848 lines
28 KiB
C
848 lines
28 KiB
C
/*
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* Copyright (c) 2012-2013 Oka Motofumi (chikuzen.mo at gmail dot com)
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* Copyright (c) 2015 Paul B Mahol
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include "libavutil/avstring.h"
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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 ConvolutionContext {
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const AVClass *class;
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char *matrix_str[4];
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float rdiv[4];
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float bias[4];
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float scale;
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float delta;
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int planes;
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int size[4];
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int depth;
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int bpc;
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int bstride;
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uint8_t *buffer;
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uint8_t **bptrs;
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int nb_planes;
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int nb_threads;
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int planewidth[4];
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int planeheight[4];
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int matrix[4][25];
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int matrix_length[4];
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int copy[4];
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int (*filter[4])(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs);
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} ConvolutionContext;
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#define OFFSET(x) offsetof(ConvolutionContext, x)
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#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
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static const AVOption convolution_options[] = {
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{ "0m", "set matrix for 1st plane", OFFSET(matrix_str[0]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
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{ "1m", "set matrix for 2nd plane", OFFSET(matrix_str[1]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
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{ "2m", "set matrix for 3rd plane", OFFSET(matrix_str[2]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
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{ "3m", "set matrix for 4th plane", OFFSET(matrix_str[3]), AV_OPT_TYPE_STRING, {.str="0 0 0 0 1 0 0 0 0"}, 0, 0, FLAGS },
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{ "0rdiv", "set rdiv for 1st plane", OFFSET(rdiv[0]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
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{ "1rdiv", "set rdiv for 2nd plane", OFFSET(rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
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{ "2rdiv", "set rdiv for 3rd plane", OFFSET(rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
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{ "3rdiv", "set rdiv for 4th plane", OFFSET(rdiv[3]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
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{ "0bias", "set bias for 1st plane", OFFSET(bias[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
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{ "1bias", "set bias for 2nd plane", OFFSET(bias[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
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{ "2bias", "set bias for 3rd plane", OFFSET(bias[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
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{ "3bias", "set bias for 4th plane", OFFSET(bias[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(convolution);
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static const int same3x3[9] = {0, 0, 0,
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0, 1, 0,
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0, 0, 0};
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static const int same5x5[25] = {0, 0, 0, 0, 0,
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0, 0, 0, 0, 0,
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0, 0, 1, 0, 0,
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0, 0, 0, 0, 0,
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0, 0, 0, 0, 0};
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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 inline void line_copy8(uint8_t *line, const uint8_t *srcp, int width, int mergin)
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{
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int i;
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memcpy(line, srcp, width);
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for (i = mergin; i > 0; i--) {
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line[-i] = line[i];
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line[width - 1 + i] = line[width - 1 - i];
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}
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}
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static inline void line_copy16(uint16_t *line, const uint16_t *srcp, int width, int mergin)
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{
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int i;
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memcpy(line, srcp, width * 2);
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for (i = mergin; i > 0; i--) {
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line[-i] = line[i];
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line[width - 1 + i] = line[width - 1 - i];
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}
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}
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typedef struct ThreadData {
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AVFrame *in, *out;
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int plane;
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} ThreadData;
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static int filter16_prewitt(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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ConvolutionContext *s = ctx->priv;
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ThreadData *td = arg;
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AVFrame *in = td->in;
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AVFrame *out = td->out;
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const int plane = td->plane;
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const int peak = (1 << s->depth) - 1;
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const int stride = in->linesize[plane] / 2;
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const int bstride = s->bstride;
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const int height = s->planeheight[plane];
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const int width = s->planewidth[plane];
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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 uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
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uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
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const float scale = s->scale;
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const float delta = s->delta;
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uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
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uint16_t *p1 = p0 + bstride;
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uint16_t *p2 = p1 + bstride;
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uint16_t *orig = p0, *end = p2;
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int y, x;
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line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
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line_copy16(p1, src, width, 1);
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for (y = slice_start; y < slice_end; y++) {
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src += stride * (y < height - 1 ? 1 : -1);
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line_copy16(p2, src, width, 1);
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for (x = 0; x < width; x++) {
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int suma = p0[x - 1] * -1 +
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p0[x] * -1 +
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p0[x + 1] * -1 +
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p2[x - 1] * 1 +
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p2[x] * 1 +
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p2[x + 1] * 1;
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int sumb = p0[x - 1] * -1 +
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p0[x + 1] * 1 +
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p1[x - 1] * -1 +
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p1[x + 1] * 1 +
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p2[x - 1] * -1 +
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p2[x + 1] * 1;
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dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
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}
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p0 = p1;
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p1 = p2;
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p2 = (p2 == end) ? orig: p2 + bstride;
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dst += out->linesize[plane] / 2;
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}
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return 0;
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}
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static int filter16_sobel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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ConvolutionContext *s = ctx->priv;
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ThreadData *td = arg;
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AVFrame *in = td->in;
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AVFrame *out = td->out;
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const int plane = td->plane;
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const int peak = (1 << s->depth) - 1;
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const int stride = in->linesize[plane] / 2;
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const int bstride = s->bstride;
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const int height = s->planeheight[plane];
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const int width = s->planewidth[plane];
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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 uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
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uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
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const float scale = s->scale;
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const float delta = s->delta;
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uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
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uint16_t *p1 = p0 + bstride;
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uint16_t *p2 = p1 + bstride;
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uint16_t *orig = p0, *end = p2;
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int y, x;
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line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
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line_copy16(p1, src, width, 1);
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for (y = slice_start; y < slice_end; y++) {
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src += stride * (y < height - 1 ? 1 : -1);
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line_copy16(p2, src, width, 1);
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for (x = 0; x < width; x++) {
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int suma = p0[x - 1] * -1 +
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p0[x] * -2 +
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p0[x + 1] * -1 +
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p2[x - 1] * 1 +
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p2[x] * 2 +
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p2[x + 1] * 1;
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int sumb = p0[x - 1] * -1 +
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p0[x + 1] * 1 +
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p1[x - 1] * -2 +
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p1[x + 1] * 2 +
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p2[x - 1] * -1 +
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p2[x + 1] * 1;
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dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
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}
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p0 = p1;
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p1 = p2;
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p2 = (p2 == end) ? orig: p2 + bstride;
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dst += out->linesize[plane] / 2;
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}
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return 0;
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}
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static int filter_prewitt(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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ConvolutionContext *s = ctx->priv;
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ThreadData *td = arg;
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AVFrame *in = td->in;
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AVFrame *out = td->out;
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const int plane = td->plane;
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const int stride = in->linesize[plane];
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const int bstride = s->bstride;
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const int height = s->planeheight[plane];
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const int width = s->planewidth[plane];
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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 uint8_t *src = in->data[plane] + slice_start * stride;
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uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
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const float scale = s->scale;
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const float delta = s->delta;
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uint8_t *p0 = s->bptrs[jobnr] + 16;
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uint8_t *p1 = p0 + bstride;
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uint8_t *p2 = p1 + bstride;
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uint8_t *orig = p0, *end = p2;
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int y, x;
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line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
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line_copy8(p1, src, width, 1);
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for (y = slice_start; y < slice_end; y++) {
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src += stride * (y < height - 1 ? 1 : -1);
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line_copy8(p2, src, width, 1);
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for (x = 0; x < width; x++) {
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int suma = p0[x - 1] * -1 +
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p0[x] * -1 +
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p0[x + 1] * -1 +
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p2[x - 1] * 1 +
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p2[x] * 1 +
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p2[x + 1] * 1;
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int sumb = p0[x - 1] * -1 +
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p0[x + 1] * 1 +
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p1[x - 1] * -1 +
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p1[x + 1] * 1 +
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p2[x - 1] * -1 +
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p2[x + 1] * 1;
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dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
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}
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p0 = p1;
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p1 = p2;
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p2 = (p2 == end) ? orig: p2 + bstride;
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dst += out->linesize[plane];
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}
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return 0;
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}
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static int filter_sobel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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ConvolutionContext *s = ctx->priv;
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ThreadData *td = arg;
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AVFrame *in = td->in;
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AVFrame *out = td->out;
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const int plane = td->plane;
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const int stride = in->linesize[plane];
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const int bstride = s->bstride;
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const int height = s->planeheight[plane];
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const int width = s->planewidth[plane];
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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 uint8_t *src = in->data[plane] + slice_start * stride;
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uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
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const float scale = s->scale;
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const float delta = s->delta;
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uint8_t *p0 = s->bptrs[jobnr] + 16;
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uint8_t *p1 = p0 + bstride;
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uint8_t *p2 = p1 + bstride;
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uint8_t *orig = p0, *end = p2;
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int y, x;
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line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
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line_copy8(p1, src, width, 1);
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for (y = slice_start; y < slice_end; y++) {
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src += stride * (y < height - 1 ? 1 : -1);
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line_copy8(p2, src, width, 1);
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for (x = 0; x < width; x++) {
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int suma = p0[x - 1] * -1 +
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p0[x] * -2 +
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p0[x + 1] * -1 +
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p2[x - 1] * 1 +
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p2[x] * 2 +
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p2[x + 1] * 1;
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int sumb = p0[x - 1] * -1 +
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p0[x + 1] * 1 +
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p1[x - 1] * -2 +
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p1[x + 1] * 2 +
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p2[x - 1] * -1 +
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p2[x + 1] * 1;
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dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
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}
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p0 = p1;
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p1 = p2;
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p2 = (p2 == end) ? orig: p2 + bstride;
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dst += out->linesize[plane];
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}
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return 0;
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}
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static int filter16_3x3(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
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{
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ConvolutionContext *s = ctx->priv;
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ThreadData *td = arg;
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AVFrame *in = td->in;
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AVFrame *out = td->out;
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const int plane = td->plane;
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const int peak = (1 << s->depth) - 1;
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const int stride = in->linesize[plane] / 2;
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const int bstride = s->bstride;
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const int height = s->planeheight[plane];
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const int width = s->planewidth[plane];
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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 uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
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uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
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uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
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uint16_t *p1 = p0 + bstride;
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uint16_t *p2 = p1 + bstride;
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uint16_t *orig = p0, *end = p2;
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const int *matrix = s->matrix[plane];
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const float rdiv = s->rdiv[plane];
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const float bias = s->bias[plane];
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int y, x;
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line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
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line_copy16(p1, src, width, 1);
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for (y = slice_start; y < slice_end; y++) {
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src += stride * (y < height - 1 ? 1 : -1);
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line_copy16(p2, src, width, 1);
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for (x = 0; x < width; x++) {
|
|
int sum = p0[x - 1] * matrix[0] +
|
|
p0[x] * matrix[1] +
|
|
p0[x + 1] * matrix[2] +
|
|
p1[x - 1] * matrix[3] +
|
|
p1[x] * matrix[4] +
|
|
p1[x + 1] * matrix[5] +
|
|
p2[x - 1] * matrix[6] +
|
|
p2[x] * matrix[7] +
|
|
p2[x + 1] * matrix[8];
|
|
sum = (int)(sum * rdiv + bias + 0.5f);
|
|
dst[x] = av_clip(sum, 0, peak);
|
|
}
|
|
|
|
p0 = p1;
|
|
p1 = p2;
|
|
p2 = (p2 == end) ? orig: p2 + bstride;
|
|
dst += out->linesize[plane] / 2;
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int filter16_5x5(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
|
|
{
|
|
ConvolutionContext *s = ctx->priv;
|
|
ThreadData *td = arg;
|
|
AVFrame *in = td->in;
|
|
AVFrame *out = td->out;
|
|
const int plane = td->plane;
|
|
const int peak = (1 << s->depth) - 1;
|
|
const int stride = in->linesize[plane] / 2;
|
|
const int bstride = s->bstride;
|
|
const int height = s->planeheight[plane];
|
|
const int width = s->planewidth[plane];
|
|
const int slice_start = (height * jobnr) / nb_jobs;
|
|
const int slice_end = (height * (jobnr+1)) / nb_jobs;
|
|
const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
|
|
uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
|
|
uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
|
|
uint16_t *p1 = p0 + bstride;
|
|
uint16_t *p2 = p1 + bstride;
|
|
uint16_t *p3 = p2 + bstride;
|
|
uint16_t *p4 = p3 + bstride;
|
|
uint16_t *orig = p0, *end = p4;
|
|
const int *matrix = s->matrix[plane];
|
|
float rdiv = s->rdiv[plane];
|
|
float bias = s->bias[plane];
|
|
int y, x, i;
|
|
|
|
line_copy16(p0, src + 2 * stride * (slice_start < 2 ? 1 : -1), width, 2);
|
|
line_copy16(p1, src + stride * (slice_start == 0 ? 1 : -1), width, 2);
|
|
line_copy16(p2, src, width, 2);
|
|
src += stride;
|
|
line_copy16(p3, src, width, 2);
|
|
|
|
for (y = slice_start; y < slice_end; y++) {
|
|
uint16_t *array[] = {
|
|
p0 - 2, p0 - 1, p0, p0 + 1, p0 + 2,
|
|
p1 - 2, p1 - 1, p1, p1 + 1, p1 + 2,
|
|
p2 - 2, p2 - 1, p2, p2 + 1, p2 + 2,
|
|
p3 - 2, p3 - 1, p3, p3 + 1, p3 + 2,
|
|
p4 - 2, p4 - 1, p4, p4 + 1, p4 + 2
|
|
};
|
|
|
|
src += stride * (y < height - 2 ? 1 : -1);
|
|
line_copy16(p4, src, width, 2);
|
|
|
|
for (x = 0; x < width; x++) {
|
|
int sum = 0;
|
|
|
|
for (i = 0; i < 25; i++) {
|
|
sum += *(array[i] + x) * matrix[i];
|
|
}
|
|
sum = (int)(sum * rdiv + bias + 0.5f);
|
|
dst[x] = av_clip(sum, 0, peak);
|
|
}
|
|
|
|
p0 = p1;
|
|
p1 = p2;
|
|
p2 = p3;
|
|
p3 = p4;
|
|
p4 = (p4 == end) ? orig: p4 + bstride;
|
|
dst += out->linesize[plane] / 2;
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int filter_3x3(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
|
|
{
|
|
ConvolutionContext *s = ctx->priv;
|
|
ThreadData *td = arg;
|
|
AVFrame *in = td->in;
|
|
AVFrame *out = td->out;
|
|
const int plane = td->plane;
|
|
const int stride = in->linesize[plane];
|
|
const int bstride = s->bstride;
|
|
const int height = s->planeheight[plane];
|
|
const int width = s->planewidth[plane];
|
|
const int slice_start = (height * jobnr) / nb_jobs;
|
|
const int slice_end = (height * (jobnr+1)) / nb_jobs;
|
|
const uint8_t *src = in->data[plane] + slice_start * stride;
|
|
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
|
|
uint8_t *p0 = s->bptrs[jobnr] + 16;
|
|
uint8_t *p1 = p0 + bstride;
|
|
uint8_t *p2 = p1 + bstride;
|
|
uint8_t *orig = p0, *end = p2;
|
|
const int *matrix = s->matrix[plane];
|
|
const float rdiv = s->rdiv[plane];
|
|
const float bias = s->bias[plane];
|
|
int y, x;
|
|
|
|
line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
|
|
line_copy8(p1, src, width, 1);
|
|
|
|
for (y = slice_start; y < slice_end; y++) {
|
|
src += stride * (y < height - 1 ? 1 : -1);
|
|
line_copy8(p2, src, width, 1);
|
|
|
|
for (x = 0; x < width; x++) {
|
|
int sum = p0[x - 1] * matrix[0] +
|
|
p0[x] * matrix[1] +
|
|
p0[x + 1] * matrix[2] +
|
|
p1[x - 1] * matrix[3] +
|
|
p1[x] * matrix[4] +
|
|
p1[x + 1] * matrix[5] +
|
|
p2[x - 1] * matrix[6] +
|
|
p2[x] * matrix[7] +
|
|
p2[x + 1] * matrix[8];
|
|
sum = (int)(sum * rdiv + bias + 0.5f);
|
|
dst[x] = av_clip_uint8(sum);
|
|
}
|
|
|
|
p0 = p1;
|
|
p1 = p2;
|
|
p2 = (p2 == end) ? orig: p2 + bstride;
|
|
dst += out->linesize[plane];
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int filter_5x5(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
|
|
{
|
|
ConvolutionContext *s = ctx->priv;
|
|
ThreadData *td = arg;
|
|
AVFrame *in = td->in;
|
|
AVFrame *out = td->out;
|
|
const int plane = td->plane;
|
|
const int stride = in->linesize[plane];
|
|
const int bstride = s->bstride;
|
|
const int height = s->planeheight[plane];
|
|
const int width = s->planewidth[plane];
|
|
const int slice_start = (height * jobnr) / nb_jobs;
|
|
const int slice_end = (height * (jobnr+1)) / nb_jobs;
|
|
const uint8_t *src = in->data[plane] + slice_start * stride;
|
|
uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
|
|
uint8_t *p0 = s->bptrs[jobnr] + 16;
|
|
uint8_t *p1 = p0 + bstride;
|
|
uint8_t *p2 = p1 + bstride;
|
|
uint8_t *p3 = p2 + bstride;
|
|
uint8_t *p4 = p3 + bstride;
|
|
uint8_t *orig = p0, *end = p4;
|
|
const int *matrix = s->matrix[plane];
|
|
float rdiv = s->rdiv[plane];
|
|
float bias = s->bias[plane];
|
|
int y, x, i;
|
|
|
|
line_copy8(p0, src + 2 * stride * (slice_start < 2 ? 1 : -1), width, 2);
|
|
line_copy8(p1, src + stride * (slice_start == 0 ? 1 : -1), width, 2);
|
|
line_copy8(p2, src, width, 2);
|
|
src += stride;
|
|
line_copy8(p3, src, width, 2);
|
|
|
|
|
|
for (y = slice_start; y < slice_end; y++) {
|
|
uint8_t *array[] = {
|
|
p0 - 2, p0 - 1, p0, p0 + 1, p0 + 2,
|
|
p1 - 2, p1 - 1, p1, p1 + 1, p1 + 2,
|
|
p2 - 2, p2 - 1, p2, p2 + 1, p2 + 2,
|
|
p3 - 2, p3 - 1, p3, p3 + 1, p3 + 2,
|
|
p4 - 2, p4 - 1, p4, p4 + 1, p4 + 2
|
|
};
|
|
|
|
src += stride * (y < height - 2 ? 1 : -1);
|
|
line_copy8(p4, src, width, 2);
|
|
|
|
for (x = 0; x < width; x++) {
|
|
int sum = 0;
|
|
|
|
for (i = 0; i < 25; i++) {
|
|
sum += *(array[i] + x) * matrix[i];
|
|
}
|
|
sum = (int)(sum * rdiv + bias + 0.5f);
|
|
dst[x] = av_clip_uint8(sum);
|
|
}
|
|
|
|
p0 = p1;
|
|
p1 = p2;
|
|
p2 = p3;
|
|
p3 = p4;
|
|
p4 = (p4 == end) ? orig: p4 + bstride;
|
|
dst += out->linesize[plane];
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int config_input(AVFilterLink *inlink)
|
|
{
|
|
AVFilterContext *ctx = inlink->dst;
|
|
ConvolutionContext *s = ctx->priv;
|
|
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
|
|
int p;
|
|
|
|
s->depth = desc->comp[0].depth;
|
|
|
|
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;
|
|
|
|
s->nb_planes = av_pix_fmt_count_planes(inlink->format);
|
|
s->nb_threads = ff_filter_get_nb_threads(ctx);
|
|
s->bptrs = av_calloc(s->nb_threads, sizeof(*s->bptrs));
|
|
if (!s->bptrs)
|
|
return AVERROR(ENOMEM);
|
|
|
|
s->bstride = s->planewidth[0] + 32;
|
|
s->bpc = (s->depth + 7) / 8;
|
|
s->buffer = av_malloc_array(5 * s->bstride * s->nb_threads, s->bpc);
|
|
if (!s->buffer)
|
|
return AVERROR(ENOMEM);
|
|
|
|
for (p = 0; p < s->nb_threads; p++) {
|
|
s->bptrs[p] = s->buffer + 5 * s->bstride * s->bpc * p;
|
|
}
|
|
|
|
if (!strcmp(ctx->filter->name, "convolution")) {
|
|
if (s->depth > 8) {
|
|
for (p = 0; p < s->nb_planes; p++) {
|
|
if (s->size[p] == 3)
|
|
s->filter[p] = filter16_3x3;
|
|
else if (s->size[p] == 5)
|
|
s->filter[p] = filter16_5x5;
|
|
}
|
|
}
|
|
} else if (!strcmp(ctx->filter->name, "prewitt")) {
|
|
if (s->depth > 8)
|
|
for (p = 0; p < s->nb_planes; p++)
|
|
s->filter[p] = filter16_prewitt;
|
|
} else if (!strcmp(ctx->filter->name, "sobel")) {
|
|
if (s->depth > 8)
|
|
for (p = 0; p < s->nb_planes; p++)
|
|
s->filter[p] = filter16_sobel;
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
|
|
{
|
|
AVFilterContext *ctx = inlink->dst;
|
|
ConvolutionContext *s = ctx->priv;
|
|
AVFilterLink *outlink = ctx->outputs[0];
|
|
AVFrame *out;
|
|
int plane;
|
|
|
|
out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
|
|
if (!out) {
|
|
av_frame_free(&in);
|
|
return AVERROR(ENOMEM);
|
|
}
|
|
av_frame_copy_props(out, in);
|
|
|
|
for (plane = 0; plane < s->nb_planes; plane++) {
|
|
ThreadData td;
|
|
|
|
if (s->copy[plane]) {
|
|
av_image_copy_plane(out->data[plane], out->linesize[plane],
|
|
in->data[plane], in->linesize[plane],
|
|
s->planewidth[plane] * s->bpc,
|
|
s->planeheight[plane]);
|
|
continue;
|
|
}
|
|
|
|
td.in = in;
|
|
td.out = out;
|
|
td.plane = plane;
|
|
ctx->internal->execute(ctx, s->filter[plane], &td, NULL, FFMIN(s->planeheight[plane], s->nb_threads));
|
|
}
|
|
|
|
av_frame_free(&in);
|
|
return ff_filter_frame(outlink, out);
|
|
}
|
|
|
|
static av_cold int init(AVFilterContext *ctx)
|
|
{
|
|
ConvolutionContext *s = ctx->priv;
|
|
int i;
|
|
|
|
if (!strcmp(ctx->filter->name, "convolution")) {
|
|
for (i = 0; i < 4; i++) {
|
|
int *matrix = (int *)s->matrix[i];
|
|
char *p, *arg, *saveptr = NULL;
|
|
|
|
p = s->matrix_str[i];
|
|
while (s->matrix_length[i] < 25) {
|
|
if (!(arg = av_strtok(p, " ", &saveptr)))
|
|
break;
|
|
|
|
p = NULL;
|
|
sscanf(arg, "%d", &matrix[s->matrix_length[i]]);
|
|
s->matrix_length[i]++;
|
|
}
|
|
|
|
if (s->matrix_length[i] == 9) {
|
|
s->size[i] = 3;
|
|
if (!memcmp(matrix, same3x3, sizeof(same3x3)))
|
|
s->copy[i] = 1;
|
|
else
|
|
s->filter[i] = filter_3x3;
|
|
} else if (s->matrix_length[i] == 25) {
|
|
s->size[i] = 5;
|
|
if (!memcmp(matrix, same5x5, sizeof(same5x5)))
|
|
s->copy[i] = 1;
|
|
else
|
|
s->filter[i] = filter_5x5;
|
|
} else {
|
|
return AVERROR(EINVAL);
|
|
}
|
|
}
|
|
} else if (!strcmp(ctx->filter->name, "prewitt")) {
|
|
for (i = 0; i < 4; i++) {
|
|
if ((1 << i) & s->planes)
|
|
s->filter[i] = filter_prewitt;
|
|
else
|
|
s->copy[i] = 1;
|
|
}
|
|
} else if (!strcmp(ctx->filter->name, "sobel")) {
|
|
for (i = 0; i < 4; i++) {
|
|
if ((1 << i) & s->planes)
|
|
s->filter[i] = filter_sobel;
|
|
else
|
|
s->copy[i] = 1;
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
static av_cold void uninit(AVFilterContext *ctx)
|
|
{
|
|
ConvolutionContext *s = ctx->priv;
|
|
|
|
av_freep(&s->bptrs);
|
|
av_freep(&s->buffer);
|
|
}
|
|
|
|
static const AVFilterPad convolution_inputs[] = {
|
|
{
|
|
.name = "default",
|
|
.type = AVMEDIA_TYPE_VIDEO,
|
|
.config_props = config_input,
|
|
.filter_frame = filter_frame,
|
|
},
|
|
{ NULL }
|
|
};
|
|
|
|
static const AVFilterPad convolution_outputs[] = {
|
|
{
|
|
.name = "default",
|
|
.type = AVMEDIA_TYPE_VIDEO,
|
|
},
|
|
{ NULL }
|
|
};
|
|
|
|
#if CONFIG_CONVOLUTION_FILTER
|
|
|
|
AVFilter ff_vf_convolution = {
|
|
.name = "convolution",
|
|
.description = NULL_IF_CONFIG_SMALL("Apply convolution filter."),
|
|
.priv_size = sizeof(ConvolutionContext),
|
|
.priv_class = &convolution_class,
|
|
.init = init,
|
|
.uninit = uninit,
|
|
.query_formats = query_formats,
|
|
.inputs = convolution_inputs,
|
|
.outputs = convolution_outputs,
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
|
|
};
|
|
|
|
#endif /* CONFIG_CONVOLUTION_FILTER */
|
|
|
|
#if CONFIG_PREWITT_FILTER
|
|
|
|
static const AVOption prewitt_options[] = {
|
|
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
|
|
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
|
|
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
|
|
{ NULL }
|
|
};
|
|
|
|
AVFILTER_DEFINE_CLASS(prewitt);
|
|
|
|
AVFilter ff_vf_prewitt = {
|
|
.name = "prewitt",
|
|
.description = NULL_IF_CONFIG_SMALL("Apply prewitt operator."),
|
|
.priv_size = sizeof(ConvolutionContext),
|
|
.priv_class = &prewitt_class,
|
|
.init = init,
|
|
.uninit = uninit,
|
|
.query_formats = query_formats,
|
|
.inputs = convolution_inputs,
|
|
.outputs = convolution_outputs,
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
|
|
};
|
|
|
|
#endif /* CONFIG_PREWITT_FILTER */
|
|
|
|
#if CONFIG_SOBEL_FILTER
|
|
|
|
static const AVOption sobel_options[] = {
|
|
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
|
|
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
|
|
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
|
|
{ NULL }
|
|
};
|
|
|
|
AVFILTER_DEFINE_CLASS(sobel);
|
|
|
|
AVFilter ff_vf_sobel = {
|
|
.name = "sobel",
|
|
.description = NULL_IF_CONFIG_SMALL("Apply sobel operator."),
|
|
.priv_size = sizeof(ConvolutionContext),
|
|
.priv_class = &sobel_class,
|
|
.init = init,
|
|
.uninit = uninit,
|
|
.query_formats = query_formats,
|
|
.inputs = convolution_inputs,
|
|
.outputs = convolution_outputs,
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
|
|
};
|
|
|
|
#endif /* CONFIG_SOBEL_FILTER */
|