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/* |
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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/intreadwrite.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 "convolution.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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#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=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ "1rdiv", "set rdiv for 2nd plane", OFFSET(rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ "2rdiv", "set rdiv for 3rd plane", OFFSET(rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
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{ "3rdiv", "set rdiv for 4th plane", OFFSET(rdiv[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 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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{ "0mode", "set matrix mode for 1st plane", OFFSET(mode[0]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" }, |
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{ "1mode", "set matrix mode for 2nd plane", OFFSET(mode[1]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" }, |
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{ "2mode", "set matrix mode for 3rd plane", OFFSET(mode[2]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" }, |
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{ "3mode", "set matrix mode for 4th plane", OFFSET(mode[3]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" }, |
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{ "square", "square matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_SQUARE}, 0, 0, FLAGS, "mode" }, |
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{ "row", "single row matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_ROW} , 0, 0, FLAGS, "mode" }, |
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{ "column", "single column matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_COLUMN}, 0, 0, FLAGS, "mode" }, |
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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 const int same7x7[49] = {0, 0, 0, 0, 0, 0, 0, |
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0, 0, 0, 0, 0, 0, 0, |
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0, 0, 0, 0, 0, 0, 0, |
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0, 0, 0, 1, 0, 0, 0, |
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0, 0, 0, 0, 0, 0, 0, |
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0, 0, 0, 0, 0, 0, 0, |
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0, 0, 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_YUVA422P12, AV_PIX_FMT_YUVA444P12, |
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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_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16, |
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AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY9, AV_PIX_FMT_GRAY10, AV_PIX_FMT_GRAY12, AV_PIX_FMT_GRAY14, 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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typedef struct ThreadData { |
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AVFrame *in, *out; |
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} ThreadData; |
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static void filter16_prewitt(uint8_t *dstp, int width, |
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float scale, float delta, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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uint16_t *dst = (uint16_t *)dstp; |
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int x; |
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for (x = 0; x < width; x++) { |
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float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * -1 + |
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AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 1 + AV_RN16A(&c[8][2 * x]) * 1; |
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float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -1 + |
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AV_RN16A(&c[5][2 * x]) * 1 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1; |
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dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak); |
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} |
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} |
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static void filter16_roberts(uint8_t *dstp, int width, |
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float scale, float delta, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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uint16_t *dst = (uint16_t *)dstp; |
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int x; |
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for (x = 0; x < width; x++) { |
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float suma = AV_RN16A(&c[0][2 * x]) * 1 + AV_RN16A(&c[1][2 * x]) * -1; |
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float sumb = AV_RN16A(&c[4][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -1; |
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dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak); |
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} |
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} |
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static void filter16_sobel(uint8_t *dstp, int width, |
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float scale, float delta, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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uint16_t *dst = (uint16_t *)dstp; |
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int x; |
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for (x = 0; x < width; x++) { |
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float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -2 + AV_RN16A(&c[2][2 * x]) * -1 + |
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AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 2 + AV_RN16A(&c[8][2 * x]) * 1; |
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float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -2 + |
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AV_RN16A(&c[5][2 * x]) * 2 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1; |
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dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak); |
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} |
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} |
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static void filter_prewitt(uint8_t *dst, int width, |
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float scale, float delta, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2]; |
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const uint8_t *c3 = c[3], *c5 = c[5]; |
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const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8]; |
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int x; |
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for (x = 0; x < width; x++) { |
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float suma = c0[x] * -1 + c1[x] * -1 + c2[x] * -1 + |
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c6[x] * 1 + c7[x] * 1 + c8[x] * 1; |
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float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -1 + |
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c5[x] * 1 + c6[x] * -1 + c8[x] * 1; |
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dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta); |
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} |
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} |
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static void filter_roberts(uint8_t *dst, int width, |
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float scale, float delta, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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int x; |
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for (x = 0; x < width; x++) { |
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float suma = c[0][x] * 1 + c[1][x] * -1; |
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float sumb = c[4][x] * 1 + c[3][x] * -1; |
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dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta); |
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} |
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} |
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static void filter_sobel(uint8_t *dst, int width, |
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float scale, float delta, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2]; |
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const uint8_t *c3 = c[3], *c5 = c[5]; |
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const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8]; |
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int x; |
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for (x = 0; x < width; x++) { |
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float suma = c0[x] * -1 + c1[x] * -2 + c2[x] * -1 + |
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c6[x] * 1 + c7[x] * 2 + c8[x] * 1; |
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float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -2 + |
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c5[x] * 2 + c6[x] * -1 + c8[x] * 1; |
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dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta); |
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} |
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} |
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static void filter16_3x3(uint8_t *dstp, int width, |
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float rdiv, float bias, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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uint16_t *dst = (uint16_t *)dstp; |
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int x; |
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for (x = 0; x < width; x++) { |
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int sum = AV_RN16A(&c[0][2 * x]) * matrix[0] + |
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AV_RN16A(&c[1][2 * x]) * matrix[1] + |
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AV_RN16A(&c[2][2 * x]) * matrix[2] + |
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AV_RN16A(&c[3][2 * x]) * matrix[3] + |
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AV_RN16A(&c[4][2 * x]) * matrix[4] + |
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AV_RN16A(&c[5][2 * x]) * matrix[5] + |
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AV_RN16A(&c[6][2 * x]) * matrix[6] + |
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AV_RN16A(&c[7][2 * x]) * matrix[7] + |
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AV_RN16A(&c[8][2 * x]) * matrix[8]; |
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sum = (int)(sum * rdiv + bias + 0.5f); |
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dst[x] = av_clip(sum, 0, peak); |
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} |
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} |
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static void filter16_5x5(uint8_t *dstp, int width, |
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float rdiv, float bias, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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uint16_t *dst = (uint16_t *)dstp; |
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int x; |
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for (x = 0; x < width; x++) { |
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int i, sum = 0; |
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for (i = 0; i < 25; i++) |
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sum += AV_RN16A(&c[i][2 * x]) * matrix[i]; |
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sum = (int)(sum * rdiv + bias + 0.5f); |
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dst[x] = av_clip(sum, 0, peak); |
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} |
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} |
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static void filter16_7x7(uint8_t *dstp, int width, |
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float rdiv, float bias, const int *const matrix, |
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const uint8_t *c[], int peak, int radius, |
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int dstride, int stride) |
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{ |
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uint16_t *dst = (uint16_t *)dstp; |
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int x; |
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for (x = 0; x < width; x++) { |
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int i, sum = 0; |
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for (i = 0; i < 49; i++) |
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sum += AV_RN16A(&c[i][2 * x]) * matrix[i]; |
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sum = (int)(sum * rdiv + bias + 0.5f); |
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|
|
dst[x] = av_clip(sum, 0, peak); |
275 |
|
|
} |
276 |
|
|
} |
277 |
|
|
|
278 |
|
|
static void filter16_row(uint8_t *dstp, int width, |
279 |
|
|
float rdiv, float bias, const int *const matrix, |
280 |
|
|
const uint8_t *c[], int peak, int radius, |
281 |
|
|
int dstride, int stride) |
282 |
|
|
{ |
283 |
|
|
uint16_t *dst = (uint16_t *)dstp; |
284 |
|
|
int x; |
285 |
|
|
|
286 |
|
|
for (x = 0; x < width; x++) { |
287 |
|
|
int i, sum = 0; |
288 |
|
|
|
289 |
|
|
for (i = 0; i < 2 * radius + 1; i++) |
290 |
|
|
sum += AV_RN16A(&c[i][2 * x]) * matrix[i]; |
291 |
|
|
|
292 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
293 |
|
|
dst[x] = av_clip(sum, 0, peak); |
294 |
|
|
} |
295 |
|
|
} |
296 |
|
|
|
297 |
|
|
static void filter16_column(uint8_t *dstp, int height, |
298 |
|
|
float rdiv, float bias, const int *const matrix, |
299 |
|
|
const uint8_t *c[], int peak, int radius, |
300 |
|
|
int dstride, int stride) |
301 |
|
|
{ |
302 |
|
|
uint16_t *dst = (uint16_t *)dstp; |
303 |
|
|
int y; |
304 |
|
|
|
305 |
|
|
for (y = 0; y < height; y++) { |
306 |
|
|
int i, sum = 0; |
307 |
|
|
|
308 |
|
|
for (i = 0; i < 2 * radius + 1; i++) |
309 |
|
|
sum += AV_RN16A(&c[i][0 + y * stride]) * matrix[i]; |
310 |
|
|
|
311 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
312 |
|
|
dst[0] = av_clip(sum, 0, peak); |
313 |
|
|
dst += dstride / 2; |
314 |
|
|
} |
315 |
|
|
} |
316 |
|
|
|
317 |
|
|
static void filter_7x7(uint8_t *dst, int width, |
318 |
|
|
float rdiv, float bias, const int *const matrix, |
319 |
|
|
const uint8_t *c[], int peak, int radius, |
320 |
|
|
int dstride, int stride) |
321 |
|
|
{ |
322 |
|
|
int x; |
323 |
|
|
|
324 |
|
|
for (x = 0; x < width; x++) { |
325 |
|
|
int i, sum = 0; |
326 |
|
|
|
327 |
|
|
for (i = 0; i < 49; i++) |
328 |
|
|
sum += c[i][x] * matrix[i]; |
329 |
|
|
|
330 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
331 |
|
|
dst[x] = av_clip_uint8(sum); |
332 |
|
|
} |
333 |
|
|
} |
334 |
|
|
|
335 |
|
|
static void filter_5x5(uint8_t *dst, int width, |
336 |
|
|
float rdiv, float bias, const int *const matrix, |
337 |
|
|
const uint8_t *c[], int peak, int radius, |
338 |
|
|
int dstride, int stride) |
339 |
|
|
{ |
340 |
|
|
int x; |
341 |
|
|
|
342 |
|
|
for (x = 0; x < width; x++) { |
343 |
|
|
int i, sum = 0; |
344 |
|
|
|
345 |
|
|
for (i = 0; i < 25; i++) |
346 |
|
|
sum += c[i][x] * matrix[i]; |
347 |
|
|
|
348 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
349 |
|
|
dst[x] = av_clip_uint8(sum); |
350 |
|
|
} |
351 |
|
|
} |
352 |
|
|
|
353 |
|
|
static void filter_3x3(uint8_t *dst, int width, |
354 |
|
|
float rdiv, float bias, const int *const matrix, |
355 |
|
|
const uint8_t *c[], int peak, int radius, |
356 |
|
|
int dstride, int stride) |
357 |
|
|
{ |
358 |
|
|
const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2]; |
359 |
|
|
const uint8_t *c3 = c[3], *c4 = c[4], *c5 = c[5]; |
360 |
|
|
const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8]; |
361 |
|
|
int x; |
362 |
|
|
|
363 |
|
|
for (x = 0; x < width; x++) { |
364 |
|
|
int sum = c0[x] * matrix[0] + c1[x] * matrix[1] + c2[x] * matrix[2] + |
365 |
|
|
c3[x] * matrix[3] + c4[x] * matrix[4] + c5[x] * matrix[5] + |
366 |
|
|
c6[x] * matrix[6] + c7[x] * matrix[7] + c8[x] * matrix[8]; |
367 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
368 |
|
|
dst[x] = av_clip_uint8(sum); |
369 |
|
|
} |
370 |
|
|
} |
371 |
|
|
|
372 |
|
|
static void filter_row(uint8_t *dst, int width, |
373 |
|
|
float rdiv, float bias, const int *const matrix, |
374 |
|
|
const uint8_t *c[], int peak, int radius, |
375 |
|
|
int dstride, int stride) |
376 |
|
|
{ |
377 |
|
|
int x; |
378 |
|
|
|
379 |
|
|
for (x = 0; x < width; x++) { |
380 |
|
|
int i, sum = 0; |
381 |
|
|
|
382 |
|
|
for (i = 0; i < 2 * radius + 1; i++) |
383 |
|
|
sum += c[i][x] * matrix[i]; |
384 |
|
|
|
385 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
386 |
|
|
dst[x] = av_clip_uint8(sum); |
387 |
|
|
} |
388 |
|
|
} |
389 |
|
|
|
390 |
|
|
static void filter_column(uint8_t *dst, int height, |
391 |
|
|
float rdiv, float bias, const int *const matrix, |
392 |
|
|
const uint8_t *c[], int peak, int radius, |
393 |
|
|
int dstride, int stride) |
394 |
|
|
{ |
395 |
|
|
int y; |
396 |
|
|
|
397 |
|
|
for (y = 0; y < height; y++) { |
398 |
|
|
int i, sum = 0; |
399 |
|
|
|
400 |
|
|
for (i = 0; i < 2 * radius + 1; i++) |
401 |
|
|
sum += c[i][0 + y * stride] * matrix[i]; |
402 |
|
|
|
403 |
|
|
sum = (int)(sum * rdiv + bias + 0.5f); |
404 |
|
|
dst[0] = av_clip_uint8(sum); |
405 |
|
|
dst += dstride; |
406 |
|
|
} |
407 |
|
|
} |
408 |
|
|
|
409 |
|
|
static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride, |
410 |
|
|
int x, int w, int y, int h, int bpc) |
411 |
|
|
{ |
412 |
|
|
int i; |
413 |
|
|
|
414 |
|
|
for (i = 0; i < 9; i++) { |
415 |
|
|
int xoff = FFABS(x + ((i % 3) - 1)); |
416 |
|
|
int yoff = FFABS(y + (i / 3) - 1); |
417 |
|
|
|
418 |
|
|
xoff = xoff >= w ? 2 * w - 1 - xoff : xoff; |
419 |
|
|
yoff = yoff >= h ? 2 * h - 1 - yoff : yoff; |
420 |
|
|
|
421 |
|
|
c[i] = src + xoff * bpc + yoff * stride; |
422 |
|
|
} |
423 |
|
|
} |
424 |
|
|
|
425 |
|
|
static void setup_5x5(int radius, const uint8_t *c[], const uint8_t *src, int stride, |
426 |
|
|
int x, int w, int y, int h, int bpc) |
427 |
|
|
{ |
428 |
|
|
int i; |
429 |
|
|
|
430 |
|
|
for (i = 0; i < 25; i++) { |
431 |
|
|
int xoff = FFABS(x + ((i % 5) - 2)); |
432 |
|
|
int yoff = FFABS(y + (i / 5) - 2); |
433 |
|
|
|
434 |
|
|
xoff = xoff >= w ? 2 * w - 1 - xoff : xoff; |
435 |
|
|
yoff = yoff >= h ? 2 * h - 1 - yoff : yoff; |
436 |
|
|
|
437 |
|
|
c[i] = src + xoff * bpc + yoff * stride; |
438 |
|
|
} |
439 |
|
|
} |
440 |
|
|
|
441 |
|
|
static void setup_7x7(int radius, const uint8_t *c[], const uint8_t *src, int stride, |
442 |
|
|
int x, int w, int y, int h, int bpc) |
443 |
|
|
{ |
444 |
|
|
int i; |
445 |
|
|
|
446 |
|
|
for (i = 0; i < 49; i++) { |
447 |
|
|
int xoff = FFABS(x + ((i % 7) - 3)); |
448 |
|
|
int yoff = FFABS(y + (i / 7) - 3); |
449 |
|
|
|
450 |
|
|
xoff = xoff >= w ? 2 * w - 1 - xoff : xoff; |
451 |
|
|
yoff = yoff >= h ? 2 * h - 1 - yoff : yoff; |
452 |
|
|
|
453 |
|
|
c[i] = src + xoff * bpc + yoff * stride; |
454 |
|
|
} |
455 |
|
|
} |
456 |
|
|
|
457 |
|
|
static void setup_row(int radius, const uint8_t *c[], const uint8_t *src, int stride, |
458 |
|
|
int x, int w, int y, int h, int bpc) |
459 |
|
|
{ |
460 |
|
|
int i; |
461 |
|
|
|
462 |
|
|
for (i = 0; i < radius * 2 + 1; i++) { |
463 |
|
|
int xoff = FFABS(x + i - radius); |
464 |
|
|
|
465 |
|
|
xoff = xoff >= w ? 2 * w - 1 - xoff : xoff; |
466 |
|
|
|
467 |
|
|
c[i] = src + xoff * bpc + y * stride; |
468 |
|
|
} |
469 |
|
|
} |
470 |
|
|
|
471 |
|
|
static void setup_column(int radius, const uint8_t *c[], const uint8_t *src, int stride, |
472 |
|
|
int x, int w, int y, int h, int bpc) |
473 |
|
|
{ |
474 |
|
|
int i; |
475 |
|
|
|
476 |
|
|
for (i = 0; i < radius * 2 + 1; i++) { |
477 |
|
|
int xoff = FFABS(x + i - radius); |
478 |
|
|
|
479 |
|
|
xoff = xoff >= h ? 2 * h - 1 - xoff : xoff; |
480 |
|
|
|
481 |
|
|
c[i] = src + y * bpc + xoff * stride; |
482 |
|
|
} |
483 |
|
|
} |
484 |
|
|
|
485 |
|
|
static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs) |
486 |
|
|
{ |
487 |
|
|
ConvolutionContext *s = ctx->priv; |
488 |
|
|
ThreadData *td = arg; |
489 |
|
|
AVFrame *in = td->in; |
490 |
|
|
AVFrame *out = td->out; |
491 |
|
|
int plane; |
492 |
|
|
|
493 |
|
|
for (plane = 0; plane < s->nb_planes; plane++) { |
494 |
|
|
const int mode = s->mode[plane]; |
495 |
|
|
const int bpc = s->bpc; |
496 |
|
|
const int radius = s->size[plane] / 2; |
497 |
|
|
const int height = s->planeheight[plane]; |
498 |
|
|
const int width = s->planewidth[plane]; |
499 |
|
|
const int stride = in->linesize[plane]; |
500 |
|
|
const int dstride = out->linesize[plane]; |
501 |
|
|
const int sizeh = mode == MATRIX_COLUMN ? width : height; |
502 |
|
|
const int sizew = mode == MATRIX_COLUMN ? height : width; |
503 |
|
|
const int slice_start = (sizeh * jobnr) / nb_jobs; |
504 |
|
|
const int slice_end = (sizeh * (jobnr+1)) / nb_jobs; |
505 |
|
|
const float rdiv = s->rdiv[plane]; |
506 |
|
|
const float bias = s->bias[plane]; |
507 |
|
|
const uint8_t *src = in->data[plane]; |
508 |
|
|
const int dst_pos = slice_start * (mode == MATRIX_COLUMN ? bpc : dstride); |
509 |
|
|
uint8_t *dst = out->data[plane] + dst_pos; |
510 |
|
|
const int *matrix = s->matrix[plane]; |
511 |
|
|
const uint8_t *c[49]; |
512 |
|
|
int y, x; |
513 |
|
|
|
514 |
|
|
if (s->copy[plane]) { |
515 |
|
|
if (mode == MATRIX_COLUMN) |
516 |
|
|
av_image_copy_plane(dst, dstride, src + slice_start * bpc, stride, |
517 |
|
|
(slice_end - slice_start) * bpc, height); |
518 |
|
|
else |
519 |
|
|
av_image_copy_plane(dst, dstride, src + slice_start * stride, stride, |
520 |
|
|
width * bpc, slice_end - slice_start); |
521 |
|
|
continue; |
522 |
|
|
} |
523 |
|
|
|
524 |
|
|
for (y = slice_start; y < slice_end; y++) { |
525 |
|
|
const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : radius * bpc; |
526 |
|
|
const int yoff = mode == MATRIX_COLUMN ? radius * stride : 0; |
527 |
|
|
|
528 |
|
|
for (x = 0; x < radius; x++) { |
529 |
|
|
const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc; |
530 |
|
|
const int yoff = mode == MATRIX_COLUMN ? x * stride : 0; |
531 |
|
|
|
532 |
|
|
s->setup[plane](radius, c, src, stride, x, width, y, height, bpc); |
533 |
|
|
s->filter[plane](dst + yoff + xoff, 1, rdiv, |
534 |
|
|
bias, matrix, c, s->max, radius, |
535 |
|
|
dstride, stride); |
536 |
|
|
} |
537 |
|
|
s->setup[plane](radius, c, src, stride, radius, width, y, height, bpc); |
538 |
|
|
s->filter[plane](dst + yoff + xoff, sizew - 2 * radius, |
539 |
|
|
rdiv, bias, matrix, c, s->max, radius, |
540 |
|
|
dstride, stride); |
541 |
|
|
for (x = sizew - radius; x < sizew; x++) { |
542 |
|
|
const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc; |
543 |
|
|
const int yoff = mode == MATRIX_COLUMN ? x * stride : 0; |
544 |
|
|
|
545 |
|
|
s->setup[plane](radius, c, src, stride, x, width, y, height, bpc); |
546 |
|
|
s->filter[plane](dst + yoff + xoff, 1, rdiv, |
547 |
|
|
bias, matrix, c, s->max, radius, |
548 |
|
|
dstride, stride); |
549 |
|
|
} |
550 |
|
|
if (mode != MATRIX_COLUMN) |
551 |
|
|
dst += dstride; |
552 |
|
|
} |
553 |
|
|
} |
554 |
|
|
|
555 |
|
|
return 0; |
556 |
|
|
} |
557 |
|
|
|
558 |
|
|
static int config_input(AVFilterLink *inlink) |
559 |
|
|
{ |
560 |
|
|
AVFilterContext *ctx = inlink->dst; |
561 |
|
|
ConvolutionContext *s = ctx->priv; |
562 |
|
|
const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format); |
563 |
|
|
int p; |
564 |
|
|
|
565 |
|
|
s->depth = desc->comp[0].depth; |
566 |
|
|
s->max = (1 << s->depth) - 1; |
567 |
|
|
|
568 |
|
|
s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w); |
569 |
|
|
s->planewidth[0] = s->planewidth[3] = inlink->w; |
570 |
|
|
s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h); |
571 |
|
|
s->planeheight[0] = s->planeheight[3] = inlink->h; |
572 |
|
|
|
573 |
|
|
s->nb_planes = av_pix_fmt_count_planes(inlink->format); |
574 |
|
|
s->nb_threads = ff_filter_get_nb_threads(ctx); |
575 |
|
|
s->bpc = (s->depth + 7) / 8; |
576 |
|
|
|
577 |
|
|
if (!strcmp(ctx->filter->name, "convolution")) { |
578 |
|
|
if (s->depth > 8) { |
579 |
|
|
for (p = 0; p < s->nb_planes; p++) { |
580 |
|
|
if (s->mode[p] == MATRIX_ROW) |
581 |
|
|
s->filter[p] = filter16_row; |
582 |
|
|
else if (s->mode[p] == MATRIX_COLUMN) |
583 |
|
|
s->filter[p] = filter16_column; |
584 |
|
|
else if (s->size[p] == 3) |
585 |
|
|
s->filter[p] = filter16_3x3; |
586 |
|
|
else if (s->size[p] == 5) |
587 |
|
|
s->filter[p] = filter16_5x5; |
588 |
|
|
else if (s->size[p] == 7) |
589 |
|
|
s->filter[p] = filter16_7x7; |
590 |
|
|
} |
591 |
|
|
} |
592 |
|
|
#if CONFIG_CONVOLUTION_FILTER && ARCH_X86_64 |
593 |
|
|
ff_convolution_init_x86(s); |
594 |
|
|
#endif |
595 |
|
|
} else if (!strcmp(ctx->filter->name, "prewitt")) { |
596 |
|
|
if (s->depth > 8) |
597 |
|
|
for (p = 0; p < s->nb_planes; p++) |
598 |
|
|
s->filter[p] = filter16_prewitt; |
599 |
|
|
} else if (!strcmp(ctx->filter->name, "roberts")) { |
600 |
|
|
if (s->depth > 8) |
601 |
|
|
for (p = 0; p < s->nb_planes; p++) |
602 |
|
|
s->filter[p] = filter16_roberts; |
603 |
|
|
} else if (!strcmp(ctx->filter->name, "sobel")) { |
604 |
|
|
if (s->depth > 8) |
605 |
|
|
for (p = 0; p < s->nb_planes; p++) |
606 |
|
|
s->filter[p] = filter16_sobel; |
607 |
|
|
} |
608 |
|
|
|
609 |
|
|
return 0; |
610 |
|
|
} |
611 |
|
|
|
612 |
|
|
static int filter_frame(AVFilterLink *inlink, AVFrame *in) |
613 |
|
|
{ |
614 |
|
|
AVFilterContext *ctx = inlink->dst; |
615 |
|
|
ConvolutionContext *s = ctx->priv; |
616 |
|
|
AVFilterLink *outlink = ctx->outputs[0]; |
617 |
|
|
AVFrame *out; |
618 |
|
|
ThreadData td; |
619 |
|
|
|
620 |
|
|
out = ff_get_video_buffer(outlink, outlink->w, outlink->h); |
621 |
|
|
if (!out) { |
622 |
|
|
av_frame_free(&in); |
623 |
|
|
return AVERROR(ENOMEM); |
624 |
|
|
} |
625 |
|
|
av_frame_copy_props(out, in); |
626 |
|
|
|
627 |
|
|
td.in = in; |
628 |
|
|
td.out = out; |
629 |
|
|
ctx->internal->execute(ctx, filter_slice, &td, NULL, FFMIN3(s->planeheight[1], s->planewidth[1], s->nb_threads)); |
630 |
|
|
|
631 |
|
|
av_frame_free(&in); |
632 |
|
|
return ff_filter_frame(outlink, out); |
633 |
|
|
} |
634 |
|
|
|
635 |
|
|
static av_cold int init(AVFilterContext *ctx) |
636 |
|
|
{ |
637 |
|
|
ConvolutionContext *s = ctx->priv; |
638 |
|
|
int i; |
639 |
|
|
|
640 |
|
|
if (!strcmp(ctx->filter->name, "convolution")) { |
641 |
|
|
for (i = 0; i < 4; i++) { |
642 |
|
|
int *matrix = (int *)s->matrix[i]; |
643 |
|
|
char *p, *arg, *saveptr = NULL; |
644 |
|
|
float sum = 0; |
645 |
|
|
|
646 |
|
|
p = s->matrix_str[i]; |
647 |
|
|
while (s->matrix_length[i] < 49) { |
648 |
|
|
if (!(arg = av_strtok(p, " ", &saveptr))) |
649 |
|
|
break; |
650 |
|
|
|
651 |
|
|
p = NULL; |
652 |
|
|
sscanf(arg, "%d", &matrix[s->matrix_length[i]]); |
653 |
|
|
sum += matrix[s->matrix_length[i]]; |
654 |
|
|
s->matrix_length[i]++; |
655 |
|
|
} |
656 |
|
|
|
657 |
|
|
if (!(s->matrix_length[i] & 1)) { |
658 |
|
|
av_log(ctx, AV_LOG_ERROR, "number of matrix elements must be odd\n"); |
659 |
|
|
return AVERROR(EINVAL); |
660 |
|
|
} |
661 |
|
|
if (s->mode[i] == MATRIX_ROW) { |
662 |
|
|
s->filter[i] = filter_row; |
663 |
|
|
s->setup[i] = setup_row; |
664 |
|
|
s->size[i] = s->matrix_length[i]; |
665 |
|
|
} else if (s->mode[i] == MATRIX_COLUMN) { |
666 |
|
|
s->filter[i] = filter_column; |
667 |
|
|
s->setup[i] = setup_column; |
668 |
|
|
s->size[i] = s->matrix_length[i]; |
669 |
|
|
} else if (s->matrix_length[i] == 9) { |
670 |
|
|
s->size[i] = 3; |
671 |
|
|
if (!memcmp(matrix, same3x3, sizeof(same3x3))) |
672 |
|
|
s->copy[i] = 1; |
673 |
|
|
else |
674 |
|
|
s->filter[i] = filter_3x3; |
675 |
|
|
s->setup[i] = setup_3x3; |
676 |
|
|
} else if (s->matrix_length[i] == 25) { |
677 |
|
|
s->size[i] = 5; |
678 |
|
|
if (!memcmp(matrix, same5x5, sizeof(same5x5))) |
679 |
|
|
s->copy[i] = 1; |
680 |
|
|
else |
681 |
|
|
s->filter[i] = filter_5x5; |
682 |
|
|
s->setup[i] = setup_5x5; |
683 |
|
|
} else if (s->matrix_length[i] == 49) { |
684 |
|
|
s->size[i] = 7; |
685 |
|
|
if (!memcmp(matrix, same7x7, sizeof(same7x7))) |
686 |
|
|
s->copy[i] = 1; |
687 |
|
|
else |
688 |
|
|
s->filter[i] = filter_7x7; |
689 |
|
|
s->setup[i] = setup_7x7; |
690 |
|
|
} else { |
691 |
|
|
return AVERROR(EINVAL); |
692 |
|
|
} |
693 |
|
|
|
694 |
|
|
if (sum == 0) |
695 |
|
|
sum = 1; |
696 |
|
|
if (s->rdiv[i] == 0) |
697 |
|
|
s->rdiv[i] = 1. / sum; |
698 |
|
|
|
699 |
|
|
if (s->copy[i] && (s->rdiv[i] != 1. || s->bias[i] != 0.)) |
700 |
|
|
s->copy[i] = 0; |
701 |
|
|
} |
702 |
|
|
} else if (!strcmp(ctx->filter->name, "prewitt")) { |
703 |
|
|
for (i = 0; i < 4; i++) { |
704 |
|
|
if ((1 << i) & s->planes) |
705 |
|
|
s->filter[i] = filter_prewitt; |
706 |
|
|
else |
707 |
|
|
s->copy[i] = 1; |
708 |
|
|
s->size[i] = 3; |
709 |
|
|
s->setup[i] = setup_3x3; |
710 |
|
|
s->rdiv[i] = s->scale; |
711 |
|
|
s->bias[i] = s->delta; |
712 |
|
|
} |
713 |
|
|
} else if (!strcmp(ctx->filter->name, "roberts")) { |
714 |
|
|
for (i = 0; i < 4; i++) { |
715 |
|
|
if ((1 << i) & s->planes) |
716 |
|
|
s->filter[i] = filter_roberts; |
717 |
|
|
else |
718 |
|
|
s->copy[i] = 1; |
719 |
|
|
s->size[i] = 3; |
720 |
|
|
s->setup[i] = setup_3x3; |
721 |
|
|
s->rdiv[i] = s->scale; |
722 |
|
|
s->bias[i] = s->delta; |
723 |
|
|
} |
724 |
|
|
} else if (!strcmp(ctx->filter->name, "sobel")) { |
725 |
|
|
for (i = 0; i < 4; i++) { |
726 |
|
|
if ((1 << i) & s->planes) |
727 |
|
|
s->filter[i] = filter_sobel; |
728 |
|
|
else |
729 |
|
|
s->copy[i] = 1; |
730 |
|
|
s->size[i] = 3; |
731 |
|
|
s->setup[i] = setup_3x3; |
732 |
|
|
s->rdiv[i] = s->scale; |
733 |
|
|
s->bias[i] = s->delta; |
734 |
|
|
} |
735 |
|
|
} |
736 |
|
|
|
737 |
|
|
return 0; |
738 |
|
|
} |
739 |
|
|
|
740 |
|
|
static const AVFilterPad convolution_inputs[] = { |
741 |
|
|
{ |
742 |
|
|
.name = "default", |
743 |
|
|
.type = AVMEDIA_TYPE_VIDEO, |
744 |
|
|
.config_props = config_input, |
745 |
|
|
.filter_frame = filter_frame, |
746 |
|
|
}, |
747 |
|
|
{ NULL } |
748 |
|
|
}; |
749 |
|
|
|
750 |
|
|
static const AVFilterPad convolution_outputs[] = { |
751 |
|
|
{ |
752 |
|
|
.name = "default", |
753 |
|
|
.type = AVMEDIA_TYPE_VIDEO, |
754 |
|
|
}, |
755 |
|
|
{ NULL } |
756 |
|
|
}; |
757 |
|
|
|
758 |
|
|
#if CONFIG_CONVOLUTION_FILTER |
759 |
|
|
|
760 |
|
|
AVFilter ff_vf_convolution = { |
761 |
|
|
.name = "convolution", |
762 |
|
|
.description = NULL_IF_CONFIG_SMALL("Apply convolution filter."), |
763 |
|
|
.priv_size = sizeof(ConvolutionContext), |
764 |
|
|
.priv_class = &convolution_class, |
765 |
|
|
.init = init, |
766 |
|
|
.query_formats = query_formats, |
767 |
|
|
.inputs = convolution_inputs, |
768 |
|
|
.outputs = convolution_outputs, |
769 |
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS, |
770 |
|
|
}; |
771 |
|
|
|
772 |
|
|
#endif /* CONFIG_CONVOLUTION_FILTER */ |
773 |
|
|
|
774 |
|
|
#if CONFIG_PREWITT_FILTER |
775 |
|
|
|
776 |
|
|
static const AVOption prewitt_options[] = { |
777 |
|
|
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS}, |
778 |
|
|
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS}, |
779 |
|
|
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS}, |
780 |
|
|
{ NULL } |
781 |
|
|
}; |
782 |
|
|
|
783 |
|
|
AVFILTER_DEFINE_CLASS(prewitt); |
784 |
|
|
|
785 |
|
|
AVFilter ff_vf_prewitt = { |
786 |
|
|
.name = "prewitt", |
787 |
|
|
.description = NULL_IF_CONFIG_SMALL("Apply prewitt operator."), |
788 |
|
|
.priv_size = sizeof(ConvolutionContext), |
789 |
|
|
.priv_class = &prewitt_class, |
790 |
|
|
.init = init, |
791 |
|
|
.query_formats = query_formats, |
792 |
|
|
.inputs = convolution_inputs, |
793 |
|
|
.outputs = convolution_outputs, |
794 |
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS, |
795 |
|
|
}; |
796 |
|
|
|
797 |
|
|
#endif /* CONFIG_PREWITT_FILTER */ |
798 |
|
|
|
799 |
|
|
#if CONFIG_SOBEL_FILTER |
800 |
|
|
|
801 |
|
|
static const AVOption sobel_options[] = { |
802 |
|
|
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS}, |
803 |
|
|
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS}, |
804 |
|
|
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS}, |
805 |
|
|
{ NULL } |
806 |
|
|
}; |
807 |
|
|
|
808 |
|
|
AVFILTER_DEFINE_CLASS(sobel); |
809 |
|
|
|
810 |
|
|
AVFilter ff_vf_sobel = { |
811 |
|
|
.name = "sobel", |
812 |
|
|
.description = NULL_IF_CONFIG_SMALL("Apply sobel operator."), |
813 |
|
|
.priv_size = sizeof(ConvolutionContext), |
814 |
|
|
.priv_class = &sobel_class, |
815 |
|
|
.init = init, |
816 |
|
|
.query_formats = query_formats, |
817 |
|
|
.inputs = convolution_inputs, |
818 |
|
|
.outputs = convolution_outputs, |
819 |
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS, |
820 |
|
|
}; |
821 |
|
|
|
822 |
|
|
#endif /* CONFIG_SOBEL_FILTER */ |
823 |
|
|
|
824 |
|
|
#if CONFIG_ROBERTS_FILTER |
825 |
|
|
|
826 |
|
|
static const AVOption roberts_options[] = { |
827 |
|
|
{ "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS}, |
828 |
|
|
{ "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS}, |
829 |
|
|
{ "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS}, |
830 |
|
|
{ NULL } |
831 |
|
|
}; |
832 |
|
|
|
833 |
|
|
AVFILTER_DEFINE_CLASS(roberts); |
834 |
|
|
|
835 |
|
|
AVFilter ff_vf_roberts = { |
836 |
|
|
.name = "roberts", |
837 |
|
|
.description = NULL_IF_CONFIG_SMALL("Apply roberts cross operator."), |
838 |
|
|
.priv_size = sizeof(ConvolutionContext), |
839 |
|
|
.priv_class = &roberts_class, |
840 |
|
|
.init = init, |
841 |
|
|
.query_formats = query_formats, |
842 |
|
|
.inputs = convolution_inputs, |
843 |
|
|
.outputs = convolution_outputs, |
844 |
|
|
.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS, |
845 |
|
|
}; |
846 |
|
|
|
847 |
|
|
#endif /* CONFIG_ROBERTS_FILTER */ |