/* * 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_GBRAP12, AV_PIX_FMT_GBRAP16,        AV_PIX_FMT_GRAY8, 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_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_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];

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