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.h"
28 #include "libavutil/mem_internal.h"
29 #include "libavutil/opt.h"
30 #include "libavutil/pixdesc.h"
31 #include "avfilter.h"
32 #include "convolution.h"
33 #include "filters.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(user_rdiv[0]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
45  { "1rdiv", "set rdiv for 2nd plane", OFFSET(user_rdiv[1]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
46  { "2rdiv", "set rdiv for 3rd plane", OFFSET(user_rdiv[2]), AV_OPT_TYPE_FLOAT, {.dbl=0.0}, 0.0, INT_MAX, FLAGS},
47  { "3rdiv", "set rdiv for 4th plane", OFFSET(user_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, .unit = "mode" },
53  { "1mode", "set matrix mode for 2nd plane", OFFSET(mode[1]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, .unit = "mode" },
54  { "2mode", "set matrix mode for 3rd plane", OFFSET(mode[2]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, .unit = "mode" },
55  { "3mode", "set matrix mode for 4th plane", OFFSET(mode[3]), AV_OPT_TYPE_INT, {.i64=MATRIX_SQUARE}, 0, MATRIX_NBMODES-1, FLAGS, .unit = "mode" },
56  { "square", "square matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_SQUARE}, 0, 0, FLAGS, .unit = "mode" },
57  { "row", "single row matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_ROW} , 0, 0, FLAGS, .unit = "mode" },
58  { "column", "single column matrix", 0, AV_OPT_TYPE_CONST, {.i64=MATRIX_COLUMN}, 0, 0, FLAGS, .unit = "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 = avpriv_mirror(x + (i % 5) - 2, w - 1);
524  int yoff = avpriv_mirror(y + (i / 5) - 2, h - 1);
525 
526  c[i] = src + xoff * bpc + yoff * stride;
527  }
528 }
529 
530 static void setup_7x7(int radius, const uint8_t *c[], const uint8_t *src, int stride,
531  int x, int w, int y, int h, int bpc)
532 {
533  int i;
534 
535  for (i = 0; i < 49; i++) {
536  int xoff = avpriv_mirror(x + (i % 7) - 3, w - 1);
537  int yoff = avpriv_mirror(y + (i / 7) - 3, h - 1);
538 
539  c[i] = src + xoff * bpc + yoff * stride;
540  }
541 }
542 
543 static void setup_row(int radius, const uint8_t *c[], const uint8_t *src, int stride,
544  int x, int w, int y, int h, int bpc)
545 {
546  int i;
547 
548  for (i = 0; i < radius * 2 + 1; i++) {
549  int xoff = avpriv_mirror(x + i - radius, w - 1);
550 
551  c[i] = src + xoff * bpc + y * stride;
552  }
553 }
554 
555 static void setup_column(int radius, const uint8_t *c[], const uint8_t *src, int stride,
556  int x, int w, int y, int h, int bpc)
557 {
558  int i;
559 
560  for (i = 0; i < radius * 2 + 1; i++) {
561  int xoff = avpriv_mirror(x + i - radius, h - 1);
562 
563  c[i] = src + y * bpc + xoff * stride;
564  }
565 }
566 
567 static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
568 {
569  ConvolutionContext *s = ctx->priv;
570  ThreadData *td = arg;
571  AVFrame *in = td->in;
572  AVFrame *out = td->out;
573  int plane;
574 
575  for (plane = 0; plane < s->nb_planes; plane++) {
576  const int mode = s->mode[plane];
577  const int bpc = s->bpc;
578  const int radius = s->size[plane] / 2;
579  const int height = s->planeheight[plane];
580  const int width = s->planewidth[plane];
581  const int stride = in->linesize[plane];
582  const int dstride = out->linesize[plane];
583  const int sizeh = mode == MATRIX_COLUMN ? width : height;
584  const int sizew = mode == MATRIX_COLUMN ? height : width;
585  const int slice_start = (sizeh * jobnr) / nb_jobs;
586  const int slice_end = (sizeh * (jobnr+1)) / nb_jobs;
587  const float rdiv = s->rdiv[plane];
588  const float bias = s->bias[plane];
589  const uint8_t *src = in->data[plane];
590  const int dst_pos = slice_start * (mode == MATRIX_COLUMN ? bpc : dstride);
591  uint8_t *dst = out->data[plane] + dst_pos;
592  const int *matrix = s->matrix[plane];
593  const int step = mode == MATRIX_COLUMN ? 16 : 1;
594  const uint8_t *c[49];
595  int y, x;
596 
597  if (s->copy[plane]) {
598  if (mode == MATRIX_COLUMN)
599  av_image_copy_plane(dst, dstride, src + slice_start * bpc, stride,
600  (slice_end - slice_start) * bpc, height);
601  else
602  av_image_copy_plane(dst, dstride, src + slice_start * stride, stride,
603  width * bpc, slice_end - slice_start);
604  continue;
605  }
606  for (y = slice_start; y < slice_end; y += step) {
607  const int left = FFMIN(radius, sizew);
608  const int right = FFMAX(left, sizew - radius);
609  const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : left * bpc;
610  const int yoff = mode == MATRIX_COLUMN ? left * dstride : 0;
611 
612  for (x = 0; x < left; x++) {
613  const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc;
614  const int yoff = mode == MATRIX_COLUMN ? x * dstride : 0;
615 
616  s->setup[plane](radius, c, src, stride, x, width, y, height, bpc);
617  s->filter[plane](dst + yoff + xoff, 1, rdiv,
618  bias, matrix, c, s->max, radius,
619  dstride, stride, slice_end - step);
620  }
621  s->setup[plane](radius, c, src, stride, left, width, y, height, bpc);
622  s->filter[plane](dst + yoff + xoff, right - left,
623  rdiv, bias, matrix, c, s->max, radius,
624  dstride, stride, slice_end - step);
625  for (x = right; x < sizew; x++) {
626  const int xoff = mode == MATRIX_COLUMN ? (y - slice_start) * bpc : x * bpc;
627  const int yoff = mode == MATRIX_COLUMN ? x * dstride : 0;
628 
629  s->setup[plane](radius, c, src, stride, x, width, y, height, bpc);
630  s->filter[plane](dst + yoff + xoff, 1, rdiv,
631  bias, matrix, c, s->max, radius,
632  dstride, stride, slice_end - step);
633  }
634  if (mode != MATRIX_COLUMN)
635  dst += dstride;
636  }
637  }
638 
639  return 0;
640 }
641 
642 static int param_init(AVFilterContext *ctx)
643 {
644  ConvolutionContext *s = ctx->priv;
645  AVFilterLink *inlink = ctx->inputs[0];
646  const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
647  int p, i;
648 
649  s->depth = desc->comp[0].depth;
650  s->max = (1 << s->depth) - 1;
651 
652  s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
653  s->planewidth[0] = s->planewidth[3] = inlink->w;
654  s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
655  s->planeheight[0] = s->planeheight[3] = inlink->h;
656 
657  s->nb_planes = av_pix_fmt_count_planes(inlink->format);
658  s->nb_threads = ff_filter_get_nb_threads(ctx);
659  s->bpc = (s->depth + 7) / 8;
660 
661  if (!strcmp(ctx->filter->name, "convolution")) {
662  for (i = 0; i < 4; i++) {
663  int *matrix = (int *)s->matrix[i];
664  char *orig, *p, *arg, *saveptr = NULL;
665  float sum = 1.f;
666 
667  p = orig = av_strdup(s->matrix_str[i]);
668  if (p) {
669  s->matrix_length[i] = 0;
670  s->rdiv[i] = s->user_rdiv[i];
671  sum = 0.f;
672 
673  while (s->matrix_length[i] < 49) {
674  if (!(arg = av_strtok(p, " |", &saveptr)))
675  break;
676 
677  p = NULL;
678  sscanf(arg, "%d", &matrix[s->matrix_length[i]]);
679  sum += matrix[s->matrix_length[i]];
680  s->matrix_length[i]++;
681  }
682 
683  av_freep(&orig);
684  if (!(s->matrix_length[i] & 1)) {
685  av_log(ctx, AV_LOG_ERROR, "number of matrix elements must be odd\n");
686  return AVERROR(EINVAL);
687  }
688  }
689 
690  if (s->mode[i] == MATRIX_ROW) {
691  s->filter[i] = filter_row;
692  s->setup[i] = setup_row;
693  s->size[i] = s->matrix_length[i];
694  } else if (s->mode[i] == MATRIX_COLUMN) {
695  s->filter[i] = filter_column;
696  s->setup[i] = setup_column;
697  s->size[i] = s->matrix_length[i];
698  } else if (s->matrix_length[i] == 9) {
699  s->size[i] = 3;
700 
701  if (!memcmp(matrix, same3x3, sizeof(same3x3))) {
702  s->copy[i] = 1;
703  } else {
704  s->filter[i] = filter_3x3;
705  s->copy[i] = 0;
706  }
707  s->setup[i] = setup_3x3;
708  } else if (s->matrix_length[i] == 25) {
709  s->size[i] = 5;
710  if (!memcmp(matrix, same5x5, sizeof(same5x5))) {
711  s->copy[i] = 1;
712  } else {
713  s->filter[i] = filter_5x5;
714  s->copy[i] = 0;
715  }
716  s->setup[i] = setup_5x5;
717  } else if (s->matrix_length[i] == 49) {
718  s->size[i] = 7;
719  if (!memcmp(matrix, same7x7, sizeof(same7x7))) {
720  s->copy[i] = 1;
721  } else {
722  s->filter[i] = filter_7x7;
723  s->copy[i] = 0;
724  }
725  s->setup[i] = setup_7x7;
726  } else {
727  return AVERROR(EINVAL);
728  }
729 
730  if (sum == 0)
731  sum = 1;
732  if (s->rdiv[i] == 0)
733  s->rdiv[i] = 1. / sum;
734 
735  if (s->copy[i] && (s->rdiv[i] != 1. || s->bias[i] != 0.))
736  s->copy[i] = 0;
737  }
738  } else if (!strcmp(ctx->filter->name, "prewitt")) {
739  for (i = 0; i < 4; i++) {
740  s->filter[i] = filter_prewitt;
741  s->copy[i] = !((1 << i) & s->planes);
742  s->size[i] = 3;
743  s->setup[i] = setup_3x3;
744  s->rdiv[i] = s->scale;
745  s->bias[i] = s->delta;
746  }
747  } else if (!strcmp(ctx->filter->name, "roberts")) {
748  for (i = 0; i < 4; i++) {
749  s->filter[i] = filter_roberts;
750  s->copy[i] = !((1 << i) & s->planes);
751  s->size[i] = 3;
752  s->setup[i] = setup_3x3;
753  s->rdiv[i] = s->scale;
754  s->bias[i] = s->delta;
755  }
756 #if CONFIG_SOBEL_FILTER
757  } else if (!strcmp(ctx->filter->name, "sobel")) {
758  ff_sobel_init(s, s->depth, s->nb_planes);
759 #endif
760  } else if (!strcmp(ctx->filter->name, "kirsch")) {
761  for (i = 0; i < 4; i++) {
762  s->filter[i] = filter_kirsch;
763  s->copy[i] = !((1 << i) & s->planes);
764  s->size[i] = 3;
765  s->setup[i] = setup_3x3;
766  s->rdiv[i] = s->scale;
767  s->bias[i] = s->delta;
768  }
769  } else if (!strcmp(ctx->filter->name, "scharr")) {
770  for (i = 0; i < 4; i++) {
771  s->filter[i] = filter_scharr;
772  s->copy[i] = !((1 << i) & s->planes);
773  s->size[i] = 3;
774  s->setup[i] = setup_3x3;
775  s->rdiv[i] = s->scale;
776  s->bias[i] = s->delta;
777  }
778  }
779 
780  if (!strcmp(ctx->filter->name, "convolution")) {
781  if (s->depth > 8) {
782  for (p = 0; p < s->nb_planes; p++) {
783  if (s->mode[p] == MATRIX_ROW)
784  s->filter[p] = filter16_row;
785  else if (s->mode[p] == MATRIX_COLUMN)
786  s->filter[p] = filter16_column;
787  else if (s->size[p] == 3)
788  s->filter[p] = filter16_3x3;
789  else if (s->size[p] == 5)
790  s->filter[p] = filter16_5x5;
791  else if (s->size[p] == 7)
792  s->filter[p] = filter16_7x7;
793  }
794  }
795 #if CONFIG_CONVOLUTION_FILTER && ARCH_X86_64 && HAVE_X86ASM
796  ff_convolution_init_x86(s);
797 #endif
798  } else if (!strcmp(ctx->filter->name, "prewitt")) {
799  if (s->depth > 8)
800  for (p = 0; p < s->nb_planes; p++)
801  s->filter[p] = filter16_prewitt;
802  } else if (!strcmp(ctx->filter->name, "roberts")) {
803  if (s->depth > 8)
804  for (p = 0; p < s->nb_planes; p++)
805  s->filter[p] = filter16_roberts;
806  } else if (!strcmp(ctx->filter->name, "kirsch")) {
807  if (s->depth > 8)
808  for (p = 0; p < s->nb_planes; p++)
809  s->filter[p] = filter16_kirsch;
810  } else if (!strcmp(ctx->filter->name, "scharr")) {
811  if (s->depth > 8)
812  for (p = 0; p < s->nb_planes; p++)
813  s->filter[p] = filter16_scharr;
814  }
815 
816  return 0;
817 }
818 
819 static int config_input(AVFilterLink *inlink)
820 {
821  AVFilterContext *ctx = inlink->dst;
822  return param_init(ctx);
823 }
824 
825 static int filter_frame(AVFilterLink *inlink, AVFrame *in)
826 {
827  AVFilterContext *ctx = inlink->dst;
828  ConvolutionContext *s = ctx->priv;
829  AVFilterLink *outlink = ctx->outputs[0];
830  AVFrame *out;
831  ThreadData td;
832 
833  out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
834  if (!out) {
835  av_frame_free(&in);
836  return AVERROR(ENOMEM);
837  }
838  av_frame_copy_props(out, in);
839 
840  td.in = in;
841  td.out = out;
842  ff_filter_execute(ctx, filter_slice, &td, NULL,
843  FFMIN3(s->planeheight[1], s->planewidth[1], s->nb_threads));
844 
845  av_frame_free(&in);
846  return ff_filter_frame(outlink, out);
847 }
848 
849 static int process_command(AVFilterContext *ctx, const char *cmd, const char *args,
850  char *res, int res_len, int flags)
851 {
852  int ret;
853 
854  ret = ff_filter_process_command(ctx, cmd, args, res, res_len, flags);
855  if (ret < 0)
856  return ret;
857 
858  return param_init(ctx);
859 }
860 
861 static const AVFilterPad convolution_inputs[] = {
862  {
863  .name = "default",
864  .type = AVMEDIA_TYPE_VIDEO,
865  .config_props = config_input,
866  .filter_frame = filter_frame,
867  },
868 };
869 
870 #if CONFIG_CONVOLUTION_FILTER
871 
872 const FFFilter ff_vf_convolution = {
873  .p.name = "convolution",
874  .p.description = NULL_IF_CONFIG_SMALL("Apply convolution filter."),
875  .p.priv_class = &convolution_class,
876  .p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
877  .priv_size = sizeof(ConvolutionContext),
878  FILTER_INPUTS(convolution_inputs),
879  FILTER_OUTPUTS(ff_video_default_filterpad),
880  FILTER_PIXFMTS_ARRAY(pix_fmts),
881  .process_command = process_command,
882 };
883 
884 #endif /* CONFIG_CONVOLUTION_FILTER */
885 
886 static const AVOption common_options[] = {
887  { "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=15}, 0, 15, FLAGS},
888  { "scale", "set scale", OFFSET(scale), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 65535, FLAGS},
889  { "delta", "set delta", OFFSET(delta), AV_OPT_TYPE_FLOAT, {.dbl=0}, -65535, 65535, FLAGS},
890  { NULL }
891 };
892 
893 AVFILTER_DEFINE_CLASS_EXT(common, "kirsch/prewitt/roberts/scharr/sobel",
894  common_options);
895 
896 #if CONFIG_PREWITT_FILTER
897 
898 const FFFilter ff_vf_prewitt = {
899  .p.name = "prewitt",
900  .p.description = NULL_IF_CONFIG_SMALL("Apply prewitt operator."),
901  .p.priv_class = &common_class,
902  .p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
903  .priv_size = sizeof(ConvolutionContext),
904  FILTER_INPUTS(convolution_inputs),
905  FILTER_OUTPUTS(ff_video_default_filterpad),
906  FILTER_PIXFMTS_ARRAY(pix_fmts),
907  .process_command = process_command,
908 };
909 
910 #endif /* CONFIG_PREWITT_FILTER */
911 
912 #if CONFIG_SOBEL_FILTER
913 
914 const FFFilter ff_vf_sobel = {
915  .p.name = "sobel",
916  .p.description = NULL_IF_CONFIG_SMALL("Apply sobel operator."),
917  .p.priv_class = &common_class,
918  .p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
919  .priv_size = sizeof(ConvolutionContext),
920  FILTER_INPUTS(convolution_inputs),
921  FILTER_OUTPUTS(ff_video_default_filterpad),
922  FILTER_PIXFMTS_ARRAY(pix_fmts),
923  .process_command = process_command,
924 };
925 
926 #endif /* CONFIG_SOBEL_FILTER */
927 
928 #if CONFIG_ROBERTS_FILTER
929 
930 const FFFilter ff_vf_roberts = {
931  .p.name = "roberts",
932  .p.description = NULL_IF_CONFIG_SMALL("Apply roberts cross operator."),
933  .p.priv_class = &common_class,
934  .p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
935  .priv_size = sizeof(ConvolutionContext),
936  FILTER_INPUTS(convolution_inputs),
937  FILTER_OUTPUTS(ff_video_default_filterpad),
938  FILTER_PIXFMTS_ARRAY(pix_fmts),
939  .process_command = process_command,
940 };
941 
942 #endif /* CONFIG_ROBERTS_FILTER */
943 
944 #if CONFIG_KIRSCH_FILTER
945 
946 const FFFilter ff_vf_kirsch = {
947  .p.name = "kirsch",
948  .p.description = NULL_IF_CONFIG_SMALL("Apply kirsch operator."),
949  .p.priv_class = &common_class,
950  .p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
951  .priv_size = sizeof(ConvolutionContext),
952  FILTER_INPUTS(convolution_inputs),
953  FILTER_OUTPUTS(ff_video_default_filterpad),
954  FILTER_PIXFMTS_ARRAY(pix_fmts),
955  .process_command = process_command,
956 };
957 
958 #endif /* CONFIG_KIRSCH_FILTER */
959 
960 #if CONFIG_SCHARR_FILTER
961 
962 const FFFilter ff_vf_scharr = {
963  .p.name = "scharr",
964  .p.description = NULL_IF_CONFIG_SMALL("Apply scharr operator."),
965  .p.priv_class = &common_class,
966  .p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS,
967  .priv_size = sizeof(ConvolutionContext),
968  FILTER_INPUTS(convolution_inputs),
969  FILTER_OUTPUTS(ff_video_default_filterpad),
970  FILTER_PIXFMTS_ARRAY(pix_fmts),
971  .process_command = process_command,
972 };
973 
974 #endif /* CONFIG_SCHARR_FILTER */
flags
const SwsFlags flags[]
Definition: swscale.c:61
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:118
AV_PIX_FMT_YUVA422P16
#define AV_PIX_FMT_YUVA422P16
Definition: pixfmt.h:596
AV_PIX_FMT_GBRAP16
#define AV_PIX_FMT_GBRAP16
Definition: pixfmt.h:565
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:69
AVPixelFormat
AVPixelFormat
Pixel format.
Definition: pixfmt.h:71
av_clip
#define av_clip
Definition: common.h:100
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
FILTER_PIXFMTS_ARRAY
#define FILTER_PIXFMTS_ARRAY(array)
Definition: filters.h:244
out
static FILE * out
Definition: movenc.c:55
ff_vf_kirsch
const FFFilter ff_vf_kirsch
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:1067
av_pix_fmt_desc_get
const AVPixFmtDescriptor * av_pix_fmt_desc_get(enum AVPixelFormat pix_fmt)
Definition: pixdesc.c:3456
matrix
Definition: vc1dsp.c:43
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:64
AV_PIX_FMT_YUVA422P9
#define AV_PIX_FMT_YUVA422P9
Definition: pixfmt.h:588
FILTER_INPUTS
#define FILTER_INPUTS(array)
Definition: filters.h:264
mode
Definition: swscale.c:56
AVFrame
This structure describes decoded (raw) audio or video data.
Definition: frame.h:427
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:595
AV_PIX_FMT_YUVA420P10
#define AV_PIX_FMT_YUVA420P10
Definition: pixfmt.h:590
AVOption
AVOption.
Definition: opt.h:429
AV_PIX_FMT_YUV420P10
#define AV_PIX_FMT_YUV420P10
Definition: pixfmt.h:539
AV_PIX_FMT_YUV440P
@ AV_PIX_FMT_YUV440P
planar YUV 4:4:0 (1 Cr & Cb sample per 1x2 Y samples)
Definition: pixfmt.h:106
filter_frame
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
Definition: vf_convolution.c:825
FFMAX
#define FFMAX(a, b)
Definition: macros.h:47
AVFilter::name
const char * name
Filter name.
Definition: avfilter.h:220
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:52
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:526
convolution.h
video.h
ThreadData::in
AVFrame * in
Definition: af_adecorrelate.c:155
AV_PIX_FMT_YUVA422P10
#define AV_PIX_FMT_YUVA422P10
Definition: pixfmt.h:591
AV_PIX_FMT_GRAY9
#define AV_PIX_FMT_GRAY9
Definition: pixfmt.h:518
AVFrame::data
uint8_t * data[AV_NUM_DATA_POINTERS]
pointer to the picture/channel planes.
Definition: frame.h:448
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:567
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:543
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:3496
AV_PIX_FMT_YUVA420P9
#define AV_PIX_FMT_YUVA420P9
Definition: pixfmt.h:587
AV_PIX_FMT_GBRP14
#define AV_PIX_FMT_GBRP14
Definition: pixfmt.h:560
slice_end
static int slice_end(AVCodecContext *avctx, AVFrame *pict, int *got_output)
Handle slice ends.
Definition: mpeg12dec.c:1693
AV_PIX_FMT_GBRAP
@ AV_PIX_FMT_GBRAP
planar GBRA 4:4:4:4 32bpp
Definition: pixfmt.h:212
AV_PIX_FMT_GBRP10
#define AV_PIX_FMT_GBRP10
Definition: pixfmt.h:558
AV_PIX_FMT_YUVA444P16
#define AV_PIX_FMT_YUVA444P16
Definition: pixfmt.h:597
AV_PIX_FMT_YUV422P9
#define AV_PIX_FMT_YUV422P9
Definition: pixfmt.h:537
AV_PIX_FMT_GRAY16
#define AV_PIX_FMT_GRAY16
Definition: pixfmt.h:522
AVFilterPad
A filter pad used for either input or output.
Definition: filters.h:40
AVFILTER_DEFINE_CLASS
AVFILTER_DEFINE_CLASS(convolution)
convolution_inputs
static const AVFilterPad convolution_inputs[]
Definition: vf_convolution.c:861
AV_PIX_FMT_YUV444P10
#define AV_PIX_FMT_YUV444P10
Definition: pixfmt.h:542
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:283
AV_LOG_ERROR
#define AV_LOG_ERROR
Something went wrong and cannot losslessly be recovered.
Definition: log.h:210
AV_PIX_FMT_YUV422P16
#define AV_PIX_FMT_YUV422P16
Definition: pixfmt.h:551
MATRIX_NBMODES
@ MATRIX_NBMODES
Definition: convolution.h:31
ff_video_default_filterpad
const AVFilterPad ff_video_default_filterpad[1]
An AVFilterPad array whose only entry has name "default" and is of type AVMEDIA_TYPE_VIDEO.
Definition: video.c:37
FFFilter
Definition: filters.h:267
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:86
AV_PIX_FMT_GBRAP10
#define AV_PIX_FMT_GBRAP10
Definition: pixfmt.h:562
intreadwrite.h
s
#define s(width, name)
Definition: cbs_vp9.c:198
MATRIX_SQUARE
@ MATRIX_SQUARE
Definition: convolution.h:28
AV_PIX_FMT_GBRAP12
#define AV_PIX_FMT_GBRAP12
Definition: pixfmt.h:563
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:108
AV_PIX_FMT_YUV444P16
#define AV_PIX_FMT_YUV444P16
Definition: pixfmt.h:552
AV_CEIL_RSHIFT
#define AV_CEIL_RSHIFT(a, b)
Definition: common.h:60
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
filters.h
AV_PIX_FMT_YUVA444P12
#define AV_PIX_FMT_YUVA444P12
Definition: pixfmt.h:594
AV_PIX_FMT_YUV420P9
#define AV_PIX_FMT_YUV420P9
Definition: pixfmt.h:536
AV_PIX_FMT_YUV420P16
#define AV_PIX_FMT_YUV420P16
Definition: pixfmt.h:550
ctx
static AVFormatContext * ctx
Definition: movenc.c:49
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:849
AV_PIX_FMT_GRAY14
#define AV_PIX_FMT_GRAY14
Definition: pixfmt.h:521
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:73
FILTER_OUTPUTS
#define FILTER_OUTPUTS(array)
Definition: filters.h:265
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:87
arg
const char * arg
Definition: jacosubdec.c:65
FFABS
#define FFABS(a)
Absolute value, Note, INT_MIN / INT64_MIN result in undefined behavior as they are not representable ...
Definition: common.h:74
AV_PIX_FMT_GRAY10
#define AV_PIX_FMT_GRAY10
Definition: pixfmt.h:519
AV_PIX_FMT_GBRP16
#define AV_PIX_FMT_GBRP16
Definition: pixfmt.h:561
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:599
bias
static int bias(int x, int c)
Definition: vqcdec.c:115
MATRIX_ROW
@ MATRIX_ROW
Definition: convolution.h:29
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:85
planes
static const struct @559 planes[]
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:34
AV_PIX_FMT_YUV422P10
#define AV_PIX_FMT_YUV422P10
Definition: pixfmt.h:540
avpriv_mirror
static av_always_inline av_const int avpriv_mirror(int x, int w)
Definition: internal.h:140
common_options
static const AVOption common_options[]
Definition: vf_convolution.c:886
AV_PIX_FMT_GRAY8
@ AV_PIX_FMT_GRAY8
Y , 8bpp.
Definition: pixfmt.h:81
AV_PIX_FMT_GBRP9
#define AV_PIX_FMT_GBRP9
Definition: pixfmt.h:557
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
f
f
Definition: af_crystalizer.c:122
ff_vf_scharr
const FFFilter ff_vf_scharr
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:94
height
#define height
Definition: dsp.h:89
DECLARE_ALIGNED
#define DECLARE_ALIGNED(n, t, v)
Definition: mem_internal.h:104
dst
uint8_t ptrdiff_t const uint8_t ptrdiff_t int intptr_t intptr_t int int16_t * dst
Definition: dsp.h:87
convolution_options
static const AVOption convolution_options[]
Definition: vf_convolution.c:39
i
#define i(width, name, range_min, range_max)
Definition: cbs_h264.c:63
AV_PIX_FMT_YUV422P12
#define AV_PIX_FMT_YUV422P12
Definition: pixfmt.h:544
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:546
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_vf_prewitt
const FFFilter ff_vf_prewitt
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:905
config_input
static int config_input(AVFilterLink *inlink)
Definition: vf_convolution.c:819
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:174
AV_PIX_FMT_YUVA444P10
#define AV_PIX_FMT_YUVA444P10
Definition: pixfmt.h:592
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
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:197
AV_OPT_TYPE_FLOAT
@ AV_OPT_TYPE_FLOAT
Underlying C type is float.
Definition: opt.h:271
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:642
FFMIN3
#define FFMIN3(a, b, c)
Definition: macros.h:50
AV_PIX_FMT_GBRP12
#define AV_PIX_FMT_GBRP12
Definition: pixfmt.h:559
ff_filter_get_nb_threads
int ff_filter_get_nb_threads(AVFilterContext *ctx)
Get number of threads for current filter instance.
Definition: avfilter.c:845
delta
float delta
Definition: vorbis_enc_data.h:430
ThreadData
Used for passing data between threads.
Definition: dsddec.c:71
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:107
AVFilterPad::name
const char * name
Pad name.
Definition: filters.h:46
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:530
AV_PIX_FMT_YUV444P9
#define AV_PIX_FMT_YUV444P9
Definition: pixfmt.h:538
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:555
slice_start
static int slice_start(SliceContext *sc, VVCContext *s, VVCFrameContext *fc, const CodedBitstreamUnit *unit, const int is_first_slice)
Definition: dec.c:844
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:589
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:543
left
Tag MUST be and< 10hcoeff half pel interpolation filter coefficients, hcoeff[0] are the 2 middle coefficients[1] are the next outer ones and so on, resulting in a filter like:...eff[2], hcoeff[1], hcoeff[0], hcoeff[0], hcoeff[1], hcoeff[2] ... the sign of the coefficients is not explicitly stored but alternates after each coeff and coeff[0] is positive, so ...,+,-,+,-,+,+,-,+,-,+,... hcoeff[0] is not explicitly stored but found by subtracting the sum of all stored coefficients with signs from 32 hcoeff[0]=32 - hcoeff[1] - hcoeff[2] - ... a good choice for hcoeff and htaps is htaps=6 hcoeff={40,-10, 2} an alternative which requires more computations at both encoder and decoder side and may or may not be better is htaps=8 hcoeff={42,-14, 6,-2}ref_frames minimum of the number of available reference frames and max_ref_frames for example the first frame after a key frame always has ref_frames=1spatial_decomposition_type wavelet type 0 is a 9/7 symmetric compact integer wavelet 1 is a 5/3 symmetric compact integer wavelet others are reserved stored as delta from last, last is reset to 0 if always_reset||keyframeqlog quality(logarithmic quantizer scale) stored as delta from last, last is reset to 0 if always_reset||keyframemv_scale stored as delta from last, last is reset to 0 if always_reset||keyframe FIXME check that everything works fine if this changes between framesqbias dequantization bias stored as delta from last, last is reset to 0 if always_reset||keyframeblock_max_depth maximum depth of the block tree stored as delta from last, last is reset to 0 if always_reset||keyframequant_table quantization tableHighlevel bitstream structure:==============================--------------------------------------------|Header|--------------------------------------------|------------------------------------|||Block0||||split?||||yes no||||......... intra?||||:Block01 :yes no||||:Block02 :....... ..........||||:Block03 ::y DC ::ref index:||||:Block04 ::cb DC ::motion x :||||......... :cr DC ::motion y :||||....... ..........|||------------------------------------||------------------------------------|||Block1|||...|--------------------------------------------|------------ ------------ ------------|||Y subbands||Cb subbands||Cr subbands||||--- ---||--- ---||--- ---|||||LL0||HL0||||LL0||HL0||||LL0||HL0|||||--- ---||--- ---||--- ---||||--- ---||--- ---||--- ---|||||LH0||HH0||||LH0||HH0||||LH0||HH0|||||--- ---||--- ---||--- ---||||--- ---||--- ---||--- ---|||||HL1||LH1||||HL1||LH1||||HL1||LH1|||||--- ---||--- ---||--- ---||||--- ---||--- ---||--- ---|||||HH1||HL2||||HH1||HL2||||HH1||HL2|||||...||...||...|||------------ ------------ ------------|--------------------------------------------Decoding process:=================------------|||Subbands|------------||||------------|Intra DC||||LL0 subband prediction ------------|\ Dequantization ------------------- \||Reference frames|\ IDWT|------- -------|Motion \|||Frame 0||Frame 1||Compensation . OBMC v -------|------- -------|--------------. \------> Frame n output Frame Frame<----------------------------------/|...|------------------- Range Coder:============Binary Range Coder:------------------- The implemented range coder is an adapted version based upon "Range encoding: an algorithm for removing redundancy from a digitised message." by G. N. N. Martin. The symbols encoded by the Snow range coder are bits(0|1). The associated probabilities are not fix but change depending on the symbol mix seen so far. bit seen|new state ---------+----------------------------------------------- 0|256 - state_transition_table[256 - old_state];1|state_transition_table[old_state];state_transition_table={ 0, 0, 0, 0, 0, 0, 0, 0, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 190, 191, 192, 194, 194, 195, 196, 197, 198, 199, 200, 201, 202, 202, 204, 205, 206, 207, 208, 209, 209, 210, 211, 212, 213, 215, 215, 216, 217, 218, 219, 220, 220, 222, 223, 224, 225, 226, 227, 227, 229, 229, 230, 231, 232, 234, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 248, 0, 0, 0, 0, 0, 0, 0};FIXME Range Coding of integers:------------------------- FIXME Neighboring Blocks:===================left and top are set to the respective blocks unless they are outside of the image in which case they are set to the Null block top-left is set to the top left block unless it is outside of the image in which case it is set to the left block if this block has no larger parent block or it is at the left side of its parent block and the top right block is not outside of the image then the top right block is used for top-right else the top-left block is used Null block y, cb, cr are 128 level, ref, mx and my are 0 Motion Vector Prediction:=========================1. the motion vectors of all the neighboring blocks are scaled to compensate for the difference of reference frames scaled_mv=(mv *(256 *(current_reference+1)/(mv.reference+1))+128)> the median of the scaled left
Definition: snow.txt:386
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:548
c2
static const uint64_t c2
Definition: murmur3.c:53
ff_filter_execute
int ff_filter_execute(AVFilterContext *ctx, avfilter_action_func *func, void *arg, int *ret, int nb_jobs)
Definition: avfilter.c:1691
AVFILTER_DEFINE_CLASS_EXT
AVFILTER_DEFINE_CLASS_EXT(common, "kirsch/prewitt/roberts/scharr/sobel", common_options)
AV_PIX_FMT_NONE
@ AV_PIX_FMT_NONE
Definition: pixfmt.h:72
AV_PIX_FMT_YUVA422P12
#define AV_PIX_FMT_YUVA422P12
Definition: pixfmt.h:593
AV_OPT_TYPE_INT
@ AV_OPT_TYPE_INT
Underlying C type is int.
Definition: opt.h:259
avfilter.h
AV_RN16A
#define AV_RN16A(p)
Definition: intreadwrite.h:518
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
Windows::Graphics::DirectX::Direct3D11::p
IDirect3DDxgiInterfaceAccess _COM_Outptr_ void ** p
Definition: vsrc_gfxcapture_winrt.hpp:53
ff_vf_sobel
const FFFilter ff_vf_sobel
av_clip_uint8
#define av_clip_uint8
Definition: common.h:106
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:78
AVFilterContext
An instance of a filter.
Definition: avfilter.h:274
MATRIX_COLUMN
@ MATRIX_COLUMN
Definition: convolution.h:30
AV_PIX_FMT_GBRP
@ AV_PIX_FMT_GBRP
planar GBR 4:4:4 24bpp
Definition: pixfmt.h:165
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:167
av_strdup
char * av_strdup(const char *s)
Duplicate a string.
Definition: mem.c:272
desc
const char * desc
Definition: libsvtav1.c:82
AVMEDIA_TYPE_VIDEO
@ AVMEDIA_TYPE_VIDEO
Definition: avutil.h:200
FFFilter::p
AVFilter p
The public AVFilter.
Definition: filters.h:271
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:77
mem.h
AVPixFmtDescriptor
Descriptor that unambiguously describes how the bits of a pixel are stored in the up to 4 data planes...
Definition: pixdesc.h:69
w
uint8_t w
Definition: llvidencdsp.c:39
ff_convolution_init_x86
void ff_convolution_init_x86(ConvolutionContext *s)
Definition: vf_convolution_init.c:37
ff_sobel_init
static void ff_sobel_init(ConvolutionContext *s, int depth, int nb_planes)
Definition: convolution.h:120
scale
static void scale(int *out, const int *in, const int w, const int h, const int shift)
Definition: intra.c:278
av_freep
#define av_freep(p)
Definition: tableprint_vlc.h:35
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:80
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
AVFormatContext::name
char * name
Name of this format context, only used for logging purposes.
Definition: avformat.h:1889
imgutils.h
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:472
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:79
av_log
#define av_log(a,...)
Definition: tableprint_vlc.h:27
AV_PIX_FMT_YUV440P12
#define AV_PIX_FMT_YUV440P12
Definition: pixfmt.h:545
h
h
Definition: vp9dsp_template.c:2070
AV_PIX_FMT_YUV444P14
#define AV_PIX_FMT_YUV444P14
Definition: pixfmt.h:549
stride
#define stride
Definition: h264pred_template.c:536
avstring.h
AV_OPT_TYPE_STRING
@ AV_OPT_TYPE_STRING
Underlying C type is a uint8_t* that is either NULL or points to a C string allocated with the av_mal...
Definition: opt.h:276
width
#define width
Definition: dsp.h:89
AV_PIX_FMT_GRAY12
#define AV_PIX_FMT_GRAY12
Definition: pixfmt.h:520
AV_OPT_TYPE_CONST
@ AV_OPT_TYPE_CONST
Special option type for declaring named constants.
Definition: opt.h:299
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
ff_vf_convolution
const FFFilter ff_vf_convolution
src
#define src
Definition: vp8dsp.c:248
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:173
AV_PIX_FMT_YUV420P14
#define AV_PIX_FMT_YUV420P14
Definition: pixfmt.h:547
ff_vf_roberts
const FFFilter ff_vf_roberts
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