#define TEGRA_RESIZE(src_type, src_data, src_step, src_width, src_height, dst_data, dst_step, dst_width, dst_height, inv_scale_x, inv_scale_y, interpolation) \
( \
- /*bilinear interpolation disabled due to rounding accuracy issues*/ \
- /*interpolation == CV_HAL_INTER_LINEAR ? \
+ interpolation == CV_HAL_INTER_LINEAR ? \
CV_MAT_DEPTH(src_type) == CV_8U && CAROTENE_NS::isResizeLinearOpenCVSupported(CAROTENE_NS::Size2D(src_width, src_height), CAROTENE_NS::Size2D(dst_width, dst_height), ((src_type >> CV_CN_SHIFT) + 1)) && \
inv_scale_x > 0 && inv_scale_y > 0 && \
(dst_width - 0.5)/inv_scale_x - 0.5 < src_width && (dst_height - 0.5)/inv_scale_y - 0.5 < src_height && \
std::abs(dst_width / inv_scale_x - src_width) < 0.1 && std::abs(dst_height / inv_scale_y - src_height) < 0.1 ? \
CAROTENE_NS::resizeLinearOpenCV(CAROTENE_NS::Size2D(src_width, src_height), CAROTENE_NS::Size2D(dst_width, dst_height), \
src_data, src_step, dst_data, dst_step, 1.0/inv_scale_x, 1.0/inv_scale_y, ((src_type >> CV_CN_SHIFT) + 1)), \
- CV_HAL_ERROR_OK : CV_HAL_ERROR_NOT_IMPLEMENTED :*/ \
+ CV_HAL_ERROR_OK : CV_HAL_ERROR_NOT_IMPLEMENTED : \
interpolation == CV_HAL_INTER_AREA ? \
CV_MAT_DEPTH(src_type) == CV_8U && CAROTENE_NS::isResizeAreaSupported(1.0/inv_scale_x, 1.0/inv_scale_y, ((src_type >> CV_CN_SHIFT) + 1)) && \
std::abs(dst_width / inv_scale_x - src_width) < 0.1 && std::abs(dst_height / inv_scale_y - src_height) < 0.1 ? \
UMAT_UPLOAD_INPUT_PARAMETER(src);
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
}
-
- void Near(double threshold = 0.0)
- {
- OCL_EXPECT_MATS_NEAR(dst, threshold);
- }
};
-#if defined(__aarch64__)
+#if defined(__aarch64__) || defined(__arm__)
const int integerEps = 3;
#else
const int integerEps = 1;
OCL_OFF(cv::resize(src_roi, dst_roi, Size(), fx, fy, interpolation));
OCL_ON(cv::resize(usrc_roi, udst_roi, Size(), fx, fy, interpolation));
- Near(eps);
+ OCL_EXPECT_MAT_N_DIFF(dst, eps);
}
}
if (noType != map2Type)
UMAT_UPLOAD_INPUT_PARAMETER(map2);
}
-
- void Near(double threshold = 0.0)
- {
- OCL_EXPECT_MATS_NEAR(dst, threshold);
- }
};
typedef Remap Remap_INTER_NEAREST;
OCL_OFF(cv::remap(src_roi, dst_roi, map1_roi, map2_roi, INTER_NEAREST, borderType, val));
OCL_ON(cv::remap(usrc_roi, udst_roi, umap1_roi, umap2_roi, INTER_NEAREST, borderType, val));
- Near(1.0);
+ OCL_EXPECT_MAT_N_DIFF(dst, 1.0);
}
}
// TODO investigate accuracy
if (cv::ocl::Device::getDefault().isNVidia())
eps = 8.0;
+#elif defined(__arm__)
+ eps = 8.0;
#endif
OCL_OFF(cv::remap(src_roi, dst_roi, map1_roi, map2_roi, INTER_LINEAR, borderType, val));
OCL_ON(cv::remap(usrc_roi, udst_roi, umap1_roi, umap2_roi, INTER_LINEAR, borderType, val));
- Near(eps);
+ OCL_EXPECT_MAT_N_DIFF(dst, eps);
}
}
<< "Size: " << mat1.size() << std::endl; \
} while ((void)0, 0)
+#define OCL_EXPECT_MAT_N_DIFF(name, eps) \
+do \
+{ \
+ ASSERT_EQ(name ## _roi.type(), u ## name ## _roi.type()); \
+ ASSERT_EQ(name ## _roi.size(), u ## name ## _roi.size()); \
+ Mat diff, binary, binary_8; \
+ absdiff(name ## _roi, u ## name ## _roi, diff); \
+ Mat mask(diff.size(), CV_8UC(dst.channels()), cv::Scalar::all(255)); \
+ if (mask.cols > 2 && mask.rows > 2) \
+ mask(cv::Rect(1, 1, mask.cols - 2, mask.rows - 2)).setTo(0); \
+ cv::threshold(diff, binary, (double)eps, 255, cv::THRESH_BINARY); \
+ EXPECT_LE(countNonZero(binary.reshape(1)), (int)(binary.cols*binary.rows*5/1000)) \
+ << "Size: " << name ## _roi.size() << std::endl; \
+ binary.convertTo(binary_8, mask.type()); \
+ binary_8 = binary_8 & mask; \
+ EXPECT_LE(countNonZero(binary_8.reshape(1)), (int)((binary_8.cols+binary_8.rows)/100)) \
+ << "Size: " << name ## _roi.size() << std::endl; \
+} while ((void)0, 0)
+
#define OCL_EXPECT_MATS_NEAR(name, eps) \
do \
{ \