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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 | #ifndef AVFILTER_CONVOLUTION_H | ||
22 | #define AVFILTER_CONVOLUTION_H | ||
23 | #include "avfilter.h" | ||
24 | #include "libavutil/intreadwrite.h" | ||
25 | |||
26 | enum MatrixMode { | ||
27 | MATRIX_SQUARE, | ||
28 | MATRIX_ROW, | ||
29 | MATRIX_COLUMN, | ||
30 | MATRIX_NBMODES, | ||
31 | }; | ||
32 | |||
33 | typedef struct ConvolutionContext { | ||
34 | const AVClass *class; | ||
35 | |||
36 | char *matrix_str[4]; | ||
37 | float user_rdiv[4]; | ||
38 | float bias[4]; | ||
39 | int mode[4]; | ||
40 | float scale; | ||
41 | float delta; | ||
42 | int planes; | ||
43 | |||
44 | float rdiv[4]; | ||
45 | int size[4]; | ||
46 | int depth; | ||
47 | int max; | ||
48 | int bpc; | ||
49 | int nb_planes; | ||
50 | int nb_threads; | ||
51 | int planewidth[4]; | ||
52 | int planeheight[4]; | ||
53 | int matrix[4][49]; | ||
54 | int matrix_length[4]; | ||
55 | int copy[4]; | ||
56 | |||
57 | void (*setup[4])(int radius, const uint8_t *c[], const uint8_t *src, int stride, | ||
58 | int x, int width, int y, int height, int bpc); | ||
59 | void (*filter[4])(uint8_t *dst, int width, | ||
60 | float rdiv, float bias, const int *const matrix, | ||
61 | const uint8_t *c[], int peak, int radius, | ||
62 | int dstride, int stride, int size); | ||
63 | } ConvolutionContext; | ||
64 | |||
65 | void ff_convolution_init_x86(ConvolutionContext *s); | ||
66 | void ff_sobel_init_x86(ConvolutionContext *s, int depth, int nb_planes); | ||
67 | |||
68 | 512 | static void setup_3x3(int radius, const uint8_t *c[], const uint8_t *src, int stride, | |
69 | int x, int w, int y, int h, int bpc) | ||
70 | { | ||
71 | int i; | ||
72 | |||
73 |
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5120 | for (i = 0; i < 9; i++) { |
74 | 4608 | int xoff = FFABS(x + ((i % 3) - 1)); | |
75 |
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4608 | int yoff = FFABS(y + (i / 3) - 1); |
76 | |||
77 |
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4608 | xoff = xoff >= w ? 2 * w - 1 - xoff : xoff; |
78 |
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4608 | yoff = yoff >= h ? 2 * h - 1 - yoff : yoff; |
79 | |||
80 | 4608 | c[i] = src + xoff * bpc + yoff * stride; | |
81 | } | ||
82 | 512 | } | |
83 | |||
84 | 1024 | static void filter_sobel(uint8_t *dst, int width, | |
85 | float scale, float delta, const int *const matrix, | ||
86 | const uint8_t *c[], int peak, int radius, | ||
87 | int dstride, int stride, int size) | ||
88 | { | ||
89 | 1024 | const uint8_t *c0 = c[0], *c1 = c[1], *c2 = c[2]; | |
90 | 1024 | const uint8_t *c3 = c[3], *c5 = c[5]; | |
91 | 1024 | const uint8_t *c6 = c[6], *c7 = c[7], *c8 = c[8]; | |
92 | int x; | ||
93 | |||
94 |
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523264 | for (x = 0; x < width; x++) { |
95 | 522240 | float suma = c0[x] * -1 + c1[x] * -2 + c2[x] * -1 + | |
96 | 522240 | c6[x] * 1 + c7[x] * 2 + c8[x] * 1; | |
97 | 522240 | float sumb = c0[x] * -1 + c2[x] * 1 + c3[x] * -2 + | |
98 | 522240 | c5[x] * 2 + c6[x] * -1 + c8[x] * 1; | |
99 | |||
100 | 522240 | dst[x] = av_clip_uint8(sqrtf(suma*suma + sumb*sumb) * scale + delta); | |
101 | } | ||
102 | 1024 | } | |
103 | |||
104 | ✗ | static void filter16_sobel(uint8_t *dstp, int width, | |
105 | float scale, float delta, const int *const matrix, | ||
106 | const uint8_t *c[], int peak, int radius, | ||
107 | int dstride, int stride, int size) | ||
108 | { | ||
109 | ✗ | uint16_t *dst = (uint16_t *)dstp; | |
110 | int x; | ||
111 | |||
112 | ✗ | for (x = 0; x < width; x++) { | |
113 | ✗ | float suma = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[1][2 * x]) * -2 + AV_RN16A(&c[2][2 * x]) * -1 + | |
114 | ✗ | AV_RN16A(&c[6][2 * x]) * 1 + AV_RN16A(&c[7][2 * x]) * 2 + AV_RN16A(&c[8][2 * x]) * 1; | |
115 | ✗ | float sumb = AV_RN16A(&c[0][2 * x]) * -1 + AV_RN16A(&c[2][2 * x]) * 1 + AV_RN16A(&c[3][2 * x]) * -2 + | |
116 | ✗ | AV_RN16A(&c[5][2 * x]) * 2 + AV_RN16A(&c[6][2 * x]) * -1 + AV_RN16A(&c[8][2 * x]) * 1; | |
117 | |||
118 | ✗ | dst[x] = av_clip(sqrtf(suma*suma + sumb*sumb) * scale + delta, 0, peak); | |
119 | } | ||
120 | ✗ | } | |
121 | |||
122 | 13 | static inline void ff_sobel_init(ConvolutionContext *s, int depth, int nb_planes) | |
123 | { | ||
124 |
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65 | for (int i = 0; i < 4; i++) { |
125 | 52 | s->filter[i] = filter_sobel; | |
126 | 52 | s->copy[i] = !((1 << i) & s->planes); | |
127 | 52 | s->size[i] = 3; | |
128 | 52 | s->setup[i] = setup_3x3; | |
129 | 52 | s->rdiv[i] = s->scale; | |
130 | 52 | s->bias[i] = s->delta; | |
131 | } | ||
132 |
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13 | if (s->depth > 8) |
133 | ✗ | for (int i = 0; i < 4; i++) | |
134 | ✗ | s->filter[i] = filter16_sobel; | |
135 | #if ARCH_X86_64 | ||
136 | 13 | ff_sobel_init_x86(s, depth, nb_planes); | |
137 | #endif | ||
138 | 13 | } | |
139 | #endif | ||
140 |