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62 lines
2.0 KiB
C++
62 lines
2.0 KiB
C++
#include "test_precomp.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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const int ARITHM_NTESTS = 1000;
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const int ARITHM_RNG_SEED = -1;
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const int ARITHM_MAX_NDIMS = 4;
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const int ARITHM_MAX_SIZE_LOG = 10;
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const int ARITHM_MAX_CHANNELS = 4;
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static void getArithmValueRange(int depth, double& minval, double& maxval)
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{
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minval = depth < CV_32S ? cvtest::getMinVal(depth) : depth == CV_32S ? -1000000 : -1000.;
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maxval = depth < CV_32S ? cvtest::getMinVal(depth) : depth == CV_32S ? 1000000 : 1000.;
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}
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static double getArithmMaxErr(int depth)
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{
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return depth < CV_32F ? 0 : 4;
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}
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TEST(ArithmTest, add)
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{
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int testIdx = 0;
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RNG rng(ARITHM_RNG_SEED);
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for( testIdx = 0; testIdx < ARITHM_NTESTS; testIdx++ )
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{
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double minval, maxval;
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vector<int> size;
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cvtest::randomSize(rng, 2, ARITHM_MAX_NDIMS, ARITHM_MAX_SIZE_LOG, size);
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int type = cvtest::randomType(rng, cvtest::TYPE_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
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int depth = CV_MAT_DEPTH(type);
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bool haveMask = rng.uniform(0, 4) == 0;
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getArithmValueRange(depth, minval, maxval);
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Mat src1 = cvtest::randomMat(rng, size, type, minval, maxval, true);
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Mat src2 = cvtest::randomMat(rng, size, type, minval, maxval, true);
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Mat dst0 = cvtest::randomMat(rng, size, type, minval, maxval, false);
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Mat dst = cvtest::randomMat(rng, size, type, minval, maxval, true);
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Mat mask;
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if( haveMask )
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{
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mask = cvtest::randomMat(rng, size, CV_8U, 0, 2, true);
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cvtest::copy(dst0, dst);
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cvtest::add(src1, 1, src2, 1, Scalar::all(0), dst0, dst.type());
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cvtest::copy(dst, dst0, mask, true);
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add(src1, src2, dst, mask);
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}
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else
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{
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cvtest::add(src1, 1, src2, 1, Scalar::all(0), dst0, dst.type());
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add(src1, src2, dst);
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}
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double maxErr = getArithmMaxErr(depth);
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vector<int> pos;
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ASSERT_TRUE(cvtest::cmpEps(dst0, dst, maxErr, &pos)) << "position: " << Mat(pos);
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}
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}
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