 0, (cols+2)*3*sizeof(T) );
}
else
{
- uchar* top_row = dst.ptr();
- uchar* bottom_row = dst.ptr(dst.rows-1);
- int dstep = dst.step;
+ T* top_row = dst.ptr<T>();
+ T* bottom_row = dst.ptr<T>(dst.rows-1);
+ int dstep = (int)(dst.step/sizeof(T));
for( j = 0; j < (cols+2)*3; j++ )
{
}
}
+
+void CV_ColorBayerTest::prepare_to_validation( int /*test_case_idx*/ )
+{
+ const Mat& src = test_mat[INPUT][0];
+ Mat& dst = test_mat[REF_OUTPUT][0];
+ int depth = src.depth();
+ if( depth == CV_8U )
+ bayer2BGR_<uchar>(src, dst, fwd_code);
+ else if( depth == CV_16U )
+ bayer2BGR_<ushort>(src, dst, fwd_code);
+ else
+ CV_Error(CV_StsUnsupportedFormat, "");
+}
+
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(Imgproc_ColorGray, accuracy) { CV_ColorGrayTest test; test.safe_run(); }
#include "test_precomp.hpp"
CV_TEST_MAIN("cv")
+
+#if 0
+using namespace cv;
+using namespace std;
+
+int main(int, char**)
+{
+#if 0
+ Mat src = imread("/Users/vp/Downloads/resize/original.png"), dst;
+ //resize(src, dst, Size(), 0.25, 0.25, INTER_NEAREST);
+ //imwrite("/Users/vp/Downloads/resize/xnview_nn_opencv.png", dst);
+ printf("\n\n\n\n\n\n***************************************\n");
+ //resize(src, dst, Size(), 0.25, 0.25, INTER_AREA);
+ //int nsteps = 4;
+ //double rate = pow(0.25,1./nsteps);
+ //for( int i = 0; i < nsteps; i++ )
+ // resize(src, src, Size(), rate, rate, INTER_LINEAR );
+ //GaussianBlur(src, src, Size(5, 5), 2, 2);
+ resize(src, src, Size(), 0.25, 0.25, INTER_NEAREST);
+ imwrite("/Users/vp/Downloads/resize/xnview_bilinear_opencv.png", src);
+ //resize(src, dst, Size(), 0.25, 0.25, INTER_LANCZOS4);
+ //imwrite("/Users/vp/Downloads/resize/xnview_lanczos3_opencv.png", dst);
+#else
+ float data[] = {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24};
+ Mat src(5,5,CV_32FC1, data);
+ Mat dst;
+ resize(src, dst, Size(), 3, 3, INTER_NEAREST);
+ cout << src << endl;
+ cout << dst << endl;
+#endif
+ return 0;
+}
+#endif
+
+