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FFmpeg/libavfilter/af_astats.c
Paul B Mahol 2a7f056d88 avfilter/af_astats: do not clear previous sample value
Should help when using reset=1 and metadata=1

Signed-off-by: Paul B Mahol <onemda@gmail.com>
2016-02-26 11:12:45 +01:00

431 lines
15 KiB
C

/*
* Copyright (c) 2009 Rob Sykes <robs@users.sourceforge.net>
* Copyright (c) 2013 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/opt.h"
#include "audio.h"
#include "avfilter.h"
#include "internal.h"
typedef struct ChannelStats {
double last;
double sigma_x, sigma_x2;
double avg_sigma_x2, min_sigma_x2, max_sigma_x2;
double min, max;
double min_run, max_run;
double min_runs, max_runs;
double min_diff, max_diff;
double diff1_sum;
uint64_t mask;
uint64_t min_count, max_count;
uint64_t nb_samples;
} ChannelStats;
typedef struct {
const AVClass *class;
ChannelStats *chstats;
int nb_channels;
uint64_t tc_samples;
double time_constant;
double mult;
int metadata;
int reset_count;
int nb_frames;
} AudioStatsContext;
#define OFFSET(x) offsetof(AudioStatsContext, x)
#define FLAGS AV_OPT_FLAG_AUDIO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
static const AVOption astats_options[] = {
{ "length", "set the window length", OFFSET(time_constant), AV_OPT_TYPE_DOUBLE, {.dbl=.05}, .01, 10, FLAGS },
{ "metadata", "inject metadata in the filtergraph", OFFSET(metadata), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS },
{ "reset", "recalculate stats after this many frames", OFFSET(reset_count), AV_OPT_TYPE_INT, {.i64=0}, 0, INT_MAX, FLAGS },
{ NULL }
};
AVFILTER_DEFINE_CLASS(astats);
static int query_formats(AVFilterContext *ctx)
{
AVFilterFormats *formats;
AVFilterChannelLayouts *layouts;
static const enum AVSampleFormat sample_fmts[] = {
AV_SAMPLE_FMT_DBL, AV_SAMPLE_FMT_DBLP,
AV_SAMPLE_FMT_NONE
};
int ret;
layouts = ff_all_channel_counts();
if (!layouts)
return AVERROR(ENOMEM);
ret = ff_set_common_channel_layouts(ctx, layouts);
if (ret < 0)
return ret;
formats = ff_make_format_list(sample_fmts);
if (!formats)
return AVERROR(ENOMEM);
ret = ff_set_common_formats(ctx, formats);
if (ret < 0)
return ret;
formats = ff_all_samplerates();
if (!formats)
return AVERROR(ENOMEM);
return ff_set_common_samplerates(ctx, formats);
}
static void reset_stats(AudioStatsContext *s)
{
int c;
for (c = 0; c < s->nb_channels; c++) {
ChannelStats *p = &s->chstats[c];
p->min = p->min_sigma_x2 = DBL_MAX;
p->max = p->max_sigma_x2 = DBL_MIN;
p->min_diff = DBL_MAX;
p->max_diff = DBL_MIN;
p->sigma_x = 0;
p->sigma_x2 = 0;
p->avg_sigma_x2 = 0;
p->min_sigma_x2 = 0;
p->max_sigma_x2 = 0;
p->min_run = 0;
p->max_run = 0;
p->min_runs = 0;
p->max_runs = 0;
p->diff1_sum = 0;
p->mask = 0;
p->min_count = 0;
p->max_count = 0;
p->nb_samples = 0;
}
}
static int config_output(AVFilterLink *outlink)
{
AudioStatsContext *s = outlink->src->priv;
s->chstats = av_calloc(sizeof(*s->chstats), outlink->channels);
if (!s->chstats)
return AVERROR(ENOMEM);
s->nb_channels = outlink->channels;
s->mult = exp((-1 / s->time_constant / outlink->sample_rate));
s->tc_samples = 5 * s->time_constant * outlink->sample_rate + .5;
s->nb_frames = 0;
reset_stats(s);
return 0;
}
static unsigned bit_depth(uint64_t mask)
{
unsigned result = 64;
for (; result && !(mask & 1); --result, mask >>= 1);
return result;
}
static inline void update_stat(AudioStatsContext *s, ChannelStats *p, double d)
{
if (d < p->min) {
p->min = d;
p->min_run = 1;
p->min_runs = 0;
p->min_count = 1;
} else if (d == p->min) {
p->min_count++;
p->min_run = d == p->last ? p->min_run + 1 : 1;
} else if (p->last == p->min) {
p->min_runs += p->min_run * p->min_run;
}
if (d > p->max) {
p->max = d;
p->max_run = 1;
p->max_runs = 0;
p->max_count = 1;
} else if (d == p->max) {
p->max_count++;
p->max_run = d == p->last ? p->max_run + 1 : 1;
} else if (p->last == p->max) {
p->max_runs += p->max_run * p->max_run;
}
p->sigma_x += d;
p->sigma_x2 += d * d;
p->avg_sigma_x2 = p->avg_sigma_x2 * s->mult + (1.0 - s->mult) * d * d;
p->min_diff = FFMIN(p->min_diff, fabs(d - p->last));
p->max_diff = FFMAX(p->max_diff, fabs(d - p->last));
p->diff1_sum += fabs(d - p->last);
p->last = d;
p->mask |= llrint(d * (UINT64_C(1) << 63));
if (p->nb_samples >= s->tc_samples) {
p->max_sigma_x2 = FFMAX(p->max_sigma_x2, p->avg_sigma_x2);
p->min_sigma_x2 = FFMIN(p->min_sigma_x2, p->avg_sigma_x2);
}
p->nb_samples++;
}
static void set_meta(AVDictionary **metadata, int chan, const char *key,
const char *fmt, double val)
{
uint8_t value[128];
uint8_t key2[128];
snprintf(value, sizeof(value), fmt, val);
if (chan)
snprintf(key2, sizeof(key2), "lavfi.astats.%d.%s", chan, key);
else
snprintf(key2, sizeof(key2), "lavfi.astats.%s", key);
av_dict_set(metadata, key2, value, 0);
}
#define LINEAR_TO_DB(x) (log10(x) * 20)
static void set_metadata(AudioStatsContext *s, AVDictionary **metadata)
{
uint64_t mask = 0, min_count = 0, max_count = 0, nb_samples = 0;
double min_runs = 0, max_runs = 0,
min = DBL_MAX, max = DBL_MIN, min_diff = DBL_MAX, max_diff = 0,
max_sigma_x = 0,
diff1_sum = 0,
sigma_x = 0,
sigma_x2 = 0,
min_sigma_x2 = DBL_MAX,
max_sigma_x2 = DBL_MIN;
int c;
for (c = 0; c < s->nb_channels; c++) {
ChannelStats *p = &s->chstats[c];
if (p->nb_samples < s->tc_samples)
p->min_sigma_x2 = p->max_sigma_x2 = p->sigma_x2 / p->nb_samples;
min = FFMIN(min, p->min);
max = FFMAX(max, p->max);
min_diff = FFMIN(min_diff, p->min_diff);
max_diff = FFMAX(max_diff, p->max_diff);
diff1_sum += p->diff1_sum,
min_sigma_x2 = FFMIN(min_sigma_x2, p->min_sigma_x2);
max_sigma_x2 = FFMAX(max_sigma_x2, p->max_sigma_x2);
sigma_x += p->sigma_x;
sigma_x2 += p->sigma_x2;
min_count += p->min_count;
max_count += p->max_count;
min_runs += p->min_runs;
max_runs += p->max_runs;
mask |= p->mask;
nb_samples += p->nb_samples;
if (fabs(p->sigma_x) > fabs(max_sigma_x))
max_sigma_x = p->sigma_x;
set_meta(metadata, c + 1, "DC_offset", "%f", p->sigma_x / p->nb_samples);
set_meta(metadata, c + 1, "Min_level", "%f", p->min);
set_meta(metadata, c + 1, "Max_level", "%f", p->max);
set_meta(metadata, c + 1, "Min_difference", "%f", p->min_diff);
set_meta(metadata, c + 1, "Max_difference", "%f", p->max_diff);
set_meta(metadata, c + 1, "Mean_difference", "%f", p->diff1_sum / (p->nb_samples - 1));
set_meta(metadata, c + 1, "Peak_level", "%f", LINEAR_TO_DB(FFMAX(-p->min, p->max)));
set_meta(metadata, c + 1, "RMS_level", "%f", LINEAR_TO_DB(sqrt(p->sigma_x2 / p->nb_samples)));
set_meta(metadata, c + 1, "RMS_peak", "%f", LINEAR_TO_DB(sqrt(p->max_sigma_x2)));
set_meta(metadata, c + 1, "RMS_trough", "%f", LINEAR_TO_DB(sqrt(p->min_sigma_x2)));
set_meta(metadata, c + 1, "Crest_factor", "%f", p->sigma_x2 ? FFMAX(-p->min, p->max) / sqrt(p->sigma_x2 / p->nb_samples) : 1);
set_meta(metadata, c + 1, "Flat_factor", "%f", LINEAR_TO_DB((p->min_runs + p->max_runs) / (p->min_count + p->max_count)));
set_meta(metadata, c + 1, "Peak_count", "%f", (float)(p->min_count + p->max_count));
set_meta(metadata, c + 1, "Bit_depth", "%f", bit_depth(p->mask));
}
set_meta(metadata, 0, "Overall.DC_offset", "%f", max_sigma_x / (nb_samples / s->nb_channels));
set_meta(metadata, 0, "Overall.Min_level", "%f", min);
set_meta(metadata, 0, "Overall.Max_level", "%f", max);
set_meta(metadata, 0, "Overall.Min_difference", "%f", min_diff);
set_meta(metadata, 0, "Overall.Max_difference", "%f", max_diff);
set_meta(metadata, 0, "Overall.Mean_difference", "%f", diff1_sum / (nb_samples - s->nb_channels));
set_meta(metadata, 0, "Overall.Peak_level", "%f", LINEAR_TO_DB(FFMAX(-min, max)));
set_meta(metadata, 0, "Overall.RMS_level", "%f", LINEAR_TO_DB(sqrt(sigma_x2 / nb_samples)));
set_meta(metadata, 0, "Overall.RMS_peak", "%f", LINEAR_TO_DB(sqrt(max_sigma_x2)));
set_meta(metadata, 0, "Overall.RMS_trough", "%f", LINEAR_TO_DB(sqrt(min_sigma_x2)));
set_meta(metadata, 0, "Overall.Flat_factor", "%f", LINEAR_TO_DB((min_runs + max_runs) / (min_count + max_count)));
set_meta(metadata, 0, "Overall.Peak_count", "%f", (float)(min_count + max_count) / (double)s->nb_channels);
set_meta(metadata, 0, "Overall.Bit_depth", "%f", bit_depth(mask));
set_meta(metadata, 0, "Overall.Number_of_samples", "%f", nb_samples / s->nb_channels);
}
static int filter_frame(AVFilterLink *inlink, AVFrame *buf)
{
AudioStatsContext *s = inlink->dst->priv;
AVDictionary **metadata = avpriv_frame_get_metadatap(buf);
const int channels = s->nb_channels;
const double *src;
int i, c;
if (s->reset_count > 0) {
if (s->nb_frames >= s->reset_count) {
reset_stats(s);
s->nb_frames = 0;
}
s->nb_frames++;
}
switch (inlink->format) {
case AV_SAMPLE_FMT_DBLP:
for (c = 0; c < channels; c++) {
ChannelStats *p = &s->chstats[c];
src = (const double *)buf->extended_data[c];
for (i = 0; i < buf->nb_samples; i++, src++)
update_stat(s, p, *src);
}
break;
case AV_SAMPLE_FMT_DBL:
src = (const double *)buf->extended_data[0];
for (i = 0; i < buf->nb_samples; i++) {
for (c = 0; c < channels; c++, src++)
update_stat(s, &s->chstats[c], *src);
}
break;
}
if (s->metadata)
set_metadata(s, metadata);
return ff_filter_frame(inlink->dst->outputs[0], buf);
}
static void print_stats(AVFilterContext *ctx)
{
AudioStatsContext *s = ctx->priv;
uint64_t mask = 0, min_count = 0, max_count = 0, nb_samples = 0;
double min_runs = 0, max_runs = 0,
min = DBL_MAX, max = DBL_MIN, min_diff = DBL_MAX, max_diff = 0,
max_sigma_x = 0,
diff1_sum = 0,
sigma_x = 0,
sigma_x2 = 0,
min_sigma_x2 = DBL_MAX,
max_sigma_x2 = DBL_MIN;
int c;
for (c = 0; c < s->nb_channels; c++) {
ChannelStats *p = &s->chstats[c];
if (p->nb_samples < s->tc_samples)
p->min_sigma_x2 = p->max_sigma_x2 = p->sigma_x2 / p->nb_samples;
min = FFMIN(min, p->min);
max = FFMAX(max, p->max);
min_diff = FFMIN(min_diff, p->min_diff);
max_diff = FFMAX(max_diff, p->max_diff);
diff1_sum += p->diff1_sum,
min_sigma_x2 = FFMIN(min_sigma_x2, p->min_sigma_x2);
max_sigma_x2 = FFMAX(max_sigma_x2, p->max_sigma_x2);
sigma_x += p->sigma_x;
sigma_x2 += p->sigma_x2;
min_count += p->min_count;
max_count += p->max_count;
min_runs += p->min_runs;
max_runs += p->max_runs;
mask |= p->mask;
nb_samples += p->nb_samples;
if (fabs(p->sigma_x) > fabs(max_sigma_x))
max_sigma_x = p->sigma_x;
av_log(ctx, AV_LOG_INFO, "Channel: %d\n", c + 1);
av_log(ctx, AV_LOG_INFO, "DC offset: %f\n", p->sigma_x / p->nb_samples);
av_log(ctx, AV_LOG_INFO, "Min level: %f\n", p->min);
av_log(ctx, AV_LOG_INFO, "Max level: %f\n", p->max);
av_log(ctx, AV_LOG_INFO, "Min difference: %f\n", p->min_diff);
av_log(ctx, AV_LOG_INFO, "Max difference: %f\n", p->max_diff);
av_log(ctx, AV_LOG_INFO, "Mean difference: %f\n", p->diff1_sum / (p->nb_samples - 1));
av_log(ctx, AV_LOG_INFO, "Peak level dB: %f\n", LINEAR_TO_DB(FFMAX(-p->min, p->max)));
av_log(ctx, AV_LOG_INFO, "RMS level dB: %f\n", LINEAR_TO_DB(sqrt(p->sigma_x2 / p->nb_samples)));
av_log(ctx, AV_LOG_INFO, "RMS peak dB: %f\n", LINEAR_TO_DB(sqrt(p->max_sigma_x2)));
if (p->min_sigma_x2 != 1)
av_log(ctx, AV_LOG_INFO, "RMS trough dB: %f\n",LINEAR_TO_DB(sqrt(p->min_sigma_x2)));
av_log(ctx, AV_LOG_INFO, "Crest factor: %f\n", p->sigma_x2 ? FFMAX(-p->min, p->max) / sqrt(p->sigma_x2 / p->nb_samples) : 1);
av_log(ctx, AV_LOG_INFO, "Flat factor: %f\n", LINEAR_TO_DB((p->min_runs + p->max_runs) / (p->min_count + p->max_count)));
av_log(ctx, AV_LOG_INFO, "Peak count: %"PRId64"\n", p->min_count + p->max_count);
av_log(ctx, AV_LOG_INFO, "Bit depth: %u\n", bit_depth(p->mask));
}
av_log(ctx, AV_LOG_INFO, "Overall\n");
av_log(ctx, AV_LOG_INFO, "DC offset: %f\n", max_sigma_x / (nb_samples / s->nb_channels));
av_log(ctx, AV_LOG_INFO, "Min level: %f\n", min);
av_log(ctx, AV_LOG_INFO, "Max level: %f\n", max);
av_log(ctx, AV_LOG_INFO, "Min difference: %f\n", min_diff);
av_log(ctx, AV_LOG_INFO, "Max difference: %f\n", max_diff);
av_log(ctx, AV_LOG_INFO, "Mean difference: %f\n", diff1_sum / (nb_samples - s->nb_channels));
av_log(ctx, AV_LOG_INFO, "Peak level dB: %f\n", LINEAR_TO_DB(FFMAX(-min, max)));
av_log(ctx, AV_LOG_INFO, "RMS level dB: %f\n", LINEAR_TO_DB(sqrt(sigma_x2 / nb_samples)));
av_log(ctx, AV_LOG_INFO, "RMS peak dB: %f\n", LINEAR_TO_DB(sqrt(max_sigma_x2)));
if (min_sigma_x2 != 1)
av_log(ctx, AV_LOG_INFO, "RMS trough dB: %f\n", LINEAR_TO_DB(sqrt(min_sigma_x2)));
av_log(ctx, AV_LOG_INFO, "Flat factor: %f\n", LINEAR_TO_DB((min_runs + max_runs) / (min_count + max_count)));
av_log(ctx, AV_LOG_INFO, "Peak count: %f\n", (min_count + max_count) / (double)s->nb_channels);
av_log(ctx, AV_LOG_INFO, "Bit depth: %u\n", bit_depth(mask));
av_log(ctx, AV_LOG_INFO, "Number of samples: %"PRId64"\n", nb_samples / s->nb_channels);
}
static av_cold void uninit(AVFilterContext *ctx)
{
AudioStatsContext *s = ctx->priv;
if (s->nb_channels)
print_stats(ctx);
av_freep(&s->chstats);
}
static const AVFilterPad astats_inputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_AUDIO,
.filter_frame = filter_frame,
},
{ NULL }
};
static const AVFilterPad astats_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_AUDIO,
.config_props = config_output,
},
{ NULL }
};
AVFilter ff_af_astats = {
.name = "astats",
.description = NULL_IF_CONFIG_SMALL("Show time domain statistics about audio frames."),
.query_formats = query_formats,
.priv_size = sizeof(AudioStatsContext),
.priv_class = &astats_class,
.uninit = uninit,
.inputs = astats_inputs,
.outputs = astats_outputs,
};