Add opencl svm.

modules/ocl/include/opencv2/ocl/ocl.hpp

@@ -1900,6 +1900,26 @@ namespace cv
         private:
             oclMat samples_ocl;
         };
+        /*!***************  SVM  *************!*/
+        class CV_EXPORTS CvSVM_OCL : public CvSVM
+        {
+        public:
+            CvSVM_OCL();
+
+            CvSVM_OCL(const cv::Mat& trainData, const cv::Mat& responses,
+                      const cv::Mat& varIdx=cv::Mat(), const cv::Mat& sampleIdx=cv::Mat(),
+                      CvSVMParams params=CvSVMParams());
+            CV_WRAP float predict( const int row_index, Mat& src, bool returnDFVal=false ) const;
+            CV_WRAP void predict( cv::InputArray samples, cv::OutputArray results ) const;
+            CV_WRAP float predict( const cv::Mat& sample, bool returnDFVal=false ) const;
+            float predict( const CvMat* samples, CV_OUT CvMat* results ) const;
+
+        protected:
+            float predict( const int row_index, int row_len, Mat& src, bool returnDFVal=false ) const;
+            void create_kernel();
+            void create_solver();
+        };
+        /*!***************  END  *************!*/
     }
 }
 #if defined _MSC_VER && _MSC_VER >= 1200

modules/ocl/src/opencl/svm.cl

+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2010-2013, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+//    Erping Pang, erping@multicorewareinc.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 oclMaterials 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.
+//
+//
+#if defined (DOUBLE_SUPPORT)
+#ifdef cl_khr_fp64
+#pragma OPENCL EXTENSION cl_khr_fp64:enable
+#elif defined (cl_amd_fp64)
+#pragma OPENCL EXTENSION cl_amd_fp64:enable
+#endif
+#define TYPE double
+#else
+#define TYPE float
+#endif
+#if defined ADDEXP
+#define EXP(X) exp(X)
+#else
+#define EXP(X) X
+#endif
+#if defined ADDPOW
+#define POW(X,Y) pow(fabs(X),(Y))
+#else
+#define POW(X,Y) X
+#endif
+#define FLT_MAX   3.402823466e+38F
+#define MAX_VAL   (FLT_MAX*1e-3)
+
+__kernel void svm_linear(__global float* src, int src_step, __global float* src2, int src2_step, __global TYPE* dst, int dst_step, int src_rows, int src2_cols,
+                         int width, TYPE alpha, TYPE beta)
+{
+    const int  col = get_global_id(0);
+    const int  row = get_global_id(1);
+
+    if(row < src_rows && col < src2_cols)
+    {
+        int t = 0;
+        TYPE temp = 0.0;
+        for(t = 0; t < width - 16; t += 16)
+        {
+            float16 t0 = vload16(0, src + row * src_step + t);
+            float16 t1 = vload16(0, src2 + col * src2_step + t);
+            t0 *= t1;
+            temp += t0.s0 + t0.s1 + t0.s2 + t0.s3 + t0.s4 + t0.s5 + t0.s6 + t0.s7 +
+                    t0.s8 + t0.s9 + t0.sa + t0.sb + t0.sc + t0.sd + t0.se + t0.sf;
+        }
+        for(; t < width; t++)
+        {
+            temp += src[row * src_step + t] * src2[col * src2_step + t];
+        }
+
+        TYPE temp1 = (TYPE) (temp * alpha + beta);
+
+        if( temp1 > MAX_VAL )
+        {
+            dst[row * dst_step + col] = MAX_VAL;
+        }
+        else
+        {
+            dst[row * dst_step + col] = temp1;
+        }
+
+    }
+
+}
+__kernel void svm_sigmod(__global float* src, int src_step, __global float* src2, int src2_step, __global TYPE* dst, int dst_step, int src_rows, int src2_cols,
+                         int width, TYPE alpha, TYPE beta)
+{
+    const int  col = get_global_id(0);
+    const int  row = get_global_id(1);
+
+    if(row < src_rows && col < src2_cols)
+    {
+        int t = 0;
+        TYPE temp = 0.0;
+        for(t = 0; t < width - 16; t += 16)
+        {
+            float16 t0 = vload16(0, src + row * src_step + t);
+            float16 t1 = vload16(0, src2 + col * src2_step + t);
+            t0 *= t1;
+            temp += t0.s0 + t0.s1 + t0.s2 + t0.s3 + t0.s4 + t0.s5 + t0.s6 + t0.s7 +
+                    t0.s8 + t0.s9 + t0.sa + t0.sb + t0.sc + t0.sd + t0.se + t0.sf;
+        }
+        for(; t < width; t++)
+        {
+            temp += src[row * src_step + t] * src2[col * src2_step + t];
+        }
+        TYPE tp = (TYPE) (temp * alpha + beta);
+        TYPE e = exp(-fabs(tp));
+        TYPE temp1;
+        if(tp > 0)
+        {
+            temp1 = (TYPE)((1. - e) / (1. + e));
+        }
+        else
+        {
+            temp1 = (TYPE)((e - 1.) / (e + 1.));
+        }
+
+        if( temp1 > MAX_VAL )
+        {
+            dst[row * dst_step + col] = MAX_VAL;
+        }
+        else
+        {
+            dst[row * dst_step + col] = temp1;
+        }
+    }
+
+}
+__kernel void svm_poly(__global float* src, int src_step, __global float* src2, int src2_step, __global TYPE* dst, int dst_step, int src_rows, int src2_cols,
+                       int width, TYPE alpha, TYPE beta, TYPE degree)
+{
+    const int  col = get_global_id(0);
+    const int  row = get_global_id(1);
+
+    if(row < src_rows && col < src2_cols)
+    {
+        int t = 0;
+        TYPE temp = 0.0;
+        for(t = 0; t < width - 16; t += 16)
+        {
+            float16 t0 = vload16(0, src + row * src_step + t);
+            float16 t1 = vload16(0, src2 + col * src2_step + t);
+            t0 *= t1;
+            temp += t0.s0 + t0.s1 + t0.s2 + t0.s3 + t0.s4 + t0.s5 + t0.s6 + t0.s7 +
+                    t0.s8 + t0.s9 + t0.sa + t0.sb + t0.sc + t0.sd + t0.se + t0.sf;
+        }
+        for(; t < width; t++)
+        {
+            temp += src[row * src_step + t] * src2[col * src2_step + t];
+        }
+        TYPE temp1 = (TYPE)(POW((temp * alpha + beta), degree));
+
+        if( temp1 > MAX_VAL )
+        {
+            dst[row * dst_step + col] = MAX_VAL;
+        }
+        else
+        {
+            dst[row * dst_step + col] = temp1;
+        }
+    }
+
+}
+__kernel void svm_rbf(__global float* src, int src_step, __global float* src2, int src2_step, __global TYPE* dst, int dst_step, int src_rows, int src2_cols,
+                      int width, TYPE gamma)
+{
+    const int  col = get_global_id(0);
+    const int  row = get_global_id(1);
+
+    if(row < src_rows && col < src2_cols)
+    {
+        int t = 0;
+        TYPE temp = 0.0;
+        for(t = 0; t < width - 16; t += 16)
+        {
+            float16 t0 = vload16(0, src + row * src_step + t);
+            float16 t1 = vload16(0, src2 + col * src2_step + t);
+            t0 = (t0 - t1) * (t0 - t1);
+            temp += t0.s0 + t0.s1 + t0.s2 + t0.s3 + t0.s4 + t0.s5 + t0.s6 + t0.s7 +
+                    t0.s8 + t0.s9 + t0.sa + t0.sb + t0.sc + t0.sd + t0.se + t0.sf;
+        }
+        for(; t < width; t++)
+        {
+            temp += (src[row * src_step + t] - src2[col * src2_step + t]) * (src[row * src_step + t] - src2[col * src2_step + t]);
+        }
+        TYPE temp1 = EXP((TYPE)(temp * gamma));
+
+        if( temp1 > MAX_VAL )
+        {
+            dst[row * dst_step + col] = MAX_VAL;
+        }
+        else
+        {
+            dst[row * dst_step + col] = temp1;
+        }
+    }
+}
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