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Merge pull request #18451 from OrestChura:oc/count_non_zero

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[G-API]: countNonZero() Standard Kernel Implementation

* Add countNonZero() standard kernel
 - API and documentation provided
 - OCV backend supported
 - accuracy and performance tests provided
 - some refactoring of related documentation done

* Fix GOpaque functionality for OCL Backend
 - test for OCL Opaque usage providied

* countNonZero for GPU
 - OCL Backend implementation for countNonZero() added
 - tests provided

* Addressing comments
This commit is contained in:
Orest Chura
2020-09-30 19:07:35 +03:00
committed by GitHub
parent fc1a156262
commit 40b8b58bc6
15 changed files with 235 additions and 24 deletions
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modules/gapi/include/opencv2/gapi/core.hpp
+32 -11
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@@ -2,7 +2,7 @@
// 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.
//
// Copyright (C) 2018 Intel Corporation
// Copyright (C) 2018-2020 Intel Corporation
#ifndef OPENCV_GAPI_CORE_HPP
@@ -308,6 +308,13 @@ namespace core {
}
};
G_TYPED_KERNEL(GCountNonZero, <GOpaque<int>(GMat)>, "org.opencv.core.matrixop.countNonZero") {
static GOpaqueDesc outMeta(GMatDesc in) {
GAPI_Assert(in.chan == 1);
return empty_gopaque_desc();
}
};
G_TYPED_KERNEL(GAddW, <GMat(GMat, double, GMat, double, double, int)>, "org.opencv.core.matrixop.addweighted") {
static GMatDesc outMeta(GMatDesc a, double, GMatDesc b, double, double, int ddepth) {
if (ddepth == -1)
@@ -755,6 +762,7 @@ Supported matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1, @ref
@note Function textual ID is "org.opencv.core.math.mean"
@param src input matrix.
@sa countNonZero, min, max
*/
GAPI_EXPORTS_W GScalar mean(const GMat& src);
@@ -856,7 +864,7 @@ Supported input matrix data types are @ref CV_8UC1, @ref CV_16UC1, @ref CV_16SC1
@note Function textual ID is "org.opencv.core.pixelwise.compare.cmpGT"
@param src1 first input matrix.
@param src2 second input matrix/scalar of the same depth as first input matrix.
@sa min, max, threshold, cmpLE, cmpGE, cmpLS
@sa min, max, threshold, cmpLE, cmpGE, cmpLT
*/
GAPI_EXPORTS GMat cmpGT(const GMat& src1, const GMat& src2);
/** @overload
@@ -908,7 +916,7 @@ Supported input matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1,
@note Function textual ID is "org.opencv.core.pixelwise.compare.cmpGE"
@param src1 first input matrix.
@param src2 second input matrix/scalar of the same depth as first input matrix.
@sa min, max, threshold, cmpLE, cmpGT, cmpLS
@sa min, max, threshold, cmpLE, cmpGT, cmpLT
*/
GAPI_EXPORTS GMat cmpGE(const GMat& src1, const GMat& src2);
/** @overload
@@ -934,7 +942,7 @@ Supported input matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1,
@note Function textual ID is "org.opencv.core.pixelwise.compare.cmpLE"
@param src1 first input matrix.
@param src2 second input matrix/scalar of the same depth as first input matrix.
@sa min, max, threshold, cmpGT, cmpGE, cmpLS
@sa min, max, threshold, cmpGT, cmpGE, cmpLT
*/
GAPI_EXPORTS GMat cmpLE(const GMat& src1, const GMat& src2);
/** @overload
@@ -1012,7 +1020,7 @@ Supported matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1, @ref
*/
GAPI_EXPORTS GMat bitwise_and(const GMat& src1, const GMat& src2);
/** @overload
@note Function textual ID is "org.opencv.core.pixelwise.compare.bitwise_andS"
@note Function textual ID is "org.opencv.core.pixelwise.bitwise_andS"
@param src1 first input matrix.
@param src2 scalar, which will be per-lemenetly conjuncted with elements of src1.
*/
@@ -1036,7 +1044,7 @@ Supported matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1, @ref
*/
GAPI_EXPORTS GMat bitwise_or(const GMat& src1, const GMat& src2);
/** @overload
@note Function textual ID is "org.opencv.core.pixelwise.compare.bitwise_orS"
@note Function textual ID is "org.opencv.core.pixelwise.bitwise_orS"
@param src1 first input matrix.
@param src2 scalar, which will be per-lemenetly disjuncted with elements of src1.
*/
@@ -1061,7 +1069,7 @@ Supported matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1, @ref
*/
GAPI_EXPORTS GMat bitwise_xor(const GMat& src1, const GMat& src2);
/** @overload
@note Function textual ID is "org.opencv.core.pixelwise.compare.bitwise_xorS"
@note Function textual ID is "org.opencv.core.pixelwise.bitwise_xorS"
@param src1 first input matrix.
@param src2 scalar, for which per-lemenet "logical or" operation on elements of src1 will be performed.
*/
@@ -1121,7 +1129,7 @@ Supported input matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1,
@note Function textual ID is "org.opencv.core.matrixop.min"
@param src1 first input matrix.
@param src2 second input matrix of the same size and depth as src1.
@sa max, compareEqual, compareLess, compareLessEqual
@sa max, cmpEQ, cmpLT, cmpLE
*/
GAPI_EXPORTS GMat min(const GMat& src1, const GMat& src2);
@@ -1138,7 +1146,7 @@ Supported matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1, @ref
@note Function textual ID is "org.opencv.core.matrixop.max"
@param src1 first input matrix.
@param src2 second input matrix of the same size and depth as src1.
@sa min, compare, compareEqual, compareGreater, compareGreaterEqual
@sa min, compare, cmpEQ, cmpGT, cmpGE
*/
GAPI_EXPORTS GMat max(const GMat& src1, const GMat& src2);
@@ -1184,10 +1192,23 @@ Supported matrix data types are @ref CV_8UC1, @ref CV_8UC3, @ref CV_16UC1, @ref
@note Function textual ID is "org.opencv.core.matrixop.sum"
@param src input matrix.
@sa min, max
@sa countNonZero, mean, min, max
*/
GAPI_EXPORTS GScalar sum(const GMat& src);
/** @brief Counts non-zero array elements.
The function returns the number of non-zero elements in src :
\f[\sum _{I: \; \texttt{src} (I) \ne0 } 1\f]
Supported matrix data types are @ref CV_8UC1, @ref CV_16UC1, @ref CV_16SC1, @ref CV_32FC1.
@note Function textual ID is "org.opencv.core.matrixop.countNonZero"
@param src input single-channel matrix.
@sa mean, min, max
*/
GAPI_EXPORTS GOpaque<int> countNonZero(const GMat& src);
/** @brief Calculates the weighted sum of two matrices.
The function addWeighted calculates the weighted sum of two matrices as follows:
@@ -1324,7 +1345,7 @@ Output matrix must be of the same size and depth as src.
types.
@param type thresholding type (see the cv::ThresholdTypes).
@sa min, max, cmpGT, cmpLE, cmpGE, cmpLS
@sa min, max, cmpGT, cmpLE, cmpGE, cmpLT
*/
GAPI_EXPORTS GMat threshold(const GMat& src, const GScalar& thresh, const GScalar& maxval, int type);
/** @overload
modules/gapi/include/opencv2/gapi/ocl/goclkernel.hpp
+2 -2
View File
@@ -2,7 +2,7 @@
// 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.
//
// Copyright (C) 2018-2019 Intel Corporation
// Copyright (C) 2018-2020 Intel Corporation
#ifndef OPENCV_GAPI_GOCLKERNEL_HPP
@@ -75,7 +75,7 @@ public:
protected:
detail::VectorRef& outVecRef(int output);
detail::VectorRef& outOpaqueRef(int output);
detail::OpaqueRef& outOpaqueRef(int output);
std::vector<GArg> m_args;
std::unordered_map<std::size_t, GRunArgP> m_results;