FFmpeg
vf_convolution.c
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1 /*
2  * Copyright (c) 2012-2013 Oka Motofumi (chikuzen.mo at gmail dot com)
3  * Copyright (c) 2015 Paul B Mahol
4  *
5  * This file is part of FFmpeg.
6  *
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.
11  *
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.
16  *
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
20  */
21 
22 #include "config_components.h"
23 
24 #include "libavutil/avstring.h"
25 #include "libavutil/imgutils.h"
26 #include "libavutil/intreadwrite.h"
27 #include "libavutil/mem_internal.h"
28 #include "libavutil/opt.h"
29 #include "libavutil/pixdesc.h"
30 #include "avfilter.h"
31 #include "convolution.h"
32 #include "formats.h"
33 #include "internal.h"
34 #include "video.h"
35 
36 #define OFFSET(x) offsetof(ConvolutionContext, x)
37 #define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_RUNTIME_PARAM
38 
39 static const AVOption convolution_options[] = {
40  { "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 },
41  { "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 },
42  { "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 },
43  { "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 },
44  { "0rdiv", "set rdiv for 1st plane", OFFSET(rdiv[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
45  { "1rdiv", "set rdiv for 2nd plane", OFFSET(rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
46  { "2rdiv", "set rdiv for 3rd plane", OFFSET(rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
47  { "3rdiv", "set rdiv for 4th plane", OFFSET(rdiv[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
48  { "0bias", "set bias for 1st plane", OFFSET(bias[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
49  { "1bias", "set bias for 2nd plane", OFFSET(bias[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
50  { "2bias", "set bias for 3rd plane", OFFSET(bias[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
51  { "3bias", "set bias for 4th plane", OFFSET(bias[3]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
52  { "0mode", "set matrix mode for 1st plane", OFFSET(mode[0]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" },
53  { "1mode", "set matrix mode for 2nd plane", OFFSET(mode[1]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" },
54  { "2mode", "set matrix mode for 3rd plane", OFFSET(mode[2]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" },
55  { "3mode", "set matrix mode for 4th plane", OFFSET(mode[3]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, "mode" },
56  { "square", "square matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_SQUARE}, 0, 0, FLAGS, "mode" },
57  { "row", "single row matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_ROW} , 0, 0, FLAGS, "mode" },
58  { "column", "single column matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_COLUMN}, 0, 0, FLAGS, "mode" },
59  { NULL }
60 };
61 
62 AVFILTER_DEFINE_CLASS(convolution);
63 
64 static const int same3x3[9] = {0, 0, 0,
65  0, 1, 0,
66  0, 0, 0};
67 
68 static const int same5x5[25] = {0, 0, 0, 0, 0,
69  0, 0, 0, 0, 0,
70  0, 0, 1, 0, 0,
71  0, 0, 0, 0, 0,
72  0, 0, 0, 0, 0};
73 
74 static const int same7x7[49] = {0, 0, 0, 0, 0, 0, 0,
75  0, 0, 0, 0, 0, 0, 0,
76  0, 0, 0, 0, 0, 0, 0,
77  0, 0, 0, 1, 0, 0, 0,
78  0, 0, 0, 0, 0, 0, 0,
79  0, 0, 0, 0, 0, 0, 0,
80  0, 0, 0, 0, 0, 0, 0};
81 
82 static const enum AVPixelFormat pix_fmts[] = {
83  AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P,
84  AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P,
85  AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P,
86  AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P,
87  AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
88  AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9,
89  AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10,
90  AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12,
91  AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14,
92  AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16,
93  AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9,
94  AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10,
95  AV_PIX_FMT_YUVA422P12, AV_PIX_FMT_YUVA444P12,
96  AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16,
97  AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
98  AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
99  AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
100  AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY9, AV_PIX_FMT_GRAY10, AV_PIX_FMT_GRAY12, AV_PIX_FMT_GRAY14, AV_PIX_FMT_GRAY16,
101  AV_PIX_FMT_NONE
102 };
103 
104 typedef struct ThreadData {
105  AVFrame *in, *out;
106 } ThreadData;
107 
108 static void filter16_prewitt(uint8_t *dstp, int width,
109  float scale, float delta, const int *const matrix,
110  const uint8_t *c[], int peak, int radius,
111  int dstride, int stride, int size)
112 {
113  uint16_t *dst = (uint16_t *)dstp;
114  int x;
115 
116  for (x = 0; x < width; x++) {
117  float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * -1 +
118  AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 1 + AV_RN16A(&c[8][2 * x]) * 1;
119  float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -1 +
120  AV_RN16A(&c[5][2 * x]) * 1 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1;
121 
122  dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak);
123  }
124 }
125 
126 static void filter16_roberts(uint8_t *dstp, int width,
127  float scale, float delta, const int *const matrix,
128  const uint8_t *c[], int peak, int radius,
129  int dstride, int stride, int size)
130 {
131  uint16_t *dst = (uint16_t *)dstp;
132  int x;
133 
134  for (x = 0; x < width; x++) {
135  float suma = AV_RN16A(&c[0][2 * x]) * 1 + AV_RN16A(&c[1][2 * x]) * -1;
136  float sumb = AV_RN16A(&c[4][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -1;
137 
138  dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak);
139  }
140 }
141 
142 static void filter16_scharr(uint8_t *dstp, int width,
143  float scale, float delta, const int *const matrix,
144  const uint8_t *c[], int peak, int radius,
145  int dstride, int stride, int size)
146 {
147  uint16_t *dst = (uint16_t *)dstp;
148  int x;
149 
150  for (x = 0; x < width; x++) {
151  float suma = AV_RN16A(&c[0][2 * x]) * -47 + AV_RN16A(&c[1][2 * x]) * -162 + AV_RN16A(&c[2][2 * x]) * -47 +
152  AV_RN16A(&c[6][2 * x]) * 47 + AV_RN16A(&c[7][2 * x]) * 162 + AV_RN16A(&c[8][2 * x]) * 47;
153  float sumb = AV_RN16A(&c[0][2 * x]) * -47 + AV_RN16A(&c[2][2 * x]) * 47 + AV_RN16A(&c[3][2 * x]) * -162 +
154  AV_RN16A(&c[5][2 * x]) * 162 + AV_RN16A(&c[6][2 * x]) * -47 + AV_RN16A(&c[8][2 * x]) * 47;
155 
156  suma /= 256.f;
157  sumb /= 256.f;
158  dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak);
159  }
160 }
161 
162 static void filter16_kirsch(uint8_t *dstp, int width,
163  float scale, float delta, const int *const matrix,
164  const uint8_t *c[], int peak, int radius,
165  int dstride, int stride, int size)
166 {
167  uint16_t *dst = (uint16_t *)dstp;
168  const uint16_t *c0 = (const uint16_t *)c[0], *c1 = (const uint16_t *)c[1], *c2 = (const uint16_t *)c[2];
169  const uint16_t *c3 = (const uint16_t *)c[3], *c5 = (const uint16_t *)c[5];
170  const uint16_t *c6 = (const uint16_t *)c[6], *c7 = (const uint16_t *)c[7], *c8 = (const uint16_t *)c[8];
171  int x;
172 
173  for (x = 0; x < width; x++) {
174  int sum0 = c0[x] * 5 + c1[x] * 5 + c2[x] * 5 +
175  c3[x] * -3 + c5[x] * -3 +
176  c6[x] * -3 + c7[x] * -3 + c8[x] * -3;
177  int sum1 = c0[x] * -3 + c1[x] * 5 + c2[x] * 5 +
178  c3[x] * 5 + c5[x] * -3 +
179  c6[x] * -3 + c7[x] * -3 + c8[x] * -3;
180  int sum2 = c0[x] * -3 + c1[x] * -3 + c2[x] * 5 +
181  c3[x] * 5 + c5[x] * 5 +
182  c6[x] * -3 + c7[x] * -3 + c8[x] * -3;
183  int sum3 = c0[x] * -3 + c1[x] * -3 + c2[x] * -3 +
184  c3[x] * 5 + c5[x] * 5 +
185  c6[x] * 5 + c7[x] * -3 + c8[x] * -3;
186  int sum4 = c0[x] * -3 + c1[x] * -3 + c2[x] * -3 +
187  c3[x] * -3 + c5[x] * 5 +
188  c6[x] * 5 + c7[x] * 5 + c8[x] * -3;
189  int sum5 = c0[x] * -3 + c1[x] * -3 + c2[x] * -3 +
190  c3[x] * -3 + c5[x] * -3 +
191  c6[x] * 5 + c7[x] * 5 + c8[x] * 5;
192  int sum6 = c0[x] * 5 + c1[x] * -3 + c2[x] * -3 +
193  c3[x] * -3 + c5[x] * -3 +
194  c6[x] * -3 + c7[x] * 5 + c8[x] * 5;
195  int sum7 = c0[x] * 5 + c1[x] * 5 + c2[x] * -3 +
196  c3[x] * -3 + c5[x] * -3 +
197  c6[x] * -3 + c7[x] * -3 + c8[x] * 5;
198 
199  sum0 = FFMAX(sum0, sum1);
200  sum2 = FFMAX(sum2, sum3);
201  sum4 = FFMAX(sum4, sum5);
202  sum6 = FFMAX(sum6, sum7);
203  sum0 = FFMAX(sum0, sum2);
204  sum4 = FFMAX(sum4, sum6);
205  sum0 = FFMAX(sum0, sum4);
206 
207  dst[x] = av_clip(FFABS(sum0) * scale + delta, 0, peak);
208  }
209 }
210 
211 static void filter_prewitt(uint8_t *dst, int width,
212  float scale, float delta, const int *const matrix,
213  const uint8_t *c[], int peak, int radius,
214  int dstride, int stride, int size)
215 {
216  const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
217  const uint8_t *c3 = c[3], *c5 = c[5];
218  const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
219  int x;
220 
221  for (x = 0; x < width; x++) {
222  float suma = c0[x] * -1 + c1[x] * -1 + c2[x] * -1 +
223  c6[x] * 1 + c7[x] * 1 + c8[x] * 1;
224  float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -1 +
225  c5[x] * 1 + c6[x] * -1 + c8[x] * 1;
226 
227  dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta);
228  }
229 }
230 
231 static void filter_roberts(uint8_t *dst, int width,
232  float scale, float delta, const int *const matrix,
233  const uint8_t *c[], int peak, int radius,
234  int dstride, int stride, int size)
235 {
236  int x;
237 
238  for (x = 0; x < width; x++) {
239  float suma = c[0][x] * 1 + c[1][x] * -1;
240  float sumb = c[4][x] * 1 + c[3][x] * -1;
241 
242  dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta);
243  }
244 }
245 
246 static void filter_scharr(uint8_t *dst, int width,
247  float scale, float delta, const int *const matrix,
248  const uint8_t *c[], int peak, int radius,
249  int dstride, int stride, int size)
250 {
251  const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
252  const uint8_t *c3 = c[3], *c5 = c[5];
253  const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
254  int x;
255 
256  for (x = 0; x < width; x++) {
257  float suma = c0[x] * -47 + c1[x] * -162 + c2[x] * -47 +
258  c6[x] * 47 + c7[x] * 162 + c8[x] * 47;
259  float sumb = c0[x] * -47 + c2[x] * 47 + c3[x] * -162 +
260  c5[x] * 162 + c6[x] * -47 + c8[x] * 47;
261 
262  suma /= 256.f;
263  sumb /= 256.f;
264  dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta);
265  }
266 }
267 
268 static void filter_kirsch(uint8_t *dst, int width,
269  float scale, float delta, const int *const matrix,
270  const uint8_t *c[], int peak, int radius,
271  int dstride, int stride, int size)
272 {
273  const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
274  const uint8_t *c3 = c[3], *c5 = c[5];
275  const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
276  int x;
277 
278  for (x = 0; x < width; x++) {
279  int sum0 = c0[x] * 5 + c1[x] * 5 + c2[x] * 5 +
280  c3[x] * -3 + c5[x] * -3 +
281  c6[x] * -3 + c7[x] * -3 + c8[x] * -3;
282  int sum1 = c0[x] * -3 + c1[x] * 5 + c2[x] * 5 +
283  c3[x] * 5 + c5[x] * -3 +
284  c6[x] * -3 + c7[x] * -3 + c8[x] * -3;
285  int sum2 = c0[x] * -3 + c1[x] * -3 + c2[x] * 5 +
286  c3[x] * 5 + c5[x] * 5 +
287  c6[x] * -3 + c7[x] * -3 + c8[x] * -3;
288  int sum3 = c0[x] * -3 + c1[x] * -3 + c2[x] * -3 +
289  c3[x] * 5 + c5[x] * 5 +
290  c6[x] * 5 + c7[x] * -3 + c8[x] * -3;
291  int sum4 = c0[x] * -3 + c1[x] * -3 + c2[x] * -3 +
292  c3[x] * -3 + c5[x] * 5 +
293  c6[x] * 5 + c7[x] * 5 + c8[x] * -3;
294  int sum5 = c0[x] * -3 + c1[x] * -3 + c2[x] * -3 +
295  c3[x] * -3 + c5[x] * -3 +
296  c6[x] * 5 + c7[x] * 5 + c8[x] * 5;
297  int sum6 = c0[x] * 5 + c1[x] * -3 + c2[x] * -3 +
298  c3[x] * -3 + c5[x] * -3 +
299  c6[x] * -3 + c7[x] * 5 + c8[x] * 5;
300  int sum7 = c0[x] * 5 + c1[x] * 5 + c2[x] * -3 +
301  c3[x] * -3 + c5[x] * -3 +
302  c6[x] * -3 + c7[x] * -3 + c8[x] * 5;
303 
304  sum0 = FFMAX(sum0, sum1);
305  sum2 = FFMAX(sum2, sum3);
306  sum4 = FFMAX(sum4, sum5);
307  sum6 = FFMAX(sum6, sum7);
308  sum0 = FFMAX(sum0, sum2);
309  sum4 = FFMAX(sum4, sum6);
310  sum0 = FFMAX(sum0, sum4);
311 
312  dst[x] = av_clip_uint8(FFABS(sum0) * scale + delta);
313  }
314 }
315 
316 static void filter16_3x3(uint8_t *dstp, int width,
317  float rdiv, float bias, const int *const matrix,
318  const uint8_t *c[], int peak, int radius,
319  int dstride, int stride, int size)
320 {
321  uint16_t *dst = (uint16_t *)dstp;
322  int x;
323 
324  for (x = 0; x < width; x++) {
325  int sum = AV_RN16A(&c[0][2 * x]) * matrix[0] +
326  AV_RN16A(&c[1][2 * x]) * matrix[1] +
327  AV_RN16A(&c[2][2 * x]) * matrix[2] +
328  AV_RN16A(&c[3][2 * x]) * matrix[3] +
329  AV_RN16A(&c[4][2 * x]) * matrix[4] +
330  AV_RN16A(&c[5][2 * x]) * matrix[5] +
331  AV_RN16A(&c[6][2 * x]) * matrix[6] +
332  AV_RN16A(&c[7][2 * x]) * matrix[7] +
333  AV_RN16A(&c[8][2 * x]) * matrix[8];
334  sum = (int)(sum * rdiv + bias + 0.5f);
335  dst[x] = av_clip(sum, 0, peak);
336  }
337 }
338 
339 static void filter16_5x5(uint8_t *dstp, int width,
340  float rdiv, float bias, const int *const matrix,
341  const uint8_t *c[], int peak, int radius,
342  int dstride, int stride, int size)
343 {
344  uint16_t *dst = (uint16_t *)dstp;
345  int x;
346 
347  for (x = 0; x < width; x++) {
348  int i, sum = 0;
349 
350  for (i = 0; i < 25; i++)
351  sum += AV_RN16A(&c[i][2 * x]) * matrix[i];
352 
353  sum = (int)(sum * rdiv + bias + 0.5f);
354  dst[x] = av_clip(sum, 0, peak);
355  }
356 }
357 
358 static void filter16_7x7(uint8_t *dstp, int width,
359  float rdiv, float bias, const int *const matrix,
360  const uint8_t *c[], int peak, int radius,
361  int dstride, int stride, int size)
362 {
363  uint16_t *dst = (uint16_t *)dstp;
364  int x;
365 
366  for (x = 0; x < width; x++) {
367  int i, sum = 0;
368 
369  for (i = 0; i < 49; i++)
370  sum += AV_RN16A(&c[i][2 * x]) * matrix[i];
371 
372  sum = (int)(sum * rdiv + bias + 0.5f);
373  dst[x] = av_clip(sum, 0, peak);
374  }
375 }
376 
377 static void filter16_row(uint8_t *dstp, int width,
378  float rdiv, float bias, const int *const matrix,
379  const uint8_t *c[], int peak, int radius,
380  int dstride, int stride, int size)
381 {
382  uint16_t *dst = (uint16_t *)dstp;
383  int x;
384 
385  for (x = 0; x < width; x++) {
386  int i, sum = 0;
387 
388  for (i = 0; i < 2 * radius + 1; i++)
389  sum += AV_RN16A(&c[i][2 * x]) * matrix[i];
390 
391  sum = (int)(sum * rdiv + bias + 0.5f);
392  dst[x] = av_clip(sum, 0, peak);
393  }
394 }
395 
396 static void filter16_column(uint8_t *dstp, int height,
397  float rdiv, float bias, const int *const matrix,
398  const uint8_t *c[], int peak, int radius,
399  int dstride, int stride, int size)
400 {
401  DECLARE_ALIGNED(64, int, sum)[16];
402  uint16_t *dst = (uint16_t *)dstp;
403  const int width = FFMIN(16, size);
404 
405  for (int y = 0; y < height; y++) {
406 
407  memset(sum, 0, sizeof(sum));
408  for (int i = 0; i < 2 * radius + 1; i++) {
409  for (int off16 = 0; off16 < width; off16++)
410  sum[off16] += AV_RN16A(&c[i][0 + y * stride + off16 * 2]) * matrix[i];
411  }
412 
413  for (int off16 = 0; off16 < width; off16++) {
414  sum[off16] = (int)(sum[off16] * rdiv + bias + 0.5f);
415  dst[off16] = av_clip(sum[off16], 0, peak);
416  }
417  dst += dstride / 2;
418  }
419 }
420 
421 static void filter_7x7(uint8_t *dst, int width,
422  float rdiv, float bias, const int *const matrix,
423  const uint8_t *c[], int peak, int radius,
424  int dstride, int stride, int size)
425 {
426  int x;
427 
428  for (x = 0; x < width; x++) {
429  int i, sum = 0;
430 
431  for (i = 0; i < 49; i++)
432  sum += c[i][x] * matrix[i];
433 
434  sum = (int)(sum * rdiv + bias + 0.5f);
435  dst[x] = av_clip_uint8(sum);
436  }
437 }
438 
439 static void filter_5x5(uint8_t *dst, int width,
440  float rdiv, float bias, const int *const matrix,
441  const uint8_t *c[], int peak, int radius,
442  int dstride, int stride, int size)
443 {
444  int x;
445 
446  for (x = 0; x < width; x++) {
447  int i, sum = 0;
448 
449  for (i = 0; i < 25; i++)
450  sum += c[i][x] * matrix[i];
451 
452  sum = (int)(sum * rdiv + bias + 0.5f);
453  dst[x] = av_clip_uint8(sum);
454  }
455 }
456 
457 static void filter_3x3(uint8_t *dst, int width,
458  float rdiv, float bias, const int *const matrix,
459  const uint8_t *c[], int peak, int radius,
460  int dstride, int stride, int size)
461 {
462  const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2];
463  const uint8_t *c3 = c[3], *c4 = c[4], *c5 = c[5];
464  const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8];
465  int x;
466 
467  for (x = 0; x < width; x++) {
468  int sum = c0[x] * matrix[0] + c1[x] * matrix[1] + c2[x] * matrix[2] +
469  c3[x] * matrix[3] + c4[x] * matrix[4] + c5[x] * matrix[5] +
470  c6[x] * matrix[6] + c7[x] * matrix[7] + c8[x] * matrix[8];
471  sum = (int)(sum * rdiv + bias + 0.5f);
472  dst[x] = av_clip_uint8(sum);
473  }
474 }
475 
476 static void filter_row(uint8_t *dst, int width,
477  float rdiv, float bias, const int *const matrix,
478  const uint8_t *c[], int peak, int radius,
479  int dstride, int stride, int size)
480 {
481  int x;
482 
483  for (x = 0; x < width; x++) {
484  int i, sum = 0;
485 
486  for (i = 0; i < 2 * radius + 1; i++)
487  sum += c[i][x] * matrix[i];
488 
489  sum = (int)(sum * rdiv + bias + 0.5f);
490  dst[x] = av_clip_uint8(sum);
491  }
492 }
493 
494 static void filter_column(uint8_t *dst, int height,
495  float rdiv, float bias, const int *const matrix,
496  const uint8_t *c[], int peak, int radius,
497  int dstride, int stride, int size)
498 {
499  DECLARE_ALIGNED(64, int, sum)[16];
500 
501  for (int y = 0; y < height; y++) {
502  memset(sum, 0, sizeof(sum));
503 
504  for (int i = 0; i < 2 * radius + 1; i++) {
505  for (int off16 = 0; off16 < 16; off16++)
506  sum[off16] += c[i][0 + y * stride + off16] * matrix[i];
507  }
508 
509  for (int off16 = 0; off16 < 16; off16++) {
510  sum[off16] = (int)(sum[off16] * rdiv + bias + 0.5f);
511  dst[off16] = av_clip_uint8(sum[off16]);
512  }
513  dst += dstride;
514  }
515 }
516 
517 static void setup_5x5(int radius, const uint8_t *c[], const uint8_t *src, int stride,
518  int x, int w, int y, int h, int bpc)
519 {
520  int i;
521 
522  for (i = 0; i < 25; i++) {
523  int xoff = FFABS(x + ((i % 5) - 2));
524  int yoff = FFABS(y + (i / 5) - 2);
525 
526  xoff = xoff >= w ? 2 * w - 1 - xoff : xoff;
527  yoff = yoff >= h ? 2 * h - 1 - yoff : yoff;
528 
529  c[i] = src + xoff * bpc + yoff * stride;
530  }
531 }
532 
533 static void setup_7x7(int radius, const uint8_t *c[], const uint8_t *src, int stride,
534  int x, int w, int y, int h, int bpc)
535 {
536  int i;
537 
538  for (i = 0; i < 49; i++) {
539  int xoff = FFABS(x + ((i % 7) - 3));
540  int yoff = FFABS(y + (i / 7) - 3);
541 
542  xoff = xoff >= w ? 2 * w - 1 - xoff : xoff;
543  yoff = yoff >= h ? 2 * h - 1 - yoff : yoff;
544 
545  c[i] = src + xoff * bpc + yoff * stride;
546  }
547 }
548 
549 static void setup_row(int radius, const uint8_t *c[], const uint8_t *src, int stride,
550  int x, int w, int y, int h, int bpc)
551 {
552  int i;
553 
554  for (i = 0; i < radius * 2 + 1; i++) {
555  int xoff = FFABS(x + i - radius);
556 
557  xoff = xoff >= w ? 2 * w - 1 - xoff : xoff;
558 
559  c[i] = src + xoff * bpc + y * stride;
560  }
561 }
562 
563 static void setup_column(int radius, const uint8_t *c[], const uint8_t *src, int stride,
564  int x, int w, int y, int h, int bpc)
565 {
566  int i;
567 
568  for (i = 0; i < radius * 2 + 1; i++) {
569  int xoff = FFABS(x + i - radius);
570 
571  xoff = xoff >= h ? 2 * h - 1 - xoff : xoff;
572 
573  c[i] = src + y * bpc + xoff * stride;
574  }
575 }
576 
577 static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
578 {
579  ConvolutionContext *s = ctx->priv;
580  ThreadData *td = arg;
581  AVFrame *in = td->in;
582  AVFrame *out = td->out;
583  int plane;
584 
585  for (plane = 0; plane < s->nb_planes; plane++) {
586  const int mode = s->mode[plane];
587  const int bpc = s->bpc;
588  const int radius = s->size[plane] / 2;
589  const int height = s->planeheight[plane];
590  const int width = s->planewidth[plane];
591  const int stride = in->linesize[plane];
592  const int dstride = out->linesize[plane];
593  const int sizeh = mode == MATRIX_COLUMN ? width : height;
594  const int sizew = mode == MATRIX_COLUMN ? height : width;
595  const int slice_start = (sizeh * jobnr) / nb_jobs;
596  const int slice_end = (sizeh * (jobnr+1)) / nb_jobs;
597  const float rdiv = s->rdiv[plane];
598  const float bias = s->bias[plane];
599  const uint8_t *src = in->data[plane];
600  const int dst_pos = slice_start * (mode == MATRIX_COLUMN ? bpc : dstride);
601  uint8_t *dst = out->data[plane] + dst_pos;
602  const int *matrix = s->matrix[plane];
603  const int step = mode == MATRIX_COLUMN ? 16 : 1;
604  const uint8_t *c[49];
605  int y, x;
606 
607  if (s->copy[plane]) {
608  if (mode == MATRIX_COLUMN)
609  av_image_copy_plane(dst, dstride, src + slice_start * bpc, stride,
610  (slice_end - slice_start) * bpc, height);
611  else
612  av_image_copy_plane(dst, dstride, src + slice_start * stride, stride,
613  width * bpc, slice_end - slice_start);
614  continue;
615  }
616  for (y = slice_start; y < slice_end; y += step) {
617  const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : radius * bpc;
618  const int yoff = mode == MATRIX_COLUMN ? radius * dstride : 0;
619 
620  for (x = 0; x < radius; x++) {
621  const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc;
622  const int yoff = mode == MATRIX_COLUMN ? x * dstride : 0;
623 
624  s->setup[plane](radius, c, src, stride, x, width, y, height, bpc);
625  s->filter[plane](dst + yoff + xoff, 1, rdiv,
626  bias, matrix, c, s->max, radius,
627  dstride, stride, slice_end - step);
628  }
629  s->setup[plane](radius, c, src, stride, radius, width, y, height, bpc);
630  s->filter[plane](dst + yoff + xoff, sizew - 2 * radius,
631  rdiv, bias, matrix, c, s->max, radius,
632  dstride, stride, slice_end - step);
633  for (x = sizew - radius; x < sizew; x++) {
634  const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc;
635  const int yoff = mode == MATRIX_COLUMN ? x * dstride : 0;
636 
637  s->setup[plane](radius, c, src, stride, x, width, y, height, bpc);
638  s->filter[plane](dst + yoff + xoff, 1, rdiv,
639  bias, matrix, c, s->max, radius,
640  dstride, stride, slice_end - step);
641  }
642  if (mode != MATRIX_COLUMN)
643  dst += dstride;
644  }
645  }
646 
647  return 0;
648 }
649 
650 static int param_init(AVFilterContext *ctx)
651 {
652  ConvolutionContext *s = ctx->priv;
653  AVFilterLink *inlink = ctx->inputs[0];
654  const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
655  int p, i;
656 
657  s->depth = desc->comp[0].depth;
658  s->max = (1 << s->depth) - 1;
659 
660  s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
661  s->planewidth[0] = s->planewidth[3] = inlink->w;
662  s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
663  s->planeheight[0] = s->planeheight[3] = inlink->h;
664 
665  s->nb_planes = av_pix_fmt_count_planes(inlink->format);
666  s->nb_threads = ff_filter_get_nb_threads(ctx);
667  s->bpc = (s->depth + 7) / 8;
668 
669  if (!strcmp(ctx->filter->name, "convolution")) {
670  for (i = 0; i < 4; i++) {
671  int *matrix = (int *)s->matrix[i];
672  char *orig, *p, *arg, *saveptr = NULL;
673  float sum = 1.f;
674 
675  p = orig = av_strdup(s->matrix_str[i]);
676  if (p) {
677  s->matrix_length[i] = 0;
678  s->rdiv[i] = 0.f;
679  sum = 0.f;
680 
681  while (s->matrix_length[i] < 49) {
682  if (!(arg = av_strtok(p, " |", &saveptr)))
683  break;
684 
685  p = NULL;
686  sscanf(arg, "%d", &matrix[s->matrix_length[i]]);
687  sum += matrix[s->matrix_length[i]];
688  s->matrix_length[i]++;
689  }
690 
691  av_freep(&orig);
692  if (!(s->matrix_length[i] & 1)) {
693  av_log(ctx, AV_LOG_ERROR, "number of matrix elements must be odd\n");
694  return AVERROR(EINVAL);
695  }
696  }
697 
698  if (s->mode[i] == MATRIX_ROW) {
699  s->filter[i] = filter_row;
700  s->setup[i] = setup_row;
701  s->size[i] = s->matrix_length[i];
702  } else if (s->mode[i] == MATRIX_COLUMN) {
703  s->filter[i] = filter_column;
704  s->setup[i] = setup_column;
705  s->size[i] = s->matrix_length[i];
706  } else if (s->matrix_length[i] == 9) {
707  s->size[i] = 3;
708 
709  if (!memcmp(matrix, same3x3, sizeof(same3x3))) {
710  s->copy[i] = 1;
711  } else {
712  s->filter[i] = filter_3x3;
713  s->copy[i] = 0;
714  }
715  s->setup[i] = setup_3x3;
716  } else if (s->matrix_length[i] == 25) {
717  s->size[i] = 5;
718  if (!memcmp(matrix, same5x5, sizeof(same5x5))) {
719  s->copy[i] = 1;
720  } else {
721  s->filter[i] = filter_5x5;
722  s->copy[i] = 0;
723  }
724  s->setup[i] = setup_5x5;
725  } else if (s->matrix_length[i] == 49) {
726  s->size[i] = 7;
727  if (!memcmp(matrix, same7x7, sizeof(same7x7))) {
728  s->copy[i] = 1;
729  } else {
730  s->filter[i] = filter_7x7;
731  s->copy[i] = 0;
732  }
733  s->setup[i] = setup_7x7;
734  } else {
735  return AVERROR(EINVAL);
736  }
737 
738  if (sum == 0)
739  sum = 1;
740  if (s->rdiv[i] == 0)
741  s->rdiv[i] = 1. / sum;
742 
743  if (s->copy[i] && (s->rdiv[i] != 1. || s->bias[i] != 0.))
744  s->copy[i] = 0;
745  }
746  } else if (!strcmp(ctx->filter->name, "prewitt")) {
747  for (i = 0; i < 4; i++) {
748  s->filter[i] = filter_prewitt;
749  s->copy[i] = !((1 << i) & s->planes);
750  s->size[i] = 3;
751  s->setup[i] = setup_3x3;
752  s->rdiv[i] = s->scale;
753  s->bias[i] = s->delta;
754  }
755  } else if (!strcmp(ctx->filter->name, "roberts")) {
756  for (i = 0; i < 4; i++) {
757  s->filter[i] = filter_roberts;
758  s->copy[i] = !((1 << i) & s->planes);
759  s->size[i] = 3;
760  s->setup[i] = setup_3x3;
761  s->rdiv[i] = s->scale;
762  s->bias[i] = s->delta;
763  }
764  } else if (!strcmp(ctx->filter->name, "sobel")) {
765  ff_sobel_init(s, s->depth, s->nb_planes);
766  } else if (!strcmp(ctx->filter->name, "kirsch")) {
767  for (i = 0; i < 4; i++) {
768  s->filter[i] = filter_kirsch;
769  s->copy[i] = !((1 << i) & s->planes);
770  s->size[i] = 3;
771  s->setup[i] = setup_3x3;
772  s->rdiv[i] = s->scale;
773  s->bias[i] = s->delta;
774  }
775  } else if (!strcmp(ctx->filter->name, "scharr")) {
776  for (i = 0; i < 4; i++) {
777  s->filter[i] = filter_scharr;
778  s->copy[i] = !((1 << i) & s->planes);
779  s->size[i] = 3;
780  s->setup[i] = setup_3x3;
781  s->rdiv[i] = s->scale;
782  s->bias[i] = s->delta;
783  }
784  }
785 
786  if (!strcmp(ctx->filter->name, "convolution")) {
787  if (s->depth > 8) {
788  for (p = 0; p < s->nb_planes; p++) {
789  if (s->mode[p] == MATRIX_ROW)
790  s->filter[p] = filter16_row;
791  else if (s->mode[p] == MATRIX_COLUMN)
792  s->filter[p] = filter16_column;
793  else if (s->size[p] == 3)
794  s->filter[p] = filter16_3x3;
795  else if (s->size[p] == 5)
796  s->filter[p] = filter16_5x5;
797  else if (s->size[p] == 7)
798  s->filter[p] = filter16_7x7;
799  }
800  }
801 #if CONFIG_CONVOLUTION_FILTER && ARCH_X86_64
802  ff_convolution_init_x86(s);
803 #endif
804  } else if (!strcmp(ctx->filter->name, "prewitt")) {
805  if (s->depth > 8)
806  for (p = 0; p < s->nb_planes; p++)
807  s->filter[p] = filter16_prewitt;
808  } else if (!strcmp(ctx->filter->name, "roberts")) {
809  if (s->depth > 8)
810  for (p = 0; p < s->nb_planes; p++)
811  s->filter[p] = filter16_roberts;
812  } else if (!strcmp(ctx->filter->name, "kirsch")) {
813  if (s->depth > 8)
814  for (p = 0; p < s->nb_planes; p++)
815  s->filter[p] = filter16_kirsch;
816  } else if (!strcmp(ctx->filter->name, "scharr")) {
817  if (s->depth > 8)
818  for (p = 0; p < s->nb_planes; p++)
819  s->filter[p] = filter16_scharr;
820  }
821 
822  return 0;
823 }
824 
825 static int config_input(AVFilterLink *inlink)
826 {
827  AVFilterContext *ctx = inlink->dst;
828  return param_init(ctx);
829 }
830 
831 static int filter_frame(AVFilterLink *inlink, AVFrame *in)
832 {
833  AVFilterContext *ctx = inlink->dst;
834  ConvolutionContext *s = ctx->priv;
835  AVFilterLink *outlink = ctx->outputs[0];
836  AVFrame *out;
837  ThreadData td;
838 
839  out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
840  if (!out) {
841  av_frame_free(&in);
842  return AVERROR(ENOMEM);
843  }
844  av_frame_copy_props(out, in);
845 
846  td.in = in;
847  td.out = out;
848  ff_filter_execute(ctx, filter_slice, &td, NULL,
849  FFMIN3(s->planeheight[1], s->planewidth[1], s->nb_threads));
850 
851  av_frame_free(&in);
852  return ff_filter_frame(outlink, out);
853 }
854 
855 static int process_command(AVFilterContext *ctx, const char *cmd, const char *args,
856  char *res, int res_len, int flags)
857 {
858  int ret;
859 
860  ret = ff_filter_process_command(ctx, cmd, args, res, res_len, flags);
861  if (ret < 0)
862  return ret;
863 
864  return param_init(ctx);
865 }
866 
867 static const AVFilterPad convolution_inputs[] = {
868  {
869  .name = "default",
870  .type = AVMEDIA_TYPE_VIDEO,
871  .config_props = config_input,
872  .filter_frame = filter_frame,
873  },
874 };
875 
876 static const AVFilterPad convolution_outputs[] = {
877  {
878  .name = "default",
879  .type = AVMEDIA_TYPE_VIDEO,
880  },
881 };
882 
883 #if CONFIG_CONVOLUTION_FILTER
884 
885 const AVFilter ff_vf_convolution = {
886  .name = "convolution",
887  .description = NULL_IF_CONFIG_SMALL("Apply convolution filter."),
888  .priv_size = sizeof(ConvolutionContext),
889  .priv_class = &convolution_class,
890  FILTER_INPUTS(convolution_inputs),
891  FILTER_OUTPUTS(convolution_outputs),
892  FILTER_PIXFMTS_ARRAY(pix_fmts),
893  .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
894  .process_command = process_command,
895 };
896 
897 #endif /* CONFIG_CONVOLUTION_FILTER */
898 
899 static const AVOption common_options[] = {
900  { "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
901  { "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
902  { "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
903  { NULL }
904 };
905 
906 AVFILTER_DEFINE_CLASS_EXT(common, "kirsch/prewitt/roberts/scharr/sobel",
907  common_options);
908 
909 #if CONFIG_PREWITT_FILTER
910 
911 const AVFilter ff_vf_prewitt = {
912  .name = "prewitt",
913  .description = NULL_IF_CONFIG_SMALL("Apply prewitt operator."),
914  .priv_size = sizeof(ConvolutionContext),
915  .priv_class = &common_class,
916  FILTER_INPUTS(convolution_inputs),
917  FILTER_OUTPUTS(convolution_outputs),
918  FILTER_PIXFMTS_ARRAY(pix_fmts),
919  .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
920  .process_command = process_command,
921 };
922 
923 #endif /* CONFIG_PREWITT_FILTER */
924 
925 #if CONFIG_SOBEL_FILTER
926 
927 const AVFilter ff_vf_sobel = {
928  .name = "sobel",
929  .description = NULL_IF_CONFIG_SMALL("Apply sobel operator."),
930  .priv_size = sizeof(ConvolutionContext),
931  .priv_class = &common_class,
932  FILTER_INPUTS(convolution_inputs),
933  FILTER_OUTPUTS(convolution_outputs),
934  FILTER_PIXFMTS_ARRAY(pix_fmts),
935  .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
936  .process_command = process_command,
937 };
938 
939 #endif /* CONFIG_SOBEL_FILTER */
940 
941 #if CONFIG_ROBERTS_FILTER
942 
943 const AVFilter ff_vf_roberts = {
944  .name = "roberts",
945  .description = NULL_IF_CONFIG_SMALL("Apply roberts cross operator."),
946  .priv_size = sizeof(ConvolutionContext),
947  .priv_class = &common_class,
948  FILTER_INPUTS(convolution_inputs),
949  FILTER_OUTPUTS(convolution_outputs),
950  FILTER_PIXFMTS_ARRAY(pix_fmts),
951  .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
952  .process_command = process_command,
953 };
954 
955 #endif /* CONFIG_ROBERTS_FILTER */
956 
957 #if CONFIG_KIRSCH_FILTER
958 
959 const AVFilter ff_vf_kirsch = {
960  .name = "kirsch",
961  .description = NULL_IF_CONFIG_SMALL("Apply kirsch operator."),
962  .priv_size = sizeof(ConvolutionContext),
963  .priv_class = &common_class,
964  FILTER_INPUTS(convolution_inputs),
965  FILTER_OUTPUTS(convolution_outputs),
966  FILTER_PIXFMTS_ARRAY(pix_fmts),
967  .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
968  .process_command = process_command,
969 };
970 
971 #endif /* CONFIG_KIRSCH_FILTER */
972 
973 #if CONFIG_SCHARR_FILTER
974 
975 const AVFilter ff_vf_scharr = {
976  .name = "scharr",
977  .description = NULL_IF_CONFIG_SMALL("Apply scharr operator."),
978  .priv_size = sizeof(ConvolutionContext),
979  .priv_class = &common_class,
980  FILTER_INPUTS(convolution_inputs),
981  FILTER_OUTPUTS(convolution_outputs),
982  FILTER_PIXFMTS_ARRAY(pix_fmts),
983  .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
984  .process_command = process_command,
985 };
986 
987 #endif /* CONFIG_SCHARR_FILTER */
ff_get_video_buffer
AVFrame * ff_get_video_buffer(AVFilterLink *link, int w, int h)
Request a picture buffer with a specific set of permissions.
Definition: video.c:101
AV_PIX_FMT_YUVA422P16
#define AV_PIX_FMT_YUVA422P16
Definition: pixfmt.h:502
AV_PIX_FMT_GBRAP16
#define AV_PIX_FMT_GBRAP16
Definition: pixfmt.h:481
setup_3x3
static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride, int x, int w, int y, int h, int bpc)
Definition: convolution.h:67
td
#define td
Definition: regdef.h:70
AVPixelFormat
AVPixelFormat
Pixel format.
Definition: pixfmt.h:64
planes
static const struct @346 planes[]
av_clip
#define av_clip
Definition: common.h:95
OFFSET
#define OFFSET(x)
Definition: vf_convolution.c:36
AVERROR
Filter the word “frame” indicates either a video frame or a group of audio as stored in an AVFrame structure Format for each input and each output the list of supported formats For video that means pixel format For audio that means channel sample they are references to shared objects When the negotiation mechanism computes the intersection of the formats supported at each end of a all references to both lists are replaced with a reference to the intersection And when a single format is eventually chosen for a link amongst the remaining all references to the list are updated That means that if a filter requires that its input and output have the same format amongst a supported all it has to do is use a reference to the same list of formats query_formats can leave some formats unset and return AVERROR(EAGAIN) to cause the negotiation mechanism toagain later. That can be used by filters with complex requirements to use the format negotiated on one link to set the formats supported on another. Frame references ownership and permissions
opt.h
mem_internal.h
out
FILE * out
Definition: movenc.c:54
filter_prewitt
static void filter_prewitt(uint8_t *dst, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:211
ff_filter_frame
int ff_filter_frame(AVFilterLink *link, AVFrame *frame)
Send a frame of data to the next filter.
Definition: avfilter.c:969
convolution_outputs
static const AVFilterPad convolution_outputs[]
Definition: vf_convolution.c:876
av_pix_fmt_desc_get
const AVPixFmtDescriptor * av_pix_fmt_desc_get(enum AVPixelFormat pix_fmt)
Definition: pixdesc.c:2888
ff_vf_scharr
const AVFilter ff_vf_scharr
matrix
Definition: vc1dsp.c:42
FILTER_PIXFMTS_ARRAY
#define FILTER_PIXFMTS_ARRAY(array)
Definition: internal.h:174
ff_vf_roberts
const AVFilter ff_vf_roberts
inlink
The exact code depends on how similar the blocks are and how related they are to the and needs to apply these operations to the correct inlink or outlink if there are several Macros are available to factor that when no extra processing is inlink
Definition: filter_design.txt:212
av_frame_free
void av_frame_free(AVFrame **frame)
Free the frame and any dynamically allocated objects in it, e.g.
Definition: frame.c:99
AV_PIX_FMT_YUVA422P9
#define AV_PIX_FMT_YUVA422P9
Definition: pixfmt.h:494
AVFrame
This structure describes decoded (raw) audio or video data.
Definition: frame.h:330
pixdesc.h
step
trying all byte sequences megabyte in length and selecting the best looking sequence will yield cases to try But a word about which is also called distortion Distortion can be quantified by almost any quality measurement one chooses the sum of squared differences is used but more complex methods that consider psychovisual effects can be used as well It makes no difference in this discussion First step
Definition: rate_distortion.txt:58
AV_PIX_FMT_YUVA420P16
#define AV_PIX_FMT_YUVA420P16
Definition: pixfmt.h:501
w
uint8_t w
Definition: llviddspenc.c:38
AV_PIX_FMT_YUVA420P10
#define AV_PIX_FMT_YUVA420P10
Definition: pixfmt.h:496
ff_vf_kirsch
const AVFilter ff_vf_kirsch
AVOption
AVOption.
Definition: opt.h:251
AV_PIX_FMT_YUV420P10
#define AV_PIX_FMT_YUV420P10
Definition: pixfmt.h:459
ff_vf_prewitt
const AVFilter ff_vf_prewitt
AV_PIX_FMT_YUV440P
@ AV_PIX_FMT_YUV440P
planar YUV 4:4:0 (1 Cr & Cb sample per 1x2 Y samples)
Definition: pixfmt.h:99
filter_frame
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
Definition: vf_convolution.c:831
FFMAX
#define FFMAX(a, b)
Definition: macros.h:47
AVFilter::name
const char * name
Filter name.
Definition: avfilter.h:165
filter16_7x7
static void filter16_7x7(uint8_t *dstp, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:358
c1
static const uint64_t c1
Definition: murmur3.c:51
filter16_scharr
static void filter16_scharr(uint8_t *dstp, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:142
ThreadData::out
AVFrame * out
Definition: af_adeclick.c:473
ff_sobel_init
static av_unused void ff_sobel_init(ConvolutionContext *s, int depth, int nb_planes)
Definition: convolution.h:121
convolution.h
video.h
ThreadData::in
AVFrame * in
Definition: af_adecorrelate.c:154
AV_PIX_FMT_YUVA422P10
#define AV_PIX_FMT_YUVA422P10
Definition: pixfmt.h:497
AV_PIX_FMT_GRAY9
#define AV_PIX_FMT_GRAY9
Definition: pixfmt.h:439
AVFrame::data
uint8_t * data[AV_NUM_DATA_POINTERS]
pointer to the picture/channel planes.
Definition: frame.h:351
av_image_copy_plane
void av_image_copy_plane(uint8_t *dst, int dst_linesize, const uint8_t *src, int src_linesize, int bytewidth, int height)
Copy image plane from src to dst.
Definition: imgutils.c:374
filter_slice
static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
Definition: vf_convolution.c:577
setup_row
static void setup_row(int radius, const uint8_t *c[], const uint8_t *src, int stride, int x, int w, int y, int h, int bpc)
Definition: vf_convolution.c:549
formats.h
same3x3
static const int same3x3[9]
Definition: vf_convolution.c:64
av_pix_fmt_count_planes
int av_pix_fmt_count_planes(enum AVPixelFormat pix_fmt)
Definition: pixdesc.c:2928
AV_PIX_FMT_YUVA420P9
#define AV_PIX_FMT_YUVA420P9
Definition: pixfmt.h:493
AV_PIX_FMT_GBRP14
#define AV_PIX_FMT_GBRP14
Definition: pixfmt.h:477
AV_PIX_FMT_GBRAP
@ AV_PIX_FMT_GBRAP
planar GBRA 4:4:4:4 32bpp
Definition: pixfmt.h:205
AV_PIX_FMT_GBRP10
#define AV_PIX_FMT_GBRP10
Definition: pixfmt.h:475
AV_PIX_FMT_YUVA444P16
#define AV_PIX_FMT_YUVA444P16
Definition: pixfmt.h:503
AV_PIX_FMT_YUV422P9
#define AV_PIX_FMT_YUV422P9
Definition: pixfmt.h:457
scale
static av_always_inline float scale(float x, float s)
Definition: vf_v360.c:1389
AV_PIX_FMT_GRAY16
#define AV_PIX_FMT_GRAY16
Definition: pixfmt.h:443
AVFilterPad
A filter pad used for either input or output.
Definition: internal.h:49
AVFILTER_DEFINE_CLASS
AVFILTER_DEFINE_CLASS(convolution)
convolution_inputs
static const AVFilterPad convolution_inputs[]
Definition: vf_convolution.c:867
AV_PIX_FMT_YUV444P10
#define AV_PIX_FMT_YUV444P10
Definition: pixfmt.h:462
AV_PIX_FMT_YUVJ411P
@ AV_PIX_FMT_YUVJ411P
planar YUV 4:1:1, 12bpp, (1 Cr & Cb sample per 4x1 Y samples) full scale (JPEG), deprecated in favor ...
Definition: pixfmt.h:276
AV_LOG_ERROR
#define AV_LOG_ERROR
Something went wrong and cannot losslessly be recovered.
Definition: log.h:180
AV_PIX_FMT_YUV422P16
#define AV_PIX_FMT_YUV422P16
Definition: pixfmt.h:471
MATRIX_NBMODES
@ MATRIX_NBMODES
Definition: convolution.h:30
AV_PIX_FMT_YUVJ422P
@ AV_PIX_FMT_YUVJ422P
planar YUV 4:2:2, 16bpp, full scale (JPEG), deprecated in favor of AV_PIX_FMT_YUV422P and setting col...
Definition: pixfmt.h:79
AV_PIX_FMT_GBRAP10
#define AV_PIX_FMT_GBRAP10
Definition: pixfmt.h:479
width
#define width
intreadwrite.h
s
#define s(width, name)
Definition: cbs_vp9.c:256
MATRIX_SQUARE
@ MATRIX_SQUARE
Definition: convolution.h:27
AV_PIX_FMT_GBRAP12
#define AV_PIX_FMT_GBRAP12
Definition: pixfmt.h:480
AV_PIX_FMT_YUVA420P
@ AV_PIX_FMT_YUVA420P
planar YUV 4:2:0, 20bpp, (1 Cr & Cb sample per 2x2 Y & A samples)
Definition: pixfmt.h:101
AV_PIX_FMT_YUV444P16
#define AV_PIX_FMT_YUV444P16
Definition: pixfmt.h:472
AV_CEIL_RSHIFT
#define AV_CEIL_RSHIFT(a, b)
Definition: common.h:50
slice_end
static int slice_end(AVCodecContext *avctx, AVFrame *pict)
Handle slice ends.
Definition: mpeg12dec.c:2006
av_strtok
char * av_strtok(char *s, const char *delim, char **saveptr)
Split the string into several tokens which can be accessed by successive calls to av_strtok().
Definition: avstring.c:179
AV_PIX_FMT_YUVA444P12
#define AV_PIX_FMT_YUVA444P12
Definition: pixfmt.h:500
AV_PIX_FMT_YUV420P9
#define AV_PIX_FMT_YUV420P9
Definition: pixfmt.h:456
AV_PIX_FMT_YUV420P16
#define AV_PIX_FMT_YUV420P16
Definition: pixfmt.h:470
ctx
AVFormatContext * ctx
Definition: movenc.c:48
process_command
static int process_command(AVFilterContext *ctx, const char *cmd, const char *args, char *res, int res_len, int flags)
Definition: vf_convolution.c:855
AV_PIX_FMT_GRAY14
#define AV_PIX_FMT_GRAY14
Definition: pixfmt.h:442
AV_PIX_FMT_YUV420P
@ AV_PIX_FMT_YUV420P
planar YUV 4:2:0, 12bpp, (1 Cr & Cb sample per 2x2 Y samples)
Definition: pixfmt.h:66
FILTER_INPUTS
#define FILTER_INPUTS(array)
Definition: internal.h:194
AV_PIX_FMT_YUVJ444P
@ AV_PIX_FMT_YUVJ444P
planar YUV 4:4:4, 24bpp, full scale (JPEG), deprecated in favor of AV_PIX_FMT_YUV444P and setting col...
Definition: pixfmt.h:80
arg
const char * arg
Definition: jacosubdec.c:67
FFABS
#define FFABS(a)
Absolute value, Note, INT_MIN / INT64_MIN result in undefined behavior as they are not representable ...
Definition: common.h:64
AV_PIX_FMT_GRAY10
#define AV_PIX_FMT_GRAY10
Definition: pixfmt.h:440
AV_PIX_FMT_GBRP16
#define AV_PIX_FMT_GBRP16
Definition: pixfmt.h:478
NULL
#define NULL
Definition: coverity.c:32
av_frame_copy_props
int av_frame_copy_props(AVFrame *dst, const AVFrame *src)
Copy only "metadata" fields from src to dst.
Definition: frame.c:594
bias
static int bias(int x, int c)
Definition: vqcdec.c:113
MATRIX_ROW
@ MATRIX_ROW
Definition: convolution.h:28
AV_PIX_FMT_YUVJ420P
@ AV_PIX_FMT_YUVJ420P
planar YUV 4:2:0, 12bpp, full scale (JPEG), deprecated in favor of AV_PIX_FMT_YUV420P and setting col...
Definition: pixfmt.h:78
sqrtf
static __device__ float sqrtf(float a)
Definition: cuda_runtime.h:184
pix_fmts
static enum AVPixelFormat pix_fmts[]
Definition: vf_convolution.c:82
ConvolutionContext
Definition: convolution.h:33
AV_PIX_FMT_YUV422P10
#define AV_PIX_FMT_YUV422P10
Definition: pixfmt.h:460
common_options
static const AVOption common_options[]
Definition: vf_convolution.c:899
AV_PIX_FMT_GRAY8
@ AV_PIX_FMT_GRAY8
Y , 8bpp.
Definition: pixfmt.h:74
AV_PIX_FMT_GBRP9
#define AV_PIX_FMT_GBRP9
Definition: pixfmt.h:474
c
Undefined Behavior In the C some operations are like signed integer dereferencing freed accessing outside allocated Undefined Behavior must not occur in a C it is not safe even if the output of undefined operations is unused The unsafety may seem nit picking but Optimizing compilers have in fact optimized code on the assumption that no undefined Behavior occurs Optimizing code based on wrong assumptions can and has in some cases lead to effects beyond the output of computations The signed integer overflow problem in speed critical code Code which is highly optimized and works with signed integers sometimes has the problem that often the output of the computation does not c
Definition: undefined.txt:32
filter16_3x3
static void filter16_3x3(uint8_t *dstp, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:316
ff_vf_convolution
const AVFilter ff_vf_convolution
f
f
Definition: af_crystalizer.c:122
NULL_IF_CONFIG_SMALL
#define NULL_IF_CONFIG_SMALL(x)
Return NULL if CONFIG_SMALL is true, otherwise the argument without modification.
Definition: internal.h:115
DECLARE_ALIGNED
#define DECLARE_ALIGNED(n, t, v)
Definition: mem_internal.h:87
convolution_options
static const AVOption convolution_options[]
Definition: vf_convolution.c:39
AV_PIX_FMT_YUV422P12
#define AV_PIX_FMT_YUV422P12
Definition: pixfmt.h:464
size
int size
Definition: twinvq_data.h:10344
filter16_prewitt
static void filter16_prewitt(uint8_t *dstp, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:108
AV_PIX_FMT_YUV444P12
#define AV_PIX_FMT_YUV444P12
Definition: pixfmt.h:466
filter16_column
static void filter16_column(uint8_t *dstp, int height, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:396
setup_5x5
static void setup_5x5(int radius, const uint8_t *c[], const uint8_t *src, int stride, int x, int w, int y, int h, int bpc)
Definition: vf_convolution.c:517
filter16_roberts
static void filter16_roberts(uint8_t *dstp, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:126
ff_filter_process_command
int ff_filter_process_command(AVFilterContext *ctx, const char *cmd, const char *arg, char *res, int res_len, int flags)
Generic processing of user supplied commands that are set in the same way as the filter options.
Definition: avfilter.c:842
config_input
static int config_input(AVFilterLink *inlink)
Definition: vf_convolution.c:825
height
#define height
AV_PIX_FMT_YUVA444P
@ AV_PIX_FMT_YUVA444P
planar YUV 4:4:4 32bpp, (1 Cr & Cb sample per 1x1 Y & A samples)
Definition: pixfmt.h:167
AV_PIX_FMT_YUVA444P10
#define AV_PIX_FMT_YUVA444P10
Definition: pixfmt.h:498
filter_row
static void filter_row(uint8_t *dst, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:476
same5x5
static const int same5x5[25]
Definition: vf_convolution.c:68
internal.h
AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC
#define AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC
Some filters support a generic "enable" expression option that can be used to enable or disable a fil...
Definition: avfilter.h:142
AV_OPT_TYPE_FLOAT
@ AV_OPT_TYPE_FLOAT
Definition: opt.h:228
i
#define i(width, name, range_min, range_max)
Definition: cbs_h2645.c:269
filter_kirsch
static void filter_kirsch(uint8_t *dst, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:268
param_init
static int param_init(AVFilterContext *ctx)
Definition: vf_convolution.c:650
FFMIN3
#define FFMIN3(a, b, c)
Definition: macros.h:50
AV_PIX_FMT_GBRP12
#define AV_PIX_FMT_GBRP12
Definition: pixfmt.h:476
ff_filter_get_nb_threads
int ff_filter_get_nb_threads(AVFilterContext *ctx)
Get number of threads for current filter instance.
Definition: avfilter.c:777
delta
float delta
Definition: vorbis_enc_data.h:430
ThreadData
Used for passing data between threads.
Definition: dsddec.c:69
FFMIN
#define FFMIN(a, b)
Definition: macros.h:49
same7x7
static const int same7x7[49]
Definition: vf_convolution.c:74
AV_PIX_FMT_YUVJ440P
@ AV_PIX_FMT_YUVJ440P
planar YUV 4:4:0 full scale (JPEG), deprecated in favor of AV_PIX_FMT_YUV440P and setting color_range
Definition: pixfmt.h:100
AVFilterPad::name
const char * name
Pad name.
Definition: internal.h:55
setup_7x7
static void setup_7x7(int radius, const uint8_t *c[], const uint8_t *src, int stride, int x, int w, int y, int h, int bpc)
Definition: vf_convolution.c:533
AV_PIX_FMT_YUV444P9
#define AV_PIX_FMT_YUV444P9
Definition: pixfmt.h:458
filter_scharr
static void filter_scharr(uint8_t *dst, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:246
setup_column
static void setup_column(int radius, const uint8_t *c[], const uint8_t *src, int stride, int x, int w, int y, int h, int bpc)
Definition: vf_convolution.c:563
stride
#define stride
Definition: h264pred_template.c:537
AVFilter
Filter definition.
Definition: avfilter.h:161
filter_3x3
static void filter_3x3(uint8_t *dst, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:457
filter_7x7
static void filter_7x7(uint8_t *dst, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:421
ret
ret
Definition: filter_design.txt:187
AV_PIX_FMT_YUVA444P9
#define AV_PIX_FMT_YUVA444P9
Definition: pixfmt.h:495
filter_column
static void filter_column(uint8_t *dst, int height, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:494
AV_PIX_FMT_YUV420P12
#define AV_PIX_FMT_YUV420P12
Definition: pixfmt.h:463
filter_roberts
static void filter_roberts(uint8_t *dst, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:231
AV_PIX_FMT_YUV422P14
#define AV_PIX_FMT_YUV422P14
Definition: pixfmt.h:468
c2
static const uint64_t c2
Definition: murmur3.c:52
AVFILTER_DEFINE_CLASS_EXT
AVFILTER_DEFINE_CLASS_EXT(common, "kirsch/prewitt/roberts/scharr/sobel", common_options)
mode
mode
Definition: ebur128.h:83
AV_PIX_FMT_NONE
@ AV_PIX_FMT_NONE
Definition: pixfmt.h:65
AV_PIX_FMT_YUVA422P12
#define AV_PIX_FMT_YUVA422P12
Definition: pixfmt.h:499
AV_OPT_TYPE_INT
@ AV_OPT_TYPE_INT
Definition: opt.h:225
avfilter.h
AV_RN16A
#define AV_RN16A(p)
Definition: intreadwrite.h:522
FLAGS
#define FLAGS
Definition: vf_convolution.c:37
filter16_5x5
static void filter16_5x5(uint8_t *dstp, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:339
filter_5x5
static void filter_5x5(uint8_t *dst, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:439
av_clip_uint8
#define av_clip_uint8
Definition: common.h:101
AV_PIX_FMT_YUV444P
@ AV_PIX_FMT_YUV444P
planar YUV 4:4:4, 24bpp, (1 Cr & Cb sample per 1x1 Y samples)
Definition: pixfmt.h:71
AVFilterContext
An instance of a filter.
Definition: avfilter.h:392
MATRIX_COLUMN
@ MATRIX_COLUMN
Definition: convolution.h:29
ff_vf_sobel
const AVFilter ff_vf_sobel
AV_PIX_FMT_GBRP
@ AV_PIX_FMT_GBRP
planar GBR 4:4:4 24bpp
Definition: pixfmt.h:158
AVFILTER_FLAG_SLICE_THREADS
#define AVFILTER_FLAG_SLICE_THREADS
The filter supports multithreading by splitting frames into multiple parts and processing them concur...
Definition: avfilter.h:117
av_strdup
char * av_strdup(const char *s)
Duplicate a string.
Definition: mem.c:270
desc
const char * desc
Definition: libsvtav1.c:83
AVMEDIA_TYPE_VIDEO
@ AVMEDIA_TYPE_VIDEO
Definition: avutil.h:201
AV_PIX_FMT_YUV422P
@ AV_PIX_FMT_YUV422P
planar YUV 4:2:2, 16bpp, (1 Cr & Cb sample per 2x1 Y samples)
Definition: pixfmt.h:70
AVPixFmtDescriptor
Descriptor that unambiguously describes how the bits of a pixel are stored in the up to 4 data planes...
Definition: pixdesc.h:69
ff_convolution_init_x86
void ff_convolution_init_x86(ConvolutionContext *s)
Definition: vf_convolution_init.c:37
FILTER_OUTPUTS
#define FILTER_OUTPUTS(array)
Definition: internal.h:195
av_freep
#define av_freep(p)
Definition: tableprint_vlc.h:34
src
INIT_CLIP pixel * src
Definition: h264pred_template.c:418
AV_PIX_FMT_YUV411P
@ AV_PIX_FMT_YUV411P
planar YUV 4:1:1, 12bpp, (1 Cr & Cb sample per 4x1 Y samples)
Definition: pixfmt.h:73
filter16_kirsch
static void filter16_kirsch(uint8_t *dstp, int width, float scale, float delta, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:162
imgutils.h
flags
#define flags(name, subs,...)
Definition: cbs_av1.c:561
AVFrame::linesize
int linesize[AV_NUM_DATA_POINTERS]
For video, a positive or negative value, which is typically indicating the size in bytes of each pict...
Definition: frame.h:375
AV_PIX_FMT_YUV410P
@ AV_PIX_FMT_YUV410P
planar YUV 4:1:0, 9bpp, (1 Cr & Cb sample per 4x4 Y samples)
Definition: pixfmt.h:72
av_log
#define av_log(a,...)
Definition: tableprint_vlc.h:27
AV_PIX_FMT_YUV440P12
#define AV_PIX_FMT_YUV440P12
Definition: pixfmt.h:465
h
h
Definition: vp9dsp_template.c:2038
AV_PIX_FMT_YUV444P14
#define AV_PIX_FMT_YUV444P14
Definition: pixfmt.h:469
avstring.h
AV_OPT_TYPE_STRING
@ AV_OPT_TYPE_STRING
Definition: opt.h:229
AV_PIX_FMT_GRAY12
#define AV_PIX_FMT_GRAY12
Definition: pixfmt.h:441
ff_filter_execute
static av_always_inline int ff_filter_execute(AVFilterContext *ctx, avfilter_action_func *func, void *arg, int *ret, int nb_jobs)
Definition: internal.h:146
int
int
Definition: ffmpeg_filter.c:156
AV_OPT_TYPE_CONST
@ AV_OPT_TYPE_CONST
Definition: opt.h:234
filter16_row
static void filter16_row(uint8_t *dstp, int width, float rdiv, float bias, const int *const matrix, const uint8_t *c[], int peak, int radius, int dstride, int stride, int size)
Definition: vf_convolution.c:377
AV_PIX_FMT_YUVA422P
@ AV_PIX_FMT_YUVA422P
planar YUV 4:2:2 24bpp, (1 Cr & Cb sample per 2x1 Y & A samples)
Definition: pixfmt.h:166
AV_PIX_FMT_YUV420P14
#define AV_PIX_FMT_YUV420P14
Definition: pixfmt.h:467
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