// the texel center right (everything is nicely symmetric).
// The approximate magnitudes have been checked against ImageMagick.
float expected_data[size * size] = {
- 0.0045, -0.0067, -0.0598, -0.0067, 0.0045,
- -0.0067, 0.0099, 0.0886, 0.0099, -0.0067,
- -0.0598, 0.0886, 0.7930, 0.0886, -0.0598,
- -0.0067, 0.0099, 0.0886, 0.0099, -0.0067,
- 0.0045, -0.0067, -0.0598, -0.0067, 0.0045,
+ 0.0045, -0.0067, -0.0599, -0.0067, 0.0045,
+ -0.0067, 0.0100, 0.0892, 0.0100, -0.0067,
+ -0.0599, 0.0890, 0.7925, 0.0892, -0.0599,
+ -0.0067, 0.0100, 0.0890, 0.0100, -0.0067,
+ 0.0045, -0.0067, -0.0599, -0.0067, 0.0045,
};
float data[size * size * 4], out_data[size * size];
EXPECT_FLOAT_EQ(1.0, out_data[7 * (size * 3) + 7]);
for (unsigned y = 0; y < size * 3; ++y) {
for (unsigned x = 0; x < size * 3; ++x) {
- EXPECT_FLOAT_EQ(out_data[y * (size * 3) + x], out_data[(size * 3 - y - 1) * (size * 3) + x]);
- EXPECT_FLOAT_EQ(out_data[y * (size * 3) + x], out_data[y * (size * 3) + (size * 3 - x - 1)]);
+ EXPECT_NEAR(out_data[y * (size * 3) + x], out_data[(size * 3 - y - 1) * (size * 3) + x], 1e-6);
+ EXPECT_NEAR(out_data[y * (size * 3) + x], out_data[y * (size * 3) + (size * 3 - x - 1)], 1e-6);
}
}
}
// Require that we are within 10-bit accuracy. Note that this limit is for
// one pass only, but the limit is tight enough that it should be good enough
// for 10-bit accuracy even after two passes.
- expect_equal(expected_data, out_data, dwidth, dheight, 0.1 / 1023.0);
+ expect_equal(expected_data, out_data, dwidth, dheight, 0.12 / 1023.0);
}
TEST(ResampleEffectTest, ReadWholePixelFromLeft) {
expect_equal(expected_data, out_data, width, height);
}
+TEST(ResampleEffectTest, ReadHalfPixelFromLeftAndScale) {
+ const int src_width = 4;
+ const int dst_width = 8;
+
+ float data[src_width * 1] = {
+ 1.0, 2.0, 3.0, 4.0,
+ };
+ float expected_data[dst_width * 1] = {
+ // Empirical; the real test is that we are the same for 0.499 and 0.501.
+ 1.1553, 1.7158, 2.2500, 2.7461, 3.2812, 3.8418, 4.0703, 4.0508
+ };
+ float out_data[dst_width * 1];
+
+ EffectChainTester tester(NULL, dst_width, 1, FORMAT_GRAYSCALE, COLORSPACE_sRGB, GAMMA_LINEAR);
+
+ ImageFormat format;
+ format.color_space = COLORSPACE_sRGB;
+ format.gamma_curve = GAMMA_LINEAR;
+
+ FlatInput *input = new FlatInput(format, FORMAT_GRAYSCALE, GL_FLOAT, src_width, 1);
+ input->set_pixel_data(data);
+ tester.get_chain()->add_input(input);
+
+ Effect *resample_effect = tester.get_chain()->add_effect(new ResampleEffect());
+ ASSERT_TRUE(resample_effect->set_int("width", dst_width));
+ ASSERT_TRUE(resample_effect->set_int("height", 1));
+
+ // Check that we are (almost) the same no matter the rounding.
+ ASSERT_TRUE(resample_effect->set_float("left", 0.499f));
+ tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR);
+ expect_equal(expected_data, out_data, dst_width, 1, 1.5f / 255.0f, 0.4f / 255.0f);
+
+ ASSERT_TRUE(resample_effect->set_float("left", 0.501f));
+ tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR);
+ expect_equal(expected_data, out_data, dst_width, 1, 1.5f / 255.0f, 0.4f / 255.0f);
+}
+
+TEST(ResampleEffectTest, Zoom) {
+ const int width = 5;
+ const int height = 3;
+
+ float data[width * height] = {
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.2, 0.4, 0.6, 0.4, 0.2,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ };
+ float expected_data[width * height] = {
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.4, 0.5396, 0.6, 0.5396, 0.4,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ };
+ float out_data[width * height];
+
+ EffectChainTester tester(data, width, height, FORMAT_GRAYSCALE, COLORSPACE_sRGB, GAMMA_LINEAR);
+ Effect *resample_effect = tester.get_chain()->add_effect(new ResampleEffect());
+ ASSERT_TRUE(resample_effect->set_int("width", width));
+ ASSERT_TRUE(resample_effect->set_int("height", height));
+ ASSERT_TRUE(resample_effect->set_float("zoom_x", 2.0f));
+ tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR);
+
+ expect_equal(expected_data, out_data, width, height);
+}
+
+TEST(ResampleEffectTest, VerticalZoomFromTop) {
+ const int width = 5;
+ const int height = 5;
+
+ float data[width * height] = {
+ 0.2, 0.4, 0.6, 0.4, 0.2,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ };
+
+ // Largely empirical data; the main point is that the top line
+ // is unchanged, since that's our zooming point.
+ float expected_data[width * height] = {
+ 0.2000, 0.4000, 0.6000, 0.4000, 0.2000,
+ 0.1389, 0.2778, 0.4167, 0.2778, 0.1389,
+ 0.0600, 0.1199, 0.1798, 0.1199, 0.0600,
+ 0.0000, 0.0000, 0.0000, 0.0000, 0.0000,
+ -0.0229, -0.0459, -0.0688, -0.0459, -0.0229,
+ };
+ float out_data[width * height];
+
+ EffectChainTester tester(data, width, height, FORMAT_GRAYSCALE, COLORSPACE_sRGB, GAMMA_LINEAR);
+ Effect *resample_effect = tester.get_chain()->add_effect(new ResampleEffect());
+ ASSERT_TRUE(resample_effect->set_int("width", width));
+ ASSERT_TRUE(resample_effect->set_int("height", height));
+ ASSERT_TRUE(resample_effect->set_float("zoom_y", 3.0f));
+ ASSERT_TRUE(resample_effect->set_float("zoom_center_y", 0.5f / height));
+ tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR);
+
+ expect_equal(expected_data, out_data, width, height);
+}
+
+TEST(ResampleEffectTest, Precision) {
+ const int size = 1920; // Difficult non-power-of-two size.
+ const int offset = 5;
+
+ // Deliberately put the data of interest very close to the right,
+ // where texture coordinates are farther from 0 and thus less precise.
+ float data[size * 2] = {0};
+ data[size - offset] = 1.0f;
+ float expected_data[size * 2] = {0};
+ for (int x = 0; x < size * 2; ++x) {
+ expected_data[x] = lanczos((x - (size - 2 * offset + 1) + 0.5f) * 0.5f, 3.0f);
+ }
+ float out_data[size * 2];
+
+ EffectChainTester tester(data, size * 2, 1, FORMAT_GRAYSCALE, COLORSPACE_sRGB, GAMMA_LINEAR);
+ Effect *resample_effect = tester.get_chain()->add_effect(new ResampleEffect());
+ ASSERT_TRUE(resample_effect->set_int("width", size * 2));
+ ASSERT_TRUE(resample_effect->set_int("height", 1));
+ ASSERT_TRUE(resample_effect->set_float("zoom_x", 2.0f));
+ tester.run(out_data, GL_RED, COLORSPACE_sRGB, GAMMA_LINEAR);
+
+ expect_equal(expected_data, out_data, size, 1);
+}
+
} // namespace movit