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FFmpeg/libavfilter/vf_convolve.c
Andreas Rheinhardt b4f5201967 avfilter: Replace query_formats callback with union of list and callback 
If one looks at the many query_formats callbacks in existence,
one will immediately recognize that there is one type of default
callback for video and a slightly different default callback for
audio: It is "return ff_set_common_formats_from_list(ctx, pix_fmts);"
for video with a filter-specific pix_fmts list. For audio, it is
the same with a filter-specific sample_fmts list together with
ff_set_common_all_samplerates() and ff_set_common_all_channel_counts().

This commit allows to remove the boilerplate query_formats callbacks
by replacing said callback with a union consisting the old callback
and pointers for pixel and sample format arrays. For the not uncommon
case in which these lists only contain a single entry (besides the
sentinel) enum AVPixelFormat and enum AVSampleFormat fields are also
added to the union to store them directly in the AVFilter,
thereby avoiding a relocation.

The state of said union will be contained in a new, dedicated AVFilter
field (the nb_inputs and nb_outputs fields have been shrunk to uint8_t
in order to create a hole for this new field; this is no problem, as
the maximum of all the nb_inputs is four; for nb_outputs it is only
two).

The state's default value coincides with the earlier default of
query_formats being unset, namely that the filter accepts all formats
(and also sample rates and channel counts/layouts for audio)
provided that these properties agree coincide for all inputs and
outputs.

By using different union members for audio and video filters
the type-unsafety of using the same functions for audio and video
lists will furthermore be more confined to formats.c than before.

When the new fields are used, they will also avoid allocations:
Currently something nearly equivalent to ff_default_query_formats()
is called after every successful call to a query_formats callback;
yet in the common case that the newly allocated AVFilterFormats
are not used at all (namely if there are no free links) these newly
allocated AVFilterFormats are freed again without ever being used.
Filters no longer using the callback will not exhibit this any more.

Reviewed-by: Paul B Mahol <onemda@gmail.com>
Reviewed-by: Nicolas George <george@nsup.org>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
2021-10-05 17:48:25 +02:00

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/*
* Copyright (c) 2017 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 <float.h>
#include "libavutil/imgutils.h"
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
#include "libavutil/tx.h"
#include "avfilter.h"
#include "formats.h"
#include "framesync.h"
#include "internal.h"
#include "video.h"
#define MAX_THREADS 16
typedef struct ConvolveContext {
const AVClass *class;
FFFrameSync fs;
AVTXContext *fft[4][MAX_THREADS];
AVTXContext *ifft[4][MAX_THREADS];
av_tx_fn tx_fn[4];
av_tx_fn itx_fn[4];
int fft_len[4];
int planewidth[4];
int planeheight[4];
AVComplexFloat *fft_hdata_in[4];
AVComplexFloat *fft_vdata_in[4];
AVComplexFloat *fft_hdata_out[4];
AVComplexFloat *fft_vdata_out[4];
AVComplexFloat *fft_hdata_impulse_in[4];
AVComplexFloat *fft_vdata_impulse_in[4];
AVComplexFloat *fft_hdata_impulse_out[4];
AVComplexFloat *fft_vdata_impulse_out[4];
int depth;
int planes;
int impulse;
float noise;
int nb_planes;
int got_impulse[4];
int (*filter)(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs);
} ConvolveContext;
#define OFFSET(x) offsetof(ConvolveContext, x)
#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
static const AVOption convolve_options[] = {
{ "planes", "set planes to convolve", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=7}, 0, 15, FLAGS },
{ "impulse", "when to process impulses", OFFSET(impulse), AV_OPT_TYPE_INT, {.i64=1}, 0, 1, FLAGS, "impulse" },
{ "first", "process only first impulse, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, "impulse" },
{ "all", "process all impulses", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, "impulse" },
{ "noise", "set noise", OFFSET(noise), AV_OPT_TYPE_FLOAT, {.dbl=0.0000001}, 0, 1, FLAGS },
{ NULL },
};
static int query_formats(AVFilterContext *ctx)
{
static const enum AVPixelFormat pixel_fmts_fftfilt[] = {
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_GRAY14, AV_PIX_FMT_GRAY16,
AV_PIX_FMT_NONE
};
return ff_set_common_formats_from_list(ctx, pixel_fmts_fftfilt);
}
static int config_input_main(AVFilterLink *inlink)
{
ConvolveContext *s = inlink->dst->priv;
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
int i;
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 = desc->nb_components;
s->depth = desc->comp[0].depth;
for (i = 0; i < s->nb_planes; i++) {
int w = s->planewidth[i];
int h = s->planeheight[i];
int n = FFMAX(w, h);
s->fft_len[i] = 1 << (av_log2(2 * n - 1));
if (!(s->fft_hdata_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_hdata_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_vdata_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_vdata_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_hdata_impulse_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_vdata_impulse_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_hdata_impulse_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
if (!(s->fft_vdata_impulse_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
return AVERROR(ENOMEM);
}
return 0;
}
static int config_input_impulse(AVFilterLink *inlink)
{
AVFilterContext *ctx = inlink->dst;
if (ctx->inputs[0]->w != ctx->inputs[1]->w ||
ctx->inputs[0]->h != ctx->inputs[1]->h) {
av_log(ctx, AV_LOG_ERROR, "Width and height of input videos must be same.\n");
return AVERROR(EINVAL);
}
return 0;
}
typedef struct ThreadData {
AVComplexFloat *hdata_in, *vdata_in;
AVComplexFloat *hdata_out, *vdata_out;
int plane, n;
} ThreadData;
static int fft_horizontal(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolveContext *s = ctx->priv;
ThreadData *td = arg;
AVComplexFloat *hdata_in = td->hdata_in;
AVComplexFloat *hdata_out = td->hdata_out;
const int plane = td->plane;
const int n = td->n;
int start = (n * jobnr) / nb_jobs;
int end = (n * (jobnr+1)) / nb_jobs;
int y;
for (y = start; y < end; y++) {
s->tx_fn[plane](s->fft[plane][jobnr], hdata_out + y * n, hdata_in + y * n, sizeof(float));
}
return 0;
}
static void get_input(ConvolveContext *s, AVComplexFloat *fft_hdata,
AVFrame *in, int w, int h, int n, int plane, float scale)
{
const int iw = (n - w) / 2, ih = (n - h) / 2;
int y, x;
if (s->depth == 8) {
for (y = 0; y < h; y++) {
const uint8_t *src = in->data[plane] + in->linesize[plane] * y;
for (x = 0; x < w; x++) {
fft_hdata[(y + ih) * n + iw + x].re = src[x] * scale;
fft_hdata[(y + ih) * n + iw + x].im = 0;
}
for (x = 0; x < iw; x++) {
fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + iw].re;
fft_hdata[(y + ih) * n + x].im = 0;
}
for (x = n - iw; x < n; x++) {
fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + n - iw - 1].re;
fft_hdata[(y + ih) * n + x].im = 0;
}
}
for (y = 0; y < ih; y++) {
for (x = 0; x < n; x++) {
fft_hdata[y * n + x].re = fft_hdata[ih * n + x].re;
fft_hdata[y * n + x].im = 0;
}
}
for (y = n - ih; y < n; y++) {
for (x = 0; x < n; x++) {
fft_hdata[y * n + x].re = fft_hdata[(n - ih - 1) * n + x].re;
fft_hdata[y * n + x].im = 0;
}
}
} else {
for (y = 0; y < h; y++) {
const uint16_t *src = (const uint16_t *)(in->data[plane] + in->linesize[plane] * y);
for (x = 0; x < w; x++) {
fft_hdata[(y + ih) * n + iw + x].re = src[x] * scale;
fft_hdata[(y + ih) * n + iw + x].im = 0;
}
for (x = 0; x < iw; x++) {
fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + iw].re;
fft_hdata[(y + ih) * n + x].im = 0;
}
for (x = n - iw; x < n; x++) {
fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + n - iw - 1].re;
fft_hdata[(y + ih) * n + x].im = 0;
}
}
for (y = 0; y < ih; y++) {
for (x = 0; x < n; x++) {
fft_hdata[y * n + x].re = fft_hdata[ih * n + x].re;
fft_hdata[y * n + x].im = 0;
}
}
for (y = n - ih; y < n; y++) {
for (x = 0; x < n; x++) {
fft_hdata[y * n + x].re = fft_hdata[(n - ih - 1) * n + x].re;
fft_hdata[y * n + x].im = 0;
}
}
}
}
static int fft_vertical(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolveContext *s = ctx->priv;
ThreadData *td = arg;
AVComplexFloat *hdata = td->hdata_out;
AVComplexFloat *vdata_in = td->vdata_in;
AVComplexFloat *vdata_out = td->vdata_out;
const int plane = td->plane;
const int n = td->n;
int start = (n * jobnr) / nb_jobs;
int end = (n * (jobnr+1)) / nb_jobs;
int y, x;
for (y = start; y < end; y++) {
for (x = 0; x < n; x++) {
vdata_in[y * n + x].re = hdata[x * n + y].re;
vdata_in[y * n + x].im = hdata[x * n + y].im;
}
s->tx_fn[plane](s->fft[plane][jobnr], vdata_out + y * n, vdata_in + y * n, sizeof(float));
}
return 0;
}
static int ifft_vertical(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolveContext *s = ctx->priv;
ThreadData *td = arg;
AVComplexFloat *hdata = td->hdata_out;
AVComplexFloat *vdata_out = td->vdata_out;
AVComplexFloat *vdata_in = td->vdata_in;
const int plane = td->plane;
const int n = td->n;
int start = (n * jobnr) / nb_jobs;
int end = (n * (jobnr+1)) / nb_jobs;
int y, x;
for (y = start; y < end; y++) {
s->itx_fn[plane](s->ifft[plane][jobnr], vdata_out + y * n, vdata_in + y * n, sizeof(float));
for (x = 0; x < n; x++) {
hdata[x * n + y].re = vdata_out[y * n + x].re;
hdata[x * n + y].im = vdata_out[y * n + x].im;
}
}
return 0;
}
static int ifft_horizontal(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolveContext *s = ctx->priv;
ThreadData *td = arg;
AVComplexFloat *hdata_out = td->hdata_out;
AVComplexFloat *hdata_in = td->hdata_in;
const int plane = td->plane;
const int n = td->n;
int start = (n * jobnr) / nb_jobs;
int end = (n * (jobnr+1)) / nb_jobs;
int y;
for (y = start; y < end; y++) {
s->itx_fn[plane](s->ifft[plane][jobnr], hdata_out + y * n, hdata_in + y * n, sizeof(float));
}
return 0;
}
static void get_output(ConvolveContext *s, AVComplexFloat *input, AVFrame *out,
int w, int h, int n, int plane, float scale)
{
const int max = (1 << s->depth) - 1;
const int hh = h / 2;
const int hw = w / 2;
int y, x;
if (s->depth == 8) {
for (y = 0; y < hh; y++) {
uint8_t *dst = out->data[plane] + (y + hh) * out->linesize[plane] + hw;
for (x = 0; x < hw; x++)
dst[x] = av_clip_uint8(input[y * n + x].re * scale);
}
for (y = 0; y < hh; y++) {
uint8_t *dst = out->data[plane] + (y + hh) * out->linesize[plane];
for (x = 0; x < hw; x++)
dst[x] = av_clip_uint8(input[y * n + n - hw + x].re * scale);
}
for (y = 0; y < hh; y++) {
uint8_t *dst = out->data[plane] + y * out->linesize[plane] + hw;
for (x = 0; x < hw; x++)
dst[x] = av_clip_uint8(input[(n - hh + y) * n + x].re * scale);
}
for (y = 0; y < hh; y++) {
uint8_t *dst = out->data[plane] + y * out->linesize[plane];
for (x = 0; x < hw; x++)
dst[x] = av_clip_uint8(input[(n - hh + y) * n + n - hw + x].re * scale);
}
} else {
for (y = 0; y < hh; y++) {
uint16_t *dst = (uint16_t *)(out->data[plane] + (y + hh) * out->linesize[plane] + hw * 2);
for (x = 0; x < hw; x++)
dst[x] = av_clip(input[y * n + x].re * scale, 0, max);
}
for (y = 0; y < hh; y++) {
uint16_t *dst = (uint16_t *)(out->data[plane] + (y + hh) * out->linesize[plane]);
for (x = 0; x < hw; x++)
dst[x] = av_clip(input[y * n + n - hw + x].re * scale, 0, max);
}
for (y = 0; y < hh; y++) {
uint16_t *dst = (uint16_t *)(out->data[plane] + y * out->linesize[plane] + hw * 2);
for (x = 0; x < hw; x++)
dst[x] = av_clip(input[(n - hh + y) * n + x].re * scale, 0, max);
}
for (y = 0; y < hh; y++) {
uint16_t *dst = (uint16_t *)(out->data[plane] + y * out->linesize[plane]);
for (x = 0; x < hw; x++)
dst[x] = av_clip(input[(n - hh + y) * n + n - hw + x].re * scale, 0, max);
}
}
}
static int complex_multiply(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolveContext *s = ctx->priv;
ThreadData *td = arg;
AVComplexFloat *input = td->hdata_in;
AVComplexFloat *filter = td->vdata_in;
const float noise = s->noise;
const int n = td->n;
int start = (n * jobnr) / nb_jobs;
int end = (n * (jobnr+1)) / nb_jobs;
int y, x;
for (y = start; y < end; y++) {
int yn = y * n;
for (x = 0; x < n; x++) {
float re, im, ire, iim;
re = input[yn + x].re;
im = input[yn + x].im;
ire = filter[yn + x].re + noise;
iim = filter[yn + x].im;
input[yn + x].re = ire * re - iim * im;
input[yn + x].im = iim * re + ire * im;
}
}
return 0;
}
static int complex_divide(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ConvolveContext *s = ctx->priv;
ThreadData *td = arg;
AVComplexFloat *input = td->hdata_in;
AVComplexFloat *filter = td->vdata_in;
const float noise = s->noise;
const int n = td->n;
int start = (n * jobnr) / nb_jobs;
int end = (n * (jobnr+1)) / nb_jobs;
int y, x;
for (y = start; y < end; y++) {
int yn = y * n;
for (x = 0; x < n; x++) {
float re, im, ire, iim, div;
re = input[yn + x].re;
im = input[yn + x].im;
ire = filter[yn + x].re;
iim = filter[yn + x].im;
div = ire * ire + iim * iim + noise;
input[yn + x].re = (ire * re + iim * im) / div;
input[yn + x].im = (ire * im - iim * re) / div;
}
}
return 0;
}
static int do_convolve(FFFrameSync *fs)
{
AVFilterContext *ctx = fs->parent;
AVFilterLink *outlink = ctx->outputs[0];
ConvolveContext *s = ctx->priv;
AVFrame *mainpic = NULL, *impulsepic = NULL;
int ret, y, x, plane;
ret = ff_framesync_dualinput_get(fs, &mainpic, &impulsepic);
if (ret < 0)
return ret;
if (!impulsepic)
return ff_filter_frame(outlink, mainpic);
for (plane = 0; plane < s->nb_planes; plane++) {
AVComplexFloat *filter = s->fft_vdata_impulse_out[plane];
AVComplexFloat *input = s->fft_vdata_out[plane];
const int n = s->fft_len[plane];
const int w = s->planewidth[plane];
const int h = s->planeheight[plane];
float total = 0;
ThreadData td;
if (!(s->planes & (1 << plane))) {
continue;
}
td.plane = plane, td.n = n;
get_input(s, s->fft_hdata_in[plane], mainpic, w, h, n, plane, 1.f);
td.hdata_in = s->fft_hdata_in[plane];
td.vdata_in = s->fft_vdata_in[plane];
td.hdata_out = s->fft_hdata_out[plane];
td.vdata_out = s->fft_vdata_out[plane];
ff_filter_execute(ctx, fft_horizontal, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
ff_filter_execute(ctx, fft_vertical, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
if ((!s->impulse && !s->got_impulse[plane]) || s->impulse) {
if (s->depth == 8) {
for (y = 0; y < h; y++) {
const uint8_t *src = (const uint8_t *)(impulsepic->data[plane] + y * impulsepic->linesize[plane]) ;
for (x = 0; x < w; x++) {
total += src[x];
}
}
} else {
for (y = 0; y < h; y++) {
const uint16_t *src = (const uint16_t *)(impulsepic->data[plane] + y * impulsepic->linesize[plane]) ;
for (x = 0; x < w; x++) {
total += src[x];
}
}
}
total = FFMAX(1, total);
get_input(s, s->fft_hdata_impulse_in[plane], impulsepic, w, h, n, plane, 1.f / total);
td.hdata_in = s->fft_hdata_impulse_in[plane];
td.vdata_in = s->fft_vdata_impulse_in[plane];
td.hdata_out = s->fft_hdata_impulse_out[plane];
td.vdata_out = s->fft_vdata_impulse_out[plane];
ff_filter_execute(ctx, fft_horizontal, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
ff_filter_execute(ctx, fft_vertical, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
s->got_impulse[plane] = 1;
}
td.hdata_in = input;
td.vdata_in = filter;
ff_filter_execute(ctx, s->filter, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
td.hdata_in = s->fft_hdata_out[plane];
td.vdata_in = s->fft_vdata_out[plane];
td.hdata_out = s->fft_hdata_in[plane];
td.vdata_out = s->fft_vdata_in[plane];
ff_filter_execute(ctx, ifft_vertical, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
td.hdata_out = s->fft_hdata_out[plane];
td.hdata_in = s->fft_hdata_in[plane];
ff_filter_execute(ctx, ifft_horizontal, &td, NULL,
FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
get_output(s, s->fft_hdata_out[plane], mainpic, w, h, n, plane, 1.f / (n * n));
}
return ff_filter_frame(outlink, mainpic);
}
static int config_output(AVFilterLink *outlink)
{
AVFilterContext *ctx = outlink->src;
ConvolveContext *s = ctx->priv;
AVFilterLink *mainlink = ctx->inputs[0];
int ret, i, j;
s->fs.on_event = do_convolve;
ret = ff_framesync_init_dualinput(&s->fs, ctx);
if (ret < 0)
return ret;
outlink->w = mainlink->w;
outlink->h = mainlink->h;
outlink->time_base = mainlink->time_base;
outlink->sample_aspect_ratio = mainlink->sample_aspect_ratio;
outlink->frame_rate = mainlink->frame_rate;
if ((ret = ff_framesync_configure(&s->fs)) < 0)
return ret;
for (i = 0; i < s->nb_planes; i++) {
for (j = 0; j < MAX_THREADS; j++) {
float scale;
ret = av_tx_init(&s->fft[i][j], &s->tx_fn[i], AV_TX_FLOAT_FFT, 0, s->fft_len[i], &scale, 0);
if (ret < 0)
return ret;
ret = av_tx_init(&s->ifft[i][j], &s->itx_fn[i], AV_TX_FLOAT_FFT, 1, s->fft_len[i], &scale, 0);
if (ret < 0)
return ret;
}
}
return 0;
}
static int activate(AVFilterContext *ctx)
{
ConvolveContext *s = ctx->priv;
return ff_framesync_activate(&s->fs);
}
static av_cold int init(AVFilterContext *ctx)
{
ConvolveContext *s = ctx->priv;
if (!strcmp(ctx->filter->name, "convolve")) {
s->filter = complex_multiply;
} else if (!strcmp(ctx->filter->name, "deconvolve")) {
s->filter = complex_divide;
} else {
return AVERROR_BUG;
}
return 0;
}
static av_cold void uninit(AVFilterContext *ctx)
{
ConvolveContext *s = ctx->priv;
int i, j;
for (i = 0; i < 4; i++) {
av_freep(&s->fft_hdata_in[i]);
av_freep(&s->fft_vdata_in[i]);
av_freep(&s->fft_hdata_out[i]);
av_freep(&s->fft_vdata_out[i]);
av_freep(&s->fft_hdata_impulse_in[i]);
av_freep(&s->fft_vdata_impulse_in[i]);
av_freep(&s->fft_hdata_impulse_out[i]);
av_freep(&s->fft_vdata_impulse_out[i]);
for (j = 0; j < MAX_THREADS; j++) {
av_tx_uninit(&s->fft[i][j]);
av_tx_uninit(&s->ifft[i][j]);
}
}
ff_framesync_uninit(&s->fs);
}
static const AVFilterPad convolve_inputs[] = {
{
.name = "main",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_input_main,
},{
.name = "impulse",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_input_impulse,
},
};
static const AVFilterPad convolve_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_output,
},
};
FRAMESYNC_AUXILIARY_FUNCS(convolve, ConvolveContext, fs)
#if CONFIG_CONVOLVE_FILTER
FRAMESYNC_DEFINE_PURE_CLASS(convolve, "convolve", convolve, convolve_options);
const AVFilter ff_vf_convolve = {
.name = "convolve",
.description = NULL_IF_CONFIG_SMALL("Convolve first video stream with second video stream."),
.preinit = convolve_framesync_preinit,
.init = init,
.uninit = uninit,
.activate = activate,
.priv_size = sizeof(ConvolveContext),
.priv_class = &convolve_class,
FILTER_INPUTS(convolve_inputs),
FILTER_OUTPUTS(convolve_outputs),
FILTER_QUERY_FUNC(query_formats),
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
};
#endif /* CONFIG_CONVOLVE_FILTER */
#if CONFIG_DECONVOLVE_FILTER
static const AVOption deconvolve_options[] = {
{ "planes", "set planes to deconvolve", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=7}, 0, 15, FLAGS },
{ "impulse", "when to process impulses", OFFSET(impulse), AV_OPT_TYPE_INT, {.i64=1}, 0, 1, FLAGS, "impulse" },
{ "first", "process only first impulse, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, "impulse" },
{ "all", "process all impulses", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, "impulse" },
{ "noise", "set noise", OFFSET(noise), AV_OPT_TYPE_FLOAT, {.dbl=0.0000001}, 0, 1, FLAGS },
{ NULL },
};
FRAMESYNC_DEFINE_PURE_CLASS(deconvolve, "deconvolve", convolve, deconvolve_options);
const AVFilter ff_vf_deconvolve = {
.name = "deconvolve",
.description = NULL_IF_CONFIG_SMALL("Deconvolve first video stream with second video stream."),
.preinit = convolve_framesync_preinit,
.init = init,
.uninit = uninit,
.activate = activate,
.priv_size = sizeof(ConvolveContext),
.priv_class = &deconvolve_class,
FILTER_INPUTS(convolve_inputs),
FILTER_OUTPUTS(convolve_outputs),
FILTER_QUERY_FUNC(query_formats),
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
};
#endif /* CONFIG_DECONVOLVE_FILTER */
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