Signed-off-by: Paul B Mahol <onemda@gmail.com>
Paul B Mahol authored on 2016/09/01 08:18:45... | ... |
@@ -8251,6 +8251,23 @@ option may cause flicker since the B-Frames have often larger QP. Default is |
8251 | 8251 |
|
8252 | 8252 |
@end table |
8253 | 8253 |
|
8254 |
+@section gblur |
|
8255 |
+ |
|
8256 |
+Apply Gaussian blur filter. |
|
8257 |
+ |
|
8258 |
+The filter accepts the following options: |
|
8259 |
+ |
|
8260 |
+@table @option |
|
8261 |
+@item sigma |
|
8262 |
+Set sigma, standard deviation of Gaussian blur. Default is @code{0.5}. |
|
8263 |
+ |
|
8264 |
+@item steps |
|
8265 |
+Set number of steps for Gaussian approximation. Defauls is @code{1}. |
|
8266 |
+ |
|
8267 |
+@item planes |
|
8268 |
+Set which planes to filter. By default all planes are filtered. |
|
8269 |
+@end table |
|
8270 |
+ |
|
8254 | 8271 |
@section geq |
8255 | 8272 |
|
8256 | 8273 |
The filter accepts the following options: |
... | ... |
@@ -182,6 +182,7 @@ OBJS-$(CONFIG_FRAMERATE_FILTER) += vf_framerate.o |
182 | 182 |
OBJS-$(CONFIG_FRAMESTEP_FILTER) += vf_framestep.o |
183 | 183 |
OBJS-$(CONFIG_FREI0R_FILTER) += vf_frei0r.o |
184 | 184 |
OBJS-$(CONFIG_FSPP_FILTER) += vf_fspp.o |
185 |
+OBJS-$(CONFIG_GBLUR_FILTER) += vf_gblur.o |
|
185 | 186 |
OBJS-$(CONFIG_GEQ_FILTER) += vf_geq.o |
186 | 187 |
OBJS-$(CONFIG_GRADFUN_FILTER) += vf_gradfun.o |
187 | 188 |
OBJS-$(CONFIG_HALDCLUT_FILTER) += vf_lut3d.o dualinput.o framesync.o |
... | ... |
@@ -199,6 +199,7 @@ void avfilter_register_all(void) |
199 | 199 |
REGISTER_FILTER(FRAMESTEP, framestep, vf); |
200 | 200 |
REGISTER_FILTER(FREI0R, frei0r, vf); |
201 | 201 |
REGISTER_FILTER(FSPP, fspp, vf); |
202 |
+ REGISTER_FILTER(GBLUR, gblur, vf); |
|
202 | 203 |
REGISTER_FILTER(GEQ, geq, vf); |
203 | 204 |
REGISTER_FILTER(GRADFUN, gradfun, vf); |
204 | 205 |
REGISTER_FILTER(HALDCLUT, haldclut, vf); |
... | ... |
@@ -30,7 +30,7 @@ |
30 | 30 |
#include "libavutil/version.h" |
31 | 31 |
|
32 | 32 |
#define LIBAVFILTER_VERSION_MAJOR 6 |
33 |
-#define LIBAVFILTER_VERSION_MINOR 59 |
|
33 |
+#define LIBAVFILTER_VERSION_MINOR 60 |
|
34 | 34 |
#define LIBAVFILTER_VERSION_MICRO 100 |
35 | 35 |
|
36 | 36 |
#define LIBAVFILTER_VERSION_INT AV_VERSION_INT(LIBAVFILTER_VERSION_MAJOR, \ |
37 | 37 |
new file mode 100644 |
... | ... |
@@ -0,0 +1,352 @@ |
0 |
+/* |
|
1 |
+ * Copyright (c) 2011 Pascal Getreuer |
|
2 |
+ * Copyright (c) 2016 Paul B Mahol |
|
3 |
+ * |
|
4 |
+ * Redistribution and use in source and binary forms, with or without modification, |
|
5 |
+ * are permitted provided that the following conditions are met: |
|
6 |
+ * |
|
7 |
+ * * Redistributions of source code must retain the above copyright |
|
8 |
+ * notice, this list of conditions and the following disclaimer. |
|
9 |
+ * * Redistributions in binary form must reproduce the above |
|
10 |
+ * copyright notice, this list of conditions and the following |
|
11 |
+ * disclaimer in the documentation and/or other materials provided |
|
12 |
+ * with the distribution. |
|
13 |
+ * |
|
14 |
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
|
15 |
+ * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
|
16 |
+ * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
|
17 |
+ * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT |
|
18 |
+ * HOLDER BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, |
|
19 |
+ * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, |
|
20 |
+ * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR |
|
21 |
+ * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF |
|
22 |
+ * LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING |
|
23 |
+ * NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS |
|
24 |
+ * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
|
25 |
+ */ |
|
26 |
+ |
|
27 |
+#include "libavutil/imgutils.h" |
|
28 |
+#include "libavutil/opt.h" |
|
29 |
+#include "libavutil/pixdesc.h" |
|
30 |
+#include "avfilter.h" |
|
31 |
+#include "formats.h" |
|
32 |
+#include "internal.h" |
|
33 |
+#include "video.h" |
|
34 |
+ |
|
35 |
+typedef struct GBlurContext { |
|
36 |
+ const AVClass *class; |
|
37 |
+ |
|
38 |
+ float sigma; |
|
39 |
+ int steps; |
|
40 |
+ int planes; |
|
41 |
+ |
|
42 |
+ int depth; |
|
43 |
+ int planewidth[4]; |
|
44 |
+ int planeheight[4]; |
|
45 |
+ float *buffer; |
|
46 |
+ float boundaryscale; |
|
47 |
+ float postscale; |
|
48 |
+ float nu; |
|
49 |
+ int nb_planes; |
|
50 |
+} GBlurContext; |
|
51 |
+ |
|
52 |
+#define OFFSET(x) offsetof(GBlurContext, x) |
|
53 |
+#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM |
|
54 |
+ |
|
55 |
+static const AVOption gblur_options[] = { |
|
56 |
+ { "sigma", "set sigma", OFFSET(sigma), AV_OPT_TYPE_FLOAT, {.dbl=0.5}, 0.0, 1024, FLAGS }, |
|
57 |
+ { "steps", "set number of steps", OFFSET(steps), AV_OPT_TYPE_INT, {.i64=1}, 1, 6, FLAGS }, |
|
58 |
+ { "planes", "set planes to filter", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=0xF}, 0, 0xF, FLAGS }, |
|
59 |
+ { NULL } |
|
60 |
+}; |
|
61 |
+ |
|
62 |
+AVFILTER_DEFINE_CLASS(gblur); |
|
63 |
+ |
|
64 |
+typedef struct ThreadData { |
|
65 |
+ int height; |
|
66 |
+ int width; |
|
67 |
+} ThreadData; |
|
68 |
+ |
|
69 |
+static int filter_horizontally(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs) |
|
70 |
+{ |
|
71 |
+ GBlurContext *s = ctx->priv; |
|
72 |
+ ThreadData *td = arg; |
|
73 |
+ const int height = td->height; |
|
74 |
+ const int width = td->width; |
|
75 |
+ const int slice_start = (height * jobnr ) / nb_jobs; |
|
76 |
+ const int slice_end = (height * (jobnr+1)) / nb_jobs; |
|
77 |
+ const float boundaryscale = s->boundaryscale; |
|
78 |
+ const int steps = s->steps; |
|
79 |
+ const float nu = s->nu; |
|
80 |
+ float *buffer = s->buffer; |
|
81 |
+ int y, x, step; |
|
82 |
+ float *ptr; |
|
83 |
+ |
|
84 |
+ /* Filter horizontally along each row */ |
|
85 |
+ for (y = slice_start; y < slice_end; y++) { |
|
86 |
+ for (step = 0; step < steps; step++) { |
|
87 |
+ ptr = buffer + width * y; |
|
88 |
+ ptr[0] *= boundaryscale; |
|
89 |
+ |
|
90 |
+ /* Filter rightwards */ |
|
91 |
+ for (x = 1; x < width; x++) |
|
92 |
+ ptr[x] += nu * ptr[x - 1]; |
|
93 |
+ |
|
94 |
+ ptr[x = width - 1] *= boundaryscale; |
|
95 |
+ |
|
96 |
+ /* Filter leftwards */ |
|
97 |
+ for (; x > 0; x--) |
|
98 |
+ ptr[x - 1] += nu * ptr[x]; |
|
99 |
+ } |
|
100 |
+ } |
|
101 |
+ |
|
102 |
+ return 0; |
|
103 |
+} |
|
104 |
+ |
|
105 |
+static int filter_vertically(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs) |
|
106 |
+{ |
|
107 |
+ GBlurContext *s = ctx->priv; |
|
108 |
+ ThreadData *td = arg; |
|
109 |
+ const int height = td->height; |
|
110 |
+ const int width = td->width; |
|
111 |
+ const int slice_start = (width * jobnr ) / nb_jobs; |
|
112 |
+ const int slice_end = (width * (jobnr+1)) / nb_jobs; |
|
113 |
+ const float boundaryscale = s->boundaryscale; |
|
114 |
+ const int numpixels = width * height; |
|
115 |
+ const int steps = s->steps; |
|
116 |
+ const float nu = s->nu; |
|
117 |
+ float *buffer = s->buffer; |
|
118 |
+ int i, x, step; |
|
119 |
+ float *ptr; |
|
120 |
+ |
|
121 |
+ /* Filter vertically along each column */ |
|
122 |
+ for (x = slice_start; x < slice_end; x++) { |
|
123 |
+ for (step = 0; step < steps; step++) { |
|
124 |
+ ptr = buffer + x; |
|
125 |
+ ptr[0] *= boundaryscale; |
|
126 |
+ |
|
127 |
+ /* Filter downwards */ |
|
128 |
+ for (i = width; i < numpixels; i += width) |
|
129 |
+ ptr[i] += nu * ptr[i - width]; |
|
130 |
+ |
|
131 |
+ ptr[i = numpixels - width] *= boundaryscale; |
|
132 |
+ |
|
133 |
+ /* Filter upwards */ |
|
134 |
+ for (; i > 0; i -= width) |
|
135 |
+ ptr[i - width] += nu * ptr[i]; |
|
136 |
+ } |
|
137 |
+ } |
|
138 |
+ |
|
139 |
+ return 0; |
|
140 |
+} |
|
141 |
+ |
|
142 |
+ |
|
143 |
+static int filter_postscale(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs) |
|
144 |
+{ |
|
145 |
+ GBlurContext *s = ctx->priv; |
|
146 |
+ ThreadData *td = arg; |
|
147 |
+ const int height = td->height; |
|
148 |
+ const int width = td->width; |
|
149 |
+ const int64_t numpixels = width * height; |
|
150 |
+ const int slice_start = (numpixels * jobnr ) / nb_jobs; |
|
151 |
+ const int slice_end = (numpixels * (jobnr+1)) / nb_jobs; |
|
152 |
+ const float postscale = s->postscale; |
|
153 |
+ float *buffer = s->buffer; |
|
154 |
+ int i; |
|
155 |
+ |
|
156 |
+ for (i = slice_start; i < slice_end; i++) |
|
157 |
+ buffer[i] *= postscale; |
|
158 |
+ |
|
159 |
+ return 0; |
|
160 |
+} |
|
161 |
+ |
|
162 |
+static void gaussianiir2d(AVFilterContext *ctx, int plane) |
|
163 |
+{ |
|
164 |
+ GBlurContext *s = ctx->priv; |
|
165 |
+ const int width = s->planewidth[plane]; |
|
166 |
+ const int height = s->planeheight[plane]; |
|
167 |
+ const int nb_threads = ff_filter_get_nb_threads(ctx); |
|
168 |
+ ThreadData td; |
|
169 |
+ |
|
170 |
+ if (s->sigma <= 0 || s->steps < 0) |
|
171 |
+ return; |
|
172 |
+ |
|
173 |
+ td.width = width; |
|
174 |
+ td.height = height; |
|
175 |
+ ctx->internal->execute(ctx, filter_horizontally, &td, NULL, FFMIN(height, nb_threads)); |
|
176 |
+ ctx->internal->execute(ctx, filter_vertically, &td, NULL, FFMIN(width, nb_threads)); |
|
177 |
+ ctx->internal->execute(ctx, filter_postscale, &td, NULL, FFMIN(width * height, nb_threads)); |
|
178 |
+} |
|
179 |
+ |
|
180 |
+static int query_formats(AVFilterContext *ctx) |
|
181 |
+{ |
|
182 |
+ static const enum AVPixelFormat pix_fmts[] = { |
|
183 |
+ AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P, |
|
184 |
+ AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P, |
|
185 |
+ AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P, |
|
186 |
+ AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P, |
|
187 |
+ AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P, |
|
188 |
+ AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9, |
|
189 |
+ AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10, |
|
190 |
+ AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12, |
|
191 |
+ AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14, |
|
192 |
+ AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16, |
|
193 |
+ AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9, |
|
194 |
+ AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10, |
|
195 |
+ AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16, |
|
196 |
+ AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10, |
|
197 |
+ AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16, |
|
198 |
+ AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16, |
|
199 |
+ AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY16, |
|
200 |
+ AV_PIX_FMT_NONE |
|
201 |
+ }; |
|
202 |
+ |
|
203 |
+ return ff_set_common_formats(ctx, ff_make_format_list(pix_fmts)); |
|
204 |
+} |
|
205 |
+ |
|
206 |
+static int config_input(AVFilterLink *inlink) |
|
207 |
+{ |
|
208 |
+ const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format); |
|
209 |
+ GBlurContext *s = inlink->dst->priv; |
|
210 |
+ |
|
211 |
+ s->depth = desc->comp[0].depth; |
|
212 |
+ s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w); |
|
213 |
+ s->planewidth[0] = s->planewidth[3] = inlink->w; |
|
214 |
+ s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h); |
|
215 |
+ s->planeheight[0] = s->planeheight[3] = inlink->h; |
|
216 |
+ |
|
217 |
+ s->nb_planes = av_pix_fmt_count_planes(inlink->format); |
|
218 |
+ |
|
219 |
+ s->buffer = av_malloc_array(inlink->w, inlink->h * sizeof(*s->buffer)); |
|
220 |
+ if (!s->buffer) |
|
221 |
+ return AVERROR(ENOMEM); |
|
222 |
+ return 0; |
|
223 |
+} |
|
224 |
+ |
|
225 |
+static int filter_frame(AVFilterLink *inlink, AVFrame *in) |
|
226 |
+{ |
|
227 |
+ AVFilterContext *ctx = inlink->dst; |
|
228 |
+ GBlurContext *s = ctx->priv; |
|
229 |
+ AVFilterLink *outlink = ctx->outputs[0]; |
|
230 |
+ double dnu, lambda; |
|
231 |
+ float sigma = s->sigma; |
|
232 |
+ int steps = s->steps; |
|
233 |
+ AVFrame *out; |
|
234 |
+ int plane; |
|
235 |
+ |
|
236 |
+ lambda = (sigma * sigma) / (2.0 * steps); |
|
237 |
+ dnu = (1.0 + 2.0 * lambda - sqrt(1.0 + 4.0 * lambda)) / (2.0 * lambda); |
|
238 |
+ s->postscale = pow(dnu / lambda, 2 * steps); |
|
239 |
+ s->boundaryscale = 1.0 / (1.0 - dnu); |
|
240 |
+ s->nu = (float)dnu; |
|
241 |
+ |
|
242 |
+ if (av_frame_is_writable(in)) { |
|
243 |
+ out = in; |
|
244 |
+ } else { |
|
245 |
+ out = ff_get_video_buffer(outlink, outlink->w, outlink->h); |
|
246 |
+ if (!out) { |
|
247 |
+ av_frame_free(&in); |
|
248 |
+ return AVERROR(ENOMEM); |
|
249 |
+ } |
|
250 |
+ av_frame_copy_props(out, in); |
|
251 |
+ } |
|
252 |
+ |
|
253 |
+ for (plane = 0; plane < s->nb_planes; plane++) { |
|
254 |
+ const int height = s->planeheight[plane]; |
|
255 |
+ const int width = s->planewidth[plane]; |
|
256 |
+ float *bptr = s->buffer; |
|
257 |
+ const uint8_t *src = in->data[plane]; |
|
258 |
+ const uint16_t *src16 = (const uint16_t *)in->data[plane]; |
|
259 |
+ uint8_t *dst = out->data[plane]; |
|
260 |
+ uint16_t *dst16 = (uint16_t *)out->data[plane]; |
|
261 |
+ int y, x; |
|
262 |
+ |
|
263 |
+ if (!s->sigma || !(s->planes & (1 << plane))) { |
|
264 |
+ if (out != in) |
|
265 |
+ av_image_copy_plane(out->data[plane], out->linesize[plane], |
|
266 |
+ in->data[plane], in->linesize[plane], |
|
267 |
+ width * ((s->depth + 7) / 8), height); |
|
268 |
+ continue; |
|
269 |
+ } |
|
270 |
+ |
|
271 |
+ if (s->depth == 8) { |
|
272 |
+ for (y = 0; y < height; y++) { |
|
273 |
+ for (x = 0; x < width; x++) { |
|
274 |
+ bptr[x] = src[x]; |
|
275 |
+ } |
|
276 |
+ bptr += width; |
|
277 |
+ src += in->linesize[plane]; |
|
278 |
+ } |
|
279 |
+ } else { |
|
280 |
+ for (y = 0; y < height; y++) { |
|
281 |
+ for (x = 0; x < width; x++) { |
|
282 |
+ bptr[x] = src16[x]; |
|
283 |
+ } |
|
284 |
+ bptr += width; |
|
285 |
+ src16 += in->linesize[plane] / 2; |
|
286 |
+ } |
|
287 |
+ } |
|
288 |
+ |
|
289 |
+ gaussianiir2d(ctx, plane); |
|
290 |
+ |
|
291 |
+ bptr = s->buffer; |
|
292 |
+ if (s->depth == 8) { |
|
293 |
+ for (y = 0; y < height; y++) { |
|
294 |
+ for (x = 0; x < width; x++) { |
|
295 |
+ dst[x] = bptr[x]; |
|
296 |
+ } |
|
297 |
+ bptr += width; |
|
298 |
+ dst += out->linesize[plane]; |
|
299 |
+ } |
|
300 |
+ } else { |
|
301 |
+ for (y = 0; y < height; y++) { |
|
302 |
+ for (x = 0; x < width; x++) { |
|
303 |
+ dst16[x] = bptr[x]; |
|
304 |
+ } |
|
305 |
+ bptr += width; |
|
306 |
+ dst16 += out->linesize[plane] / 2; |
|
307 |
+ } |
|
308 |
+ } |
|
309 |
+ } |
|
310 |
+ |
|
311 |
+ if (out != in) |
|
312 |
+ av_frame_free(&in); |
|
313 |
+ return ff_filter_frame(outlink, out); |
|
314 |
+} |
|
315 |
+ |
|
316 |
+static av_cold void uninit(AVFilterContext *ctx) |
|
317 |
+{ |
|
318 |
+ GBlurContext *s = ctx->priv; |
|
319 |
+ |
|
320 |
+ av_freep(&s->buffer); |
|
321 |
+} |
|
322 |
+ |
|
323 |
+static const AVFilterPad gblur_inputs[] = { |
|
324 |
+ { |
|
325 |
+ .name = "default", |
|
326 |
+ .type = AVMEDIA_TYPE_VIDEO, |
|
327 |
+ .config_props = config_input, |
|
328 |
+ .filter_frame = filter_frame, |
|
329 |
+ }, |
|
330 |
+ { NULL } |
|
331 |
+}; |
|
332 |
+ |
|
333 |
+static const AVFilterPad gblur_outputs[] = { |
|
334 |
+ { |
|
335 |
+ .name = "default", |
|
336 |
+ .type = AVMEDIA_TYPE_VIDEO, |
|
337 |
+ }, |
|
338 |
+ { NULL } |
|
339 |
+}; |
|
340 |
+ |
|
341 |
+AVFilter ff_vf_gblur = { |
|
342 |
+ .name = "gblur", |
|
343 |
+ .description = NULL_IF_CONFIG_SMALL("Apply Gaussian Blur filter."), |
|
344 |
+ .priv_size = sizeof(GBlurContext), |
|
345 |
+ .priv_class = &gblur_class, |
|
346 |
+ .uninit = uninit, |
|
347 |
+ .query_formats = query_formats, |
|
348 |
+ .inputs = gblur_inputs, |
|
349 |
+ .outputs = gblur_outputs, |
|
350 |
+ .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC | AVFILTER_FLAG_SLICE_THREADS, |
|
351 |
+}; |