FFmpeg coverage

Line	Branch	Exec	Source
1			/*
2			* Copyright (c) 2017 Paul B Mahol
3			*
4			* This file is part of FFmpeg.
5			*
6			* FFmpeg is free software; you can redistribute it and/or
7			* modify it under the terms of the GNU Lesser General Public
8			* License as published by the Free Software Foundation; either
9			* version 2.1 of the License, or (at your option) any later version.
10			*
11			* FFmpeg is distributed in the hope that it will be useful,
12			* but WITHOUT ANY WARRANTY; without even the implied warranty of
13			* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14			* Lesser General Public License for more details.
15			*
16			* You should have received a copy of the GNU Lesser General Public
17			* License along with FFmpeg; if not, write to the Free Software
18			* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
19			*/
20
21			#include "config_components.h"
22
23			#include <float.h>
24
25			#include "libavutil/mem.h"
26			#include "libavutil/opt.h"
27			#include "libavutil/pixdesc.h"
28			#include "libavutil/tx.h"
29
30			#include "avfilter.h"
31			#include "filters.h"
32			#include "framesync.h"
33
34			#define MAX_THREADS 16
35
36			typedef struct ConvolveContext {
37			const AVClass *class;
38			FFFrameSync fs;
39
40			AVTXContext *fft[4][MAX_THREADS];
41			AVTXContext *ifft[4][MAX_THREADS];
42
43			av_tx_fn tx_fn[4];
44			av_tx_fn itx_fn[4];
45
46			int fft_len[4];
47			int planewidth[4];
48			int planeheight[4];
49
50			int primarywidth[4];
51			int primaryheight[4];
52
53			int secondarywidth[4];
54			int secondaryheight[4];
55
56			AVComplexFloat *fft_hdata_in[4];
57			AVComplexFloat *fft_vdata_in[4];
58			AVComplexFloat *fft_hdata_out[4];
59			AVComplexFloat *fft_vdata_out[4];
60			AVComplexFloat *fft_hdata_impulse_in[4];
61			AVComplexFloat *fft_vdata_impulse_in[4];
62			AVComplexFloat *fft_hdata_impulse_out[4];
63			AVComplexFloat *fft_vdata_impulse_out[4];
64
65			int depth;
66			int planes;
67			int impulse;
68			float noise;
69			int nb_planes;
70			int got_impulse[4];
71
72			void (*get_input)(struct ConvolveContext *s, AVComplexFloat *fft_hdata,
73			AVFrame *in, int w, int h, int n, int plane, float scale);
74
75			void (*get_output)(struct ConvolveContext *s, AVComplexFloat *input, AVFrame *out,
76			int w, int h, int n, int plane, float scale);
77			void (*prepare_impulse)(AVFilterContext *ctx, AVFrame *impulsepic, int plane);
78
79			int (*filter)(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs);
80			} ConvolveContext;
81
82			#define OFFSET(x) offsetof(ConvolveContext, x)
83			#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
84
85			static const AVOption convolve_options[] = {
86			{ "planes", "set planes to convolve", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=7}, 0, 15, FLAGS },
87			{ "impulse", "when to process impulses", OFFSET(impulse), AV_OPT_TYPE_INT, {.i64=1}, 0, 1, FLAGS, .unit = "impulse" },
88			{ "first", "process only first impulse, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, .unit = "impulse" },
89			{ "all", "process all impulses", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, .unit = "impulse" },
90			{ "noise", "set noise", OFFSET(noise), AV_OPT_TYPE_FLOAT, {.dbl=0.0000001}, 0, 1, FLAGS },
91			{ NULL },
92			};
93
94			static const enum AVPixelFormat pixel_fmts_fftfilt[] = {
95			AV_PIX_FMT_YUVA444P, AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV440P,
96			AV_PIX_FMT_YUVJ444P, AV_PIX_FMT_YUVJ440P,
97			AV_PIX_FMT_YUVA422P, AV_PIX_FMT_YUV422P, AV_PIX_FMT_YUVA420P, AV_PIX_FMT_YUV420P,
98			AV_PIX_FMT_YUVJ422P, AV_PIX_FMT_YUVJ420P,
99			AV_PIX_FMT_YUVJ411P, AV_PIX_FMT_YUV411P, AV_PIX_FMT_YUV410P,
100			AV_PIX_FMT_YUV420P9, AV_PIX_FMT_YUV422P9, AV_PIX_FMT_YUV444P9,
101			AV_PIX_FMT_YUV420P10, AV_PIX_FMT_YUV422P10, AV_PIX_FMT_YUV444P10,
102			AV_PIX_FMT_YUV420P12, AV_PIX_FMT_YUV422P12, AV_PIX_FMT_YUV444P12, AV_PIX_FMT_YUV440P12,
103			AV_PIX_FMT_YUV420P14, AV_PIX_FMT_YUV422P14, AV_PIX_FMT_YUV444P14,
104			AV_PIX_FMT_YUV420P16, AV_PIX_FMT_YUV422P16, AV_PIX_FMT_YUV444P16,
105			AV_PIX_FMT_YUVA420P9, AV_PIX_FMT_YUVA422P9, AV_PIX_FMT_YUVA444P9,
106			AV_PIX_FMT_YUVA420P10, AV_PIX_FMT_YUVA422P10, AV_PIX_FMT_YUVA444P10,
107			AV_PIX_FMT_YUVA420P16, AV_PIX_FMT_YUVA422P16, AV_PIX_FMT_YUVA444P16,
108			AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
109			AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
110			AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
111			AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAY9, AV_PIX_FMT_GRAY10, AV_PIX_FMT_GRAY12, AV_PIX_FMT_GRAY14, AV_PIX_FMT_GRAY16,
112			AV_PIX_FMT_NONE
113			};
114
115		✗	static int config_input(AVFilterLink *inlink)
116			{
117		✗	ConvolveContext *s = inlink->dst->priv;
118		✗	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
119		✗	const int w = inlink->w;
120		✗	const int h = inlink->h;
121
122		✗	s->planewidth[1] = s->planewidth[2] = AV_CEIL_RSHIFT(w, desc->log2_chroma_w);
123		✗	s->planewidth[0] = s->planewidth[3] = w;
124		✗	s->planeheight[1] = s->planeheight[2] = AV_CEIL_RSHIFT(h, desc->log2_chroma_h);
125		✗	s->planeheight[0] = s->planeheight[3] = h;
126
127		✗	s->nb_planes = desc->nb_components;
128		✗	s->depth = desc->comp[0].depth;
129
130		✗	for (int i = 0; i < s->nb_planes; i++) {
131		✗	int w = s->planewidth[i];
132		✗	int h = s->planeheight[i];
133		✗	int n = FFMAX(w, h);
134
135		✗	s->fft_len[i] = 1 << (av_log2(2 * n - 1));
136
137		✗	if (!(s->fft_hdata_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
138		✗	return AVERROR(ENOMEM);
139
140		✗	if (!(s->fft_hdata_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
141		✗	return AVERROR(ENOMEM);
142
143		✗	if (!(s->fft_vdata_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
144		✗	return AVERROR(ENOMEM);
145
146		✗	if (!(s->fft_vdata_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
147		✗	return AVERROR(ENOMEM);
148
149		✗	if (!(s->fft_hdata_impulse_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
150		✗	return AVERROR(ENOMEM);
151
152		✗	if (!(s->fft_vdata_impulse_in[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
153		✗	return AVERROR(ENOMEM);
154
155		✗	if (!(s->fft_hdata_impulse_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
156		✗	return AVERROR(ENOMEM);
157
158		✗	if (!(s->fft_vdata_impulse_out[i] = av_calloc(s->fft_len[i], s->fft_len[i] * sizeof(AVComplexFloat))))
159		✗	return AVERROR(ENOMEM);
160			}
161
162		✗	return 0;
163			}
164
165		✗	static int config_input_impulse(AVFilterLink *inlink)
166			{
167		✗	AVFilterContext *ctx = inlink->dst;
168
169		✗	if (ctx->inputs[0]->w != ctx->inputs[1]->w ||
170		✗	ctx->inputs[0]->h != ctx->inputs[1]->h) {
171		✗	av_log(ctx, AV_LOG_ERROR, "Width and height of input videos must be same.\n");
172		✗	return AVERROR(EINVAL);
173			}
174
175		✗	return 0;
176			}
177
178			typedef struct ThreadData {
179			AVComplexFloat *hdata_in, *vdata_in;
180			AVComplexFloat *hdata_out, *vdata_out;
181			int plane, n;
182			} ThreadData;
183
184		✗	static int fft_horizontal(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
185			{
186		✗	ConvolveContext *s = ctx->priv;
187		✗	ThreadData *td = arg;
188		✗	AVComplexFloat *hdata_in = td->hdata_in;
189		✗	AVComplexFloat *hdata_out = td->hdata_out;
190		✗	const int plane = td->plane;
191		✗	const int n = td->n;
192		✗	int start = (n * jobnr) / nb_jobs;
193		✗	int end = (n * (jobnr+1)) / nb_jobs;
194			int y;
195
196		✗	for (y = start; y < end; y++) {
197		✗	s->tx_fn[plane](s->fft[plane][jobnr], hdata_out + y * n, hdata_in + y * n, sizeof(AVComplexFloat));
198			}
199
200		✗	return 0;
201			}
202
203			#define SQR(x) ((x) * (x))
204
205		✗	static void get_zeropadded_input(ConvolveContext *s,
206			AVComplexFloat *fft_hdata,
207			AVFrame *in, int w, int h,
208			int n, int plane, float scale)
209			{
210		✗	float sum = 0.f;
211			float mean, dev;
212			int y, x;
213
214		✗	if (s->depth == 8) {
215		✗	for (y = 0; y < h; y++) {
216		✗	const uint8_t *src = in->data[plane] + in->linesize[plane] * y;
217
218		✗	for (x = 0; x < w; x++)
219		✗	sum += src[x];
220			}
221
222		✗	mean = sum / (w * h);
223		✗	sum = 0.f;
224		✗	for (y = 0; y < h; y++) {
225		✗	const uint8_t *src = in->data[plane] + in->linesize[plane] * y;
226
227		✗	for (x = 0; x < w; x++)
228		✗	sum += SQR(src[x] - mean);
229			}
230
231		✗	dev = sqrtf(sum / (w * h));
232		✗	scale /= dev;
233		✗	for (y = 0; y < h; y++) {
234		✗	const uint8_t *src = in->data[plane] + in->linesize[plane] * y;
235
236		✗	for (x = 0; x < w; x++) {
237		✗	fft_hdata[y * n + x].re = (src[x] - mean) * scale;
238		✗	fft_hdata[y * n + x].im = 0;
239			}
240
241		✗	for (x = w; x < n; x++) {
242		✗	fft_hdata[y * n + x].re = 0;
243		✗	fft_hdata[y * n + x].im = 0;
244			}
245			}
246
247		✗	for (y = h; y < n; y++) {
248		✗	for (x = 0; x < n; x++) {
249		✗	fft_hdata[y * n + x].re = 0;
250		✗	fft_hdata[y * n + x].im = 0;
251			}
252			}
253			} else {
254		✗	for (y = 0; y < h; y++) {
255		✗	const uint16_t *src = (const uint16_t *)(in->data[plane] + in->linesize[plane] * y);
256
257		✗	for (x = 0; x < w; x++)
258		✗	sum += src[x];
259			}
260
261		✗	mean = sum / (w * h);
262		✗	sum = 0.f;
263		✗	for (y = 0; y < h; y++) {
264		✗	const uint16_t *src = (const uint16_t *)(in->data[plane] + in->linesize[plane] * y);
265
266		✗	for (x = 0; x < w; x++)
267		✗	sum += SQR(src[x] - mean);
268			}
269
270		✗	dev = sqrtf(sum / (w * h));
271		✗	scale /= dev;
272		✗	for (y = 0; y < h; y++) {
273		✗	const uint16_t *src = (const uint16_t *)(in->data[plane] + in->linesize[plane] * y);
274
275		✗	for (x = 0; x < w; x++) {
276		✗	fft_hdata[y * n + x].re = (src[x] - mean) * scale;
277		✗	fft_hdata[y * n + x].im = 0;
278			}
279
280		✗	for (x = w; x < n; x++) {
281		✗	fft_hdata[y * n + x].re = 0;
282		✗	fft_hdata[y * n + x].im = 0;
283			}
284			}
285
286		✗	for (y = h; y < n; y++) {
287		✗	for (x = 0; x < n; x++) {
288		✗	fft_hdata[y * n + x].re = 0;
289		✗	fft_hdata[y * n + x].im = 0;
290			}
291			}
292			}
293		✗	}
294
295		✗	static void get_input(ConvolveContext *s, AVComplexFloat *fft_hdata,
296			AVFrame *in, int w, int h, int n, int plane, float scale)
297			{
298		✗	const int iw = (n - w) / 2, ih = (n - h) / 2;
299			int y, x;
300
301		✗	if (s->depth == 8) {
302		✗	for (y = 0; y < h; y++) {
303		✗	const uint8_t *src = in->data[plane] + in->linesize[plane] * y;
304
305		✗	for (x = 0; x < w; x++) {
306		✗	fft_hdata[(y + ih) * n + iw + x].re = src[x] * scale;
307		✗	fft_hdata[(y + ih) * n + iw + x].im = 0;
308			}
309
310		✗	for (x = 0; x < iw; x++) {
311		✗	fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + iw].re;
312		✗	fft_hdata[(y + ih) * n + x].im = 0;
313			}
314
315		✗	for (x = n - iw; x < n; x++) {
316		✗	fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + n - iw - 1].re;
317		✗	fft_hdata[(y + ih) * n + x].im = 0;
318			}
319			}
320
321		✗	for (y = 0; y < ih; y++) {
322		✗	for (x = 0; x < n; x++) {
323		✗	fft_hdata[y * n + x].re = fft_hdata[ih * n + x].re;
324		✗	fft_hdata[y * n + x].im = 0;
325			}
326			}
327
328		✗	for (y = n - ih; y < n; y++) {
329		✗	for (x = 0; x < n; x++) {
330		✗	fft_hdata[y * n + x].re = fft_hdata[(n - ih - 1) * n + x].re;
331		✗	fft_hdata[y * n + x].im = 0;
332			}
333			}
334			} else {
335		✗	for (y = 0; y < h; y++) {
336		✗	const uint16_t *src = (const uint16_t *)(in->data[plane] + in->linesize[plane] * y);
337
338		✗	for (x = 0; x < w; x++) {
339		✗	fft_hdata[(y + ih) * n + iw + x].re = src[x] * scale;
340		✗	fft_hdata[(y + ih) * n + iw + x].im = 0;
341			}
342
343		✗	for (x = 0; x < iw; x++) {
344		✗	fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + iw].re;
345		✗	fft_hdata[(y + ih) * n + x].im = 0;
346			}
347
348		✗	for (x = n - iw; x < n; x++) {
349		✗	fft_hdata[(y + ih) * n + x].re = fft_hdata[(y + ih) * n + n - iw - 1].re;
350		✗	fft_hdata[(y + ih) * n + x].im = 0;
351			}
352			}
353
354		✗	for (y = 0; y < ih; y++) {
355		✗	for (x = 0; x < n; x++) {
356		✗	fft_hdata[y * n + x].re = fft_hdata[ih * n + x].re;
357		✗	fft_hdata[y * n + x].im = 0;
358			}
359			}
360
361		✗	for (y = n - ih; y < n; y++) {
362		✗	for (x = 0; x < n; x++) {
363		✗	fft_hdata[y * n + x].re = fft_hdata[(n - ih - 1) * n + x].re;
364		✗	fft_hdata[y * n + x].im = 0;
365			}
366			}
367			}
368		✗	}
369
370		✗	static int fft_vertical(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
371			{
372		✗	ConvolveContext *s = ctx->priv;
373		✗	ThreadData *td = arg;
374		✗	AVComplexFloat *hdata = td->hdata_out;
375		✗	AVComplexFloat *vdata_in = td->vdata_in;
376		✗	AVComplexFloat *vdata_out = td->vdata_out;
377		✗	const int plane = td->plane;
378		✗	const int n = td->n;
379		✗	int start = (n * jobnr) / nb_jobs;
380		✗	int end = (n * (jobnr+1)) / nb_jobs;
381			int y, x;
382
383		✗	for (y = start; y < end; y++) {
384		✗	for (x = 0; x < n; x++) {
385		✗	vdata_in[y * n + x].re = hdata[x * n + y].re;
386		✗	vdata_in[y * n + x].im = hdata[x * n + y].im;
387			}
388
389		✗	s->tx_fn[plane](s->fft[plane][jobnr], vdata_out + y * n, vdata_in + y * n, sizeof(AVComplexFloat));
390			}
391
392		✗	return 0;
393			}
394
395		✗	static int ifft_vertical(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
396			{
397		✗	ConvolveContext *s = ctx->priv;
398		✗	ThreadData *td = arg;
399		✗	AVComplexFloat *hdata = td->hdata_out;
400		✗	AVComplexFloat *vdata_out = td->vdata_out;
401		✗	AVComplexFloat *vdata_in = td->vdata_in;
402		✗	const int plane = td->plane;
403		✗	const int n = td->n;
404		✗	int start = (n * jobnr) / nb_jobs;
405		✗	int end = (n * (jobnr+1)) / nb_jobs;
406			int y, x;
407
408		✗	for (y = start; y < end; y++) {
409		✗	s->itx_fn[plane](s->ifft[plane][jobnr], vdata_out + y * n, vdata_in + y * n, sizeof(AVComplexFloat));
410
411		✗	for (x = 0; x < n; x++) {
412		✗	hdata[x * n + y].re = vdata_out[y * n + x].re;
413		✗	hdata[x * n + y].im = vdata_out[y * n + x].im;
414			}
415			}
416
417		✗	return 0;
418			}
419
420		✗	static int ifft_horizontal(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
421			{
422		✗	ConvolveContext *s = ctx->priv;
423		✗	ThreadData *td = arg;
424		✗	AVComplexFloat *hdata_out = td->hdata_out;
425		✗	AVComplexFloat *hdata_in = td->hdata_in;
426		✗	const int plane = td->plane;
427		✗	const int n = td->n;
428		✗	int start = (n * jobnr) / nb_jobs;
429		✗	int end = (n * (jobnr+1)) / nb_jobs;
430			int y;
431
432		✗	for (y = start; y < end; y++) {
433		✗	s->itx_fn[plane](s->ifft[plane][jobnr], hdata_out + y * n, hdata_in + y * n, sizeof(AVComplexFloat));
434			}
435
436		✗	return 0;
437			}
438
439		✗	static void get_xoutput(ConvolveContext *s, AVComplexFloat *input, AVFrame *out,
440			int w, int h, int n, int plane, float scale)
441			{
442		✗	const int imax = (1 << s->depth) - 1;
443
444		✗	scale *= imax * 16;
445		✗	if (s->depth == 8) {
446		✗	for (int y = 0; y < h; y++) {
447		✗	uint8_t *dst = out->data[plane] + y * out->linesize[plane];
448		✗	for (int x = 0; x < w; x++)
449		✗	dst[x] = av_clip_uint8(input[y * n + x].re * scale);
450			}
451			} else {
452		✗	for (int y = 0; y < h; y++) {
453		✗	uint16_t *dst = (uint16_t *)(out->data[plane] + y * out->linesize[plane]);
454		✗	for (int x = 0; x < w; x++)
455		✗	dst[x] = av_clip(input[y * n + x].re * scale, 0, imax);
456			}
457			}
458		✗	}
459
460		✗	static void get_output(ConvolveContext *s, AVComplexFloat *input, AVFrame *out,
461			int w, int h, int n, int plane, float scale)
462			{
463		✗	const int max = (1 << s->depth) - 1;
464		✗	const int hh = h / 2;
465		✗	const int hw = w / 2;
466			int y, x;
467
468		✗	if (s->depth == 8) {
469		✗	for (y = 0; y < hh; y++) {
470		✗	uint8_t *dst = out->data[plane] + (y + hh) * out->linesize[plane] + hw;
471		✗	for (x = 0; x < hw; x++)
472		✗	dst[x] = av_clip_uint8(input[y * n + x].re * scale);
473			}
474		✗	for (y = 0; y < hh; y++) {
475		✗	uint8_t *dst = out->data[plane] + (y + hh) * out->linesize[plane];
476		✗	for (x = 0; x < hw; x++)
477		✗	dst[x] = av_clip_uint8(input[y * n + n - hw + x].re * scale);
478			}
479		✗	for (y = 0; y < hh; y++) {
480		✗	uint8_t *dst = out->data[plane] + y * out->linesize[plane] + hw;
481		✗	for (x = 0; x < hw; x++)
482		✗	dst[x] = av_clip_uint8(input[(n - hh + y) * n + x].re * scale);
483			}
484		✗	for (y = 0; y < hh; y++) {
485		✗	uint8_t *dst = out->data[plane] + y * out->linesize[plane];
486		✗	for (x = 0; x < hw; x++)
487		✗	dst[x] = av_clip_uint8(input[(n - hh + y) * n + n - hw + x].re * scale);
488			}
489			} else {
490		✗	for (y = 0; y < hh; y++) {
491		✗	uint16_t *dst = (uint16_t *)(out->data[plane] + (y + hh) * out->linesize[plane] + hw * 2);
492		✗	for (x = 0; x < hw; x++)
493		✗	dst[x] = av_clip(input[y * n + x].re * scale, 0, max);
494			}
495		✗	for (y = 0; y < hh; y++) {
496		✗	uint16_t *dst = (uint16_t *)(out->data[plane] + (y + hh) * out->linesize[plane]);
497		✗	for (x = 0; x < hw; x++)
498		✗	dst[x] = av_clip(input[y * n + n - hw + x].re * scale, 0, max);
499			}
500		✗	for (y = 0; y < hh; y++) {
501		✗	uint16_t *dst = (uint16_t *)(out->data[plane] + y * out->linesize[plane] + hw * 2);
502		✗	for (x = 0; x < hw; x++)
503		✗	dst[x] = av_clip(input[(n - hh + y) * n + x].re * scale, 0, max);
504			}
505		✗	for (y = 0; y < hh; y++) {
506		✗	uint16_t *dst = (uint16_t *)(out->data[plane] + y * out->linesize[plane]);
507		✗	for (x = 0; x < hw; x++)
508		✗	dst[x] = av_clip(input[(n - hh + y) * n + n - hw + x].re * scale, 0, max);
509			}
510			}
511		✗	}
512
513		✗	static int complex_multiply(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
514			{
515		✗	ConvolveContext *s = ctx->priv;
516		✗	ThreadData *td = arg;
517		✗	AVComplexFloat *input = td->hdata_in;
518		✗	AVComplexFloat *filter = td->vdata_in;
519		✗	const float noise = s->noise;
520		✗	const int n = td->n;
521		✗	int start = (n * jobnr) / nb_jobs;
522		✗	int end = (n * (jobnr+1)) / nb_jobs;
523			int y, x;
524
525		✗	for (y = start; y < end; y++) {
526		✗	int yn = y * n;
527
528		✗	for (x = 0; x < n; x++) {
529			float re, im, ire, iim;
530
531		✗	re = input[yn + x].re;
532		✗	im = input[yn + x].im;
533		✗	ire = filter[yn + x].re + noise;
534		✗	iim = filter[yn + x].im;
535
536		✗	input[yn + x].re = ire * re - iim * im;
537		✗	input[yn + x].im = iim * re + ire * im;
538			}
539			}
540
541		✗	return 0;
542			}
543
544		✗	static int complex_xcorrelate(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
545			{
546		✗	ThreadData *td = arg;
547		✗	AVComplexFloat *input = td->hdata_in;
548		✗	AVComplexFloat *filter = td->vdata_in;
549		✗	const int n = td->n;
550		✗	const float scale = 1.f / (n * n);
551		✗	int start = (n * jobnr) / nb_jobs;
552		✗	int end = (n * (jobnr+1)) / nb_jobs;
553
554		✗	for (int y = start; y < end; y++) {
555		✗	int yn = y * n;
556
557		✗	for (int x = 0; x < n; x++) {
558			float re, im, ire, iim;
559
560		✗	re = input[yn + x].re;
561		✗	im = input[yn + x].im;
562		✗	ire = filter[yn + x].re * scale;
563		✗	iim = -filter[yn + x].im * scale;
564
565		✗	input[yn + x].re = ire * re - iim * im;
566		✗	input[yn + x].im = iim * re + ire * im;
567			}
568			}
569
570		✗	return 0;
571			}
572
573		✗	static int complex_divide(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
574			{
575		✗	ConvolveContext *s = ctx->priv;
576		✗	ThreadData *td = arg;
577		✗	AVComplexFloat *input = td->hdata_in;
578		✗	AVComplexFloat *filter = td->vdata_in;
579		✗	const float noise = s->noise;
580		✗	const int n = td->n;
581		✗	int start = (n * jobnr) / nb_jobs;
582		✗	int end = (n * (jobnr+1)) / nb_jobs;
583			int y, x;
584
585		✗	for (y = start; y < end; y++) {
586		✗	int yn = y * n;
587
588		✗	for (x = 0; x < n; x++) {
589			float re, im, ire, iim, div;
590
591		✗	re = input[yn + x].re;
592		✗	im = input[yn + x].im;
593		✗	ire = filter[yn + x].re;
594		✗	iim = filter[yn + x].im;
595		✗	div = ire * ire + iim * iim + noise;
596
597		✗	input[yn + x].re = (ire * re + iim * im) / div;
598		✗	input[yn + x].im = (ire * im - iim * re) / div;
599			}
600			}
601
602		✗	return 0;
603			}
604
605		✗	static void prepare_impulse(AVFilterContext *ctx, AVFrame *impulsepic, int plane)
606			{
607		✗	ConvolveContext *s = ctx->priv;
608		✗	const int n = s->fft_len[plane];
609		✗	const int w = s->secondarywidth[plane];
610		✗	const int h = s->secondaryheight[plane];
611			ThreadData td;
612		✗	float total = 0;
613
614		✗	if (s->depth == 8) {
615		✗	for (int y = 0; y < h; y++) {
616		✗	const uint8_t *src = (const uint8_t *)(impulsepic->data[plane] + y * impulsepic->linesize[plane]) ;
617		✗	for (int x = 0; x < w; x++) {
618		✗	total += src[x];
619			}
620			}
621			} else {
622		✗	for (int y = 0; y < h; y++) {
623		✗	const uint16_t *src = (const uint16_t *)(impulsepic->data[plane] + y * impulsepic->linesize[plane]) ;
624		✗	for (int x = 0; x < w; x++) {
625		✗	total += src[x];
626			}
627			}
628			}
629		✗	total = FFMAX(1, total);
630
631		✗	s->get_input(s, s->fft_hdata_impulse_in[plane], impulsepic, w, h, n, plane, 1.f / total);
632
633		✗	td.n = n;
634		✗	td.plane = plane;
635		✗	td.hdata_in = s->fft_hdata_impulse_in[plane];
636		✗	td.vdata_in = s->fft_vdata_impulse_in[plane];
637		✗	td.hdata_out = s->fft_hdata_impulse_out[plane];
638		✗	td.vdata_out = s->fft_vdata_impulse_out[plane];
639
640		✗	ff_filter_execute(ctx, fft_horizontal, &td, NULL,
641		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
642		✗	ff_filter_execute(ctx, fft_vertical, &td, NULL,
643		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
644
645		✗	s->got_impulse[plane] = 1;
646		✗	}
647
648		✗	static void prepare_secondary(AVFilterContext *ctx, AVFrame *secondary, int plane)
649			{
650		✗	ConvolveContext *s = ctx->priv;
651		✗	const int n = s->fft_len[plane];
652			ThreadData td;
653
654		✗	s->get_input(s, s->fft_hdata_impulse_in[plane], secondary,
655			s->secondarywidth[plane],
656			s->secondaryheight[plane],
657			n, plane, 1.f);
658
659		✗	td.n = n;
660		✗	td.plane = plane;
661		✗	td.hdata_in = s->fft_hdata_impulse_in[plane];
662		✗	td.vdata_in = s->fft_vdata_impulse_in[plane];
663		✗	td.hdata_out = s->fft_hdata_impulse_out[plane];
664		✗	td.vdata_out = s->fft_vdata_impulse_out[plane];
665
666		✗	ff_filter_execute(ctx, fft_horizontal, &td, NULL,
667		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
668		✗	ff_filter_execute(ctx, fft_vertical, &td, NULL,
669		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
670
671		✗	s->got_impulse[plane] = 1;
672		✗	}
673
674		✗	static int do_convolve(FFFrameSync *fs)
675			{
676		✗	AVFilterContext *ctx = fs->parent;
677		✗	AVFilterLink *outlink = ctx->outputs[0];
678		✗	ConvolveContext *s = ctx->priv;
679		✗	AVFrame *mainpic = NULL, *impulsepic = NULL;
680			int ret, plane;
681
682		✗	ret = ff_framesync_dualinput_get(fs, &mainpic, &impulsepic);
683		✗	if (ret < 0)
684		✗	return ret;
685		✗	if (!impulsepic)
686		✗	return ff_filter_frame(outlink, mainpic);
687
688		✗	for (plane = 0; plane < s->nb_planes; plane++) {
689		✗	AVComplexFloat *filter = s->fft_vdata_impulse_out[plane];
690		✗	AVComplexFloat *input = s->fft_vdata_out[plane];
691		✗	const int n = s->fft_len[plane];
692		✗	const int w = s->primarywidth[plane];
693		✗	const int h = s->primaryheight[plane];
694		✗	const int ow = s->planewidth[plane];
695		✗	const int oh = s->planeheight[plane];
696			ThreadData td;
697
698		✗	if (!(s->planes & (1 << plane))) {
699		✗	continue;
700			}
701
702		✗	td.plane = plane, td.n = n;
703		✗	s->get_input(s, s->fft_hdata_in[plane], mainpic, w, h, n, plane, 1.f);
704
705		✗	td.hdata_in = s->fft_hdata_in[plane];
706		✗	td.vdata_in = s->fft_vdata_in[plane];
707		✗	td.hdata_out = s->fft_hdata_out[plane];
708		✗	td.vdata_out = s->fft_vdata_out[plane];
709
710		✗	ff_filter_execute(ctx, fft_horizontal, &td, NULL,
711		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
712		✗	ff_filter_execute(ctx, fft_vertical, &td, NULL,
713		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
714
715		✗	if ((!s->impulse && !s->got_impulse[plane]) || s->impulse) {
716		✗	s->prepare_impulse(ctx, impulsepic, plane);
717			}
718
719		✗	td.hdata_in = input;
720		✗	td.vdata_in = filter;
721
722		✗	ff_filter_execute(ctx, s->filter, &td, NULL,
723		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
724
725		✗	td.hdata_in = s->fft_hdata_out[plane];
726		✗	td.vdata_in = s->fft_vdata_out[plane];
727		✗	td.hdata_out = s->fft_hdata_in[plane];
728		✗	td.vdata_out = s->fft_vdata_in[plane];
729
730		✗	ff_filter_execute(ctx, ifft_vertical, &td, NULL,
731		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
732
733		✗	td.hdata_out = s->fft_hdata_out[plane];
734		✗	td.hdata_in = s->fft_hdata_in[plane];
735
736		✗	ff_filter_execute(ctx, ifft_horizontal, &td, NULL,
737		✗	FFMIN3(MAX_THREADS, n, ff_filter_get_nb_threads(ctx)));
738
739		✗	s->get_output(s, s->fft_hdata_out[plane], mainpic, ow, oh, n, plane, 1.f / (n * n));
740			}
741
742		✗	return ff_filter_frame(outlink, mainpic);
743			}
744
745		✗	static int config_output(AVFilterLink *outlink)
746			{
747		✗	FilterLink *outl = ff_filter_link(outlink);
748		✗	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(outlink->format);
749		✗	AVFilterContext *ctx = outlink->src;
750		✗	ConvolveContext *s = ctx->priv;
751		✗	AVFilterLink *mainlink = ctx->inputs[0];
752		✗	FilterLink *ml = ff_filter_link(mainlink);
753		✗	AVFilterLink *secondlink = ctx->inputs[1];
754			int ret, i, j;
755
756		✗	s->primarywidth[1] = s->primarywidth[2] = AV_CEIL_RSHIFT(mainlink->w, desc->log2_chroma_w);
757		✗	s->primarywidth[0] = s->primarywidth[3] = mainlink->w;
758		✗	s->primaryheight[1] = s->primaryheight[2] = AV_CEIL_RSHIFT(mainlink->h, desc->log2_chroma_h);
759		✗	s->primaryheight[0] = s->primaryheight[3] = mainlink->h;
760
761		✗	s->secondarywidth[1] = s->secondarywidth[2] = AV_CEIL_RSHIFT(secondlink->w, desc->log2_chroma_w);
762		✗	s->secondarywidth[0] = s->secondarywidth[3] = secondlink->w;
763		✗	s->secondaryheight[1] = s->secondaryheight[2] = AV_CEIL_RSHIFT(secondlink->h, desc->log2_chroma_h);
764		✗	s->secondaryheight[0] = s->secondaryheight[3] = secondlink->h;
765
766		✗	s->fs.on_event = do_convolve;
767		✗	ret = ff_framesync_init_dualinput(&s->fs, ctx);
768		✗	if (ret < 0)
769		✗	return ret;
770		✗	outlink->w = mainlink->w;
771		✗	outlink->h = mainlink->h;
772		✗	outlink->time_base = mainlink->time_base;
773		✗	outlink->sample_aspect_ratio = mainlink->sample_aspect_ratio;
774		✗	outl->frame_rate = ml->frame_rate;
775
776		✗	if ((ret = ff_framesync_configure(&s->fs)) < 0)
777		✗	return ret;
778
779		✗	for (i = 0; i < s->nb_planes; i++) {
780		✗	for (j = 0; j < MAX_THREADS; j++) {
781		✗	float scale = 1.f;
782
783		✗	ret = av_tx_init(&s->fft[i][j], &s->tx_fn[i], AV_TX_FLOAT_FFT, 0, s->fft_len[i], &scale, 0);
784		✗	if (ret < 0)
785		✗	return ret;
786		✗	ret = av_tx_init(&s->ifft[i][j], &s->itx_fn[i], AV_TX_FLOAT_FFT, 1, s->fft_len[i], &scale, 0);
787		✗	if (ret < 0)
788		✗	return ret;
789			}
790			}
791
792		✗	return 0;
793			}
794
795		✗	static int activate(AVFilterContext *ctx)
796			{
797		✗	ConvolveContext *s = ctx->priv;
798		✗	return ff_framesync_activate(&s->fs);
799			}
800
801		✗	static av_cold int init(AVFilterContext *ctx)
802			{
803		✗	ConvolveContext *s = ctx->priv;
804
805		✗	if (!strcmp(ctx->filter->name, "convolve")) {
806		✗	s->filter = complex_multiply;
807		✗	s->prepare_impulse = prepare_impulse;
808		✗	s->get_input = get_input;
809		✗	s->get_output = get_output;
810		✗	} else if (!strcmp(ctx->filter->name, "xcorrelate")) {
811		✗	s->filter = complex_xcorrelate;
812		✗	s->prepare_impulse = prepare_secondary;
813		✗	s->get_input = get_zeropadded_input;
814		✗	s->get_output = get_xoutput;
815		✗	} else if (!strcmp(ctx->filter->name, "deconvolve")) {
816		✗	s->filter = complex_divide;
817		✗	s->prepare_impulse = prepare_impulse;
818		✗	s->get_input = get_input;
819		✗	s->get_output = get_output;
820			} else {
821		✗	return AVERROR_BUG;
822			}
823
824		✗	return 0;
825			}
826
827		✗	static av_cold void uninit(AVFilterContext *ctx)
828			{
829		✗	ConvolveContext *s = ctx->priv;
830			int i, j;
831
832		✗	for (i = 0; i < 4; i++) {
833		✗	av_freep(&s->fft_hdata_in[i]);
834		✗	av_freep(&s->fft_vdata_in[i]);
835		✗	av_freep(&s->fft_hdata_out[i]);
836		✗	av_freep(&s->fft_vdata_out[i]);
837		✗	av_freep(&s->fft_hdata_impulse_in[i]);
838		✗	av_freep(&s->fft_vdata_impulse_in[i]);
839		✗	av_freep(&s->fft_hdata_impulse_out[i]);
840		✗	av_freep(&s->fft_vdata_impulse_out[i]);
841
842		✗	for (j = 0; j < MAX_THREADS; j++) {
843		✗	av_tx_uninit(&s->fft[i][j]);
844		✗	av_tx_uninit(&s->ifft[i][j]);
845			}
846			}
847
848		✗	ff_framesync_uninit(&s->fs);
849		✗	}
850
851			static const AVFilterPad convolve_inputs[] = {
852			{
853			.name = "main",
854			.type = AVMEDIA_TYPE_VIDEO,
855			.config_props = config_input,
856			},{
857			.name = "impulse",
858			.type = AVMEDIA_TYPE_VIDEO,
859			.config_props = config_input_impulse,
860			},
861			};
862
863			static const AVFilterPad convolve_outputs[] = {
864			{
865			.name = "default",
866			.type = AVMEDIA_TYPE_VIDEO,
867			.config_props = config_output,
868			},
869			};
870
871		✗	FRAMESYNC_AUXILIARY_FUNCS(convolve, ConvolveContext, fs)
872
873			#if CONFIG_CONVOLVE_FILTER
874
875			FRAMESYNC_DEFINE_PURE_CLASS(convolve, "convolve", convolve, convolve_options);
876
877			const FFFilter ff_vf_convolve = {
878			.p.name = "convolve",
879			.p.description = NULL_IF_CONFIG_SMALL("Convolve first video stream with second video stream."),
880			.p.priv_class = &convolve_class,
881			.p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
882			.preinit = convolve_framesync_preinit,
883			.init = init,
884			.uninit = uninit,
885			.activate = activate,
886			.priv_size = sizeof(ConvolveContext),
887			FILTER_INPUTS(convolve_inputs),
888			FILTER_OUTPUTS(convolve_outputs),
889			FILTER_PIXFMTS_ARRAY(pixel_fmts_fftfilt),
890			};
891
892			#endif /* CONFIG_CONVOLVE_FILTER */
893
894			#if CONFIG_DECONVOLVE_FILTER
895
896			static const AVOption deconvolve_options[] = {
897			{ "planes", "set planes to deconvolve", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=7}, 0, 15, FLAGS },
898			{ "impulse", "when to process impulses", OFFSET(impulse), AV_OPT_TYPE_INT, {.i64=1}, 0, 1, FLAGS, .unit = "impulse" },
899			{ "first", "process only first impulse, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, .unit = "impulse" },
900			{ "all", "process all impulses", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, .unit = "impulse" },
901			{ "noise", "set noise", OFFSET(noise), AV_OPT_TYPE_FLOAT, {.dbl=0.0000001}, 0, 1, FLAGS },
902			{ NULL },
903			};
904
905			FRAMESYNC_DEFINE_PURE_CLASS(deconvolve, "deconvolve", convolve, deconvolve_options);
906
907			const FFFilter ff_vf_deconvolve = {
908			.p.name = "deconvolve",
909			.p.description = NULL_IF_CONFIG_SMALL("Deconvolve first video stream with second video stream."),
910			.p.priv_class = &deconvolve_class,
911			.p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
912			.preinit = convolve_framesync_preinit,
913			.init = init,
914			.uninit = uninit,
915			.activate = activate,
916			.priv_size = sizeof(ConvolveContext),
917			FILTER_INPUTS(convolve_inputs),
918			FILTER_OUTPUTS(convolve_outputs),
919			FILTER_PIXFMTS_ARRAY(pixel_fmts_fftfilt),
920			};
921
922			#endif /* CONFIG_DECONVOLVE_FILTER */
923
924			#if CONFIG_XCORRELATE_FILTER
925
926			static const AVOption xcorrelate_options[] = {
927			{ "planes", "set planes to cross-correlate", OFFSET(planes), AV_OPT_TYPE_INT, {.i64=7}, 0, 15, FLAGS },
928			{ "secondary", "when to process secondary frame", OFFSET(impulse), AV_OPT_TYPE_INT, {.i64=1}, 0, 1, FLAGS, .unit = "impulse" },
929			{ "first", "process only first secondary frame, ignore rest", 0, AV_OPT_TYPE_CONST, {.i64=0}, 0, 0, FLAGS, .unit = "impulse" },
930			{ "all", "process all secondary frames", 0, AV_OPT_TYPE_CONST, {.i64=1}, 0, 0, FLAGS, .unit = "impulse" },
931			{ NULL },
932			};
933
934			FRAMESYNC_DEFINE_PURE_CLASS(xcorrelate, "xcorrelate", convolve, xcorrelate_options);
935
936		✗	static int config_input_secondary(AVFilterLink *inlink)
937			{
938		✗	AVFilterContext *ctx = inlink->dst;
939
940		✗	if (ctx->inputs[0]->w <= ctx->inputs[1]->w ||
941		✗	ctx->inputs[0]->h <= ctx->inputs[1]->h) {
942		✗	av_log(ctx, AV_LOG_ERROR, "Width and height of second input videos must be less than first input.\n");
943		✗	return AVERROR(EINVAL);
944			}
945
946		✗	return 0;
947			}
948
949			static const AVFilterPad xcorrelate_inputs[] = {
950			{
951			.name = "primary",
952			.type = AVMEDIA_TYPE_VIDEO,
953			.config_props = config_input,
954			},{
955			.name = "secondary",
956			.type = AVMEDIA_TYPE_VIDEO,
957			.config_props = config_input_secondary,
958			},
959			};
960
961			#define xcorrelate_outputs convolve_outputs
962
963			const FFFilter ff_vf_xcorrelate = {
964			.p.name = "xcorrelate",
965			.p.description = NULL_IF_CONFIG_SMALL("Cross-correlate first video stream with second video stream."),
966			.p.priv_class = &xcorrelate_class,
967			.p.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL | AVFILTER_FLAG_SLICE_THREADS,
968			.preinit = convolve_framesync_preinit,
969			.init = init,
970			.uninit = uninit,
971			.activate = activate,
972			.priv_size = sizeof(ConvolveContext),
973			FILTER_INPUTS(xcorrelate_inputs),
974			FILTER_OUTPUTS(xcorrelate_outputs),
975			FILTER_PIXFMTS_ARRAY(pixel_fmts_fftfilt),
976			};
977
978			#endif /* CONFIG_XCORRELATE_FILTER */
979