* 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 "internal.h"
#include "video.h"
+#define MAX_THREADS 16
+
typedef struct ConvolveContext {
const AVClass *class;
FFFrameSync fs;
- FFTContext *fft[4];
- FFTContext *ifft[4];
+ FFTContext *fft[4][MAX_THREADS];
+ FFTContext *ifft[4][MAX_THREADS];
int fft_bits[4];
int fft_len[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)
{ "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_CLASS(convolve, ConvolveContext, fs);
-
static int query_formats(AVFilterContext *ctx)
{
static const enum AVPixelFormat pixel_fmts_fftfilt[] = {
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_GRAY16,
+ 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
};
s->fft_bits[i] = fft_bits;
s->fft_len[i] = 1 << s->fft_bits[i];
- if (!(s->fft_hdata[i] = av_calloc(s->fft_len[i] + 1, s->fft_len[i] * sizeof(FFTComplex))))
+ if (!(s->fft_hdata[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(FFTComplex))))
return AVERROR(ENOMEM);
- if (!(s->fft_vdata[i] = av_calloc(s->fft_len[i] + 1, s->fft_len[i] * sizeof(FFTComplex))))
+ if (!(s->fft_vdata[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(FFTComplex))))
return AVERROR(ENOMEM);
- if (!(s->fft_hdata_impulse[i] = av_calloc(s->fft_len[i] + 1, s->fft_len[i] * sizeof(FFTComplex))))
+ if (!(s->fft_hdata_impulse[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(FFTComplex))))
return AVERROR(ENOMEM);
- if (!(s->fft_vdata_impulse[i] = av_calloc(s->fft_len[i] + 1, s->fft_len[i] * sizeof(FFTComplex))))
+ if (!(s->fft_vdata_impulse[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(FFTComplex))))
return AVERROR(ENOMEM);
}
return 0;
}
-static void fft_horizontal(ConvolveContext *s, FFTComplex *fft_hdata,
- AVFrame *in, int w, int h, int n, int plane, float scale)
+typedef struct ThreadData {
+ FFTComplex *hdata, *vdata;
+ int plane, n;
+} ThreadData;
+
+static int fft_horizontal(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
+{
+ ConvolveContext *s = ctx->priv;
+ ThreadData *td = arg;
+ FFTComplex *hdata = td->hdata;
+ 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++) {
+ av_fft_permute(s->fft[plane][jobnr], hdata + y * n);
+ av_fft_calc(s->fft[plane][jobnr], hdata + y * n);
+ }
+
+ return 0;
+}
+
+static void get_input(ConvolveContext *s, FFTComplex *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;
- for (y = 0; y < n; y++) {
- for (x = 0; x < n; x++) {
- fft_hdata[y * n + x].re = 0;
- fft_hdata[y * n + x].im = 0;
- }
- }
-
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 (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;
}
}
}
-
- for (y = 0; y < n; y++) {
- av_fft_permute(s->fft[plane], fft_hdata + y * n);
- av_fft_calc(s->fft[plane], fft_hdata + y * n);
- }
}
-static void fft_vertical(ConvolveContext *s, FFTComplex *fft_hdata, FFTComplex *fft_vdata,
- int n, int plane)
+static int fft_vertical(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
+ ConvolveContext *s = ctx->priv;
+ ThreadData *td = arg;
+ FFTComplex *hdata = td->hdata;
+ FFTComplex *vdata = td->vdata;
+ 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 = 0; y < n; y++) {
+ for (y = start; y < end; y++) {
for (x = 0; x < n; x++) {
- fft_vdata[y * n + x].re = fft_hdata[x * n + y].re;
- fft_vdata[y * n + x].im = fft_hdata[x * n + y].im;
+ vdata[y * n + x].re = hdata[x * n + y].re;
+ vdata[y * n + x].im = hdata[x * n + y].im;
}
- av_fft_permute(s->fft[plane], fft_vdata + y * n);
- av_fft_calc(s->fft[plane], fft_vdata + y * n);
+ av_fft_permute(s->fft[plane][jobnr], vdata + y * n);
+ av_fft_calc(s->fft[plane][jobnr], vdata + y * n);
}
+
+ return 0;
}
-static void ifft_vertical(ConvolveContext *s, int n, int plane)
+static int ifft_vertical(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
{
+ ConvolveContext *s = ctx->priv;
+ ThreadData *td = arg;
+ FFTComplex *hdata = td->hdata;
+ FFTComplex *vdata = td->vdata;
+ 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 = 0; y < n; y++) {
- av_fft_permute(s->ifft[plane], s->fft_vdata[plane] + y * n);
- av_fft_calc(s->ifft[plane], s->fft_vdata[plane] + y * n);
+ for (y = start; y < end; y++) {
+ av_fft_permute(s->ifft[plane][jobnr], vdata + y * n);
+ av_fft_calc(s->ifft[plane][jobnr], vdata + y * n);
for (x = 0; x < n; x++) {
- s->fft_hdata[plane][x * n + y].re = s->fft_vdata[plane][y * n + x].re;
- s->fft_hdata[plane][x * n + y].im = s->fft_vdata[plane][y * n + x].im;
+ hdata[x * n + y].re = vdata[y * n + x].re;
+ hdata[x * n + y].im = vdata[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;
+ FFTComplex *hdata = td->hdata;
+ 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++) {
+ av_fft_permute(s->ifft[plane][jobnr], hdata + y * n);
+ av_fft_calc(s->ifft[plane][jobnr], hdata + y * n);
+ }
+
+ return 0;
}
-static void ifft_horizontal(ConvolveContext *s, AVFrame *out,
- int w, int h, int n, int plane)
+static void get_output(ConvolveContext *s, FFTComplex *input, AVFrame *out,
+ int w, int h, int n, int plane, float scale)
{
- const float scale = 1.f / (n * n);
const int max = (1 << s->depth) - 1;
const int hh = h / 2;
const int hw = w / 2;
int y, x;
- for (y = 0; y < n; y++) {
- av_fft_permute(s->ifft[plane], s->fft_hdata[plane] + y * n);
- av_fft_calc(s->ifft[plane], s->fft_hdata[plane] + y * n);
- }
-
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(s->fft_hdata[plane][y * n + x].re * scale);
+ 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(s->fft_hdata[plane][y * n + n - hw + x].re * scale);
+ 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(s->fft_hdata[plane][(n - hh + y) * n + x].re * scale);
+ 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(s->fft_hdata[plane][(n - hh + y) * n + n - hw + x].re * scale);
+ 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(s->fft_hdata[plane][y * n + x].re * scale, 0, max);
+ 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(s->fft_hdata[plane][y * n + n - hw + x].re * scale, 0, max);
+ 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(s->fft_hdata[plane][(n - hh + y) * n + x].re * scale, 0, max);
+ 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(s->fft_hdata[plane][(n - hh + y) * n + n - hw + x].re * scale, 0, max);
+ 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;
+ FFTComplex *input = td->hdata;
+ FFTComplex *filter = td->vdata;
+ 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++) {
+ FFTSample 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;
+ FFTComplex *input = td->hdata;
+ FFTComplex *filter = td->vdata;
+ 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++) {
+ FFTSample 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)
return ff_filter_frame(outlink, mainpic);
for (plane = 0; plane < s->nb_planes; plane++) {
+ FFTComplex *filter = s->fft_vdata_impulse[plane];
+ FFTComplex *input = s->fft_vdata[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;
}
- fft_horizontal(s, s->fft_hdata[plane], mainpic, w, h, n, plane, 1.f);
- fft_vertical(s, s->fft_hdata[plane], s->fft_vdata[plane],
- n, plane);
+ td.plane = plane, td.n = n;
+ get_input(s, s->fft_hdata[plane], mainpic, w, h, n, plane, 1.f);
+
+ td.hdata = s->fft_hdata[plane];
+ td.vdata = s->fft_vdata[plane];
+
+ ctx->internal->execute(ctx, fft_horizontal, &td, NULL, FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
+ ctx->internal->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) {
}
total = FFMAX(1, total);
- fft_horizontal(s, s->fft_hdata_impulse[plane], impulsepic, w, h, n, plane, 1 / total);
- fft_vertical(s, s->fft_hdata_impulse[plane], s->fft_vdata_impulse[plane],
- n, plane);
+ get_input(s, s->fft_hdata_impulse[plane], impulsepic, w, h, n, plane, 1.f / total);
+
+ td.hdata = s->fft_hdata_impulse[plane];
+ td.vdata = s->fft_vdata_impulse[plane];
+
+ ctx->internal->execute(ctx, fft_horizontal, &td, NULL, FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
+ ctx->internal->execute(ctx, fft_vertical, &td, NULL, FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
s->got_impulse[plane] = 1;
}
- for (y = 0; y < n; y++) {
- for (x = 0; x < n; x++) {
- FFTSample re, im, ire, iim;
+ td.hdata = input;
+ td.vdata = filter;
- re = s->fft_vdata[plane][y*n + x].re;
- im = s->fft_vdata[plane][y*n + x].im;
- ire = s->fft_vdata_impulse[plane][y*n + x].re;
- iim = s->fft_vdata_impulse[plane][y*n + x].im;
+ ctx->internal->execute(ctx, s->filter, &td, NULL, FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
- s->fft_vdata[plane][y*n + x].re = ire * re - iim * im;
- s->fft_vdata[plane][y*n + x].im = iim * re + ire * im;
- }
- }
+ td.hdata = s->fft_hdata[plane];
+ td.vdata = s->fft_vdata[plane];
- ifft_vertical(s, n, plane);
- ifft_horizontal(s, mainpic, w, h, n, plane);
+ ctx->internal->execute(ctx, ifft_vertical, &td, NULL, FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
+ ctx->internal->execute(ctx, ifft_horizontal, &td, NULL, FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
+
+ get_output(s, s->fft_hdata[plane], mainpic, w, h, n, plane, 1.f / (n * n));
}
return ff_filter_frame(outlink, mainpic);
AVFilterContext *ctx = outlink->src;
ConvolveContext *s = ctx->priv;
AVFilterLink *mainlink = ctx->inputs[0];
- int ret, i;
+ int ret, i, j;
s->fs.on_event = do_convolve;
ret = ff_framesync_init_dualinput(&s->fs, ctx);
return ret;
for (i = 0; i < s->nb_planes; i++) {
- s->fft[i] = av_fft_init(s->fft_bits[i], 0);
- s->ifft[i] = av_fft_init(s->fft_bits[i], 1);
- if (!s->fft[i] || !s->ifft[i])
- return AVERROR(ENOMEM);
+ for (j = 0; j < MAX_THREADS; j++) {
+ s->fft[i][j] = av_fft_init(s->fft_bits[i], 0);
+ s->ifft[i][j] = av_fft_init(s->fft_bits[i], 1);
+ if (!s->fft[i][j] || !s->ifft[i][j])
+ return AVERROR(ENOMEM);
+ }
}
return 0;
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;
+ int i, j;
for (i = 0; i < 4; i++) {
av_freep(&s->fft_hdata[i]);
av_freep(&s->fft_vdata[i]);
av_freep(&s->fft_hdata_impulse[i]);
av_freep(&s->fft_vdata_impulse[i]);
- av_fft_end(s->fft[i]);
- av_fft_end(s->ifft[i]);
+
+ for (j = 0; j < MAX_THREADS; j++) {
+ av_fft_end(s->fft[i][j]);
+ s->fft[i][j] = NULL;
+ av_fft_end(s->ifft[i][j]);
+ s->ifft[i][j] = NULL;
+ }
}
ff_framesync_uninit(&s->fs);
{ NULL }
};
+#if CONFIG_CONVOLVE_FILTER
+
+FRAMESYNC_DEFINE_CLASS(convolve, ConvolveContext, fs);
+
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,
.query_formats = query_formats,
.activate = activate,
.priv_class = &convolve_class,
.inputs = convolve_inputs,
.outputs = convolve_outputs,
- .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL,
+ .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_CLASS(deconvolve, ConvolveContext, fs);
+
+AVFilter ff_vf_deconvolve = {
+ .name = "deconvolve",
+ .description = NULL_IF_CONFIG_SMALL("Deconvolve first video stream with second video stream."),
+ .preinit = deconvolve_framesync_preinit,
+ .init = init,
+ .uninit = uninit,
+ .query_formats = query_formats,
+ .activate = activate,
+ .priv_size = sizeof(ConvolveContext),
+ .priv_class = &deconvolve_class,
+ .inputs = convolve_inputs,
+ .outputs = convolve_outputs,
+ .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
};
+
+#endif /* CONFIG_DECONVOLVE_FILTER */
projects / ffmpeg / blobdiff