1
0
mirror of https://github.com/FFmpeg/FFmpeg.git synced 2024-12-12 19:18:44 +02:00
FFmpeg/libavfilter/convolution.h
Stone Chen ef917950f0 avfilter/vf_convolution: add float user_rdiv[4] to allow user options to apply correctly
Previously to support dynamic reconfigurations of the matrix string (e.g. 0m),
the rdiv values would always be cleared to 0.f, causing the rdiv to be
recalculated based on the new filter. This however had the side effect of
always ignoring user specified rdiv values.

Instead float user_rdiv[0] is added to ConvolutionContext which will store the
user specified rdiv values. Then the original rdiv array will store either the
user_rdiv or the automatically calculated 1/sum.

This fixes trac ticket #10294, #10867.

Signed-off-by: Stone Chen <chen.stonechen@gmail.com>
Signed-off-by: Marton Balint <cus@passwd.hu>
2024-02-25 10:49:37 +01:00

140 lines
4.6 KiB
C

/*
* Copyright (c) 2012-2013 Oka Motofumi (chikuzen.mo at gmail dot com)
* Copyright (c) 2015 Paul B Mahol
*
* This file is part of FFmpeg.
*
* FFmpeg is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* FFmpeg is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with FFmpeg; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
*/
#ifndef AVFILTER_CONVOLUTION_H
#define AVFILTER_CONVOLUTION_H
#include "avfilter.h"
#include "libavutil/intreadwrite.h"
enum MatrixMode {
MATRIX_SQUARE,
MATRIX_ROW,
MATRIX_COLUMN,
MATRIX_NBMODES,
};
typedef struct ConvolutionContext {
const AVClass *class;
char *matrix_str[4];
float user_rdiv[4];
float bias[4];
int mode[4];
float scale;
float delta;
int planes;
float rdiv[4];
int size[4];
int depth;
int max;
int bpc;
int nb_planes;
int nb_threads;
int planewidth[4];
int planeheight[4];
int matrix[4][49];
int matrix_length[4];
int copy[4];
void (*setup[4])(int radius, const uint8_t *c[], const uint8_t *src, int stride,
int x, int width, int y, int height, int bpc);
void (*filter[4])(uint8_t *dst, int width,
float rdiv, float bias, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride, int size);
} ConvolutionContext;
void ff_convolution_init_x86(ConvolutionContext *s);
void ff_sobel_init_x86(ConvolutionContext *s, int depth, int nb_planes);
static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride,
int x, int w, int y, int h, int bpc)
{
int i;
for (i = 0; i < 9; i++) {
int xoff = FFABS(x + ((i % 3) - 1));
int yoff = FFABS(y + (i / 3) - 1);
xoff = xoff >= w ? 2 * w - 1 - xoff : xoff;
yoff = yoff >= h ? 2 * h - 1 - yoff : yoff;
c[i] = src + xoff * bpc + yoff * stride;
}
}
static void filter_sobel(uint8_t *dst, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride, int size)
{
const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
const uint8_t *c3 = c[3], *c5 = c[5];
const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
int x;
for (x = 0; x < width; x++) {
float suma = c0[x] * -1 + c1[x] * -2 + c2[x] * -1 +
c6[x] * 1 + c7[x] * 2 + c8[x] * 1;
float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -2 +
c5[x] * 2 + c6[x] * -1 + c8[x] * 1;
dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta);
}
}
static void filter16_sobel(uint8_t *dstp, int width,
float scale, float delta, const int *const matrix,
const uint8_t *c[], int peak, int radius,
int dstride, int stride, int size)
{
uint16_t *dst = (uint16_t *)dstp;
int x;
for (x = 0; x < width; x++) {
float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -2 + AV_RN16A(&c[2][2 * x]) * -1 +
AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 2 + AV_RN16A(&c[8][2 * x]) * 1;
float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -2 +
AV_RN16A(&c[5][2 * x]) * 2 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1;
dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak);
}
}
static av_unused void ff_sobel_init(ConvolutionContext *s, int depth, int nb_planes)
{
for (int i = 0; i < 4; i++) {
s->filter[i] = filter_sobel;
s->copy[i] = !((1 << i) & s->planes);
s->size[i] = 3;
s->setup[i] = setup_3x3;
s->rdiv[i] = s->scale;
s->bias[i] = s->delta;
}
if (s->depth > 8)
for (int i = 0; i < 4; i++)
s->filter[i] = filter16_sobel;
#if ARCH_X86_64
ff_sobel_init_x86(s, depth, nb_planes);
#endif
}
#endif