2 * Copyright (c) 2012-2013 Oka Motofumi (chikuzen.mo at gmail dot com)
3 * Copyright (c) 2015 Paul B Mahol
5 * This file is part of FFmpeg.
7 * FFmpeg is free software; you can redistribute it and/or
8 * modify it under the terms of the GNU Lesser General Public
9 * License as published by the Free Software Foundation; either
10 * version 2.1 of the License, or (at your option) any later version.
12 * FFmpeg is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
15 * Lesser General Public License for more details.
17 * You should have received a copy of the GNU Lesser General Public
18 * License along with FFmpeg; if not, write to the Free Software
19 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
22 #include "libavutil/avstring.h"
23 #include "libavutil/imgutils.h"
24 #include "libavutil/opt.h"
25 #include "libavutil/pixdesc.h"
31 typedef struct ConvolutionContext {
55 int (*filter[4])(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs);
58 #define OFFSET(x) offsetof(ConvolutionContext, x)
59 #define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
61 static const AVOption convolution_options[] = {
62 { "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 },
63 { "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 },
64 { "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 },
65 { "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 },
66 { "0rdiv", "set rdiv for 1st plane", OFFSET(rdiv[0]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
67 { "1rdiv", "set rdiv for 2nd plane", OFFSET(rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
68 { "2rdiv", "set rdiv for 3rd plane", OFFSET(rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
69 { "3rdiv", "set rdiv for 4th plane", OFFSET(rdiv[3]), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, INT_MAX, FLAGS},
70 { "0bias", "set bias for 1st plane", OFFSET(bias[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
71 { "1bias", "set bias for 2nd plane", OFFSET(bias[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
72 { "2bias", "set bias for 3rd plane", OFFSET(bias[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
73 { "3bias", "set bias for 4th plane", OFFSET(bias[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
77 AVFILTER_DEFINE_CLASS(convolution);
79 static const int same3x3[9] = {0, 0, 0,
83 static const int same5x5[25] = {0, 0, 0, 0, 0,
89 static int query_formats(AVFilterContext *ctx)
91 static const enum AVPixelFormat pix_fmts[] = {
92 AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P,
93 AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P,
94 AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P,
95 AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P,
96 AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
97 AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9,
98 AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10,
99 AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12,
100 AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14,
101 AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16,
102 AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9,
103 AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10,
104 AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16,
105 AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
106 AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
107 AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
108 AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY16,
112 return ff_set_common_formats(ctx, ff_make_format_list(pix_fmts));
115 static inline void line_copy8(uint8_t *line, const uint8_t *srcp, int width, int mergin)
119 memcpy(line, srcp, width);
121 for (i = mergin; i > 0; i--) {
123 line[width - 1 + i] = line[width - 1 - i];
127 static inline void line_copy16(uint16_t *line, const uint16_t *srcp, int width, int mergin)
131 memcpy(line, srcp, width * 2);
133 for (i = mergin; i > 0; i--) {
135 line[width - 1 + i] = line[width - 1 - i];
139 typedef struct ThreadData {
144 static int filter16_prewitt(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
146 ConvolutionContext *s = ctx->priv;
147 ThreadData *td = arg;
148 AVFrame *in = td->in;
149 AVFrame *out = td->out;
150 const int plane = td->plane;
151 const int peak = (1 << s->depth) - 1;
152 const int stride = in->linesize[plane] / 2;
153 const int bstride = s->bstride;
154 const int height = s->planeheight[plane];
155 const int width = s->planewidth[plane];
156 const int slice_start = (height * jobnr) / nb_jobs;
157 const int slice_end = (height * (jobnr+1)) / nb_jobs;
158 const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
159 uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
160 const float scale = s->scale;
161 const float delta = s->delta;
162 uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
163 uint16_t *p1 = p0 + bstride;
164 uint16_t *p2 = p1 + bstride;
165 uint16_t *orig = p0, *end = p2;
168 line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
169 line_copy16(p1, src, width, 1);
171 for (y = slice_start; y < slice_end; y++) {
172 src += stride * (y < height - 1 ? 1 : -1);
173 line_copy16(p2, src, width, 1);
175 for (x = 0; x < width; x++) {
176 int suma = p0[x - 1] * -1 +
182 int sumb = p0[x - 1] * -1 +
189 dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
194 p2 = (p2 == end) ? orig: p2 + bstride;
195 dst += out->linesize[plane] / 2;
201 static int filter16_sobel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
203 ConvolutionContext *s = ctx->priv;
204 ThreadData *td = arg;
205 AVFrame *in = td->in;
206 AVFrame *out = td->out;
207 const int plane = td->plane;
208 const int peak = (1 << s->depth) - 1;
209 const int stride = in->linesize[plane] / 2;
210 const int bstride = s->bstride;
211 const int height = s->planeheight[plane];
212 const int width = s->planewidth[plane];
213 const int slice_start = (height * jobnr) / nb_jobs;
214 const int slice_end = (height * (jobnr+1)) / nb_jobs;
215 const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
216 uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
217 const float scale = s->scale;
218 const float delta = s->delta;
219 uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
220 uint16_t *p1 = p0 + bstride;
221 uint16_t *p2 = p1 + bstride;
222 uint16_t *orig = p0, *end = p2;
225 line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
226 line_copy16(p1, src, width, 1);
228 for (y = slice_start; y < slice_end; y++) {
229 src += stride * (y < height - 1 ? 1 : -1);
230 line_copy16(p2, src, width, 1);
232 for (x = 0; x < width; x++) {
233 int suma = p0[x - 1] * -1 +
239 int sumb = p0[x - 1] * -1 +
246 dst[x] = av_clip(sqrt(suma*suma + sumb*sumb) * scale + delta, 0, peak);
251 p2 = (p2 == end) ? orig: p2 + bstride;
252 dst += out->linesize[plane] / 2;
258 static int filter_prewitt(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
260 ConvolutionContext *s = ctx->priv;
261 ThreadData *td = arg;
262 AVFrame *in = td->in;
263 AVFrame *out = td->out;
264 const int plane = td->plane;
265 const int stride = in->linesize[plane];
266 const int bstride = s->bstride;
267 const int height = s->planeheight[plane];
268 const int width = s->planewidth[plane];
269 const int slice_start = (height * jobnr) / nb_jobs;
270 const int slice_end = (height * (jobnr+1)) / nb_jobs;
271 const uint8_t *src = in->data[plane] + slice_start * stride;
272 uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
273 const float scale = s->scale;
274 const float delta = s->delta;
275 uint8_t *p0 = s->bptrs[jobnr] + 16;
276 uint8_t *p1 = p0 + bstride;
277 uint8_t *p2 = p1 + bstride;
278 uint8_t *orig = p0, *end = p2;
281 line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
282 line_copy8(p1, src, width, 1);
284 for (y = slice_start; y < slice_end; y++) {
285 src += stride * (y < height - 1 ? 1 : -1);
286 line_copy8(p2, src, width, 1);
288 for (x = 0; x < width; x++) {
289 int suma = p0[x - 1] * -1 +
295 int sumb = p0[x - 1] * -1 +
302 dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
307 p2 = (p2 == end) ? orig: p2 + bstride;
308 dst += out->linesize[plane];
314 static int filter_sobel(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
316 ConvolutionContext *s = ctx->priv;
317 ThreadData *td = arg;
318 AVFrame *in = td->in;
319 AVFrame *out = td->out;
320 const int plane = td->plane;
321 const int stride = in->linesize[plane];
322 const int bstride = s->bstride;
323 const int height = s->planeheight[plane];
324 const int width = s->planewidth[plane];
325 const int slice_start = (height * jobnr) / nb_jobs;
326 const int slice_end = (height * (jobnr+1)) / nb_jobs;
327 const uint8_t *src = in->data[plane] + slice_start * stride;
328 uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
329 const float scale = s->scale;
330 const float delta = s->delta;
331 uint8_t *p0 = s->bptrs[jobnr] + 16;
332 uint8_t *p1 = p0 + bstride;
333 uint8_t *p2 = p1 + bstride;
334 uint8_t *orig = p0, *end = p2;
337 line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
338 line_copy8(p1, src, width, 1);
340 for (y = slice_start; y < slice_end; y++) {
341 src += stride * (y < height - 1 ? 1 : -1);
342 line_copy8(p2, src, width, 1);
344 for (x = 0; x < width; x++) {
345 int suma = p0[x - 1] * -1 +
351 int sumb = p0[x - 1] * -1 +
358 dst[x] = av_clip_uint8(sqrt(suma*suma + sumb*sumb) * scale + delta);
363 p2 = (p2 == end) ? orig: p2 + bstride;
364 dst += out->linesize[plane];
370 static int filter16_3x3(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
372 ConvolutionContext *s = ctx->priv;
373 ThreadData *td = arg;
374 AVFrame *in = td->in;
375 AVFrame *out = td->out;
376 const int plane = td->plane;
377 const int peak = (1 << s->depth) - 1;
378 const int stride = in->linesize[plane] / 2;
379 const int bstride = s->bstride;
380 const int height = s->planeheight[plane];
381 const int width = s->planewidth[plane];
382 const int slice_start = (height * jobnr) / nb_jobs;
383 const int slice_end = (height * (jobnr+1)) / nb_jobs;
384 const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
385 uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
386 uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
387 uint16_t *p1 = p0 + bstride;
388 uint16_t *p2 = p1 + bstride;
389 uint16_t *orig = p0, *end = p2;
390 const int *matrix = s->matrix[plane];
391 const float rdiv = s->rdiv[plane];
392 const float bias = s->bias[plane];
395 line_copy16(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
396 line_copy16(p1, src, width, 1);
398 for (y = slice_start; y < slice_end; y++) {
399 src += stride * (y < height - 1 ? 1 : -1);
400 line_copy16(p2, src, width, 1);
402 for (x = 0; x < width; x++) {
403 int sum = p0[x - 1] * matrix[0] +
405 p0[x + 1] * matrix[2] +
406 p1[x - 1] * matrix[3] +
408 p1[x + 1] * matrix[5] +
409 p2[x - 1] * matrix[6] +
411 p2[x + 1] * matrix[8];
412 sum = (int)(sum * rdiv + bias + 0.5f);
413 dst[x] = av_clip(sum, 0, peak);
418 p2 = (p2 == end) ? orig: p2 + bstride;
419 dst += out->linesize[plane] / 2;
425 static int filter16_5x5(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
427 ConvolutionContext *s = ctx->priv;
428 ThreadData *td = arg;
429 AVFrame *in = td->in;
430 AVFrame *out = td->out;
431 const int plane = td->plane;
432 const int peak = (1 << s->depth) - 1;
433 const int stride = in->linesize[plane] / 2;
434 const int bstride = s->bstride;
435 const int height = s->planeheight[plane];
436 const int width = s->planewidth[plane];
437 const int slice_start = (height * jobnr) / nb_jobs;
438 const int slice_end = (height * (jobnr+1)) / nb_jobs;
439 const uint16_t *src = (const uint16_t *)in->data[plane] + slice_start * stride;
440 uint16_t *dst = (uint16_t *)out->data[plane] + slice_start * (out->linesize[plane] / 2);
441 uint16_t *p0 = (uint16_t *)s->bptrs[jobnr] + 16;
442 uint16_t *p1 = p0 + bstride;
443 uint16_t *p2 = p1 + bstride;
444 uint16_t *p3 = p2 + bstride;
445 uint16_t *p4 = p3 + bstride;
446 uint16_t *orig = p0, *end = p4;
447 const int *matrix = s->matrix[plane];
448 float rdiv = s->rdiv[plane];
449 float bias = s->bias[plane];
452 line_copy16(p0, src + 2 * stride * (slice_start < 2 ? 1 : -1), width, 2);
453 line_copy16(p1, src + stride * (slice_start == 0 ? 1 : -1), width, 2);
454 line_copy16(p2, src, width, 2);
456 line_copy16(p3, src, width, 2);
458 for (y = slice_start; y < slice_end; y++) {
459 uint16_t *array[] = {
460 p0 - 2, p0 - 1, p0, p0 + 1, p0 + 2,
461 p1 - 2, p1 - 1, p1, p1 + 1, p1 + 2,
462 p2 - 2, p2 - 1, p2, p2 + 1, p2 + 2,
463 p3 - 2, p3 - 1, p3, p3 + 1, p3 + 2,
464 p4 - 2, p4 - 1, p4, p4 + 1, p4 + 2
467 src += stride * (y < height - 2 ? 1 : -1);
468 line_copy16(p4, src, width, 2);
470 for (x = 0; x < width; x++) {
473 for (i = 0; i < 25; i++) {
474 sum += *(array[i] + x) * matrix[i];
476 sum = (int)(sum * rdiv + bias + 0.5f);
477 dst[x] = av_clip(sum, 0, peak);
484 p4 = (p4 == end) ? orig: p4 + bstride;
485 dst += out->linesize[plane] / 2;
491 static int filter_3x3(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
493 ConvolutionContext *s = ctx->priv;
494 ThreadData *td = arg;
495 AVFrame *in = td->in;
496 AVFrame *out = td->out;
497 const int plane = td->plane;
498 const int stride = in->linesize[plane];
499 const int bstride = s->bstride;
500 const int height = s->planeheight[plane];
501 const int width = s->planewidth[plane];
502 const int slice_start = (height * jobnr) / nb_jobs;
503 const int slice_end = (height * (jobnr+1)) / nb_jobs;
504 const uint8_t *src = in->data[plane] + slice_start * stride;
505 uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
506 uint8_t *p0 = s->bptrs[jobnr] + 16;
507 uint8_t *p1 = p0 + bstride;
508 uint8_t *p2 = p1 + bstride;
509 uint8_t *orig = p0, *end = p2;
510 const int *matrix = s->matrix[plane];
511 const float rdiv = s->rdiv[plane];
512 const float bias = s->bias[plane];
515 line_copy8(p0, src + stride * (slice_start == 0 ? 1 : -1), width, 1);
516 line_copy8(p1, src, width, 1);
518 for (y = slice_start; y < slice_end; y++) {
519 src += stride * (y < height - 1 ? 1 : -1);
520 line_copy8(p2, src, width, 1);
522 for (x = 0; x < width; x++) {
523 int sum = p0[x - 1] * matrix[0] +
525 p0[x + 1] * matrix[2] +
526 p1[x - 1] * matrix[3] +
528 p1[x + 1] * matrix[5] +
529 p2[x - 1] * matrix[6] +
531 p2[x + 1] * matrix[8];
532 sum = (int)(sum * rdiv + bias + 0.5f);
533 dst[x] = av_clip_uint8(sum);
538 p2 = (p2 == end) ? orig: p2 + bstride;
539 dst += out->linesize[plane];
545 static int filter_5x5(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
547 ConvolutionContext *s = ctx->priv;
548 ThreadData *td = arg;
549 AVFrame *in = td->in;
550 AVFrame *out = td->out;
551 const int plane = td->plane;
552 const int stride = in->linesize[plane];
553 const int bstride = s->bstride;
554 const int height = s->planeheight[plane];
555 const int width = s->planewidth[plane];
556 const int slice_start = (height * jobnr) / nb_jobs;
557 const int slice_end = (height * (jobnr+1)) / nb_jobs;
558 const uint8_t *src = in->data[plane] + slice_start * stride;
559 uint8_t *dst = out->data[plane] + slice_start * out->linesize[plane];
560 uint8_t *p0 = s->bptrs[jobnr] + 16;
561 uint8_t *p1 = p0 + bstride;
562 uint8_t *p2 = p1 + bstride;
563 uint8_t *p3 = p2 + bstride;
564 uint8_t *p4 = p3 + bstride;
565 uint8_t *orig = p0, *end = p4;
566 const int *matrix = s->matrix[plane];
567 float rdiv = s->rdiv[plane];
568 float bias = s->bias[plane];
571 line_copy8(p0, src + 2 * stride * (slice_start < 2 ? 1 : -1), width, 2);
572 line_copy8(p1, src + stride * (slice_start == 0 ? 1 : -1), width, 2);
573 line_copy8(p2, src, width, 2);
575 line_copy8(p3, src, width, 2);
578 for (y = slice_start; y < slice_end; y++) {
580 p0 - 2, p0 - 1, p0, p0 + 1, p0 + 2,
581 p1 - 2, p1 - 1, p1, p1 + 1, p1 + 2,
582 p2 - 2, p2 - 1, p2, p2 + 1, p2 + 2,
583 p3 - 2, p3 - 1, p3, p3 + 1, p3 + 2,
584 p4 - 2, p4 - 1, p4, p4 + 1, p4 + 2
587 src += stride * (y < height - 2 ? 1 : -1);
588 line_copy8(p4, src, width, 2);
590 for (x = 0; x < width; x++) {
593 for (i = 0; i < 25; i++) {
594 sum += *(array[i] + x) * matrix[i];
596 sum = (int)(sum * rdiv + bias + 0.5f);
597 dst[x] = av_clip_uint8(sum);
604 p4 = (p4 == end) ? orig: p4 + bstride;
605 dst += out->linesize[plane];
611 static int config_input(AVFilterLink *inlink)
613 AVFilterContext *ctx = inlink->dst;
614 ConvolutionContext *s = ctx->priv;
615 const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
618 s->depth = desc->comp[0].depth;
620 s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
621 s->planewidth[0] = s->planewidth[3] = inlink->w;
622 s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
623 s->planeheight[0] = s->planeheight[3] = inlink->h;
625 s->nb_planes = av_pix_fmt_count_planes(inlink->format);
626 s->nb_threads = ff_filter_get_nb_threads(ctx);
627 s->bptrs = av_calloc(s->nb_threads, sizeof(*s->bptrs));
629 return AVERROR(ENOMEM);
631 s->bstride = s->planewidth[0] + 32;
632 s->bpc = (s->depth + 7) / 8;
633 s->buffer = av_malloc_array(5 * s->bstride * s->nb_threads, s->bpc);
635 return AVERROR(ENOMEM);
637 for (p = 0; p < s->nb_threads; p++) {
638 s->bptrs[p] = s->buffer + 5 * s->bstride * s->bpc * p;
641 if (!strcmp(ctx->filter->name, "convolution")) {
643 for (p = 0; p < s->nb_planes; p++) {
645 s->filter[p] = filter16_3x3;
646 else if (s->size[p] == 5)
647 s->filter[p] = filter16_5x5;
650 } else if (!strcmp(ctx->filter->name, "prewitt")) {
652 for (p = 0; p < s->nb_planes; p++)
653 s->filter[p] = filter16_prewitt;
654 } else if (!strcmp(ctx->filter->name, "sobel")) {
656 for (p = 0; p < s->nb_planes; p++)
657 s->filter[p] = filter16_sobel;
663 static int filter_frame(AVFilterLink *inlink, AVFrame *in)
665 AVFilterContext *ctx = inlink->dst;
666 ConvolutionContext *s = ctx->priv;
667 AVFilterLink *outlink = ctx->outputs[0];
671 out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
674 return AVERROR(ENOMEM);
676 av_frame_copy_props(out, in);
678 for (plane = 0; plane < s->nb_planes; plane++) {
681 if (s->copy[plane]) {
682 av_image_copy_plane(out->data[plane], out->linesize[plane],
683 in->data[plane], in->linesize[plane],
684 s->planewidth[plane] * s->bpc,
685 s->planeheight[plane]);
692 ctx->internal->execute(ctx, s->filter[plane], &td, NULL, FFMIN(s->planeheight[plane], s->nb_threads));
696 return ff_filter_frame(outlink, out);
699 static av_cold int init(AVFilterContext *ctx)
701 ConvolutionContext *s = ctx->priv;
704 if (!strcmp(ctx->filter->name, "convolution")) {
705 for (i = 0; i < 4; i++) {
706 int *matrix = (int *)s->matrix[i];
707 char *p, *arg, *saveptr = NULL;
709 p = s->matrix_str[i];
710 while (s->matrix_length[i] < 25) {
711 if (!(arg = av_strtok(p, " ", &saveptr)))
715 sscanf(arg, "%d", &matrix[s->matrix_length[i]]);
716 s->matrix_length[i]++;
719 if (s->matrix_length[i] == 9) {
721 if (!memcmp(matrix, same3x3, sizeof(same3x3)))
724 s->filter[i] = filter_3x3;
725 } else if (s->matrix_length[i] == 25) {
727 if (!memcmp(matrix, same5x5, sizeof(same5x5)))
730 s->filter[i] = filter_5x5;
732 return AVERROR(EINVAL);
735 } else if (!strcmp(ctx->filter->name, "prewitt")) {
736 for (i = 0; i < 4; i++) {
737 if ((1 << i) & s->planes)
738 s->filter[i] = filter_prewitt;
742 } else if (!strcmp(ctx->filter->name, "sobel")) {
743 for (i = 0; i < 4; i++) {
744 if ((1 << i) & s->planes)
745 s->filter[i] = filter_sobel;
754 static av_cold void uninit(AVFilterContext *ctx)
756 ConvolutionContext *s = ctx->priv;
759 av_freep(&s->buffer);
762 static const AVFilterPad convolution_inputs[] = {
765 .type = AVMEDIA_TYPE_VIDEO,
766 .config_props = config_input,
767 .filter_frame = filter_frame,
772 static const AVFilterPad convolution_outputs[] = {
775 .type = AVMEDIA_TYPE_VIDEO,
780 #if CONFIG_CONVOLUTION_FILTER
782 AVFilter ff_vf_convolution = {
783 .name = "convolution",
784 .description = NULL_IF_CONFIG_SMALL("Apply convolution filter."),
785 .priv_size = sizeof(ConvolutionContext),
786 .priv_class = &convolution_class,
789 .query_formats = query_formats,
790 .inputs = convolution_inputs,
791 .outputs = convolution_outputs,
792 .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
795 #endif /* CONFIG_CONVOLUTION_FILTER */
797 #if CONFIG_PREWITT_FILTER
799 static const AVOption prewitt_options[] = {
800 { "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
801 { "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
802 { "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
806 AVFILTER_DEFINE_CLASS(prewitt);
808 AVFilter ff_vf_prewitt = {
810 .description = NULL_IF_CONFIG_SMALL("Apply prewitt operator."),
811 .priv_size = sizeof(ConvolutionContext),
812 .priv_class = &prewitt_class,
815 .query_formats = query_formats,
816 .inputs = convolution_inputs,
817 .outputs = convolution_outputs,
818 .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
821 #endif /* CONFIG_PREWITT_FILTER */
823 #if CONFIG_SOBEL_FILTER
825 static const AVOption sobel_options[] = {
826 { "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
827 { "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
828 { "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
832 AVFILTER_DEFINE_CLASS(sobel);
834 AVFilter ff_vf_sobel = {
836 .description = NULL_IF_CONFIG_SMALL("Apply sobel operator."),
837 .priv_size = sizeof(ConvolutionContext),
838 .priv_class = &sobel_class,
841 .query_formats = query_formats,
842 .inputs = convolution_inputs,
843 .outputs = convolution_outputs,
844 .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
847 #endif /* CONFIG_SOBEL_FILTER */