mirror of
https://github.com/xenia-project/FFmpeg.git
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368 lines
12 KiB
C
368 lines
12 KiB
C
/*
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* Copyright (c) 2011 Pascal Getreuer
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* Copyright (c) 2016 Paul B Mahol
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*
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* Redistribution and use in source and binary forms, with or without modification,
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* are permitted provided that the following conditions are met:
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*
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above
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* copyright notice, this list of conditions and the following
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* disclaimer in the documentation and/or other materials provided
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* with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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* HOLDER BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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* LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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* NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "libavutil/imgutils.h"
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#include "libavutil/opt.h"
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#include "libavutil/pixdesc.h"
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#include "avfilter.h"
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#include "formats.h"
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#include "internal.h"
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#include "video.h"
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typedef struct GBlurContext {
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const AVClass *class;
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float sigma;
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float sigmaV;
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int steps;
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int planes;
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int depth;
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int planewidth[4];
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int planeheight[4];
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float *buffer;
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float boundaryscale;
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float boundaryscaleV;
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float postscale;
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float postscaleV;
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float nu;
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float nuV;
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int nb_planes;
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} GBlurContext;
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#define OFFSET(x) offsetof(GBlurContext, x)
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#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
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static const AVOption gblur_options[] = {
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{ "sigma", "set sigma", OFFSET(sigma), AV_OPT_TYPE_FLOAT, {.dbl=0.5}, 0.0, 1024, FLAGS },
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{ "steps", "set number of steps", OFFSET(steps), AV_OPT_TYPE_INT, {.i64=1}, 1, 6, FLAGS },
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{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=0xF}, 0, 0xF, FLAGS },
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{ "sigmaV", "set vertical sigma", OFFSET(sigmaV), AV_OPT_TYPE_FLOAT, {.dbl=-1}, -1, 1024, FLAGS },
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(gblur);
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typedef struct ThreadData {
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int height;
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int width;
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} ThreadData;
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static int filter_horizontally(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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GBlurContext *s = ctx->priv;
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ThreadData *td = arg;
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const int height = td->height;
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const int width = td->width;
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const int slice_start = (height * jobnr ) / nb_jobs;
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const int slice_end = (height * (jobnr+1)) / nb_jobs;
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const float boundaryscale = s->boundaryscale;
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const int steps = s->steps;
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const float nu = s->nu;
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float *buffer = s->buffer;
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int y, x, step;
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float *ptr;
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/* Filter horizontally along each row */
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for (y = slice_start; y < slice_end; y++) {
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for (step = 0; step < steps; step++) {
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ptr = buffer + width * y;
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ptr[0] *= boundaryscale;
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/* Filter rightwards */
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for (x = 1; x < width; x++)
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ptr[x] += nu * ptr[x - 1];
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ptr[x = width - 1] *= boundaryscale;
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/* Filter leftwards */
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for (; x > 0; x--)
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ptr[x - 1] += nu * ptr[x];
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}
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}
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return 0;
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}
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static int filter_vertically(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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GBlurContext *s = ctx->priv;
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ThreadData *td = arg;
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const int height = td->height;
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const int width = td->width;
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const int slice_start = (width * jobnr ) / nb_jobs;
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const int slice_end = (width * (jobnr+1)) / nb_jobs;
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const float boundaryscale = s->boundaryscaleV;
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const int numpixels = width * height;
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const int steps = s->steps;
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const float nu = s->nuV;
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float *buffer = s->buffer;
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int i, x, step;
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float *ptr;
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/* Filter vertically along each column */
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for (x = slice_start; x < slice_end; x++) {
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for (step = 0; step < steps; step++) {
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ptr = buffer + x;
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ptr[0] *= boundaryscale;
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/* Filter downwards */
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for (i = width; i < numpixels; i += width)
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ptr[i] += nu * ptr[i - width];
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ptr[i = numpixels - width] *= boundaryscale;
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/* Filter upwards */
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for (; i > 0; i -= width)
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ptr[i - width] += nu * ptr[i];
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}
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}
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return 0;
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}
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static int filter_postscale(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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GBlurContext *s = ctx->priv;
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ThreadData *td = arg;
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const int height = td->height;
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const int width = td->width;
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const int64_t numpixels = width * height;
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const int slice_start = (numpixels * jobnr ) / nb_jobs;
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const int slice_end = (numpixels * (jobnr+1)) / nb_jobs;
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const float postscale = s->postscale * s->postscaleV;
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float *buffer = s->buffer;
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int i;
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for (i = slice_start; i < slice_end; i++)
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buffer[i] *= postscale;
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return 0;
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}
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static void gaussianiir2d(AVFilterContext *ctx, int plane)
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{
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GBlurContext *s = ctx->priv;
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const int width = s->planewidth[plane];
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const int height = s->planeheight[plane];
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const int nb_threads = ff_filter_get_nb_threads(ctx);
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ThreadData td;
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if (s->sigma <= 0 || s->steps < 0)
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return;
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td.width = width;
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td.height = height;
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ctx->internal->execute(ctx, filter_horizontally, &td, NULL, FFMIN(height, nb_threads));
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ctx->internal->execute(ctx, filter_vertically, &td, NULL, FFMIN(width, nb_threads));
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ctx->internal->execute(ctx, filter_postscale, &td, NULL, FFMIN(width * height, nb_threads));
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}
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static int query_formats(AVFilterContext *ctx)
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{
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static const enum AVPixelFormat pix_fmts[] = {
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AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P,
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AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P,
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AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P,
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AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P,
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AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
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AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9,
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AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10,
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AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12,
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AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14,
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AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16,
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AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9,
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AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10,
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AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16,
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AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
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AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
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AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
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AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY16,
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AV_PIX_FMT_NONE
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};
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return ff_set_common_formats(ctx, ff_make_format_list(pix_fmts));
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}
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static int config_input(AVFilterLink *inlink)
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{
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const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
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GBlurContext *s = inlink->dst->priv;
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s->depth = desc->comp[0].depth;
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s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
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s->planewidth[0] = s->planewidth[3] = inlink->w;
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s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
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s->planeheight[0] = s->planeheight[3] = inlink->h;
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s->nb_planes = av_pix_fmt_count_planes(inlink->format);
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s->buffer = av_malloc_array(inlink->w, inlink->h * sizeof(*s->buffer));
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if (!s->buffer)
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return AVERROR(ENOMEM);
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if (s->sigmaV < 0) {
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s->sigmaV = s->sigma;
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}
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return 0;
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}
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static void set_params(float sigma, int steps, float *postscale, float *boundaryscale, float *nu)
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{
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double dnu, lambda;
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lambda = (sigma * sigma) / (2.0 * steps);
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dnu = (1.0 + 2.0 * lambda - sqrt(1.0 + 4.0 * lambda)) / (2.0 * lambda);
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*postscale = pow(dnu / lambda, steps);
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*boundaryscale = 1.0 / (1.0 - dnu);
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*nu = (float)dnu;
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}
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static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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{
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AVFilterContext *ctx = inlink->dst;
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GBlurContext *s = ctx->priv;
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AVFilterLink *outlink = ctx->outputs[0];
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AVFrame *out;
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int plane;
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set_params(s->sigma, s->steps, &s->postscale, &s->boundaryscale, &s->nu);
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set_params(s->sigmaV, s->steps, &s->postscaleV, &s->boundaryscaleV, &s->nuV);
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if (av_frame_is_writable(in)) {
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out = in;
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} else {
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out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
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if (!out) {
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av_frame_free(&in);
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return AVERROR(ENOMEM);
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}
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av_frame_copy_props(out, in);
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}
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for (plane = 0; plane < s->nb_planes; plane++) {
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const int height = s->planeheight[plane];
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const int width = s->planewidth[plane];
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float *bptr = s->buffer;
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const uint8_t *src = in->data[plane];
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const uint16_t *src16 = (const uint16_t *)in->data[plane];
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uint8_t *dst = out->data[plane];
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uint16_t *dst16 = (uint16_t *)out->data[plane];
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int y, x;
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if (!s->sigma || !(s->planes & (1 << plane))) {
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if (out != in)
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av_image_copy_plane(out->data[plane], out->linesize[plane],
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in->data[plane], in->linesize[plane],
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width * ((s->depth + 7) / 8), height);
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continue;
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}
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if (s->depth == 8) {
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for (y = 0; y < height; y++) {
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for (x = 0; x < width; x++) {
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bptr[x] = src[x];
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}
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bptr += width;
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src += in->linesize[plane];
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}
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} else {
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for (y = 0; y < height; y++) {
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for (x = 0; x < width; x++) {
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bptr[x] = src16[x];
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}
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bptr += width;
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src16 += in->linesize[plane] / 2;
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}
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}
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gaussianiir2d(ctx, plane);
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bptr = s->buffer;
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if (s->depth == 8) {
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for (y = 0; y < height; y++) {
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for (x = 0; x < width; x++) {
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dst[x] = bptr[x];
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}
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bptr += width;
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dst += out->linesize[plane];
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}
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} else {
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for (y = 0; y < height; y++) {
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for (x = 0; x < width; x++) {
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dst16[x] = bptr[x];
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}
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bptr += width;
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dst16 += out->linesize[plane] / 2;
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}
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}
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}
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if (out != in)
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av_frame_free(&in);
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return ff_filter_frame(outlink, out);
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}
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static av_cold void uninit(AVFilterContext *ctx)
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{
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GBlurContext *s = ctx->priv;
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av_freep(&s->buffer);
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}
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static const AVFilterPad gblur_inputs[] = {
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{
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.name = "default",
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.type = AVMEDIA_TYPE_VIDEO,
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.config_props = config_input,
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.filter_frame = filter_frame,
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},
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{ NULL }
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};
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static const AVFilterPad gblur_outputs[] = {
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{
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.name = "default",
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.type = AVMEDIA_TYPE_VIDEO,
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},
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{ NULL }
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};
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AVFilter ff_vf_gblur = {
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.name = "gblur",
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.description = NULL_IF_CONFIG_SMALL("Apply Gaussian Blur filter."),
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.priv_size = sizeof(GBlurContext),
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.priv_class = &gblur_class,
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.uninit = uninit,
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.query_formats = query_formats,
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.inputs = gblur_inputs,
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.outputs = gblur_outputs,
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.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
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};
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