/* * Copyright (c) 2016-2019 ARM Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #include "helpers.h" #ifndef DATA_TYPE #define DATA_TYPE short #endif /* DATA_TYPE */ #ifndef DATA_TYPE_OUT #define DATA_TYPE_OUT uchar #endif /* DATA_TYPE_OUT */ /** Compute a 1D horizontal convolution of size 3 for 8 bytes assuming the input is made of 1 channel of 1 byte (i.e 8 pixels). * * @param[in] left_pixel Pointer to the left pixel. * @param[in] left_coeff Weight of the left pixel * @param[in] middle_coeff Weight of the middle pixel * @param[in] right_coeff Weight of the right pixel * * @return a short8 containing 8 convoluted values. */ inline VEC_DATA_TYPE(DATA_TYPE, 8) convolution1x3(__global const uchar *left_pixel, const short left_coeff, const short middle_coeff, const short right_coeff) { uchar16 temp = vload16(0, left_pixel); VEC_DATA_TYPE(DATA_TYPE, 8) left = CONVERT(temp.s01234567, VEC_DATA_TYPE(DATA_TYPE, 8)); VEC_DATA_TYPE(DATA_TYPE, 8) middle = CONVERT(temp.s12345678, VEC_DATA_TYPE(DATA_TYPE, 8)); VEC_DATA_TYPE(DATA_TYPE, 8) right = CONVERT(temp.s23456789, VEC_DATA_TYPE(DATA_TYPE, 8)); return left * (VEC_DATA_TYPE(DATA_TYPE, 8))left_coeff + middle * (VEC_DATA_TYPE(DATA_TYPE, 8))middle_coeff + right * (VEC_DATA_TYPE(DATA_TYPE, 8))right_coeff; } /** Apply a 3x3 convolution matrix to a single channel U8 input image and return the result. * * Convolution matrix layout: * * [ mat0, mat1, mat2 ]\n * [ mat3, mat4, mat5 ]\n * [ mat6, mat7, mat8 ]\n * * @param[in] src A pointer to source Image structure * @param[in] mat0 Coefficient from the convolution matrix * @param[in] mat1 Coefficient from the convolution matrix * @param[in] mat2 Coefficient from the convolution matrix * @param[in] mat3 Coefficient from the convolution matrix * @param[in] mat4 Coefficient from the convolution matrix * @param[in] mat5 Coefficient from the convolution matrix * @param[in] mat6 Coefficient from the convolution matrix * @param[in] mat7 Coefficient from the convolution matrix * @param[in] mat8 Coefficient from the convolution matrix * @param[in] scale Convolution matrix scale (Sum of the coefficients, or 1 if the sum is 0) * * @return a short8 containing 8 convoluted and scaled values. */ inline VEC_DATA_TYPE(DATA_TYPE, 8) convolution3x3( Image *src, const short mat0, const short mat1, const short mat2, const short mat3, const short mat4, const short mat5, const short mat6, const short mat7, const short mat8, uint scale) { // Output pixels VEC_DATA_TYPE(DATA_TYPE, 8) pixels; // Row 0 pixels = convolution1x3(offset(src, -1, -1), mat0, mat1, mat2); // Row pixels += convolution1x3(offset(src, -1, 0), mat3, mat4, mat5); // Row 2 pixels += convolution1x3(offset(src, -1, 1), mat6, mat7, mat8); // Divide by the scale return pixels / (VEC_DATA_TYPE(DATA_TYPE, 8))scale; } #ifndef DYNAMIC_MATRIX_CONVOLUTION /** Apply a 3x3 static convolution matrix to a single channel U8 input image and output a single channel image. * * @attention The matrix coefficients(MAT0, MAT1, ... MAT8, SCALE), DATA_TYPE, and DATA_TYPE_OUT need to be passed at compile time.\n * e.g. -DMAT0=1 -DMAT2=2, ...-DMAT8=8, -DSCALE=1, -DDATA_TYPE=int, -DDATA_TYPE_OUT=int * * @param[in] src_ptr Pointer to the source image * @param[in] src_stride_x Stride of the source image in X dimension (in bytes) * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] src_stride_y Stride of the source image in Y dimension (in bytes) * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source image * @param[out] dst_ptr Pointer to the destination image. Supported data types: U8, S16 * @param[in] dst_stride_x Stride of the destination image in X dimension (in bytes) * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] dst_stride_y Stride of the destination image in Y dimension (in bytes) * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination image */ __kernel void convolution3x3_static( IMAGE_DECLARATION(src), IMAGE_DECLARATION(dst)) { Image src = CONVERT_TO_IMAGE_STRUCT(src); Image dst = CONVERT_TO_IMAGE_STRUCT(dst); VEC_DATA_TYPE(DATA_TYPE, 8) pixels = convolution3x3(&src, MAT0, MAT1, MAT2, MAT3, MAT4, MAT5, MAT6, MAT7, MAT8, SCALE); // Store the result as is in dst vstore8(CONVERT_SAT(pixels, VEC_DATA_TYPE(DATA_TYPE_OUT, 8)), 0, (__global DATA_TYPE_OUT *)dst.ptr); } #endif // DYNAMIC_MATRIX_CONVOLUTION