| /* |
| * Copyright (c) 2012-2013 Oka Motofumi (chikuzen.mo at gmail dot com) |
| * Copyright (c) 2015 Paul B Mahol |
| * |
| * This file is part of FFmpeg. |
| * |
| * FFmpeg is free software; you can redistribute it and/or |
| * modify it under the terms of the GNU Lesser General Public |
| * License as published by the Free Software Foundation; either |
| * version 2.1 of the License, or (at your option) any later version. |
| * |
| * FFmpeg is distributed in the hope that it will be useful, |
| * but WITHOUT ANY WARRANTY; without even the implied warranty of |
| * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
| * Lesser General Public License for more details. |
| * |
| * You should have received a copy of the GNU Lesser General Public |
| * License along with FFmpeg; if not, write to the Free Software |
| * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA |
| */ |
| |
| #include "libavutil/avstring.h" |
| #include "libavutil/imgutils.h" |
| #include "libavutil/opt.h" |
| #include "libavutil/pixdesc.h" |
| #include "avfilter.h" |
| #include "formats.h" |
| #include "internal.h" |
| #include "video.h" |
| |
| typedef struct ConvolutionContext { |
| const AVClass *class; |
| |
| char *matrix_str[4]; |
| float rdiv[4]; |
| float bias[4]; |
| float scale; |
| float delta; |
| int planes; |
| |
| int size[4]; |
| int depth; |
| int bpc; |
| int bstride; |
| uint8_t *buffer; |
| uint8_t **bptrs; |
| int nb_planes; |
| int nb_threads; |
| int planewidth[4]; |
| int planeheight[4]; |
| int matrix[4][25]; |
| int matrix_length[4]; |
| int copy[4]; |
| |
| int (*filter[4])(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs); |
| } ConvolutionContext; |
| |
| #define OFFSET(x) offsetof(ConvolutionContext, x) |
| #define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM |
| |
| static const AVOption convolution_options[] = { |
| { "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 }, |
| { "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 }, |
| { "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 }, |
| { "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 }, |
| { "0rdiv", "set rdiv for 1st plane", OFFSET(rdiv[0]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
| { "1rdiv", "set rdiv for 2nd plane", OFFSET(rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
| { "2rdiv", "set rdiv for 3rd plane", OFFSET(rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
| { "3rdiv", "set rdiv for 4th plane", OFFSET(rdiv[3]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS}, |
| { "0bias", "set bias for 1st plane", OFFSET(bias[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
| { "1bias", "set bias for 2nd plane", OFFSET(bias[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
| { "2bias", "set bias for 3rd plane", OFFSET(bias[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
| { "3bias", "set bias for 4th plane", OFFSET(bias[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS}, |
| { NULL } |
| }; |
| |
| AVFILTER_DEFINE_CLASS(convolution); |
| |
| static const int same3x3[9] = {0, 0, 0, |
| 0, 1, 0, |
| 0, 0, 0}; |
| |
| static const int same5x5[25] = {0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0, |
| 0, 0, 1, 0, 0, |
| 0, 0, 0, 0, 0, |
| 0, 0, 0, 0, 0}; |
| |
| static int query_formats(AVFilterContext *ctx) |
| { |
| static const enum AVPixelFormat pix_fmts[] = { |
| AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P, |
| AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P, |
| AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P, |
| AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P, |
| AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P, |
| AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9, |
| AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10, |
| AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12, |
| AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14, |
| AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16, |
| AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9, |
| AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10, |
| AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16, |
| AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10, |
| AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16, |
| AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16, |
| AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY9, AV_PIX_FMT_GRAY10, AV_PIX_FMT_GRAY12, AV_PIX_FMT_GRAY16, |
| AV_PIX_FMT_NONE |
| }; |
| |
| return ff_set_common_formats(ctx, ff_make_format_list(pix_fmts)); |
| } |
| |
| static inline void line_copy8(uint8_t *line, const uint8_t *srcp, int width, int mergin) |
| { |
| int i; |
| |
| memcpy(line, srcp, width); |
| |
| for (i = mergin; i > 0; i--) { |
| line[-i] = line[i]; |
| line[width - 1 + i] = line[width - 1 - i]; |
| } |
| } |
| |
| static inline void line_copy16(uint16_t *line, const uint16_t *srcp, int width, int mergin) |
| { |
| int i; |
| |
| memcpy(line, srcp, width * 2); |
| |
| for (i = mergin; i > 0; i--) { |
| line[-i] = line[i]; |
| line[width - 1 + i] = line[width - 1 - i]; |
| } |
| } |
| |
| typedef struct ThreadData { |
| AVFrame *in, *out; |
| int plane; |
| } ThreadData; |
| |
| static int filter16_prewitt(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); |
| const float scale = s->scale; |
| const float delta = s->delta; |
| uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16; |
| uint16_t *p1 = p0 + bstride; |
| uint16_t *p2 = p1 + bstride; |
| uint16_t *orig = p0, *end = p2; |
| int y, x; |
| |
| line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1); |
| line_copy16(p1, src, width, 1); |
| |
| for (y = slice_start; y < slice_end; y++) { |
| src += stride * (y < height - 1 ? 1 : -1); |
| line_copy16(p2, src, width, 1); |
| |
| for (x = 0; x < width; x++) { |
| int suma = p0[x - 1] * -1 + |
| p0[x] * -1 + |
| p0[x + 1] * -1 + |
| p2[x - 1] * 1 + |
| p2[x] * 1 + |
| p2[x + 1] * 1; |
| int sumb = p0[x - 1] * -1 + |
| p0[x + 1] * 1 + |
| p1[x - 1] * -1 + |
| p1[x + 1] * 1 + |
| p2[x - 1] * -1 + |
| p2[x + 1] * 1; |
| |
| dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak); |
| } |
| |
| p0 = p1; |
| p1 = p2; |
| p2 = (p2 == end) ? orig: p2 + bstride; |
| dst += out->linesize[plane] / 2; |
| } |
| |
| return 0; |
| } |
| |
| static int filter16_roberts(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); |
| const float scale = s->scale; |
| const float delta = s->delta; |
| uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16; |
| uint16_t *p1 = p0 + bstride; |
| uint16_t *p2 = p1 + bstride; |
| uint16_t *orig = p0, *end = p2; |
| int y, x; |
| |
| line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1); |
| line_copy16(p1, src, width, 1); |
| |
| for (y = slice_start; y < slice_end; y++) { |
| src += stride * (y < height - 1 ? 1 : -1); |
| line_copy16(p2, src, width, 1); |
| |
| for (x = 0; x < width; x++) { |
| int suma = p0[x - 1] * 1 + |
| p1[x ] * -1; |
| int sumb = p0[x ] * 1 + |
| p1[x - 1] * -1; |
| |
| dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak); |
| } |
| |
| p0 = p1; |
| p1 = p2; |
| p2 = (p2 == end) ? orig: p2 + bstride; |
| dst += out->linesize[plane] / 2; |
| } |
| |
| return 0; |
| } |
| |
| static int filter16_sobel(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); |
| const float scale = s->scale; |
| const float delta = s->delta; |
| uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16; |
| uint16_t *p1 = p0 + bstride; |
| uint16_t *p2 = p1 + bstride; |
| uint16_t *orig = p0, *end = p2; |
| int y, x; |
| |
| line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1); |
| line_copy16(p1, src, width, 1); |
| |
| for (y = slice_start; y < slice_end; y++) { |
| src += stride * (y < height - 1 ? 1 : -1); |
| line_copy16(p2, src, width, 1); |
| |
| for (x = 0; x < width; x++) { |
| int suma = p0[x - 1] * -1 + |
| p0[x] * -2 + |
| p0[x + 1] * -1 + |
| p2[x - 1] * 1 + |
| p2[x] * 2 + |
| p2[x + 1] * 1; |
| int sumb = p0[x - 1] * -1 + |
| p0[x + 1] * 1 + |
| p1[x - 1] * -2 + |
| p1[x + 1] * 2 + |
| p2[x - 1] * -1 + |
| p2[x + 1] * 1; |
| |
| dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak); |
| } |
| |
| p0 = p1; |
| p1 = p2; |
| p2 = (p2 == end) ? orig: p2 + bstride; |
| dst += out->linesize[plane] / 2; |
| } |
| |
| return 0; |
| } |
| |
| static int filter_prewitt(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]; |
| const float scale = s->scale; |
| const float delta = s->delta; |
| uint8_t *p0 = s->bptrs[jobnr] + 16; |
| uint8_t *p1 = p0 + bstride; |
| uint8_t *p2 = p1 + bstride; |
| uint8_t *orig = p0, *end = p2; |
| 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 suma = p0[x - 1] * -1 + |
| p0[x] * -1 + |
| p0[x + 1] * -1 + |
| p2[x - 1] * 1 + |
| p2[x] * 1 + |
| p2[x + 1] * 1; |
| int sumb = p0[x - 1] * -1 + |
| p0[x + 1] * 1 + |
| p1[x - 1] * -1 + |
| p1[x + 1] * 1 + |
| p2[x - 1] * -1 + |
| p2[x + 1] * 1; |
| |
| dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta); |
| } |
| |
| p0 = p1; |
| p1 = p2; |
| p2 = (p2 == end) ? orig: p2 + bstride; |
| dst += out->linesize[plane]; |
| } |
| |
| return 0; |
| } |
| |
| static int filter_roberts(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]; |
| const float scale = s->scale; |
| const float delta = s->delta; |
| uint8_t *p0 = s->bptrs[jobnr] + 16; |
| uint8_t *p1 = p0 + bstride; |
| uint8_t *p2 = p1 + bstride; |
| uint8_t *orig = p0, *end = p2; |
| 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 suma = p0[x - 1] * 1 + |
| p1[x ] * -1; |
| int sumb = p0[x ] * 1 + |
| p1[x - 1] * -1; |
| |
| dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta); |
| } |
| |
| p0 = p1; |
| p1 = p2; |
| p2 = (p2 == end) ? orig: p2 + bstride; |
| dst += out->linesize[plane]; |
| } |
| |
| return 0; |
| } |
| |
| static int filter_sobel(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]; |
| const float scale = s->scale; |
| const float delta = s->delta; |
| uint8_t *p0 = s->bptrs[jobnr] + 16; |
| uint8_t *p1 = p0 + bstride; |
| uint8_t *p2 = p1 + bstride; |
| uint8_t *orig = p0, *end = p2; |
| 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 suma = p0[x - 1] * -1 + |
| p0[x] * -2 + |
| p0[x + 1] * -1 + |
| p2[x - 1] * 1 + |
| p2[x] * 2 + |
| p2[x + 1] * 1; |
| int sumb = p0[x - 1] * -1 + |
| p0[x + 1] * 1 + |
| p1[x - 1] * -2 + |
| p1[x + 1] * 2 + |
| p2[x - 1] * -1 + |
| p2[x + 1] * 1; |
| |
| dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta); |
| } |
| |
| p0 = p1; |
| p1 = p2; |
| p2 = (p2 == end) ? orig: p2 + bstride; |
| dst += out->linesize[plane]; |
| } |
| |
| return 0; |
| } |
| |
| static int filter16_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 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 *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_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1); |
| line_copy16(p1, src, width, 1); |
| |
| for (y = slice_start; y < slice_end; y++) { |
| src += stride * (y < height - 1 ? 1 : -1); |
| line_copy16(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(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, "roberts")) { |
| if (s->depth > 8) |
| for (p = 0; p < s->nb_planes; p++) |
| s->filter[p] = filter16_roberts; |
| } 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, "roberts")) { |
| for (i = 0; i < 4; i++) { |
| if ((1 << i) & s->planes) |
| s->filter[i] = filter_roberts; |
| 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 */ |
| |
| #if CONFIG_ROBERTS_FILTER |
| |
| static const AVOption roberts_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(roberts); |
| |
| AVFilter ff_vf_roberts = { |
| .name = "roberts", |
| .description = NULL_IF_CONFIG_SMALL("Apply roberts cross operator."), |
| .priv_size = sizeof(ConvolutionContext), |
| .priv_class = &roberts_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_ROBERTS_FILTER */ |
