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opencv/modules/imgproc/test/test_resize_onnx.cpp
Ginkgo 358b64ad0e cuda resize onnx done
2024-06-10 15:45:54 +08:00

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "test_precomp.hpp"
namespace opencv_test { namespace {
struct ResizeOnnx
{
int interpolate;
Size szsrc, szref, szdst;
Point2d scale;
float cubic;
Rect2d roi;
/* make sure insrc is:
* (1) integer
* (2) range [-127, 127]
* (3) all non-positive or non-negative */
vector<double> insrc, inref;
void rand_roi(RNG& rng, Mat& src, Size size, int type)
{
int const border = 16;
int t = rng.next() % border;
int b = rng.next() % border;
int l = rng.next() % border;
int r = rng.next() % border;
if (rng.next() & 1)
{
src.create(size.height + t + b, size.width + l + r, type);
src.setTo(127);
src = src(Rect(l, t, size.width, size.height));
}
else
src.create(size, type);
}
void run()
{
CV_CheckGE(static_cast<int>(insrc.size()), szsrc.area(), "unexpected src size");
CV_CheckEQ(static_cast<int>(inref.size()), szref.area(), "unexpected ref size");
Mat iS(szsrc, CV_64F, insrc.data());
Mat iR(szref, CV_64F, inref.data());
Mat S = iS, R = iR, nS, nR;
double alpha[8] = {1, -1, 5, 5, 0, -3, -2, +4};
double beta[8] = {0, -0, 0, 7, 7, -7, -6, +6};
RNG rng;
for (int cn = 1; cn <= 8; ++cn)
{
if (cn > 1)
{
iS.convertTo(nS, -1, alpha[cn - 1], beta[cn - 1]);
iR.convertTo(nR, -1, alpha[cn - 1], beta[cn - 1]);
merge(vector<Mat>{S, nS}, S);
merge(vector<Mat>{R, nR}, R);
}
for (int depth = CV_8U; depth <= CV_64F; ++depth)
{
double eps = (depth <= CV_32S) ? 1.0 : 1e-3;
int type = CV_MAKETYPE(depth, cn);
string errinfo = "fail on type " + typeToString(type);
Mat src, ref, dst;
rand_roi(rng, src, szsrc, type);
if (szdst.area())
rand_roi(rng, dst, szdst, type);
S.convertTo(src, type);
R.convertTo(ref, type);
resizeOnnx(src, dst, szdst, scale, interpolate, cubic, roi);
EXPECT_EQ(ref.size(), dst.size()) << errinfo;
// nearest must give bit-same result
if ((interpolate & INTER_SAMPLER_MASK) == INTER_NEAREST)
EXPECT_EQ(cv::norm(ref, dst, NORM_INF), 0.0) << errinfo;
// cvRound(4.5) = 4, but when doing resize with int, we may get 5
else
EXPECT_LE(cv::norm(ref, dst, NORM_INF), eps) << errinfo;
}
}
}
};
// https://github.com/onnx/onnx/blob/main/docs/Operators.md#examples-128
TEST(ResizeOnnx, downsample_scales_cubic)
{
ResizeOnnx{
INTER_CUBIC,
Size(4, 4), Size(3, 3), Size(), Point2d(0.8, 0.8),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.47119141, 2.78125 , 4.08251953,
6.71142578, 8.02148438, 9.32275391,
11.91650391, 13.2265625, 14.52783203,
}
}.run();
}
TEST(ResizeOnnx, downsample_scales_cubic_align_corners)
{
ResizeOnnx{
INTER_CUBIC | INTER_ALIGN_CORNERS,
Size(4, 4), Size(3, 3), Size(), Point2d(0.8, 0.8),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.0 , 2.39519159, 3.79038317,
6.58076634, 7.97595793, 9.37114951,
12.16153268, 13.55672427, 14.95191585,
}
}.run();
}
TEST(ResizeOnnx, downsample_scales_cubic_antialias)
{
ResizeOnnx{
INTER_CUBIC | INTER_ANTIALIAS,
Size(4, 4), Size(2, 2), Size(), Point2d(0.6, 0.6),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
2.5180721, 4.2858863,
9.589329 , 11.357142 ,
}
}.run();
}
TEST(ResizeOnnx, downsample_scales_linear)
{
ResizeOnnx{
INTER_LINEAR,
Size(4, 2), Size(2, 1), Size(), Point2d(0.6, 0.6),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8},
{2.6666665, 4.3333331}
}.run();
}
TEST(ResizeOnnx, downsample_scales_linear_align_corners)
{
ResizeOnnx{
INTER_LINEAR | INTER_ALIGN_CORNERS,
Size(4, 2), Size(2, 1), Size(), Point2d(0.6, 0.6),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8},
{1.0, 3.142857}
}.run();
}
TEST(ResizeOnnx, downsample_scales_linear_antialias)
{
ResizeOnnx{
INTER_LINEAR | INTER_ANTIALIAS,
Size(4, 4), Size(2, 2), Size(), Point2d(0.6, 0.6),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
2.875, 4.5,
9.375, 11.0,
}
}.run();
}
TEST(ResizeOnnx, downsample_scales_linear_half_pixel_symmetric)
{
ResizeOnnx{
INTER_LINEAR | INTER_HALF_PIXEL_SYMMETRIC,
Size(4, 1), Size(2, 1), Size(), Point2d(0.6, 1.0),
-0.75f, Rect2d(),
{1, 2, 3, 4},
{1.6666667, 3.3333333}
}.run();
}
TEST(ResizeOnnx, downsample_scales_nearest)
{
ResizeOnnx{
INTER_NEAREST,
Size(4, 2), Size(2, 1), Size(), Point2d(0.6, 0.6),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8},
{1, 3}
}.run();
}
TEST(ResizeOnnx, downsample_sizes_cubic)
{
ResizeOnnx{
INTER_CUBIC,
Size(4, 4), Size(3, 3), Size(3, 3), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.63078704, 3.00462963, 4.37847222,
7.12615741, 8.5 , 9.87384259,
12.62152778, 13.99537037, 15.36921296,
}
}.run();
}
TEST(ResizeOnnx, downsample_sizes_cubic_antialias)
{
ResizeOnnx{
INTER_CUBIC | INTER_ANTIALIAS,
Size(4, 4), Size(3, 3), Size(3, 3), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.7750092, 3.1200073, 4.4650054,
7.1550016, 8.5 , 9.844998 ,
12.534994, 13.8799925, 15.224991 ,
}
}.run();
}
TEST(ResizeOnnx, downsample_sizes_linear_antialias)
{
ResizeOnnx{
INTER_LINEAR | INTER_ANTIALIAS,
Size(4, 4), Size(3, 3), Size(3, 3), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
2.3636363, 3.590909, 4.818182,
7.2727275, 8.5 , 9.727273,
12.181818 , 13.409091, 14.636364,
}
}.run();
}
TEST(ResizeOnnx, downsample_sizes_linear_pytorch_half_pixel)
{
ResizeOnnx{
INTER_LINEAR | INTER_HALF_PIXEL_PYTORCH,
Size(4, 4), Size(1, 3), Size(1, 3), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.6666666,
7.0 ,
12.333333,
}
}.run();
}
TEST(ResizeOnnx, downsample_sizes_nearest)
{
ResizeOnnx{
INTER_NEAREST,
Size(4, 2), Size(3, 1), Size(3, 1), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8},
{1, 2, 4}
}.run();
}
TEST(ResizeOnnx, tf_crop_and_resize)
{
// Note: for some rois, the result may be different with that of TF for inaccurate floating point
ResizeOnnx{
INTER_LINEAR | INTER_TF_CROP_RESIZE,
Size(4, 4), Size(3, 3), Size(3, 3), Point2d(),
-0.75f, Rect2d(0.6, 0.4, 0.2, 0.2),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
7.6000004, 7.9, 8.2 ,
8.8 , 9.1, 9.400001,
10.0 , 10.3, 10.6 ,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_cubic)
{
ResizeOnnx{
INTER_CUBIC,
Size(4, 4), Size(8, 8), Size(), Point2d(2.0, 2.0),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
0.47265625, 0.76953125, 1.24609375, 1.875, 2.28125, 2.91015625, 3.38671875, 3.68359375,
1.66015625, 1.95703125, 2.43359375, 3.0625, 3.46875, 4.09765625, 4.57421875, 4.87109375,
3.56640625, 3.86328125, 4.33984375, 4.96875, 5.375, 6.00390625, 6.48046875, 6.77734375,
6.08203125, 6.37890625, 6.85546875, 7.484375, 7.890625, 8.51953125, 8.99609375, 9.29296875,
7.70703125, 8.00390625, 8.48046875, 9.109375, 9.515625, 10.14453125, 10.62109375, 10.91796875,
10.22265625, 10.51953125, 10.99609375, 11.625, 12.03125, 12.66015625, 13.13671875, 13.43359375,
12.12890625, 12.42578125, 12.90234375, 13.53125, 13.9375, 14.56640625, 15.04296875, 15.33984375,
13.31640625, 13.61328125, 14.08984375, 14.71875, 15.125, 15.75390625, 16.23046875, 16.52734375,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_cubic_align_corners)
{
ResizeOnnx{
INTER_CUBIC | INTER_ALIGN_CORNERS,
Size(4, 4), Size(8, 8), Size(), Point2d(2.0, 2.0),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.0, 1.34110787, 1.80029155, 2.32944606, 2.67055394, 3.19970845, 3.65889213, 4.0,
2.36443149, 2.70553936, 3.16472303, 3.69387755, 4.03498542, 4.56413994, 5.02332362, 5.36443149,
4.20116618, 4.54227405, 5.00145773, 5.53061224, 5.87172012, 6.40087464, 6.86005831, 7.20116618,
6.31778426, 6.65889213, 7.1180758, 7.64723032, 7.98833819, 8.51749271, 8.97667638, 9.31778426,
7.68221574, 8.02332362, 8.48250729, 9.01166181, 9.35276968, 9.8819242, 10.34110787, 10.68221574,
9.79883382, 10.13994169, 10.59912536, 11.12827988, 11.46938776, 11.99854227, 12.45772595, 12.79883382,
11.63556851, 11.97667638, 12.43586006, 12.96501458, 13.30612245, 13.83527697, 14.29446064, 14.63556851,
13.0, 13.34110787, 13.80029155, 14.32944606, 14.67055394, 15.19970845, 15.65889213, 16.0,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_cubic_asymmetric)
{
ResizeOnnx{
INTER_CUBIC | INTER_ASYMMETRIC,
Size(4, 4), Size(8, 8), Size(), Point2d(2.0, 2.0),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1.0, 1.40625, 2.0, 2.5, 3.0, 3.59375, 4.0, 4.09375,
2.625, 3.03125, 3.625, 4.125, 4.625, 5.21875, 5.625, 5.71875,
5.0, 5.40625, 6.0, 6.5, 7.0, 7.59375, 8.0, 8.09375,
7.0, 7.40625, 8.0, 8.5, 9.0, 9.59375, 10.0, 10.09375,
9.0, 9.40625, 10.0, 10.5, 11.0, 11.59375, 12.0, 12.09375,
11.375, 11.78125, 12.375, 12.875, 13.375, 13.96875, 14.375, 14.46875,
13.0, 13.40625, 14.0, 14.5, 15.0, 15.59375, 16.0, 16.09375,
13.375, 13.78125, 14.375, 14.875, 15.375, 15.96875, 16.375, 16.46875,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_linear)
{
ResizeOnnx{
INTER_LINEAR,
Size(2, 2), Size(4, 4), Size(), Point2d(2.0, 2.0),
-0.75f, Rect2d(),
{1, 2, 3, 4},
{
1.0, 1.25, 1.75, 2.0,
1.5, 1.75, 2.25, 2.5,
2.5, 2.75, 3.25, 3.5,
3.0, 3.25, 3.75, 4.0,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_linear_align_corners)
{
ResizeOnnx{
INTER_LINEAR | INTER_ALIGN_CORNERS,
Size(2, 2), Size(4, 4), Size(), Point2d(2.0, 2.0),
-0.75f, Rect2d(),
{1, 2, 3, 4},
{
1.0, 1.33333333, 1.66666667, 2.0,
1.66666667, 2.0, 2.33333333, 2.66666667,
2.33333333, 2.66666667, 3.0, 3.33333333,
3.0, 3.33333333, 3.66666667, 4.0,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_linear_half_pixel_symmetric)
{
ResizeOnnx{
INTER_LINEAR | INTER_HALF_PIXEL_SYMMETRIC,
Size(2, 2), Size(5, 4), Size(), Point2d(2.94, 2.3),
-0.75f, Rect2d(),
{1, 2, 3, 4},
{
1.0 , 1.15986395, 1.5 , 1.84013605, 2.0 ,
1.56521738, 1.72508133, 2.06521738, 2.40535343, 2.56521738,
2.43478262, 2.59464657, 2.93478262, 3.27491867, 3.43478262,
3.0 , 3.15986395, 3.5 , 3.84013605, 4.0 ,
}
}.run();
}
TEST(ResizeOnnx, upsample_scales_nearest)
{
ResizeOnnx{
INTER_NEAREST,
Size(2, 2), Size(6, 4), Size(), Point2d(3.0, 2.0),
-0.75f, Rect2d(),
{1, 2, 3, 4},
{
1, 1, 1, 2, 2, 2,
1, 1, 1, 2, 2, 2,
3, 3, 3, 4, 4, 4,
3, 3, 3, 4, 4, 4,
}
}.run();
}
TEST(ResizeOnnx, upsample_sizes_cubic)
{
ResizeOnnx{
INTER_CUBIC,
Size(4, 4), Size(10, 9), Size(10, 9), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
0.45507922, 0.64057922, 0.97157922, 1.42257922, 1.90732922, 2.22332922, 2.70807922, 3.15907922, 3.49007922, 3.67557922,
1.39437963, 1.57987963, 1.91087963, 2.36187963, 2.84662963, 3.16262963, 3.64737963, 4.09837963, 4.42937963, 4.61487963,
2.95130693, 3.13680693, 3.46780693, 3.91880693, 4.40355693, 4.71955693, 5.20430693, 5.65530693, 5.98630693, 6.17180693,
5.20525069, 5.39075069, 5.72175069, 6.17275069, 6.65750069, 6.97350069, 7.45825069, 7.90925069, 8.24025069, 8.42575069,
6.88975, 7.07525, 7.40625, 7.85725, 8.342, 8.658, 9.14275, 9.59375, 9.92475, 10.11025,
8.57424931, 8.75974931, 9.09074931, 9.54174931, 10.02649931, 10.34249931, 10.82724931, 11.27824931, 11.60924931, 11.79474931,
10.82819307, 11.01369307, 11.34469307, 11.79569307, 12.28044307, 12.59644307, 13.08119307, 13.53219307, 13.86319307, 14.04869307,
12.38512037, 12.57062037, 12.90162037, 13.35262037, 13.83737037, 14.15337037, 14.63812037, 15.08912037, 15.42012037, 15.60562037,
13.32442078, 13.50992078, 13.84092078, 14.29192078, 14.77667078, 15.09267078, 15.57742078, 16.02842078, 16.35942078, 16.54492078,
}
}.run();
}
TEST(ResizeOnnx, upsample_sizes_nearest)
{
ResizeOnnx{
INTER_NEAREST,
Size(2, 2), Size(8, 7), Size(8, 7), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4},
{
1, 1, 1, 1, 2, 2, 2, 2,
1, 1, 1, 1, 2, 2, 2, 2,
1, 1, 1, 1, 2, 2, 2, 2,
1, 1, 1, 1, 2, 2, 2, 2,
3, 3, 3, 3, 4, 4, 4, 4,
3, 3, 3, 3, 4, 4, 4, 4,
3, 3, 3, 3, 4, 4, 4, 4,
}
}.run();
}
TEST(ResizeOnnx, upsample_sizes_nearest_ceil_half_pixel)
{
ResizeOnnx{
INTER_NEAREST | INTER_NEAREST_CEIL,
Size(4, 4), Size(8, 8), Size(8, 8), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1, 2, 2, 3, 3, 4, 4, 4,
5, 6, 6, 7, 7, 8, 8, 8,
5, 6, 6, 7, 7, 8, 8, 8,
9, 10, 10, 11, 11, 12, 12, 12,
9, 10, 10, 11, 11, 12, 12, 12,
13, 14, 14, 15, 15, 16, 16, 16,
13, 14, 14, 15, 15, 16, 16, 16,
13, 14, 14, 15, 15, 16, 16, 16,
}
}.run();
}
TEST(ResizeOnnx, upsample_sizes_nearest_floor_align_corners)
{
ResizeOnnx{
INTER_NEAREST | INTER_NEAREST_FLOOR | INTER_ALIGN_CORNERS,
Size(4, 4), Size(8, 8), Size(8, 8), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1, 1, 1, 2, 2, 3, 3, 4,
1, 1, 1, 2, 2, 3, 3, 4,
1, 1, 1, 2, 2, 3, 3, 4,
5, 5, 5, 6, 6, 7, 7, 8,
5, 5, 5, 6, 6, 7, 7, 8,
9, 9, 9, 10, 10, 11, 11, 12,
9, 9, 9, 10, 10, 11, 11, 12,
13, 13, 13, 14, 14, 15, 15, 16,
}
}.run();
}
TEST(ResizeOnnx, upsample_sizes_nearest_round_prefer_ceil_asymmetric)
{
ResizeOnnx{
INTER_NEAREST | INTER_NEAREST_PREFER_CEIL | INTER_ASYMMETRIC,
Size(4, 4), Size(8, 8), Size(8, 8), Point2d(),
-0.75f, Rect2d(),
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16},
{
1, 2, 2, 3, 3, 4, 4, 4,
5, 6, 6, 7, 7, 8, 8, 8,
5, 6, 6, 7, 7, 8, 8, 8,
9, 10, 10, 11, 11, 12, 12, 12,
9, 10, 10, 11, 11, 12, 12, 12,
13, 14, 14, 15, 15, 16, 16, 16,
13, 14, 14, 15, 15, 16, 16, 16,
13, 14, 14, 15, 15, 16, 16, 16,
}
}.run();
}
}}
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