added cv::LUT to T-API

modules/core/src/convert.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "precomp.hpp"
+#include "opencl_kernels.hpp"
 
 namespace cv
 {
@@ -1209,16 +1210,45 @@ static LUTFunc lutTab[] =
 
 }
 
+namespace cv {
+
+static bool ocl_LUT(InputArray _src, InputArray _lut, OutputArray _dst)
+{
+    int dcn = _dst.channels(), lcn = _lut.channels(), dtype = _dst.type();
+
+    if (_src.dims() > 2)
+        return false;
+
+    UMat src = _src.getUMat(), lut = _lut.getUMat();
+    _dst.create(src.size(), dtype);
+    UMat dst = _dst.getUMat();
+
+    ocl::Kernel k("LUT", ocl::core::lut_oclsrc,
+                  format("-D dcn=%d -D lcn=%d -D srcT=%s -D dstT=%s", dcn, lcn,
+                         ocl::typeToStr(src.depth()), ocl::typeToStr(dst.depth())));
+    k.args(ocl::KernelArg::ReadOnlyNoSize(src), ocl::KernelArg::ReadOnlyNoSize(lut),
+           ocl::KernelArg::WriteOnly(dst));
+
+    size_t globalSize[2] = { dst.cols, dst.rows };
+    return k.run(2, globalSize, NULL, false);
+}
+
+} // cv
+
 void cv::LUT( InputArray _src, InputArray _lut, OutputArray _dst )
 {
-    Mat src = _src.getMat(), lut = _lut.getMat();
-    int cn = src.channels();
-    int lutcn = lut.channels();
+    int cn = _src.channels(), depth = _src.depth();
+    int lutcn = _lut.channels();
 
     CV_Assert( (lutcn == cn || lutcn == 1) &&
-        lut.total() == 256 && lut.isContinuous() &&
-        (src.depth() == CV_8U || src.depth() == CV_8S) );
-    _dst.create( src.dims, src.size, CV_MAKETYPE(lut.depth(), cn));
+        _lut.total() == 256 && _lut.isContinuous() &&
+        (depth == CV_8U || depth == CV_8S) );
+
+    if (ocl::useOpenCL() && _dst.isUMat() && ocl_LUT(_src, _lut, _dst))
+        return;
+
+    Mat src = _src.getMat(), lut = _lut.getMat();
+    _dst.create(src.dims, src.size, CV_MAKETYPE(_lut.depth(), cn));
     Mat dst = _dst.getMat();
 
     LUTFunc func = lutTab[lut.depth()];

modules/core/src/opencl/lut.cl

+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//    Niko Li, newlife20080214@gmail.com
+//    Rock Li, Rock.li@amd.com
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors as is and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//
+
+#ifdef DOUBLE_SUPPORT
+#ifdef cl_amd_fp64
+#pragma OPENCL EXTENSION cl_amd_fp64:enable
+#elif defined (cl_khr_fp64)
+#pragma OPENCL EXTENSION cl_khr_fp64:enable
+#endif
+#endif
+
+__kernel void LUT(__global const uchar * srcptr, int src_step, int src_offset,
+                  __global const uchar * lutptr, int lut_step, int lut_offset,
+                  __global uchar * dstptr, int dst_step, int dst_offset, int rows, int cols)
+{
+    int x = get_global_id(0);
+    int y = get_global_id(1);
+
+    if (x < cols && y < rows)
+    {
+        int src_index = mad24(y, src_step, src_offset + x * (int)sizeof(srcT) * dcn);
+        int dst_index = mad24(y, dst_step, dst_offset + x * (int)sizeof(dstT) * dcn);
+
+        __global const srcT * src = (__global const srcT *)(srcptr + src_index);
+        __global const dstT * lut = (__global const dstT *)(lutptr + lut_offset);
+        __global dstT * dst = (__global dstT *)(dstptr + dst_index);
+
+#if lcn == 1
+        #pragma unroll
+        for (int cn = 0; cn < dcn; ++cn)
+            dst[cn] = lut[src[cn]];
+#else
+        #pragma unroll
+        for (int cn = 0; cn < dcn; ++cn)
+            dst[cn] = lut[src[cn] * dcn + cn];
+#endif
+    }
+}

modules/core/test/ocl/test_arithm.cpp

@@ -47,6 +47,69 @@
 namespace cvtest {
 namespace ocl {
 
+//////////////////////////////// LUT /////////////////////////////////////////////////
+
+PARAM_TEST_CASE(Lut, MatDepth, MatDepth, Channels, bool, bool)
+{
+    int src_depth, lut_depth;
+    int cn;
+    bool use_roi, same_cn;
+
+    TEST_DECLARE_INPUT_PARAMETER(src)
+    TEST_DECLARE_INPUT_PARAMETER(lut)
+    TEST_DECLARE_OUTPUT_PARAMETER(dst)
+
+    virtual void SetUp()
+    {
+        src_depth = GET_PARAM(0);
+        lut_depth = GET_PARAM(1);
+        cn = GET_PARAM(2);
+        same_cn = GET_PARAM(3);
+        use_roi = GET_PARAM(4);
+    }
+
+    void generateTestData()
+    {
+        const int src_type = CV_MAKE_TYPE(src_depth, cn);
+        const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1);
+        const int dst_type = CV_MAKE_TYPE(lut_depth, cn);
+
+        Size roiSize = randomSize(1, MAX_VALUE);
+        Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(src, src_roi, roiSize, srcBorder, src_type, 0, 256);
+
+        Size lutRoiSize = Size(256, 1);
+        Border lutBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(lut, lut_roi, lutRoiSize, lutBorder, lut_type, 5, 16);
+
+        Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
+        randomSubMat(dst, dst_roi, roiSize, dstBorder, dst_type, 5, 16);
+
+        UMAT_UPLOAD_INPUT_PARAMETER(src)
+        UMAT_UPLOAD_INPUT_PARAMETER(lut)
+        UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+    }
+
+    void Near(double threshold = 0.)
+    {
+        EXPECT_MAT_NEAR(dst, udst, threshold);
+        EXPECT_MAT_NEAR(dst_roi, udst_roi, threshold);
+    }
+};
+
+OCL_TEST_P(Lut, Mat)
+{
+    for (int j = 0; j < test_loop_times; j++)
+    {
+        generateTestData();
+
+        OCL_OFF(cv::LUT(src_roi, lut_roi, dst_roi));
+        OCL_ON(cv::LUT(usrc_roi, ulut_roi, udst_roi));
+
+        Near();
+    }
+}
+
 ///////////////////////// ArithmTestBase ///////////////////////////
 
 PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool)
@@ -57,11 +120,11 @@ PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool)
     cv::Scalar val;
 
     // declare Mat + UMat mirrors
-    TEST_DECLARE_INPUT_PARATEMER(src1)
-    TEST_DECLARE_INPUT_PARATEMER(src2)
-    TEST_DECLARE_INPUT_PARATEMER(mask)
-    TEST_DECLARE_OUTPUT_PARATEMER(dst1)
-    TEST_DECLARE_OUTPUT_PARATEMER(dst2)
+    TEST_DECLARE_INPUT_PARAMETER(src1)
+    TEST_DECLARE_INPUT_PARAMETER(src2)
+    TEST_DECLARE_INPUT_PARAMETER(mask)
+    TEST_DECLARE_OUTPUT_PARAMETER(dst1)
+    TEST_DECLARE_OUTPUT_PARAMETER(dst2)
 
     virtual void SetUp()
     {
@@ -220,6 +283,7 @@ OCL_TEST_P(Subtract, Scalar_Mask)
 
 //////////////////////////////////////// Instantiation /////////////////////////////////////////
 
+OCL_INSTANTIATE_TEST_CASE_P(Arithm, Lut, Combine(::testing::Values(CV_8U, CV_8S), OCL_ALL_DEPTHS, ::testing::Values(1, 2, 3, 4), Bool(), Bool()));
 OCL_INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(OCL_ALL_DEPTHS, ::testing::Values(1, 2, 4), Bool()));
 OCL_INSTANTIATE_TEST_CASE_P(Arithm, Subtract, Combine(OCL_ALL_DEPTHS, ::testing::Values(1, 2, 4), Bool()));
 

modules/imgproc/test/ocl/test_color.cpp

@@ -60,8 +60,8 @@ PARAM_TEST_CASE(CvtColor, MatDepth, bool)
     int depth;
     bool use_roi;
 
-    TEST_DECLARE_INPUT_PARATEMER(src)
-    TEST_DECLARE_OUTPUT_PARATEMER(dst)
+    TEST_DECLARE_INPUT_PARAMETER(src)
+    TEST_DECLARE_OUTPUT_PARAMETER(dst)
 
     virtual void SetUp()
     {

modules/imgproc/test/ocl/test_warp.cpp

@@ -69,8 +69,8 @@ PARAM_TEST_CASE(Resize, MatType, double, double, Interpolation, bool)
     double fx, fy;
     bool useRoi;
 
-    TEST_DECLARE_INPUT_PARATEMER(src)
-    TEST_DECLARE_OUTPUT_PARATEMER(dst)
+    TEST_DECLARE_INPUT_PARAMETER(src)
+    TEST_DECLARE_OUTPUT_PARAMETER(dst)
 
     virtual void SetUp()
     {

modules/ts/include/opencv2/ts/ocl_test.hpp

@@ -258,8 +258,8 @@ struct TestUtils
     }
 };
 
-#define TEST_DECLARE_INPUT_PARATEMER(name) Mat name, name ## _roi; UMat u ## name, u ## name ## _roi;
-#define TEST_DECLARE_OUTPUT_PARATEMER(name) TEST_DECLARE_INPUT_PARATEMER(name)
+#define TEST_DECLARE_INPUT_PARAMETER(name) Mat name, name ## _roi; UMat u ## name, u ## name ## _roi;
+#define TEST_DECLARE_OUTPUT_PARAMETER(name) TEST_DECLARE_INPUT_PARAMETER(name)
 
 #define UMAT_UPLOAD_INPUT_PARAMETER(name) \
 { \