.. _program_listing_file__tmp_ws_src_vitis_common_include_imgproc_xf_sum.hpp: Program Listing for File xf_sum.hpp =================================== |exhale_lsh| :ref:`Return to documentation for file ` (``/tmp/ws/src/vitis_common/include/imgproc/xf_sum.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_ACCUMULATE_WEIGHTED_HPP_ #define _XF_ACCUMULATE_WEIGHTED_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 sumKernel(xf::cv::Mat& src1, xf::cv::Scalar& scl, uint16_t height, uint16_t width) { ap_uint<13> i, j, k, l, c; ap_uint<64> internal_sum[PLANES]; for (int i = 0; i < PLANES; i++) { // clang-format off #pragma HLS unroll // clang-format on internal_sum[i] = 0; } int STEP = XF_PIXELDEPTH(DEPTH_SRC) / PLANES; XF_SNAME(WORDWIDTH_SRC) pxl_pack1, pxl_pack2; RowLoop: for (i = 0; i < height; i++) { // clang-format off #pragma HLS LOOP_TRIPCOUNT min=ROWS max=ROWS #pragma HLS LOOP_FLATTEN OFF // 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 pxl_pack1 = (XF_SNAME(WORDWIDTH_SRC))(src1.read(i * width + j)); ProcLoop: for (k = 0, c = 0; k < ((8 << XF_BITSHIFT(NPC)) * PLANES); k += XF_IN_STEP, c++) { XF_PTNAME(DEPTH_SRC) pxl1 = pxl_pack1.range(k + 7, k); if (PLANES == 1) { internal_sum[0] = internal_sum[0] + pxl1; } else { internal_sum[c] = internal_sum[c] + pxl1; } } } } if (PLANES == 1) { scl.val[0] = (ap_uint<64>)internal_sum[0]; } else { scl.val[0] = (ap_uint<64>)internal_sum[0]; scl.val[1] = (ap_uint<64>)internal_sum[1]; scl.val[2] = (ap_uint<64>)internal_sum[2]; } return 0; } template void sum(xf::cv::Mat& src1, double sum[XF_CHANNELS(SRC_T, NPC)]) { #ifndef __SYNTHESIS__ assert(((SRC_T == XF_8UC1)) && "Input TYPE must be XF_8UC1 for 1-channel image"); 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); xf::cv::Scalar scl; sumKernel> XF_BITSHIFT(NPC))>(src1, scl, src1.rows, width); for (int i = 0; i < XF_CHANNELS(SRC_T, NPC); i++) { sum[i] = scl.val[i]; } } } // namespace cv } // namespace xf #endif //_XF_SUM_HPP_