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mirror of https://github.com/FFmpeg/FFmpeg.git synced 2024-11-21 10:55:51 +02:00
FFmpeg/libavfilter/vf_thumbnail.c
Anton Khirnov 6d75d44d90 lavfi: drop internal.h
All that remains in it are things that belong in avfilter_internal.h.

Move them there and remove internal.h
2024-08-19 21:48:04 +02:00

340 lines
11 KiB
C

/*
* Copyright (c) 2011 Smartjog S.A.S, Clément Bœsch <clement.boesch@smartjog.com>
*
* 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
*/
/**
* @file
* Potential thumbnail lookup filter to reduce the risk of an inappropriate
* selection (such as a black frame) we could get with an absolute seek.
*
* Simplified version of algorithm by Vadim Zaliva <lord@crocodile.org>.
* @see http://notbrainsurgery.livejournal.com/29773.html
*/
#include "libavutil/mem.h"
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
#include "avfilter.h"
#include "filters.h"
#define HIST_SIZE (3*256)
struct thumb_frame {
AVFrame *buf; ///< cached frame
int histogram[HIST_SIZE]; ///< RGB color distribution histogram of the frame
};
typedef struct ThumbContext {
const AVClass *class;
int n; ///< current frame
int loglevel;
int n_frames; ///< number of frames for analysis
struct thumb_frame *frames; ///< the n_frames frames
AVRational tb; ///< copy of the input timebase to ease access
int nb_threads;
int *thread_histogram;
int planewidth[4];
int planeheight[4];
} ThumbContext;
#define OFFSET(x) offsetof(ThumbContext, x)
#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
static const AVOption thumbnail_options[] = {
{ "n", "set the frames batch size", OFFSET(n_frames), AV_OPT_TYPE_INT, {.i64=100}, 2, INT_MAX, FLAGS },
{ "log", "force stats logging level", OFFSET(loglevel), AV_OPT_TYPE_INT, {.i64 = AV_LOG_INFO}, INT_MIN, INT_MAX, FLAGS, .unit = "level" },
{ "quiet", "logging disabled", 0, AV_OPT_TYPE_CONST, {.i64 = AV_LOG_QUIET}, 0, 0, FLAGS, .unit = "level" },
{ "info", "information logging level", 0, AV_OPT_TYPE_CONST, {.i64 = AV_LOG_INFO}, 0, 0, FLAGS, .unit = "level" },
{ "verbose", "verbose logging level", 0, AV_OPT_TYPE_CONST, {.i64 = AV_LOG_VERBOSE}, 0, 0, FLAGS, .unit = "level" },
{ NULL }
};
AVFILTER_DEFINE_CLASS(thumbnail);
static av_cold int init(AVFilterContext *ctx)
{
ThumbContext *s = ctx->priv;
s->frames = av_calloc(s->n_frames, sizeof(*s->frames));
if (!s->frames) {
av_log(ctx, AV_LOG_ERROR,
"Allocation failure, try to lower the number of frames\n");
return AVERROR(ENOMEM);
}
av_log(ctx, AV_LOG_VERBOSE, "batch size: %d frames\n", s->n_frames);
return 0;
}
/**
* @brief Compute Sum-square deviation to estimate "closeness".
* @param hist color distribution histogram
* @param median average color distribution histogram
* @return sum of squared errors
*/
static double frame_sum_square_err(const int *hist, const double *median)
{
int i;
double err, sum_sq_err = 0;
for (i = 0; i < HIST_SIZE; i++) {
err = median[i] - (double)hist[i];
sum_sq_err += err*err;
}
return sum_sq_err;
}
static AVFrame *get_best_frame(AVFilterContext *ctx)
{
AVFrame *picref;
ThumbContext *s = ctx->priv;
int i, j, best_frame_idx = 0;
int nb_frames = s->n;
double avg_hist[HIST_SIZE] = {0}, sq_err, min_sq_err = -1;
// average histogram of the N frames
for (j = 0; j < FF_ARRAY_ELEMS(avg_hist); j++) {
for (i = 0; i < nb_frames; i++)
avg_hist[j] += (double)s->frames[i].histogram[j];
avg_hist[j] /= nb_frames;
}
// find the frame closer to the average using the sum of squared errors
for (i = 0; i < nb_frames; i++) {
sq_err = frame_sum_square_err(s->frames[i].histogram, avg_hist);
if (i == 0 || sq_err < min_sq_err)
best_frame_idx = i, min_sq_err = sq_err;
}
// free and reset everything (except the best frame buffer)
for (i = 0; i < nb_frames; i++) {
memset(s->frames[i].histogram, 0, sizeof(s->frames[i].histogram));
if (i != best_frame_idx)
av_frame_free(&s->frames[i].buf);
}
s->n = 0;
// raise the chosen one
picref = s->frames[best_frame_idx].buf;
if (s->loglevel != AV_LOG_QUIET)
av_log(ctx, s->loglevel, "frame id #%d (pts_time=%f) selected "
"from a set of %d images\n", best_frame_idx,
picref->pts * av_q2d(s->tb), nb_frames);
s->frames[best_frame_idx].buf = NULL;
return picref;
}
static int do_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
ThumbContext *s = ctx->priv;
AVFrame *frame = arg;
int *hist = s->thread_histogram + HIST_SIZE * jobnr;
const int h = frame->height;
const int w = frame->width;
const int slice_start = (h * jobnr) / nb_jobs;
const int slice_end = (h * (jobnr+1)) / nb_jobs;
const uint8_t *p = frame->data[0] + slice_start * frame->linesize[0];
memset(hist, 0, sizeof(*hist) * HIST_SIZE);
switch (frame->format) {
case AV_PIX_FMT_RGB24:
case AV_PIX_FMT_BGR24:
for (int j = slice_start; j < slice_end; j++) {
for (int i = 0; i < w; i++) {
hist[0*256 + p[i*3 ]]++;
hist[1*256 + p[i*3 + 1]]++;
hist[2*256 + p[i*3 + 2]]++;
}
p += frame->linesize[0];
}
break;
case AV_PIX_FMT_RGB0:
case AV_PIX_FMT_BGR0:
case AV_PIX_FMT_RGBA:
case AV_PIX_FMT_BGRA:
for (int j = slice_start; j < slice_end; j++) {
for (int i = 0; i < w; i++) {
hist[0*256 + p[i*4 ]]++;
hist[1*256 + p[i*4 + 1]]++;
hist[2*256 + p[i*4 + 2]]++;
}
p += frame->linesize[0];
}
break;
case AV_PIX_FMT_0RGB:
case AV_PIX_FMT_0BGR:
case AV_PIX_FMT_ARGB:
case AV_PIX_FMT_ABGR:
for (int j = slice_start; j < slice_end; j++) {
for (int i = 0; i < w; i++) {
hist[0*256 + p[i*4 + 1]]++;
hist[1*256 + p[i*4 + 2]]++;
hist[2*256 + p[i*4 + 3]]++;
}
p += frame->linesize[0];
}
break;
default:
for (int plane = 0; plane < 3; plane++) {
const int slice_start = (s->planeheight[plane] * jobnr) / nb_jobs;
const int slice_end = (s->planeheight[plane] * (jobnr+1)) / nb_jobs;
const uint8_t *p = frame->data[plane] + slice_start * frame->linesize[plane];
const ptrdiff_t linesize = frame->linesize[plane];
const int planewidth = s->planewidth[plane];
int *hhist = hist + 256 * plane;
for (int j = slice_start; j < slice_end; j++) {
for (int i = 0; i < planewidth; i++)
hhist[p[i]]++;
p += linesize;
}
}
break;
}
return 0;
}
static int filter_frame(AVFilterLink *inlink, AVFrame *frame)
{
AVFilterContext *ctx = inlink->dst;
ThumbContext *s = ctx->priv;
AVFilterLink *outlink = ctx->outputs[0];
int *hist = s->frames[s->n].histogram;
// keep a reference of each frame
s->frames[s->n].buf = frame;
ff_filter_execute(ctx, do_slice, frame, NULL,
FFMIN(frame->height, s->nb_threads));
// update current frame histogram
for (int j = 0; j < FFMIN(frame->height, s->nb_threads); j++) {
int *thread_histogram = s->thread_histogram + HIST_SIZE * j;
for (int i = 0; i < HIST_SIZE; i++)
hist[i] += thread_histogram[i];
}
// no selection until the buffer of N frames is filled up
s->n++;
if (s->n < s->n_frames)
return 0;
return ff_filter_frame(outlink, get_best_frame(ctx));
}
static av_cold void uninit(AVFilterContext *ctx)
{
int i;
ThumbContext *s = ctx->priv;
for (i = 0; i < s->n_frames && s->frames && s->frames[i].buf; i++)
av_frame_free(&s->frames[i].buf);
av_freep(&s->frames);
av_freep(&s->thread_histogram);
}
static int request_frame(AVFilterLink *link)
{
AVFilterContext *ctx = link->src;
ThumbContext *s = ctx->priv;
int ret = ff_request_frame(ctx->inputs[0]);
if (ret == AVERROR_EOF && s->n) {
ret = ff_filter_frame(link, get_best_frame(ctx));
if (ret < 0)
return ret;
ret = AVERROR_EOF;
}
if (ret < 0)
return ret;
return 0;
}
static int config_props(AVFilterLink *inlink)
{
AVFilterContext *ctx = inlink->dst;
ThumbContext *s = ctx->priv;
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
s->nb_threads = ff_filter_get_nb_threads(ctx);
s->thread_histogram = av_calloc(HIST_SIZE, s->nb_threads * sizeof(*s->thread_histogram));
if (!s->thread_histogram)
return AVERROR(ENOMEM);
s->tb = inlink->time_base;
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;
return 0;
}
static const enum AVPixelFormat pix_fmts[] = {
AV_PIX_FMT_RGB24, AV_PIX_FMT_BGR24,
AV_PIX_FMT_RGBA, AV_PIX_FMT_BGRA,
AV_PIX_FMT_RGB0, AV_PIX_FMT_BGR0,
AV_PIX_FMT_ABGR, AV_PIX_FMT_ARGB,
AV_PIX_FMT_0BGR, AV_PIX_FMT_0RGB,
AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P,
AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P,
AV_PIX_FMT_YUV440P, AV_PIX_FMT_YUV444P,
AV_PIX_FMT_YUVJ420P, AV_PIX_FMT_YUVJ422P,
AV_PIX_FMT_YUVJ440P, AV_PIX_FMT_YUVJ444P,
AV_PIX_FMT_YUVJ411P,
AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUVA444P,
AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRAP,
AV_PIX_FMT_NONE
};
static const AVFilterPad thumbnail_inputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_props,
.filter_frame = filter_frame,
},
};
static const AVFilterPad thumbnail_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.request_frame = request_frame,
},
};
const AVFilter ff_vf_thumbnail = {
.name = "thumbnail",
.description = NULL_IF_CONFIG_SMALL("Select the most representative frame in a given sequence of consecutive frames."),
.priv_size = sizeof(ThumbContext),
.init = init,
.uninit = uninit,
FILTER_INPUTS(thumbnail_inputs),
FILTER_OUTPUTS(thumbnail_outputs),
FILTER_PIXFMTS_ARRAY(pix_fmts),
.priv_class = &thumbnail_class,
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC |
AVFILTER_FLAG_SLICE_THREADS,
};