mirror of
https://github.com/FFmpeg/FFmpeg.git
synced 2024-12-07 11:13:41 +02:00
790f793844
There are lots of files that don't need it: The number of object files that actually need it went down from 2011 to 884 here. Keep it for external users in order to not cause breakages. Also improve the other headers a bit while just at it. Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
977 lines
33 KiB
C
977 lines
33 KiB
C
/*
|
|
* 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 "config_components.h"
|
|
|
|
#include <float.h>
|
|
|
|
#include "libavutil/mem.h"
|
|
#include "libavutil/opt.h"
|
|
#include "libavutil/pixdesc.h"
|
|
#include "libavutil/tx.h"
|
|
|
|
#include "avfilter.h"
|
|
#include "framesync.h"
|
|
#include "internal.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];
|
|
|
|
int primarywidth[4];
|
|
int primaryheight[4];
|
|
|
|
int secondarywidth[4];
|
|
int secondaryheight[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];
|
|
|
|
void (*get_input)(struct ConvolveContext *s, AVComplexFloat *fft_hdata,
|
|
AVFrame *in, int w, int h, int n, int plane, float scale);
|
|
|
|
void (*get_output)(struct ConvolveContext *s, AVComplexFloat *input, AVFrame *out,
|
|
int w, int h, int n, int plane, float scale);
|
|
void (*prepare_impulse)(AVFilterContext *ctx, AVFrame *impulsepic, int plane);
|
|
|
|
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, .unit = "impulse" },
|
|
{ "first", "process only first impulse, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, .unit = "impulse" },
|
|
{ "all", "process all impulses", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, .unit = "impulse" },
|
|
{ "noise", "set noise", OFFSET(noise), AV_OPT_TYPE_FLOAT, {.dbl=0.0000001}, 0, 1, FLAGS },
|
|
{ NULL },
|
|
};
|
|
|
|
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
|
|
};
|
|
|
|
static int config_input(AVFilterLink *inlink)
|
|
{
|
|
ConvolveContext *s = inlink->dst->priv;
|
|
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
|
|
const int w = inlink->w;
|
|
const int h = inlink->h;
|
|
|
|
s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(w, desc->log2_chroma_w);
|
|
s->planewidth[0] = s->planewidth[3] = w;
|
|
s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(h, desc->log2_chroma_h);
|
|
s->planeheight[0] = s->planeheight[3] = h;
|
|
|
|
s->nb_planes = desc->nb_components;
|
|
s->depth = desc->comp[0].depth;
|
|
|
|
for (int 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(AVComplexFloat));
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
#define SQR(x) ((x) * (x))
|
|
|
|
static void get_zeropadded_input(ConvolveContext *s,
|
|
AVComplexFloat *fft_hdata,
|
|
AVFrame *in, int w, int h,
|
|
int n, int plane, float scale)
|
|
{
|
|
float sum = 0.f;
|
|
float mean, dev;
|
|
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++)
|
|
sum += src[x];
|
|
}
|
|
|
|
mean = sum / (w * h);
|
|
sum = 0.f;
|
|
for (y = 0; y < h; y++) {
|
|
const uint8_t *src = in->data[plane] + in->linesize[plane] * y;
|
|
|
|
for (x = 0; x < w; x++)
|
|
sum += SQR(src[x] - mean);
|
|
}
|
|
|
|
dev = sqrtf(sum / (w * h));
|
|
scale /= dev;
|
|
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 * n + x].re = (src[x] - mean) * scale;
|
|
fft_hdata[y * n + x].im = 0;
|
|
}
|
|
|
|
for (x = w; x < n; x++) {
|
|
fft_hdata[y * n + x].re = 0;
|
|
fft_hdata[y * n + x].im = 0;
|
|
}
|
|
}
|
|
|
|
for (y = h; y < n; y++) {
|
|
for (x = 0; x < n; x++) {
|
|
fft_hdata[y * n + x].re = 0;
|
|
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++)
|
|
sum += src[x];
|
|
}
|
|
|
|
mean = sum / (w * h);
|
|
sum = 0.f;
|
|
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++)
|
|
sum += SQR(src[x] - mean);
|
|
}
|
|
|
|
dev = sqrtf(sum / (w * h));
|
|
scale /= dev;
|
|
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 * n + x].re = (src[x] - mean) * scale;
|
|
fft_hdata[y * n + x].im = 0;
|
|
}
|
|
|
|
for (x = w; x < n; x++) {
|
|
fft_hdata[y * n + x].re = 0;
|
|
fft_hdata[y * n + x].im = 0;
|
|
}
|
|
}
|
|
|
|
for (y = h; y < n; y++) {
|
|
for (x = 0; x < n; x++) {
|
|
fft_hdata[y * n + x].re = 0;
|
|
fft_hdata[y * n + x].im = 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(AVComplexFloat));
|
|
}
|
|
|
|
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(AVComplexFloat));
|
|
|
|
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(AVComplexFloat));
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static void get_xoutput(ConvolveContext *s, AVComplexFloat *input, AVFrame *out,
|
|
int w, int h, int n, int plane, float scale)
|
|
{
|
|
const int imax = (1 << s->depth) - 1;
|
|
|
|
scale *= imax * 16;
|
|
if (s->depth == 8) {
|
|
for (int y = 0; y < h; y++) {
|
|
uint8_t *dst = out->data[plane] + y * out->linesize[plane];
|
|
for (int x = 0; x < w; x++)
|
|
dst[x] = av_clip_uint8(input[y * n + x].re * scale);
|
|
}
|
|
} else {
|
|
for (int y = 0; y < h; y++) {
|
|
uint16_t *dst = (uint16_t *)(out->data[plane] + y * out->linesize[plane]);
|
|
for (int x = 0; x < w; x++)
|
|
dst[x] = av_clip(input[y * n + x].re * scale, 0, imax);
|
|
}
|
|
}
|
|
}
|
|
|
|
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_xcorrelate(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
|
|
{
|
|
ThreadData *td = arg;
|
|
AVComplexFloat *input = td->hdata_in;
|
|
AVComplexFloat *filter = td->vdata_in;
|
|
const int n = td->n;
|
|
const float scale = 1.f / (n * n);
|
|
int start = (n * jobnr) / nb_jobs;
|
|
int end = (n * (jobnr+1)) / nb_jobs;
|
|
|
|
for (int y = start; y < end; y++) {
|
|
int yn = y * n;
|
|
|
|
for (int 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 * scale;
|
|
iim = -filter[yn + x].im * scale;
|
|
|
|
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 void prepare_impulse(AVFilterContext *ctx, AVFrame *impulsepic, int plane)
|
|
{
|
|
ConvolveContext *s = ctx->priv;
|
|
const int n = s->fft_len[plane];
|
|
const int w = s->secondarywidth[plane];
|
|
const int h = s->secondaryheight[plane];
|
|
ThreadData td;
|
|
float total = 0;
|
|
|
|
if (s->depth == 8) {
|
|
for (int y = 0; y < h; y++) {
|
|
const uint8_t *src = (const uint8_t *)(impulsepic->data[plane] + y * impulsepic->linesize[plane]) ;
|
|
for (int x = 0; x < w; x++) {
|
|
total += src[x];
|
|
}
|
|
}
|
|
} else {
|
|
for (int y = 0; y < h; y++) {
|
|
const uint16_t *src = (const uint16_t *)(impulsepic->data[plane] + y * impulsepic->linesize[plane]) ;
|
|
for (int x = 0; x < w; x++) {
|
|
total += src[x];
|
|
}
|
|
}
|
|
}
|
|
total = FFMAX(1, total);
|
|
|
|
s->get_input(s, s->fft_hdata_impulse_in[plane], impulsepic, w, h, n, plane, 1.f / total);
|
|
|
|
td.n = n;
|
|
td.plane = plane;
|
|
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;
|
|
}
|
|
|
|
static void prepare_secondary(AVFilterContext *ctx, AVFrame *secondary, int plane)
|
|
{
|
|
ConvolveContext *s = ctx->priv;
|
|
const int n = s->fft_len[plane];
|
|
ThreadData td;
|
|
|
|
s->get_input(s, s->fft_hdata_impulse_in[plane], secondary,
|
|
s->secondarywidth[plane],
|
|
s->secondaryheight[plane],
|
|
n, plane, 1.f);
|
|
|
|
td.n = n;
|
|
td.plane = plane;
|
|
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;
|
|
}
|
|
|
|
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, 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->primarywidth[plane];
|
|
const int h = s->primaryheight[plane];
|
|
const int ow = s->planewidth[plane];
|
|
const int oh = s->planeheight[plane];
|
|
ThreadData td;
|
|
|
|
if (!(s->planes & (1 << plane))) {
|
|
continue;
|
|
}
|
|
|
|
td.plane = plane, td.n = n;
|
|
s->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) {
|
|
s->prepare_impulse(ctx, impulsepic, plane);
|
|
}
|
|
|
|
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)));
|
|
|
|
s->get_output(s, s->fft_hdata_out[plane], mainpic, ow, oh, n, plane, 1.f / (n * n));
|
|
}
|
|
|
|
return ff_filter_frame(outlink, mainpic);
|
|
}
|
|
|
|
static int config_output(AVFilterLink *outlink)
|
|
{
|
|
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(outlink->format);
|
|
AVFilterContext *ctx = outlink->src;
|
|
ConvolveContext *s = ctx->priv;
|
|
AVFilterLink *mainlink = ctx->inputs[0];
|
|
AVFilterLink *secondlink = ctx->inputs[1];
|
|
int ret, i, j;
|
|
|
|
s->primarywidth[1] = s->primarywidth[2] = AV_CEIL_RSHIFT(mainlink->w, desc->log2_chroma_w);
|
|
s->primarywidth[0] = s->primarywidth[3] = mainlink->w;
|
|
s->primaryheight[1] = s->primaryheight[2] = AV_CEIL_RSHIFT(mainlink->h, desc->log2_chroma_h);
|
|
s->primaryheight[0] = s->primaryheight[3] = mainlink->h;
|
|
|
|
s->secondarywidth[1] = s->secondarywidth[2] = AV_CEIL_RSHIFT(secondlink->w, desc->log2_chroma_w);
|
|
s->secondarywidth[0] = s->secondarywidth[3] = secondlink->w;
|
|
s->secondaryheight[1] = s->secondaryheight[2] = AV_CEIL_RSHIFT(secondlink->h, desc->log2_chroma_h);
|
|
s->secondaryheight[0] = s->secondaryheight[3] = secondlink->h;
|
|
|
|
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 = 1.f;
|
|
|
|
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;
|
|
s->prepare_impulse = prepare_impulse;
|
|
s->get_input = get_input;
|
|
s->get_output = get_output;
|
|
} else if (!strcmp(ctx->filter->name, "xcorrelate")) {
|
|
s->filter = complex_xcorrelate;
|
|
s->prepare_impulse = prepare_secondary;
|
|
s->get_input = get_zeropadded_input;
|
|
s->get_output = get_xoutput;
|
|
} else if (!strcmp(ctx->filter->name, "deconvolve")) {
|
|
s->filter = complex_divide;
|
|
s->prepare_impulse = prepare_impulse;
|
|
s->get_input = get_input;
|
|
s->get_output = get_output;
|
|
} 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,
|
|
},{
|
|
.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_PIXFMTS_ARRAY(pixel_fmts_fftfilt),
|
|
.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, .unit = "impulse" },
|
|
{ "first", "process only first impulse, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, .unit = "impulse" },
|
|
{ "all", "process all impulses", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, .unit = "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_PIXFMTS_ARRAY(pixel_fmts_fftfilt),
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
|
|
};
|
|
|
|
#endif /* CONFIG_DECONVOLVE_FILTER */
|
|
|
|
#if CONFIG_XCORRELATE_FILTER
|
|
|
|
static const AVOption xcorrelate_options[] = {
|
|
{ "planes", "set planes to cross-correlate", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=7}, 0, 15, FLAGS },
|
|
{ "secondary", "when to process secondary frame", OFFSET(impulse), AV_OPT_TYPE_INT, {.i64=1}, 0, 1, FLAGS, .unit = "impulse" },
|
|
{ "first", "process only first secondary frame, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, .unit = "impulse" },
|
|
{ "all", "process all secondary frames", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, .unit = "impulse" },
|
|
{ NULL },
|
|
};
|
|
|
|
FRAMESYNC_DEFINE_PURE_CLASS(xcorrelate, "xcorrelate", convolve, xcorrelate_options);
|
|
|
|
static int config_input_secondary(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 second input videos must be less than first input.\n");
|
|
return AVERROR(EINVAL);
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static const AVFilterPad xcorrelate_inputs[] = {
|
|
{
|
|
.name = "primary",
|
|
.type = AVMEDIA_TYPE_VIDEO,
|
|
.config_props = config_input,
|
|
},{
|
|
.name = "secondary",
|
|
.type = AVMEDIA_TYPE_VIDEO,
|
|
.config_props = config_input_secondary,
|
|
},
|
|
};
|
|
|
|
#define xcorrelate_outputs convolve_outputs
|
|
|
|
const AVFilter ff_vf_xcorrelate = {
|
|
.name = "xcorrelate",
|
|
.description = NULL_IF_CONFIG_SMALL("Cross-correlate first video stream with second video stream."),
|
|
.preinit = convolve_framesync_preinit,
|
|
.init = init,
|
|
.uninit = uninit,
|
|
.activate = activate,
|
|
.priv_size = sizeof(ConvolveContext),
|
|
.priv_class = &xcorrelate_class,
|
|
FILTER_INPUTS(xcorrelate_inputs),
|
|
FILTER_OUTPUTS(xcorrelate_outputs),
|
|
FILTER_PIXFMTS_ARRAY(pixel_fmts_fftfilt),
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
|
|
};
|
|
|
|
#endif /* CONFIG_XCORRELATE_FILTER */
|