Program Listing for File xf_accumulate_squared.hpp
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/*
* 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_ACCUMULATE_SQUARED_HPP_
#define _XF_ACCUMULATE_SQUARED_HPP_
#include "hls_stream.h"
#include "../common/xf_common.hpp"
#ifndef XF_IN_STEP
#define XF_IN_STEP 8
#endif
#ifndef XF_OUT_STEP
#define XF_OUT_STEP 16
#endif
namespace xf {
namespace cv {
template <int SRC_T,
int DST_T,
int ROWS,
int COLS,
int NPC,
int PLANES,
int DEPTH_SRC,
int DEPTH_DST,
int WORDWIDTH_SRC,
int WORDWIDTH_DST,
int TC>
int AcuumulateSquaredKernel(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,
uint16_t height,
uint16_t width) {
ap_uint<13> i, j, k, l;
// clang-format off
#pragma HLS DATAFLOW
// clang-format on
XF_TNAME(DST_T, NPC) pxl_pack_out;
XF_TNAME(SRC_T, NPC) pxl_pack1, pxl_pack2;
RowLoop:
for (i = 0; i < height; i++) {
// clang-format off
#pragma HLS LOOP_FLATTEN off
#pragma HLS LOOP_TRIPCOUNT min=ROWS max=ROWS
// clang-format on
ColLoop:
for (j = 0; j < width; j++) {
// clang-format off
#pragma HLS LOOP_TRIPCOUNT min=TC max=TC
#pragma HLS pipeline
// clang-format on
int y;
pxl_pack1 = (XF_SNAME(WORDWIDTH_SRC))src1.read(i * width + j);
pxl_pack2 = (XF_SNAME(WORDWIDTH_SRC))src2.read(i * width + j);
ProcLoop:
for (k = 0, l = 0; k < ((8 << XF_BITSHIFT(NPC)) * PLANES); k += XF_IN_STEP, l += XF_OUT_STEP) {
// clang-format off
#pragma HLS UNROLL
// clang-format on
XF_CTUNAME(SRC_T, NPC) pxl1 = pxl_pack1.range(k + 7, k);
XF_CTUNAME(SRC_T, NPC) pxl2 = pxl_pack2.range(k + 7, k);
XF_CTUNAME(DST_T, NPC) t = (pxl1 * pxl1);
pxl_pack_out.range(l + XF_OUT_STEP - 1, l) = t + pxl2;
}
dst.write(i * width + j, (XF_SNAME(WORDWIDTH_DST))pxl_pack_out);
}
}
return 0;
}
template <int SRC_T, int DST_T, int ROWS, int COLS, int NPC = 1>
void accumulateSquare(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) {
#ifndef __SYNTHESIS__
assert(((SRC_T == XF_8UC1) || (SRC_T == XF_8UC3)) &&
"Input TYPE must be XF_8UC1 for 1-channel and XF_8UC3 for 3-channel image");
assert(((DST_T == XF_16UC1) || (DST_T == XF_16UC3)) &&
"Output TYPE must be XF_16UC1 for 1-channel and XF_16UC3 for 3-channel image");
assert(((src1.rows == src2.rows) && (src1.cols == src2.cols)) && "Both input images should have same size");
assert(((src1.rows == dst.rows) && (src1.cols == dst.cols)) && "Input and output image should be of same size");
assert(((src1.rows <= ROWS) && (src1.cols <= COLS)) && "ROWS and COLS should be greater than input image");
assert(((NPC == XF_NPPC1) || (NPC == XF_NPPC8)) && "NPC must be XF_NPPC1, XF_NPPC8 ");
#endif
short width = src1.cols >> XF_BITSHIFT(NPC);
// clang-format off
#pragma HLS INLINE OFF
// clang-format on
AcuumulateSquaredKernel<SRC_T, DST_T, ROWS, COLS, NPC, XF_CHANNELS(SRC_T, NPC), XF_DEPTH(SRC_T, NPC),
XF_DEPTH(DST_T, NPC), XF_WORDWIDTH(SRC_T, NPC), XF_WORDWIDTH(DST_T, NPC),
(COLS >> XF_BITSHIFT(NPC))>(src1, src2, dst, src1.rows, width);
}
} // namespace cv
} // namespace xf
#endif //_XF_ACCUMULATE_SQUARED_HPP_