.. _program_listing_file__tmp_ws_src_vitis_common_include_core_xf_magnitude.hpp:

Program Listing for File xf_magnitude.hpp
=========================================

|exhale_lsh| :ref:`Return to documentation for file <file__tmp_ws_src_vitis_common_include_core_xf_magnitude.hpp>` (``/tmp/ws/src/vitis_common/include/core/xf_magnitude.hpp``)

.. |exhale_lsh| unicode:: U+021B0 .. UPWARDS ARROW WITH TIP LEFTWARDS

.. code-block:: cpp

   /*
    * Copyright 2019 Xilinx, Inc.
    *
    * Licensed under the Apache License, Version 2.0 (the "License");
    * you may not use this file except in compliance with the License.
    * You may obtain a copy of the License at
    *
    *     http://www.apache.org/licenses/LICENSE-2.0
    *
    * Unless required by applicable law or agreed to in writing, software
    * distributed under the License is distributed on an "AS IS" BASIS,
    * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    * See the License for the specific language governing permissions and
    * limitations under the License.
    */
   
   #ifndef _XF_MAGNITUDE_HPP_
   #define _XF_MAGNITUDE_HPP_
   
   #ifndef __cplusplus
   #error C++ is needed to include this header
   #endif
   
   typedef unsigned short uint16_t;
   
   #include "hls_stream.h"
   #include "ap_int.h"
   #include "../common/xf_common.hpp"
   #include "../common/xf_utility.hpp"
   #include "core/xf_math.h"
   
   namespace xf {
   namespace cv {
   
   template <int SRC_T,
             int DST_T,
             int ROWS,
             int COLS,
             int DEPTH_SRC,
             int DEPTH_DST,
             int NPC,
             int WORDWIDTH_SRC,
             int WORDWIDTH_DST,
             int COLS_TRIP>
   void xFMagnitudeKernel(xf::cv::Mat<SRC_T, ROWS, COLS, NPC>& _src1,
                          xf::cv::Mat<SRC_T, ROWS, COLS, NPC>& _src2,
                          xf::cv::Mat<DST_T, ROWS, COLS, NPC>& _dst_mat,
                          int _norm_type,
                          uint16_t& imgheight,
                          uint16_t& imgwidth) {
       XF_SNAME(WORDWIDTH_SRC) val_src1, val_src2;
       XF_SNAME(WORDWIDTH_DST) val_dst;
   
       int tempgx, tempgy, result_temp = 0;
       int16_t p, q;
       int16_t result;
   
   rowLoop:
       for (int i = 0; i < (imgheight); i++) {
   // clang-format off
           #pragma HLS LOOP_TRIPCOUNT min=ROWS max=ROWS
           #pragma HLS LOOP_FLATTEN off
       // clang-format on
   
       colLoop:
           for (int j = 0; j < (imgwidth); j++) {
   // clang-format off
               #pragma HLS LOOP_TRIPCOUNT min=COLS_TRIP max=COLS_TRIP
               #pragma HLS pipeline
               // clang-format on
   
               val_src1 = (XF_SNAME(WORDWIDTH_SRC))(_src1.read(i * imgwidth + j));
               val_src2 = (XF_SNAME(WORDWIDTH_SRC))(_src2.read(i * imgwidth + j));
   
               int proc_loop = XF_WORDDEPTH(WORDWIDTH_DST), step = XF_PIXELDEPTH(DEPTH_DST);
   
           procLoop:
               for (int k = 0; k < proc_loop; k += step) {
   // clang-format off
                   #pragma HLS unroll
                   // clang-format on
   
                   p = val_src1.range(k + (step - 1), k); // Get bits from certain range of positions.
                   q = val_src2.range(k + (step - 1), k); // Get bits from certain range of positions.
                   p = __ABS(p);
                   q = __ABS(q);
   
                   if (_norm_type == XF_L1NORM) {
                       int16_t tmp = p + q;
                       result = tmp;
                   } else if (_norm_type == XF_L2NORM) {
                       tempgx = p * p;
                       tempgy = q * q;
                       result_temp = tempgx + tempgy;
                       int tmp1 = xf::cv::Sqrt(result_temp); // Square root of the gradient images
                       result = (int16_t)tmp1;
                   }
                   val_dst.range(k + (step - 1), k) = result;
               }
               _dst_mat.write(i * imgwidth + j, (val_dst)); // writing into the output stream
           }
       }
   }
   
   template <int NORM_TYPE, int SRC_T, int DST_T, int ROWS, int COLS, int NPC>
   void magnitude(xf::cv::Mat<SRC_T, ROWS, COLS, NPC>& _src_matx,
                  xf::cv::Mat<SRC_T, ROWS, COLS, NPC>& _src_maty,
                  xf::cv::Mat<DST_T, ROWS, COLS, NPC>& _dst_mat) {
   #ifndef __SYNTHESIS__
       assert(((_src_matx.rows <= ROWS) && (_src_matx.cols <= COLS)) &&
              "ROWS and COLS should be greater than input image");
       assert(((_src_maty.rows <= ROWS) && (_src_maty.cols <= COLS)) &&
              "ROWS and COLS should be greater than input image");
       assert(((_src_matx.rows == _src_maty.rows) && (_src_matx.cols == _src_maty.cols)) &&
              "Both input images should have same size");
       assert(((_src_matx.rows == _dst_mat.rows) && (_src_matx.cols == _dst_mat.cols)) &&
              "Input and output image should be of same size");
       assert(((NPC == XF_NPPC1) || (NPC == XF_NPPC8)) && "NPC must be XF_NPPC1, XF_NPPC8 ");
   #endif
   
   // clang-format off
       #pragma HLS inline
       // clang-format on
   
       uint16_t imgwidth = _src_matx.cols >> XF_BITSHIFT(NPC);
       uint16_t height = _src_matx.rows;
   
       xFMagnitudeKernel<SRC_T, DST_T, ROWS, COLS, XF_DEPTH(SRC_T, NPC), XF_DEPTH(DST_T, NPC), NPC,
                         XF_WORDWIDTH(SRC_T, NPC), XF_WORDWIDTH(DST_T, NPC), (COLS >> XF_BITSHIFT(NPC))>(
           _src_matx, _src_maty, _dst_mat, NORM_TYPE, height, imgwidth);
   }
   } // namespace cv
   } // namespace xf
   
   #endif