mirror of
https://github.com/opencv/opencv.git
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Liutong HAN
6eaaaa410e
[RVV HAL] Add copyright and replace '#pragma once'. #27056 Add copyright and in RVV HAL, since other companies or teams may join the development and add their copyright. And the '#pragma once' are replaced. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
232 lines
10 KiB
C++
232 lines
10 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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// Copyright (C) 2025, Institute of Software, Chinese Academy of Sciences.
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#ifndef OPENCV_HAL_RVV_MEANSTDDEV_HPP_INCLUDED
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#define OPENCV_HAL_RVV_MEANSTDDEV_HPP_INCLUDED
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#include <riscv_vector.h>
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namespace cv { namespace cv_hal_rvv {
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#undef cv_hal_meanStdDev
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#define cv_hal_meanStdDev cv::cv_hal_rvv::meanStdDev
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inline int meanStdDev_8UC1(const uchar* src_data, size_t src_step, int width, int height,
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double* mean_val, double* stddev_val, uchar* mask, size_t mask_step);
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inline int meanStdDev_8UC4(const uchar* src_data, size_t src_step, int width, int height,
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double* mean_val, double* stddev_val, uchar* mask, size_t mask_step);
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inline int meanStdDev_32FC1(const uchar* src_data, size_t src_step, int width, int height,
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double* mean_val, double* stddev_val, uchar* mask, size_t mask_step);
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inline int meanStdDev(const uchar* src_data, size_t src_step, int width, int height,
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int src_type, double* mean_val, double* stddev_val, uchar* mask, size_t mask_step) {
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switch (src_type)
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{
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case CV_8UC1:
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return meanStdDev_8UC1(src_data, src_step, width, height, mean_val, stddev_val, mask, mask_step);
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case CV_8UC4:
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return meanStdDev_8UC4(src_data, src_step, width, height, mean_val, stddev_val, mask, mask_step);
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case CV_32FC1:
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return meanStdDev_32FC1(src_data, src_step, width, height, mean_val, stddev_val, mask, mask_step);
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default:
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return CV_HAL_ERROR_NOT_IMPLEMENTED;
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}
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}
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inline int meanStdDev_8UC1(const uchar* src_data, size_t src_step, int width, int height,
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double* mean_val, double* stddev_val, uchar* mask, size_t mask_step) {
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int nz = 0;
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int vlmax = __riscv_vsetvlmax_e64m8();
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vuint64m8_t vec_sum = __riscv_vmv_v_x_u64m8(0, vlmax);
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vuint64m8_t vec_sqsum = __riscv_vmv_v_x_u64m8(0, vlmax);
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if (mask) {
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for (int i = 0; i < height; ++i) {
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const uchar* src_row = src_data + i * src_step;
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const uchar* mask_row = mask + i * mask_step;
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int j = 0, vl;
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for ( ; j < width; j += vl) {
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vl = __riscv_vsetvl_e8m1(width - j);
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auto vec_pixel_u8 = __riscv_vle8_v_u8m1(src_row + j, vl);
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auto vmask_u8 = __riscv_vle8_v_u8m1(mask_row+j, vl);
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auto vec_pixel = __riscv_vzext_vf4(vec_pixel_u8, vl);
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auto vmask = __riscv_vmseq_vx_u8m1_b8(vmask_u8, 1, vl);
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vec_sum = __riscv_vwaddu_wv_u64m8_tumu(vmask, vec_sum, vec_sum, vec_pixel, vl);
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vec_sqsum = __riscv_vwmaccu_vv_u64m8_tumu(vmask, vec_sqsum, vec_pixel, vec_pixel, vl);
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nz += __riscv_vcpop_m_b8(vmask, vl);
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}
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}
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} else {
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for (int i = 0; i < height; i++) {
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const uchar* src_row = src_data + i * src_step;
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int j = 0, vl;
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for ( ; j < width; j += vl) {
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vl = __riscv_vsetvl_e8m1(width - j);
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auto vec_pixel_u8 = __riscv_vle8_v_u8m1(src_row + j, vl);
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auto vec_pixel = __riscv_vzext_vf4(vec_pixel_u8, vl);
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vec_sum = __riscv_vwaddu_wv_u64m8_tu(vec_sum, vec_sum, vec_pixel, vl);
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vec_sqsum = __riscv_vwmaccu_vv_u64m8_tu(vec_sqsum, vec_pixel, vec_pixel, vl);
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}
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}
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nz = height * width;
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}
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if (nz == 0) {
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if (mean_val) *mean_val = 0.0;
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if (stddev_val) *stddev_val = 0.0;
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return CV_HAL_ERROR_OK;
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}
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auto zero = __riscv_vmv_s_x_u64m1(0, vlmax);
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auto vec_red = __riscv_vmv_v_x_u64m1(0, vlmax);
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auto vec_reddev = __riscv_vmv_v_x_u64m1(0, vlmax);
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vec_red = __riscv_vredsum(vec_sum, zero, vlmax);
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vec_reddev = __riscv_vredsum(vec_sqsum, zero, vlmax);
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double sum = __riscv_vmv_x(vec_red);
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double mean = sum / nz;
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if (mean_val) {
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*mean_val = mean;
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}
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if (stddev_val) {
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double sqsum = __riscv_vmv_x(vec_reddev);
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double variance = std::max((sqsum / nz) - (mean * mean), 0.0);
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double stddev = std::sqrt(variance);
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*stddev_val = stddev;
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}
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return CV_HAL_ERROR_OK;
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}
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inline int meanStdDev_8UC4(const uchar* src_data, size_t src_step, int width, int height,
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double* mean_val, double* stddev_val, uchar* mask, size_t mask_step) {
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int nz = 0;
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int vlmax = __riscv_vsetvlmax_e64m8();
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vuint64m8_t vec_sum = __riscv_vmv_v_x_u64m8(0, vlmax);
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vuint64m8_t vec_sqsum = __riscv_vmv_v_x_u64m8(0, vlmax);
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if (mask) {
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for (int i = 0; i < height; ++i) {
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const uchar* src_row = src_data + i * src_step;
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const uchar* mask_row = mask + i * mask_step;
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int j = 0, jm = 0, vl, vlm;
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for ( ; j < width*4; j += vl, jm += vlm) {
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vl = __riscv_vsetvl_e8m1(width*4 - j);
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vlm = __riscv_vsetvl_e8mf4(width - jm);
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auto vec_pixel_u8 = __riscv_vle8_v_u8m1(src_row + j, vl);
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auto vmask_u8mf4 = __riscv_vle8_v_u8mf4(mask_row + jm, vlm);
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auto vmask_u32 = __riscv_vzext_vf4(vmask_u8mf4, vlm);
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// 0 -> 0000; 1 -> 1111
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vmask_u32 = __riscv_vmul(vmask_u32, 0b00000001000000010000000100000001, vlm);
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auto vmask_u8 = __riscv_vreinterpret_u8m1(vmask_u32);
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auto vec_pixel = __riscv_vzext_vf4(vec_pixel_u8, vl);
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auto vmask = __riscv_vmseq_vx_u8m1_b8(vmask_u8, 1, vl);
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vec_sum = __riscv_vwaddu_wv_u64m8_tumu(vmask, vec_sum, vec_sum, vec_pixel, vl);
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vec_sqsum = __riscv_vwmaccu_vv_u64m8_tumu(vmask, vec_sqsum, vec_pixel, vec_pixel, vl);
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nz += __riscv_vcpop_m_b8(vmask, vl);
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}
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}
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nz /= 4;
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} else {
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for (int i = 0; i < height; i++) {
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const uchar* src_row = src_data + i * src_step;
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int j = 0, vl;
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for ( ; j < width*4; j += vl) {
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vl = __riscv_vsetvl_e8m1(width*4 - j);
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auto vec_pixel_u8 = __riscv_vle8_v_u8m1(src_row + j, vl);
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auto vec_pixel = __riscv_vzext_vf4(vec_pixel_u8, vl);
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vec_sum = __riscv_vwaddu_wv_u64m8_tu(vec_sum, vec_sum, vec_pixel, vl);
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vec_sqsum = __riscv_vwmaccu_vv_u64m8_tu(vec_sqsum, vec_pixel, vec_pixel, vl);
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}
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}
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nz = height * width;
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}
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if (nz == 0) {
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if (mean_val) *mean_val = 0.0;
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if (stddev_val) *stddev_val = 0.0;
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return CV_HAL_ERROR_OK;
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}
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uint64_t s[256], sq[256], sum[4] = {0}, sqsum[4] = {0};
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__riscv_vse64(s, vec_sum, vlmax);
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__riscv_vse64(sq, vec_sqsum, vlmax);
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for (int i = 0; i < vlmax; ++i)
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{
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sum[i % 4] += s[i];
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sqsum[i % 4] += sq[i];
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}
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if (mean_val) {
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mean_val[0] = (double)sum[0] / nz;
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mean_val[1] = (double)sum[1] / nz;
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mean_val[2] = (double)sum[2] / nz;
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mean_val[3] = (double)sum[3] / nz;
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}
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if (stddev_val) {
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stddev_val[0] = std::sqrt(std::max(((double)sqsum[0] / nz) - (mean_val[0] * mean_val[0]), 0.0));
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stddev_val[1] = std::sqrt(std::max(((double)sqsum[1] / nz) - (mean_val[1] * mean_val[1]), 0.0));
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stddev_val[2] = std::sqrt(std::max(((double)sqsum[2] / nz) - (mean_val[2] * mean_val[2]), 0.0));
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stddev_val[3] = std::sqrt(std::max(((double)sqsum[3] / nz) - (mean_val[3] * mean_val[3]), 0.0));
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}
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return CV_HAL_ERROR_OK;
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}
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inline int meanStdDev_32FC1(const uchar* src_data, size_t src_step, int width, int height,
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double* mean_val, double* stddev_val, uchar* mask, size_t mask_step) {
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int nz = 0;
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int vlmax = __riscv_vsetvlmax_e64m4();
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vfloat64m4_t vec_sum = __riscv_vfmv_v_f_f64m4(0, vlmax);
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vfloat64m4_t vec_sqsum = __riscv_vfmv_v_f_f64m4(0, vlmax);
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src_step /= sizeof(float);
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if (mask) {
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for (int i = 0; i < height; ++i) {
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const float* src_row0 = reinterpret_cast<const float*>(src_data) + i * src_step;
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const uchar* mask_row = mask + i * mask_step;
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int j = 0, vl;
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for ( ; j < width; j += vl) {
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vl = __riscv_vsetvl_e32m2(width - j);
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auto vec_pixel = __riscv_vle32_v_f32m2(src_row0 + j, vl);
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auto vmask_u8 = __riscv_vle8_v_u8mf2(mask_row + j, vl);
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auto vmask_u32 = __riscv_vzext_vf4(vmask_u8, vl);
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auto vmask = __riscv_vmseq_vx_u32m2_b16(vmask_u32, 1, vl);
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vec_sum = __riscv_vfwadd_wv_f64m4_tumu(vmask, vec_sum, vec_sum, vec_pixel, vl);
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vec_sqsum = __riscv_vfwmacc_vv_f64m4_tumu(vmask, vec_sqsum, vec_pixel, vec_pixel, vl);
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nz += __riscv_vcpop_m_b16(vmask, vl);
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}
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}
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} else {
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for (int i = 0; i < height; i++) {
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const float* src_row0 = reinterpret_cast<const float*>(src_data) + i * src_step;
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int j = 0, vl;
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for ( ; j < width; j += vl) {
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vl = __riscv_vsetvl_e32m2(width - j);
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auto vec_pixel = __riscv_vle32_v_f32m2(src_row0 + j, vl);
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vec_sum = __riscv_vfwadd_wv_f64m4_tu(vec_sum, vec_sum, vec_pixel, vl);
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vec_sqsum = __riscv_vfwmacc_vv_f64m4_tu(vec_sqsum, vec_pixel, vec_pixel, vl);
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}
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}
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nz = height * width;
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}
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if (nz == 0) {
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if (mean_val) *mean_val = 0.0;
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if (stddev_val) *stddev_val = 0.0;
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return CV_HAL_ERROR_OK;
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}
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auto zero = __riscv_vfmv_v_f_f64m1(0, vlmax);
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auto vec_red = __riscv_vfmv_v_f_f64m1(0, vlmax);
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auto vec_reddev = __riscv_vfmv_v_f_f64m1(0, vlmax);
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vec_red = __riscv_vfredusum(vec_sum, zero, vlmax);
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vec_reddev = __riscv_vfredusum(vec_sqsum, zero, vlmax);
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double sum = __riscv_vfmv_f(vec_red);
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double mean = sum / nz;
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if (mean_val) {
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*mean_val = mean;
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}
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if (stddev_val) {
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double sqsum = __riscv_vfmv_f(vec_reddev);
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double variance = std::max((sqsum / nz) - (mean * mean), 0.0);
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double stddev = std::sqrt(variance);
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*stddev_val = stddev;
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}
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return CV_HAL_ERROR_OK;
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}
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}}
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#endif
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