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/*
* Copyright (c) 2015 Stupeflix
* Copyright (c) 2022 Clément Bœsch <u pkh me>
*
* 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
* Generate one palette for a whole video stream.
*/
#include "libavutil/avassert.h"
#include "libavutil/internal.h"
#include "libavutil/opt.h"
#include "libavutil/intreadwrite.h"
#include "avfilter.h"
#include "formats.h"
#include "internal.h"
#include "palette.h"
#include "video.h"
/* Reference a color and how much it's used */
struct color_ref {
uint32_t color;
struct Lab lab;
int64_t count;
};
/* Store a range of colors */
struct range_box {
uint32_t color; // average color
struct Lab avg; // average color in perceptual OkLab space
int major_axis; // best axis candidate for cutting the box
int64_t weight; // sum of all the weights of the colors
int64_t cut_score; // how likely the box is to be cut down (higher implying more likely)
int start; // index in PaletteGenContext->refs
int len; // number of referenced colors
int sorted_by; // whether range of colors is sorted by red (0), green (1) or blue (2)
};
struct hist_node {
struct color_ref *entries;
int nb_entries;
};
enum {
STATS_MODE_ALL_FRAMES,
STATS_MODE_DIFF_FRAMES,
STATS_MODE_SINGLE_FRAMES,
NB_STATS_MODE
};
#define HIST_SIZE (1<<15)
typedef struct PaletteGenContext {
const AVClass *class;
int max_colors;
int reserve_transparent;
int stats_mode;
AVFrame *prev_frame; // previous frame used for the diff stats_mode
struct hist_node histogram[HIST_SIZE]; // histogram/hashtable of the colors
struct color_ref **refs; // references of all the colors used in the stream
int nb_refs; // number of color references (or number of different colors)
struct range_box boxes[256]; // define the segmentation of the colorspace (the final palette)
int nb_boxes; // number of boxes (increase will segmenting them)
int palette_pushed; // if the palette frame is pushed into the outlink or not
uint8_t transparency_color[4]; // background color for transparency
} PaletteGenContext;
#define OFFSET(x) offsetof(PaletteGenContext, x)
#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
static const AVOption palettegen_options[] = {
{ "max_colors", "set the maximum number of colors to use in the palette", OFFSET(max_colors), AV_OPT_TYPE_INT, {.i64=256}, 2, 256, FLAGS },
{ "reserve_transparent", "reserve a palette entry for transparency", OFFSET(reserve_transparent), AV_OPT_TYPE_BOOL, {.i64=1}, 0, 1, FLAGS },
{ "transparency_color", "set a background color for transparency", OFFSET(transparency_color), AV_OPT_TYPE_COLOR, {.str="lime"}, 0, 0, FLAGS },
{ "stats_mode", "set statistics mode", OFFSET(stats_mode), AV_OPT_TYPE_INT, {.i64=STATS_MODE_ALL_FRAMES}, 0, NB_STATS_MODE-1, FLAGS, "mode" },
{ "full", "compute full frame histograms", 0, AV_OPT_TYPE_CONST, {.i64=STATS_MODE_ALL_FRAMES}, INT_MIN, INT_MAX, FLAGS, "mode" },
{ "diff", "compute histograms only for the part that differs from previous frame", 0, AV_OPT_TYPE_CONST, {.i64=STATS_MODE_DIFF_FRAMES}, INT_MIN, INT_MAX, FLAGS, "mode" },
{ "single", "compute new histogram for each frame", 0, AV_OPT_TYPE_CONST, {.i64=STATS_MODE_SINGLE_FRAMES}, INT_MIN, INT_MAX, FLAGS, "mode" },
{ NULL }
};
AVFILTER_DEFINE_CLASS(palettegen);
static int query_formats(AVFilterContext *ctx)
{
static const enum AVPixelFormat in_fmts[] = {AV_PIX_FMT_RGB32, AV_PIX_FMT_NONE};
static const enum AVPixelFormat out_fmts[] = {AV_PIX_FMT_RGB32, AV_PIX_FMT_NONE};
int ret;
if ((ret = ff_formats_ref(ff_make_format_list(in_fmts) , &ctx->inputs[0]->outcfg.formats)) < 0)
return ret;
if ((ret = ff_formats_ref(ff_make_format_list(out_fmts), &ctx->outputs[0]->incfg.formats)) < 0)
return ret;
return 0;
}
typedef int (*cmp_func)(const void *, const void *);
#define DECLARE_CMP_FUNC(k0, k1, k2) \
static int cmp_##k0##k1##k2(const void *pa, const void *pb) \
{ \
const struct color_ref * const *a = pa; \
const struct color_ref * const *b = pb; \
const int c0 = FFDIFFSIGN((*a)->lab.k0, (*b)->lab.k0); \
const int c1 = FFDIFFSIGN((*a)->lab.k1, (*b)->lab.k1); \
const int c2 = FFDIFFSIGN((*a)->lab.k2, (*b)->lab.k2); \
return c0 ? c0 : c1 ? c1 : c2; \
}
DECLARE_CMP_FUNC(L, a, b)
DECLARE_CMP_FUNC(L, b, a)
DECLARE_CMP_FUNC(a, L, b)
DECLARE_CMP_FUNC(a, b, L)
DECLARE_CMP_FUNC(b, L, a)
DECLARE_CMP_FUNC(b, a, L)
enum { ID_XYZ, ID_XZY, ID_ZXY, ID_YXZ, ID_ZYX, ID_YZX };
static const char * const sortstr[] = { "Lab", "Lba", "bLa", "aLb", "baL", "abL" };
static const cmp_func cmp_funcs[] = {
[ID_XYZ] = cmp_Lab,
[ID_XZY] = cmp_Lba,
[ID_ZXY] = cmp_bLa,
[ID_YXZ] = cmp_aLb,
[ID_ZYX] = cmp_baL,
[ID_YZX] = cmp_abL,
};
/*
* Return an identifier for the order of x, y, z (from higher to lower),
* preferring x over y and y over z in case of equality.
*/
static int sort3id(int64_t x, int64_t y, int64_t z)
{
if (x >= y) {
if (y >= z) return ID_XYZ;
if (x >= z) return ID_XZY;
return ID_ZXY;
}
if (x >= z) return ID_YXZ;
if (y >= z) return ID_YZX;
return ID_ZYX;
}
/**
* Simple color comparison for sorting the final palette
*/
static int cmp_color(const void *a, const void *b)
{
const struct range_box *box1 = a;
const struct range_box *box2 = b;
return FFDIFFSIGN(box1->color, box2->color);
}
static void compute_box_stats(PaletteGenContext *s, struct range_box *box)
{
int64_t er2[3] = {0};
/* Compute average color */
int64_t sL = 0, sa = 0, sb = 0;
box->weight = 0;
for (int i = box->start; i < box->start + box->len; i++) {
const struct color_ref *ref = s->refs[i];
sL += ref->lab.L * ref->count;
sa += ref->lab.a * ref->count;
sb += ref->lab.b * ref->count;
box->weight += ref->count;
}
box->avg.L = sL / box->weight;
box->avg.a = sa / box->weight;
box->avg.b = sb / box->weight;
/* Compute squared error of each color channel */
for (int i = box->start; i < box->start + box->len; i++) {
const struct color_ref *ref = s->refs[i];
const int64_t dL = ref->lab.L - box->avg.L;
const int64_t da = ref->lab.a - box->avg.a;
const int64_t db = ref->lab.b - box->avg.b;
er2[0] += dL * dL * ref->count;
er2[1] += da * da * ref->count;
er2[2] += db * db * ref->count;
}
/* Define the best axis candidate for cutting the box */
box->major_axis = sort3id(er2[0], er2[1], er2[2]);
/* The box that has the axis with the biggest error amongst all boxes will but cut down */
box->cut_score = FFMAX3(er2[0], er2[1], er2[2]);
}
/**
* Find the next box to split: pick the one with the highest cut score
*/
static int get_next_box_id_to_split(PaletteGenContext *s)
{
int best_box_id = -1;
int64_t max_score = -1;
if (s->nb_boxes == s->max_colors - s->reserve_transparent)
return -1;
for (int box_id = 0; box_id < s->nb_boxes; box_id++) {
const struct range_box *box = &s->boxes[box_id];
if (s->boxes[box_id].len >= 2 && box->cut_score > max_score) {
best_box_id = box_id;
max_score = box->cut_score;
}
}
return best_box_id;
}
/**
* Split given box in two at position n. The original box becomes the left part
* of the split, and the new index box is the right part.
*/
static void split_box(PaletteGenContext *s, struct range_box *box, int n)
{
struct range_box *new_box = &s->boxes[s->nb_boxes++];
new_box->start = n + 1;
new_box->len = box->start + box->len - new_box->start;
new_box->sorted_by = box->sorted_by;
box->len -= new_box->len;
av_assert0(box->len >= 1);
av_assert0(new_box->len >= 1);
compute_box_stats(s, box);
compute_box_stats(s, new_box);
}
/**
* Write the palette into the output frame.
*/
static void write_palette(AVFilterContext *ctx, AVFrame *out)
{
const PaletteGenContext *s = ctx->priv;
int box_id = 0;
uint32_t *pal = (uint32_t *)out->data[0];
const int pal_linesize = out->linesize[0] >> 2;
uint32_t last_color = 0;
for (int y = 0; y < out->height; y++) {
for (int x = 0; x < out->width; x++) {
if (box_id < s->nb_boxes) {
pal[x] = s->boxes[box_id++].color;
if ((x || y) && pal[x] == last_color)
av_log(ctx, AV_LOG_WARNING, "Duped color: %08"PRIX32"\n", pal[x]);
last_color = pal[x];
} else {
pal[x] = last_color; // pad with last color
}
}
pal += pal_linesize;
}
if (s->reserve_transparent) {
av_assert0(s->nb_boxes < 256);
pal[out->width - pal_linesize - 1] = AV_RB32(&s->transparency_color) >> 8;
}
}
/**
* Crawl the histogram to get all the defined colors, and create a linear list
* of them (each color reference entry is a pointer to the value in the
* histogram/hash table).
*/
static struct color_ref **load_color_refs(const struct hist_node *hist, int nb_refs)
{
int k = 0;
struct color_ref **refs = av_malloc_array(nb_refs, sizeof(*refs));
if (!refs)
return NULL;
for (int j = 0; j < HIST_SIZE; j++) {
const struct hist_node *node = &hist[j];
for (int i = 0; i < node->nb_entries; i++)
refs[k++] = &node->entries[i];
}
return refs;
}
static double set_colorquant_ratio_meta(AVFrame *out, int nb_out, int nb_in)
{
char buf[32];
const double ratio = (double)nb_out / nb_in;
snprintf(buf, sizeof(buf), "%f", ratio);
av_dict_set(&out->metadata, "lavfi.color_quant_ratio", buf, 0);
return ratio;
}
/**
* Main function implementing the Median Cut Algorithm defined by Paul Heckbert
* in Color Image Quantization for Frame Buffer Display (1982)
*/
static AVFrame *get_palette_frame(AVFilterContext *ctx)
{
AVFrame *out;
PaletteGenContext *s = ctx->priv;
AVFilterLink *outlink = ctx->outputs[0];
double ratio;
int box_id = 0;
struct range_box *box;
/* reference only the used colors from histogram */
s->refs = load_color_refs(s->histogram, s->nb_refs);
if (!s->refs) {
av_log(ctx, AV_LOG_ERROR, "Unable to allocate references for %d different colors\n", s->nb_refs);
return NULL;
}
/* create the palette frame */
out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
if (!out)
return NULL;
out->pts = 0;
/* set first box for 0..nb_refs */
box = &s->boxes[box_id];
box->len = s->nb_refs;
box->sorted_by = -1;
compute_box_stats(s, box);
s->nb_boxes = 1;
while (box && box->len > 1) {
int i;
int64_t median, weight;
ff_dlog(ctx, "box #%02X [%6d..%-6d] (%6d) w:%-6"PRIu64" sort by %s (already sorted:%c) ",
box_id, box->start, box->start + box->len - 1, box->len, box->weight,
sortstr[box->major_axis], box->sorted_by == box->major_axis ? 'y':'n');
/* sort the range by its major axis if it's not already sorted */
if (box->sorted_by != box->major_axis) {
cmp_func cmpf = cmp_funcs[box->major_axis];
qsort(&s->refs[box->start], box->len, sizeof(struct color_ref *), cmpf);
box->sorted_by = box->major_axis;
}
/* locate the median where to split */
median = (box->weight + 1) >> 1;
weight = 0;
/* if you have 2 boxes, the maximum is actually #0: you must have at
* least 1 color on each side of the split, hence the -2 */
for (i = box->start; i < box->start + box->len - 2; i++) {
weight += s->refs[i]->count;
if (weight > median)
break;
}
ff_dlog(ctx, "split @ i=%-6d with w=%-6"PRIu64" (target=%6"PRIu64")\n", i, weight, median);
split_box(s, box, i);
box_id = get_next_box_id_to_split(s);
box = box_id >= 0 ? &s->boxes[box_id] : NULL;
}
ratio = set_colorquant_ratio_meta(out, s->nb_boxes, s->nb_refs);
av_log(ctx, AV_LOG_INFO, "%d%s colors generated out of %d colors; ratio=%f\n",
s->nb_boxes, s->reserve_transparent ? "(+1)" : "", s->nb_refs, ratio);
for (int i = 0; i < s->nb_boxes; i++)
s->boxes[i].color = 0xffU<<24 | ff_oklab_int_to_srgb_u8(s->boxes[i].avg);
qsort(s->boxes, s->nb_boxes, sizeof(*s->boxes), cmp_color);
write_palette(ctx, out);
return out;
}
/**
* Locate the color in the hash table and increment its counter.
*/
static int color_inc(struct hist_node *hist, uint32_t color)
{
const uint32_t hash = ff_lowbias32(color) & (HIST_SIZE - 1);
struct hist_node *node = &hist[hash];
struct color_ref *e;
for (int i = 0; i < node->nb_entries; i++) {
e = &node->entries[i];
if (e->color == color) {
e->count++;
return 0;
}
}
e = av_dynarray2_add((void**)&node->entries, &node->nb_entries,
sizeof(*node->entries), NULL);
if (!e)
return AVERROR(ENOMEM);
e->color = color;
e->lab = ff_srgb_u8_to_oklab_int(color);
e->count = 1;
return 1;
}
/**
* Update histogram when pixels differ from previous frame.
*/
static int update_histogram_diff(struct hist_node *hist,
const AVFrame *f1, const AVFrame *f2)
{
int x, y, ret, nb_diff_colors = 0;
for (y = 0; y < f1->height; y++) {
const uint32_t *p = (const uint32_t *)(f1->data[0] + y*f1->linesize[0]);
const uint32_t *q = (const uint32_t *)(f2->data[0] + y*f2->linesize[0]);
for (x = 0; x < f1->width; x++) {
if (p[x] == q[x])
continue;
ret = color_inc(hist, p[x]);
if (ret < 0)
return ret;
nb_diff_colors += ret;
}
}
return nb_diff_colors;
}
/**
* Simple histogram of the frame.
*/
static int update_histogram_frame(struct hist_node *hist, const AVFrame *f)
{
int x, y, ret, nb_diff_colors = 0;
for (y = 0; y < f->height; y++) {
const uint32_t *p = (const uint32_t *)(f->data[0] + y*f->linesize[0]);
for (x = 0; x < f->width; x++) {
ret = color_inc(hist, p[x]);
if (ret < 0)
return ret;
nb_diff_colors += ret;
}
}
return nb_diff_colors;
}
/**
* Update the histogram for each passing frame. No frame will be pushed here.
*/
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
{
AVFilterContext *ctx = inlink->dst;
PaletteGenContext *s = ctx->priv;
int ret;
if (in->color_trc != AVCOL_TRC_UNSPECIFIED && in->color_trc != AVCOL_TRC_IEC61966_2_1)
av_log(ctx, AV_LOG_WARNING, "The input frame is not in sRGB, colors may be off\n");
ret = s->prev_frame ? update_histogram_diff(s->histogram, s->prev_frame, in)
: update_histogram_frame(s->histogram, in);
if (ret > 0)
s->nb_refs += ret;
if (s->stats_mode == STATS_MODE_DIFF_FRAMES) {
av_frame_free(&s->prev_frame);
s->prev_frame = in;
} else if (s->stats_mode == STATS_MODE_SINGLE_FRAMES && s->nb_refs > 0) {
AVFrame *out;
int i;
out = get_palette_frame(ctx);
out->pts = in->pts;
av_frame_free(&in);
ret = ff_filter_frame(ctx->outputs[0], out);
for (i = 0; i < HIST_SIZE; i++)
av_freep(&s->histogram[i].entries);
av_freep(&s->refs);
s->nb_refs = 0;
s->nb_boxes = 0;
memset(s->boxes, 0, sizeof(s->boxes));
memset(s->histogram, 0, sizeof(s->histogram));
} else {
av_frame_free(&in);
}
return ret;
}
/**
* Returns only one frame at the end containing the full palette.
*/
static int request_frame(AVFilterLink *outlink)
{
AVFilterContext *ctx = outlink->src;
AVFilterLink *inlink = ctx->inputs[0];
PaletteGenContext *s = ctx->priv;
int r;
r = ff_request_frame(inlink);
if (r == AVERROR_EOF && !s->palette_pushed && s->nb_refs && s->stats_mode != STATS_MODE_SINGLE_FRAMES) {
r = ff_filter_frame(outlink, get_palette_frame(ctx));
s->palette_pushed = 1;
return r;
}
return r;
}
/**
* The output is one simple 16x16 squared-pixels palette.
*/
static int config_output(AVFilterLink *outlink)
{
outlink->w = outlink->h = 16;
outlink->sample_aspect_ratio = av_make_q(1, 1);
return 0;
}
static int init(AVFilterContext *ctx)
{
PaletteGenContext* s = ctx->priv;
if (s->max_colors - s->reserve_transparent < 2) {
av_log(ctx, AV_LOG_ERROR, "max_colors=2 is only allowed without reserving a transparent color slot\n");
return AVERROR(EINVAL);
}
return 0;
}
static av_cold void uninit(AVFilterContext *ctx)
{
int i;
PaletteGenContext *s = ctx->priv;
for (i = 0; i < HIST_SIZE; i++)
av_freep(&s->histogram[i].entries);
av_freep(&s->refs);
av_frame_free(&s->prev_frame);
}
static const AVFilterPad palettegen_inputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.filter_frame = filter_frame,
},
};
static const AVFilterPad palettegen_outputs[] = {
{
.name = "default",
.type = AVMEDIA_TYPE_VIDEO,
.config_props = config_output,
.request_frame = request_frame,
},
};
const AVFilter ff_vf_palettegen = {
.name = "palettegen",
.description = NULL_IF_CONFIG_SMALL("Find the optimal palette for a given stream."),
.priv_size = sizeof(PaletteGenContext),
.init = init,
.uninit = uninit,
FILTER_INPUTS(palettegen_inputs),
FILTER_OUTPUTS(palettegen_outputs),
FILTER_QUERY_FUNC(query_formats),
.priv_class = &palettegen_class,
};
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