/*
* 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
*/
#include "libavutil/avstring.h"
#include "libavutil/imgutils.h"
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
#include "avfilter.h"
#include "formats.h"
#include "internal.h"
#include "video.h"
typedef struct ConvolutionContext {
const AVClass *class;
char *matrix_str[4];
float rdiv[4];
float bias[4];
float scale;
float delta;
int planes;
int size[4];
int depth;
int bpc;
int bstride;
uint8_t *buffer;
uint8_t **bptrs;
int nb_planes;
int nb_threads;
int planewidth[4];
int planeheight[4];
int matrix[4][25];
int matrix_length[4];
int copy[4];
int (*filter[4])(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs);
} ConvolutionContext;
#define OFFSET(x) offsetof(ConvolutionContext, x)
#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
static const AVOption convolution_options[] = {
{ "0m", "set matrix for 1st plane", OFFSET(matrix_str[0]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
{ "1m", "set matrix for 2nd plane", OFFSET(matrix_str[1]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
{ "2m", "set matrix for 3rd plane", OFFSET(matrix_str[2]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
{ "3m", "set matrix for 4th plane", OFFSET(matrix_str[3]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
{ "0rdiv", "set rdiv for 1st plane", OFFSET(rdiv[0]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
{ "1rdiv", "set rdiv for 2nd plane", OFFSET(rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
{ "2rdiv", "set rdiv for 3rd plane", OFFSET(rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
{ "3rdiv", "set rdiv for 4th plane", OFFSET(rdiv[3]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
{ "0bias", "set bias for 1st plane", OFFSET(bias[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
{ "1bias", "set bias for 2nd plane", OFFSET(bias[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
{ "2bias", "set bias for 3rd plane", OFFSET(bias[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
{ "3bias", "set bias for 4th plane", OFFSET(bias[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
{ NULL }
};
AVFILTER_DEFINE_CLASS(convolution);
static const int same3x3[9] = {0, 0, 0,
0, 1, 0,
0, 0, 0};
static const int same5x5[25] = {0, 0, 0, 0, 0,
0, 0, 0, 0, 0,
0, 0, 1, 0, 0,
0, 0, 0, 0, 0,
0, 0, 0, 0, 0};
static int query_formats(AVFilterContext *ctx)
{
static const enum AVPixelFormat pix_fmts[] = {
AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P,
AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P,
AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P,
AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P,
AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9,
AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10,
AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12,
AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14,
AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16,
AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9,
AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10,
AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16,
AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY9, AV_PIX_FMT_GRAY10, AV_PIX_FMT_GRAY12, AV_PIX_FMT_GRAY16,
AV_PIX_FMT_NONE
};
return ff_set_common_formats(ctx, ff_make_format_list(pix_fmts));
}
static inline void line_copy8(uint8_t *line, const uint8_t *srcp, int width, int mergin)
{
int i;
memcpy(line, srcp, width);
for (i = mergin; i > 0; i--) {
line[-i] = line[i];
line[width - 1 + i] = line[width - 1 - i];
}
}
static inline void line_copy16(uint16_t *line, const uint16_t *srcp, int width, int mergin)
{
int i;
memcpy(line, srcp, width * 2);
for (i = mergin; i > 0; i--) {
line[-i] = line[i];
line[width - 1 + i] = line[width - 1 - i];
}
}
typedef struct ThreadData {
AVFrame *in, *out;
int plane;
} ThreadData;
static int filter16_prewitt(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int peak = (1 << s->depth) - 1;
const int stride = in->linesize[plane] / 2;
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
const float scale = s->scale;
const float delta = s->delta;
uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
uint16_t *p1 = p0 + bstride;
uint16_t *p2 = p1 + bstride;
uint16_t *orig = p0, *end = p2;
int y, x;
line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy16(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy16(p2, src, width, 1);
for (x = 0; x < width; x++) {
int suma = p0[x - 1] * -1 +
p0[x] * -1 +
p0[x + 1] * -1 +
p2[x - 1] * 1 +
p2[x] * 1 +
p2[x + 1] * 1;
int sumb = p0[x - 1] * -1 +
p0[x + 1] * 1 +
p1[x - 1] * -1 +
p1[x + 1] * 1 +
p2[x - 1] * -1 +
p2[x + 1] * 1;
dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane] / 2;
}
return 0;
}
static int filter16_roberts(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int peak = (1 << s->depth) - 1;
const int stride = in->linesize[plane] / 2;
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
const float scale = s->scale;
const float delta = s->delta;
uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
uint16_t *p1 = p0 + bstride;
uint16_t *p2 = p1 + bstride;
uint16_t *orig = p0, *end = p2;
int y, x;
line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy16(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy16(p2, src, width, 1);
for (x = 0; x < width; x++) {
int suma = p0[x - 1] * 1 +
p1[x ] * -1;
int sumb = p0[x ] * 1 +
p1[x - 1] * -1;
dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane] / 2;
}
return 0;
}
static int filter16_sobel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int peak = (1 << s->depth) - 1;
const int stride = in->linesize[plane] / 2;
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
const float scale = s->scale;
const float delta = s->delta;
uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
uint16_t *p1 = p0 + bstride;
uint16_t *p2 = p1 + bstride;
uint16_t *orig = p0, *end = p2;
int y, x;
line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy16(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy16(p2, src, width, 1);
for (x = 0; x < width; x++) {
int suma = p0[x - 1] * -1 +
p0[x] * -2 +
p0[x + 1] * -1 +
p2[x - 1] * 1 +
p2[x] * 2 +
p2[x + 1] * 1;
int sumb = p0[x - 1] * -1 +
p0[x + 1] * 1 +
p1[x - 1] * -2 +
p1[x + 1] * 2 +
p2[x - 1] * -1 +
p2[x + 1] * 1;
dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane] / 2;
}
return 0;
}
static int filter_prewitt(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int stride = in->linesize[plane];
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint8_t *src = in->data[plane] + slice_start * stride;
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
const float scale = s->scale;
const float delta = s->delta;
uint8_t *p0 = s->bptrs[jobnr] + 16;
uint8_t *p1 = p0 + bstride;
uint8_t *p2 = p1 + bstride;
uint8_t *orig = p0, *end = p2;
int y, x;
line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy8(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy8(p2, src, width, 1);
for (x = 0; x < width; x++) {
int suma = p0[x - 1] * -1 +
p0[x] * -1 +
p0[x + 1] * -1 +
p2[x - 1] * 1 +
p2[x] * 1 +
p2[x + 1] * 1;
int sumb = p0[x - 1] * -1 +
p0[x + 1] * 1 +
p1[x - 1] * -1 +
p1[x + 1] * 1 +
p2[x - 1] * -1 +
p2[x + 1] * 1;
dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane];
}
return 0;
}
static int filter_roberts(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int stride = in->linesize[plane];
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint8_t *src = in->data[plane] + slice_start * stride;
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
const float scale = s->scale;
const float delta = s->delta;
uint8_t *p0 = s->bptrs[jobnr] + 16;
uint8_t *p1 = p0 + bstride;
uint8_t *p2 = p1 + bstride;
uint8_t *orig = p0, *end = p2;
int y, x;
line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy8(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy8(p2, src, width, 1);
for (x = 0; x < width; x++) {
int suma = p0[x - 1] * 1 +
p1[x ] * -1;
int sumb = p0[x ] * 1 +
p1[x - 1] * -1;
dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane];
}
return 0;
}
static int filter_sobel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int stride = in->linesize[plane];
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint8_t *src = in->data[plane] + slice_start * stride;
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
const float scale = s->scale;
const float delta = s->delta;
uint8_t *p0 = s->bptrs[jobnr] + 16;
uint8_t *p1 = p0 + bstride;
uint8_t *p2 = p1 + bstride;
uint8_t *orig = p0, *end = p2;
int y, x;
line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy8(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy8(p2, src, width, 1);
for (x = 0; x < width; x++) {
int suma = p0[x - 1] * -1 +
p0[x] * -2 +
p0[x + 1] * -1 +
p2[x - 1] * 1 +
p2[x] * 2 +
p2[x + 1] * 1;
int sumb = p0[x - 1] * -1 +
p0[x + 1] * 1 +
p1[x - 1] * -2 +
p1[x + 1] * 2 +
p2[x - 1] * -1 +
p2[x + 1] * 1;
dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane];
}
return 0;
}
static int filter16_3x3(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int peak = (1 << s->depth) - 1;
const int stride = in->linesize[plane] / 2;
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
uint16_t *p1 = p0 + bstride;
uint16_t *p2 = p1 + bstride;
uint16_t *orig = p0, *end = p2;
const int *matrix = s->matrix[plane];
const float rdiv = s->rdiv[plane];
const float bias = s->bias[plane];
int y, x;
line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy16(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy16(p2, src, width, 1);
for (x = 0; x < width; x++) {
int sum = p0[x - 1] * matrix[0] +
p0[x] * matrix[1] +
p0[x + 1] * matrix[2] +
p1[x - 1] * matrix[3] +
p1[x] * matrix[4] +
p1[x + 1] * matrix[5] +
p2[x - 1] * matrix[6] +
p2[x] * matrix[7] +
p2[x + 1] * matrix[8];
sum = (int)(sum * rdiv + bias + 0.5f);
dst[x] = av_clip(sum, 0, peak);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane] / 2;
}
return 0;
}
static int filter16_5x5(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int peak = (1 << s->depth) - 1;
const int stride = in->linesize[plane] / 2;
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
uint16_t *p1 = p0 + bstride;
uint16_t *p2 = p1 + bstride;
uint16_t *p3 = p2 + bstride;
uint16_t *p4 = p3 + bstride;
uint16_t *orig = p0, *end = p4;
const int *matrix = s->matrix[plane];
float rdiv = s->rdiv[plane];
float bias = s->bias[plane];
int y, x, i;
line_copy16(p0, src + 2 * stride * (slice_start < 2 ? 1 : -1), width, 2);
line_copy16(p1, src + stride * (slice_start == 0 ? 1 : -1), width, 2);
line_copy16(p2, src, width, 2);
src += stride;
line_copy16(p3, src, width, 2);
for (y = slice_start; y < slice_end; y++) {
uint16_t *array[] = {
p0 - 2, p0 - 1, p0, p0 + 1, p0 + 2,
p1 - 2, p1 - 1, p1, p1 + 1, p1 + 2,
p2 - 2, p2 - 1, p2, p2 + 1, p2 + 2,
p3 - 2, p3 - 1, p3, p3 + 1, p3 + 2,
p4 - 2, p4 - 1, p4, p4 + 1, p4 + 2
};
src += stride * (y < height - 2 ? 1 : -1);
line_copy16(p4, src, width, 2);
for (x = 0; x < width; x++) {
int sum = 0;
for (i = 0; i < 25; i++) {
sum += *(array[i] + x) * matrix[i];
}
sum = (int)(sum * rdiv + bias + 0.5f);
dst[x] = av_clip(sum, 0, peak);
}
p0 = p1;
p1 = p2;
p2 = p3;
p3 = p4;
p4 = (p4 == end) ? orig: p4 + bstride;
dst += out->linesize[plane] / 2;
}
return 0;
}
static int filter_3x3(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int stride = in->linesize[plane];
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint8_t *src = in->data[plane] + slice_start * stride;
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
uint8_t *p0 = s->bptrs[jobnr] + 16;
uint8_t *p1 = p0 + bstride;
uint8_t *p2 = p1 + bstride;
uint8_t *orig = p0, *end = p2;
const int *matrix = s->matrix[plane];
const float rdiv = s->rdiv[plane];
const float bias = s->bias[plane];
int y, x;
line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
line_copy8(p1, src, width, 1);
for (y = slice_start; y < slice_end; y++) {
src += stride * (y < height - 1 ? 1 : -1);
line_copy8(p2, src, width, 1);
for (x = 0; x < width; x++) {
int sum = p0[x - 1] * matrix[0] +
p0[x] * matrix[1] +
p0[x + 1] * matrix[2] +
p1[x - 1] * matrix[3] +
p1[x] * matrix[4] +
p1[x + 1] * matrix[5] +
p2[x - 1] * matrix[6] +
p2[x] * matrix[7] +
p2[x + 1] * matrix[8];
sum = (int)(sum * rdiv + bias + 0.5f);
dst[x] = av_clip_uint8(sum);
}
p0 = p1;
p1 = p2;
p2 = (p2 == end) ? orig: p2 + bstride;
dst += out->linesize[plane];
}
return 0;
}
static int filter_5x5(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolutionContext *s = ctx->priv;
ThreadData *td = arg;
AVFrame *in = td->in;
AVFrame *out = td->out;
const int plane = td->plane;
const int stride = in->linesize[plane];
const int bstride = s->bstride;
const int height = s->planeheight[plane];
const int width = s->planewidth[plane];
const int slice_start = (height * jobnr) / nb_jobs;
const int slice_end = (height * (jobnr+1)) / nb_jobs;
const uint8_t *src = in->data[plane] + slice_start * stride;
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
uint8_t *p0 = s->bptrs[jobnr] + 16;
uint8_t *p1 = p0 + bstride;
uint8_t *p2 = p1 + bstride;
uint8_t *p3 = p2 + bstride;
uint8_t *p4 = p3 + bstride;
uint8_t *orig = p0, *end = p4;
const int *matrix = s->matrix[plane];
float rdiv = s->rdiv[plane];
float bias = s->bias[plane];
int y, x, i;
line_copy8(p0, src + 2 * stride * (slice_start < 2 ? 1 : -1), width, 2);
line_copy8(p1, src + stride * (slice_start == 0 ? 1 : -1), width, 2);
line_copy8(p2, src, width, 2);
src += stride;
line_copy8(p3, src, width, 2);
for (y = slice_start; y < slice_end; y++) {
uint8_t *array[] = {
p0 - 2, p0 - 1, p0, p0 + 1, p0 + 2,
p1 - 2, p1 - 1, p1, p1 + 1, p1 + 2,
p2 - 2, p2 - 1, p2, p2 + 1, p2 + 2,
p3 - 2, p3 - 1, p3, p3 + 1, p3 + 2,
p4 - 2, p4 - 1, p4, p4 + 1, p4 + 2
};
src += stride * (y < height - 2 ? 1 : -1);
line_copy8(p4, src, width, 2);
for (x = 0; x < width; x++) {
int sum = 0;
for (i = 0; i < 25; i++) {
sum += *(array[i] + x) * matrix[i];
}
sum = (int)(sum * rdiv + bias + 0.5f);
dst[x] = av_clip_uint8(sum);
}
p0 = p1;
p1 = p2;
p2 = p3;
p3 = p4;
p4 = (p4 == end) ? orig: p4 + bstride;
dst += out->linesize[plane];
}
return 0;
}
static int config_input(AVFilterLink *inlink)
{
AVFilterContext *ctx = inlink->dst;
ConvolutionContext *s = ctx->priv;
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
int p;
s->depth = desc->comp[0].depth;
s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
s->planewidth[0] = s->planewidth[3] = inlink->w;
s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
s->planeheight[0] = s->planeheight[3] = inlink->h;
s->nb_planes = av_pix_fmt_count_planes(inlink->format);
s->nb_threads = ff_filter_get_nb_threads(ctx);
s->bptrs = av_calloc(s->nb_threads, sizeof(*s->bptrs));
if (!s->bptrs)
return AVERROR(ENOMEM);
s->bstride = s->planewidth[0] + 32;
s->bpc = (s->depth + 7) / 8;
s->buffer = av_malloc_array(5 * s->bstride * s->nb_threads, s->bpc);
if (!s->buffer)
return AVERROR(ENOMEM);
for (p = 0; p < s->nb_threads; p++) {
s->bptrs[p] = s->buffer + 5 * s->bstride * s->bpc * p;
}
if (!strcmp(ctx->filter->name, "convolution")) {
if (s->depth > 8) {
for (p = 0; p < s->nb_planes; p++) {
if (s->size[p] == 3)
s->filter[p] = filter16_3x3;
else if (s->size[p] == 5)
s->filter[p] = filter16_5x5;
}
}
} else if (!strcmp(ctx->filter->name, "prewitt")) {
if (s->depth > 8)
for (p = 0; p < s->nb_planes; p++)
s->filter[p] = filter16_prewitt;
} else if (!strcmp(ctx->filter->name, "roberts")) {
if (s->depth > 8)
for (p = 0; p < s->nb_planes; p++)
s->filter[p] = filter16_roberts;
} else if (!strcmp(ctx->filter->name, "sobel")) {
if (s->depth > 8)
for (p = 0; p < s->nb_planes; p++)
s->filter[p] = filter16_sobel;
}
return 0;
}
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
{
AVFilterContext *ctx = inlink->dst;
ConvolutionContext *s = ctx->priv;
AVFilterLink *outlink = ctx->outputs[0];
AVFrame *out;
int plane;
out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
if (!out) {
av_frame_free(&in);
return AVERROR(ENOMEM);
}
av_frame_copy_props(out, in);
for (plane = 0; plane < s->nb_planes; plane++) {
ThreadData td;
if (s->copy[plane]) {
av_image_copy_plane(out->data[plane], out->linesize[plane],
in->data[plane], in->linesize[plane],
s->planewidth[plane] * s->bpc,
s->planeheight[plane]);
continue;
}
td.in = in;
td.out = out;
td.plane = plane;
ctx->internal->execute(ctx, s->filter[plane], &td, NULL, FFMIN(s->planeheight[plane], s->nb_threads));
}
av_frame_free(&in);
return ff_filter_frame(outlink, out);
}
static av_cold int init(AVFilterContext *ctx)
{
ConvolutionContext *s = ctx->priv;
int i;
if (!strcmp(ctx->filter->name, "convolution")) {
for (i = 0; i < 4; i++) {
int *matrix = (int *)s->matrix[i];
char *p, *arg, *saveptr = NULL;
p = s->matrix_str[i];
while (s->matrix_length[i] < 25) {
if (!(arg = av_strtok(p, " ", &saveptr)))
break;
p = NULL;
sscanf(arg, "%d", &matrix[s->matrix_length[i]]);
s->matrix_length[i]++;
}
if (s->matrix_length[i] == 9) {
s->size[i] = 3;
if (!memcmp(matrix, same3x3, sizeof(same3x3)))
s->copy[i] = 1;
else
s->filter[i] = filter_3x3;
} else if (s->matrix_length[i] == 25) {
s->size[i] = 5;
if (!memcmp(matrix, same5x5, sizeof(same5x5)))
s->copy[i] = 1;
else
s->filter[i] = filter_5x5;
} else {
return AVERROR(EINVAL);
}
}
} else if (!strcmp(ctx->filter->name, "prewitt")) {
for (i = 0; i < 4; i++) {
if ((1 << i) & s->planes)
s->filter[i] = filter_prewitt;
else
s->copy[i] = 1;
}
} else if (!strcmp(ctx->filter->name, "roberts")) {
for (i = 0; i < 4; i++) {
if ((1 << i) & s->planes)
s->filter[i] = filter_roberts;
else
s->copy[i] = 1;
}
} else if (!strcmp(ctx->filter->name, "sobel")) {
for (i = 0; i < 4; i++) {
if ((1 << i) & s->planes)
s->filter[i] = filter_sobel;
else
s->copy[i] = 1;
}
}
return 0;
}
static av_cold void uninit(AVFilterContext *ctx)
{
ConvolutionContext *s = ctx->priv;
av_freep(&s->bptrs);
av_freep(&s->buffer);
}
static const AVFilterPad convolution_inputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_input,
.filter_frame = filter_frame,
},
{ NULL }
};
static const AVFilterPad convolution_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
},
{ NULL }
};
#if CONFIG_CONVOLUTION_FILTER
AVFilter ff_vf_convolution = {
.name = "convolution",
.description = NULL_IF_CONFIG_SMALL("Apply convolution filter."),
.priv_size = sizeof(ConvolutionContext),
.priv_class = &convolution_class,
.init = init,
.uninit = uninit,
.query_formats = query_formats,
.inputs = convolution_inputs,
.outputs = convolution_outputs,
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
};
#endif /* CONFIG_CONVOLUTION_FILTER */
#if CONFIG_PREWITT_FILTER
static const AVOption prewitt_options[] = {
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
{ NULL }
};
AVFILTER_DEFINE_CLASS(prewitt);
AVFilter ff_vf_prewitt = {
.name = "prewitt",
.description = NULL_IF_CONFIG_SMALL("Apply prewitt operator."),
.priv_size = sizeof(ConvolutionContext),
.priv_class = &prewitt_class,
.init = init,
.uninit = uninit,
.query_formats = query_formats,
.inputs = convolution_inputs,
.outputs = convolution_outputs,
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
};
#endif /* CONFIG_PREWITT_FILTER */
#if CONFIG_SOBEL_FILTER
static const AVOption sobel_options[] = {
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
{ NULL }
};
AVFILTER_DEFINE_CLASS(sobel);
AVFilter ff_vf_sobel = {
.name = "sobel",
.description = NULL_IF_CONFIG_SMALL("Apply sobel operator."),
.priv_size = sizeof(ConvolutionContext),
.priv_class = &sobel_class,
.init = init,
.uninit = uninit,
.query_formats = query_formats,
.inputs = convolution_inputs,
.outputs = convolution_outputs,
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
};
#endif /* CONFIG_SOBEL_FILTER */
#if CONFIG_ROBERTS_FILTER
static const AVOption roberts_options[] = {
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
{ NULL }
};
AVFILTER_DEFINE_CLASS(roberts);
AVFilter ff_vf_roberts = {
.name = "roberts",
.description = NULL_IF_CONFIG_SMALL("Apply roberts cross operator."),
.priv_size = sizeof(ConvolutionContext),
.priv_class = &roberts_class,
.init = init,
.uninit = uninit,
.query_formats = query_formats,
.inputs = convolution_inputs,
.outputs = convolution_outputs,
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
};
#endif /* CONFIG_ROBERTS_FILTER */