FFmpeg coverage

Line	Branch	Exec	Source
1			/*
2			* Copyright (c) 2017 Richard Ling
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			/*
22			* Normalize RGB video (aka histogram stretching, contrast stretching).
23			* See: https://en.wikipedia.org/wiki/Normalization_(image_processing)
24			*
25			* For each channel of each frame, the filter computes the input range and maps
26			* it linearly to the user-specified output range. The output range defaults
27			* to the full dynamic range from pure black to pure white.
28			*
29			* Naively maximising the dynamic range of each frame of video in isolation
30			* may cause flickering (rapid changes in brightness of static objects in the
31			* scene) when small dark or bright objects enter or leave the scene. This
32			* filter can apply temporal smoothing to the input range to reduce flickering.
33			* Temporal smoothing is similar to the auto-exposure (automatic gain control)
34			* on a video camera, which performs the same function; and, like a video
35			* camera, it may cause a period of over- or under-exposure of the video.
36			*
37			* The filter can normalize the R,G,B channels independently, which may cause
38			* color shifting, or link them together as a single channel, which prevents
39			* color shifting. More precisely, linked normalization preserves hue (as it's
40			* defined in HSV/HSL color spaces) while independent normalization does not.
41			* Independent normalization can be used to remove color casts, such as the
42			* blue cast from underwater video, restoring more natural colors. The filter
43			* can also combine independent and linked normalization in any ratio.
44			*
45			* Finally the overall strength of the filter can be adjusted, from no effect
46			* to full normalization.
47			*
48			* The 5 AVOptions are:
49			* blackpt, Colors which define the output range. The minimum input value
50			* whitept is mapped to the blackpt. The maximum input value is mapped to
51			* the whitept. The defaults are black and white respectively.
52			* Specifying white for blackpt and black for whitept will give
53			* color-inverted, normalized video. Shades of grey can be used
54			* to reduce the dynamic range (contrast). Specifying saturated
55			* colors here can create some interesting effects.
56			*
57			* smoothing The amount of temporal smoothing, expressed in frames (>=0).
58			* the minimum and maximum input values of each channel are
59			* smoothed using a rolling average over the current frame and
60			* that many previous frames of video. Defaults to 0 (no temporal
61			* smoothing).
62			*
63			* independence
64			* Controls the ratio of independent (color shifting) channel
65			* normalization to linked (color preserving) normalization. 0.0
66			* is fully linked, 1.0 is fully independent. Defaults to fully
67			* independent.
68			*
69			* strength Overall strength of the filter. 1.0 is full strength. 0.0 is
70			* a rather expensive no-op. Values in between can give a gentle
71			* boost to low-contrast video without creating an artificial
72			* over-processed look. The default is full strength.
73			*/
74
75			#include "libavutil/intreadwrite.h"
76			#include "libavutil/opt.h"
77			#include "libavutil/pixdesc.h"
78			#include "avfilter.h"
79			#include "drawutils.h"
80			#include "internal.h"
81			#include "video.h"
82
83			typedef struct NormalizeHistory {
84			uint16_t *history; // History entries.
85			uint64_t history_sum; // Sum of history entries.
86			} NormalizeHistory;
87
88			typedef struct NormalizeLocal {
89			uint16_t in; // Original input byte value for this frame.
90			float smoothed; // Smoothed input value [0,255].
91			float out; // Output value [0,255]
92			} NormalizeLocal;
93
94			typedef struct NormalizeContext {
95			const AVClass *class;
96
97			// Storage for the corresponding AVOptions
98			uint8_t blackpt[4];
99			uint8_t whitept[4];
100			int smoothing;
101			float independence;
102			float strength;
103
104			uint8_t co[4]; // Offsets to R,G,B,A bytes respectively in each pixel
105			int depth;
106			int sblackpt[4];
107			int swhitept[4];
108			int num_components; // Number of components in the pixel format
109			int step;
110			int history_len; // Number of frames to average; based on smoothing factor
111			int frame_num; // Increments on each frame, starting from 0.
112
113			// Per-extremum, per-channel history, for temporal smoothing.
114			NormalizeHistory min[3], max[3]; // Min and max for each channel in {R,G,B}.
115			uint16_t *history_mem; // Single allocation for above history entries
116
117			uint16_t lut[3][65536]; // Lookup table
118
119			void (*find_min_max)(struct NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3]);
120			void (*process)(struct NormalizeContext *s, AVFrame *in, AVFrame *out);
121			} NormalizeContext;
122
123			#define OFFSET(x) offsetof(NormalizeContext, x)
124			#define FLAGS AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM
125			#define FLAGSR AV_OPT_FLAG_VIDEO_PARAM|AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_RUNTIME_PARAM
126
127			static const AVOption normalize_options[] = {
128			{ "blackpt", "output color to which darkest input color is mapped", OFFSET(blackpt), AV_OPT_TYPE_COLOR, { .str = "black" }, 0, 0, FLAGSR },
129			{ "whitept", "output color to which brightest input color is mapped", OFFSET(whitept), AV_OPT_TYPE_COLOR, { .str = "white" }, 0, 0, FLAGSR },
130			{ "smoothing", "amount of temporal smoothing of the input range, to reduce flicker", OFFSET(smoothing), AV_OPT_TYPE_INT, {.i64=0}, 0, INT_MAX/8, FLAGS },
131			{ "independence", "proportion of independent to linked channel normalization", OFFSET(independence), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 1.0, FLAGSR },
132			{ "strength", "strength of filter, from no effect to full normalization", OFFSET(strength), AV_OPT_TYPE_FLOAT, {.dbl=1.0}, 0.0, 1.0, FLAGSR },
133			{ NULL }
134			};
135
136			AVFILTER_DEFINE_CLASS(normalize);
137
138		✗	static void find_min_max(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
139			{
140		✗	for (int c = 0; c < 3; c++)
141		✗	min[c].in = max[c].in = in->data[0][s->co[c]];
142		✗	for (int y = 0; y < in->height; y++) {
143		✗	uint8_t *inp = in->data[0] + y * in->linesize[0];
144		✗	for (int x = 0; x < in->width; x++) {
145		✗	for (int c = 0; c < 3; c++) {
146		✗	min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
147		✗	max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
148			}
149		✗	inp += s->step;
150			}
151			}
152		✗	}
153
154		✗	static void process(NormalizeContext *s, AVFrame *in, AVFrame *out)
155			{
156		✗	for (int y = 0; y < in->height; y++) {
157		✗	uint8_t *inp = in->data[0] + y * in->linesize[0];
158		✗	uint8_t *outp = out->data[0] + y * out->linesize[0];
159		✗	for (int x = 0; x < in->width; x++) {
160		✗	for (int c = 0; c < 3; c++)
161		✗	outp[s->co[c]] = s->lut[c][inp[s->co[c]]];
162		✗	if (s->num_components == 4)
163			// Copy alpha as-is.
164		✗	outp[s->co[3]] = inp[s->co[3]];
165		✗	inp += s->step;
166		✗	outp += s->step;
167			}
168			}
169		✗	}
170
171		✗	static void find_min_max_planar(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
172			{
173		✗	min[0].in = max[0].in = in->data[2][0];
174		✗	min[1].in = max[1].in = in->data[0][0];
175		✗	min[2].in = max[2].in = in->data[1][0];
176		✗	for (int y = 0; y < in->height; y++) {
177		✗	uint8_t *inrp = in->data[2] + y * in->linesize[2];
178		✗	uint8_t *ingp = in->data[0] + y * in->linesize[0];
179		✗	uint8_t *inbp = in->data[1] + y * in->linesize[1];
180		✗	for (int x = 0; x < in->width; x++) {
181		✗	min[0].in = FFMIN(min[0].in, inrp[x]);
182		✗	max[0].in = FFMAX(max[0].in, inrp[x]);
183		✗	min[1].in = FFMIN(min[1].in, ingp[x]);
184		✗	max[1].in = FFMAX(max[1].in, ingp[x]);
185		✗	min[2].in = FFMIN(min[2].in, inbp[x]);
186		✗	max[2].in = FFMAX(max[2].in, inbp[x]);
187			}
188			}
189		✗	}
190
191		✗	static void process_planar(NormalizeContext *s, AVFrame *in, AVFrame *out)
192			{
193		✗	for (int y = 0; y < in->height; y++) {
194		✗	uint8_t *inrp = in->data[2] + y * in->linesize[2];
195		✗	uint8_t *ingp = in->data[0] + y * in->linesize[0];
196		✗	uint8_t *inbp = in->data[1] + y * in->linesize[1];
197		✗	uint8_t *inap = in->data[3] + y * in->linesize[3];
198		✗	uint8_t *outrp = out->data[2] + y * out->linesize[2];
199		✗	uint8_t *outgp = out->data[0] + y * out->linesize[0];
200		✗	uint8_t *outbp = out->data[1] + y * out->linesize[1];
201		✗	uint8_t *outap = out->data[3] + y * out->linesize[3];
202		✗	for (int x = 0; x < in->width; x++) {
203		✗	outrp[x] = s->lut[0][inrp[x]];
204		✗	outgp[x] = s->lut[1][ingp[x]];
205		✗	outbp[x] = s->lut[2][inbp[x]];
206		✗	if (s->num_components == 4)
207		✗	outap[x] = inap[x];
208			}
209			}
210		✗	}
211
212		✗	static void find_min_max_16(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
213			{
214		✗	for (int c = 0; c < 3; c++)
215		✗	min[c].in = max[c].in = AV_RN16(in->data[0] + 2 * s->co[c]);
216		✗	for (int y = 0; y < in->height; y++) {
217		✗	uint16_t *inp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
218		✗	for (int x = 0; x < in->width; x++) {
219		✗	for (int c = 0; c < 3; c++) {
220		✗	min[c].in = FFMIN(min[c].in, inp[s->co[c]]);
221		✗	max[c].in = FFMAX(max[c].in, inp[s->co[c]]);
222			}
223		✗	inp += s->step;
224			}
225			}
226		✗	}
227
228		✗	static void process_16(NormalizeContext *s, AVFrame *in, AVFrame *out)
229			{
230		✗	for (int y = 0; y < in->height; y++) {
231		✗	uint16_t *inp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
232		✗	uint16_t *outp = (uint16_t *)(out->data[0] + y * out->linesize[0]);
233		✗	for (int x = 0; x < in->width; x++) {
234		✗	for (int c = 0; c < 3; c++)
235		✗	outp[s->co[c]] = s->lut[c][inp[s->co[c]]];
236		✗	if (s->num_components == 4)
237			// Copy alpha as-is.
238		✗	outp[s->co[3]] = inp[s->co[3]];
239		✗	inp += s->step;
240		✗	outp += s->step;
241			}
242			}
243		✗	}
244
245		✗	static void find_min_max_planar_16(NormalizeContext *s, AVFrame *in, NormalizeLocal min[3], NormalizeLocal max[3])
246			{
247		✗	min[0].in = max[0].in = AV_RN16(in->data[2]);
248		✗	min[1].in = max[1].in = AV_RN16(in->data[0]);
249		✗	min[2].in = max[2].in = AV_RN16(in->data[1]);
250		✗	for (int y = 0; y < in->height; y++) {
251		✗	uint16_t *inrp = (uint16_t *)(in->data[2] + y * in->linesize[2]);
252		✗	uint16_t *ingp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
253		✗	uint16_t *inbp = (uint16_t *)(in->data[1] + y * in->linesize[1]);
254		✗	for (int x = 0; x < in->width; x++) {
255		✗	min[0].in = FFMIN(min[0].in, inrp[x]);
256		✗	max[0].in = FFMAX(max[0].in, inrp[x]);
257		✗	min[1].in = FFMIN(min[1].in, ingp[x]);
258		✗	max[1].in = FFMAX(max[1].in, ingp[x]);
259		✗	min[2].in = FFMIN(min[2].in, inbp[x]);
260		✗	max[2].in = FFMAX(max[2].in, inbp[x]);
261			}
262			}
263		✗	}
264
265		✗	static void process_planar_16(NormalizeContext *s, AVFrame *in, AVFrame *out)
266			{
267		✗	for (int y = 0; y < in->height; y++) {
268		✗	uint16_t *inrp = (uint16_t *)(in->data[2] + y * in->linesize[2]);
269		✗	uint16_t *ingp = (uint16_t *)(in->data[0] + y * in->linesize[0]);
270		✗	uint16_t *inbp = (uint16_t *)(in->data[1] + y * in->linesize[1]);
271		✗	uint16_t *inap = (uint16_t *)(in->data[3] + y * in->linesize[3]);
272		✗	uint16_t *outrp = (uint16_t *)(out->data[2] + y * out->linesize[2]);
273		✗	uint16_t *outgp = (uint16_t *)(out->data[0] + y * out->linesize[0]);
274		✗	uint16_t *outbp = (uint16_t *)(out->data[1] + y * out->linesize[1]);
275		✗	uint16_t *outap = (uint16_t *)(out->data[3] + y * out->linesize[3]);
276		✗	for (int x = 0; x < in->width; x++) {
277		✗	outrp[x] = s->lut[0][inrp[x]];
278		✗	outgp[x] = s->lut[1][ingp[x]];
279		✗	outbp[x] = s->lut[2][inbp[x]];
280		✗	if (s->num_components == 4)
281		✗	outap[x] = inap[x];
282			}
283			}
284		✗	}
285
286			// This function is the main guts of the filter. Normalizes the input frame
287			// into the output frame. The frames are known to have the same dimensions
288			// and pixel format.
289		✗	static void normalize(NormalizeContext *s, AVFrame *in, AVFrame *out)
290			{
291			// Per-extremum, per-channel local variables.
292			NormalizeLocal min[3], max[3]; // Min and max for each channel in {R,G,B}.
293
294			float rgb_min_smoothed; // Min input range for linked normalization
295			float rgb_max_smoothed; // Max input range for linked normalization
296			int c;
297
298			// First, scan the input frame to find, for each channel, the minimum
299			// (min.in) and maximum (max.in) values present in the channel.
300		✗	s->find_min_max(s, in, min, max);
301
302			// Next, for each channel, push min.in and max.in into their respective
303			// histories, to determine the min.smoothed and max.smoothed for this frame.
304			{
305		✗	int history_idx = s->frame_num % s->history_len;
306			// Assume the history is not yet full; num_history_vals is the number
307			// of frames received so far including the current frame.
308		✗	int num_history_vals = s->frame_num + 1;
309		✗	if (s->frame_num >= s->history_len) {
310			//The history is full; drop oldest value and cap num_history_vals.
311		✗	for (c = 0; c < 3; c++) {
312		✗	s->min[c].history_sum -= s->min[c].history[history_idx];
313		✗	s->max[c].history_sum -= s->max[c].history[history_idx];
314			}
315		✗	num_history_vals = s->history_len;
316			}
317			// For each extremum, update history_sum and calculate smoothed value
318			// as the rolling average of the history entries.
319		✗	for (c = 0; c < 3; c++) {
320		✗	s->min[c].history_sum += (s->min[c].history[history_idx] = min[c].in);
321		✗	min[c].smoothed = s->min[c].history_sum / (float)num_history_vals;
322		✗	s->max[c].history_sum += (s->max[c].history[history_idx] = max[c].in);
323		✗	max[c].smoothed = s->max[c].history_sum / (float)num_history_vals;
324			}
325			}
326
327			// Determine the input range for linked normalization. This is simply the
328			// minimum of the per-channel minimums, and the maximum of the per-channel
329			// maximums.
330		✗	rgb_min_smoothed = FFMIN3(min[0].smoothed, min[1].smoothed, min[2].smoothed);
331		✗	rgb_max_smoothed = FFMAX3(max[0].smoothed, max[1].smoothed, max[2].smoothed);
332
333			// Now, process each channel to determine the input and output range and
334			// build the lookup tables.
335		✗	for (c = 0; c < 3; c++) {
336			int in_val;
337			// Adjust the input range for this channel [min.smoothed,max.smoothed]
338			// by mixing in the correct proportion of the linked normalization
339			// input range [rgb_min_smoothed,rgb_max_smoothed].
340		✗	min[c].smoothed = (min[c].smoothed * s->independence)
341		✗	+ (rgb_min_smoothed * (1.0f - s->independence));
342		✗	max[c].smoothed = (max[c].smoothed * s->independence)
343		✗	+ (rgb_max_smoothed * (1.0f - s->independence));
344
345			// Calculate the output range [min.out,max.out] as a ratio of the full-
346			// strength output range [blackpt,whitept] and the original input range
347			// [min.in,max.in], based on the user-specified filter strength.
348		✗	min[c].out = (s->sblackpt[c] * s->strength)
349		✗	+ (min[c].in * (1.0f - s->strength));
350		✗	max[c].out = (s->swhitept[c] * s->strength)
351		✗	+ (max[c].in * (1.0f - s->strength));
352
353			// Now, build a lookup table which linearly maps the adjusted input range
354			// [min.smoothed,max.smoothed] to the output range [min.out,max.out].
355			// Perform the linear interpolation for each x:
356			// lut[x] = (int)(float(x - min.smoothed) * scale + max.out + 0.5)
357			// where scale = (max.out - min.out) / (max.smoothed - min.smoothed)
358		✗	if (min[c].smoothed == max[c].smoothed) {
359			// There is no dynamic range to expand. No mapping for this channel.
360		✗	for (in_val = min[c].in; in_val <= max[c].in; in_val++)
361		✗	s->lut[c][in_val] = min[c].out;
362			} else {
363			// We must set lookup values for all values in the original input
364			// range [min.in,max.in]. Since the original input range may be
365			// larger than [min.smoothed,max.smoothed], some output values may
366			// fall outside the [0,255] dynamic range. We need to clamp them.
367		✗	float scale = (max[c].out - min[c].out) / (max[c].smoothed - min[c].smoothed);
368		✗	for (in_val = min[c].in; in_val <= max[c].in; in_val++) {
369		✗	int out_val = (in_val - min[c].smoothed) * scale + min[c].out + 0.5f;
370		✗	out_val = av_clip_uintp2_c(out_val, s->depth);
371		✗	s->lut[c][in_val] = out_val;
372			}
373			}
374			}
375
376			// Finally, process the pixels of the input frame using the lookup tables.
377		✗	s->process(s, in, out);
378
379		✗	s->frame_num++;
380		✗	}
381
382			// Now we define all the functions accessible from the ff_vf_normalize class,
383			// which is ffmpeg's interface to our filter. See doc/filter_design.txt and
384			// doc/writing_filters.txt for descriptions of what these interface functions
385			// are expected to do.
386
387			// The pixel formats that our filter supports. We should be able to process
388			// any 8-bit RGB formats. 16-bit support might be useful one day.
389			static const enum AVPixelFormat pixel_fmts[] = {
390			AV_PIX_FMT_RGB24,
391			AV_PIX_FMT_BGR24,
392			AV_PIX_FMT_ARGB,
393			AV_PIX_FMT_RGBA,
394			AV_PIX_FMT_ABGR,
395			AV_PIX_FMT_BGRA,
396			AV_PIX_FMT_0RGB,
397			AV_PIX_FMT_RGB0,
398			AV_PIX_FMT_0BGR,
399			AV_PIX_FMT_BGR0,
400			AV_PIX_FMT_RGB48, AV_PIX_FMT_BGR48,
401			AV_PIX_FMT_RGBA64, AV_PIX_FMT_BGRA64,
402			AV_PIX_FMT_GBRP, AV_PIX_FMT_GBRP9, AV_PIX_FMT_GBRP10,
403			AV_PIX_FMT_GBRP12, AV_PIX_FMT_GBRP14, AV_PIX_FMT_GBRP16,
404			AV_PIX_FMT_GBRAP, AV_PIX_FMT_GBRAP10, AV_PIX_FMT_GBRAP12, AV_PIX_FMT_GBRAP16,
405			AV_PIX_FMT_NONE
406			};
407
408			// At this point we know the pixel format used for both input and output. We
409			// can also access the frame rate of the input video and allocate some memory
410			// appropriately
411		✗	static int config_input(AVFilterLink *inlink)
412			{
413		✗	NormalizeContext *s = inlink->dst->priv;
414			// Store offsets to R,G,B,A bytes respectively in each pixel
415		✗	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(inlink->format);
416			int c, planar, scale;
417
418		✗	ff_fill_rgba_map(s->co, inlink->format);
419		✗	s->depth = desc->comp[0].depth;
420		✗	scale = 1 << (s->depth - 8);
421		✗	s->num_components = desc->nb_components;
422		✗	s->step = av_get_padded_bits_per_pixel(desc) >> (3 + (s->depth > 8));
423			// Convert smoothing value to history_len (a count of frames to average,
424			// must be at least 1). Currently this is a direct assignment, but the
425			// smoothing value was originally envisaged as a number of seconds. In
426			// future it would be nice to set history_len using a number of seconds,
427			// but VFR video is currently an obstacle to doing so.
428		✗	s->history_len = s->smoothing + 1;
429			// Allocate the history buffers -- there are 6 -- one for each extrema.
430			// s->smoothing is limited to INT_MAX/8, so that (s->history_len * 6)
431			// can't overflow on 32bit causing a too-small allocation.
432		✗	s->history_mem = av_malloc(s->history_len * 6 * sizeof(*s->history_mem));
433		✗	if (s->history_mem == NULL)
434		✗	return AVERROR(ENOMEM);
435
436		✗	for (c = 0; c < 3; c++) {
437		✗	s->min[c].history = s->history_mem + (c*2) * s->history_len;
438		✗	s->max[c].history = s->history_mem + (c*2+1) * s->history_len;
439		✗	s->sblackpt[c] = scale * s->blackpt[c] + (s->blackpt[c] & (1 << (s->depth - 8)));
440		✗	s->swhitept[c] = scale * s->whitept[c] + (s->whitept[c] & (1 << (s->depth - 8)));
441			}
442
443		✗	planar = desc->flags & AV_PIX_FMT_FLAG_PLANAR;
444
445		✗	if (s->depth <= 8) {
446		✗	s->find_min_max = planar ? find_min_max_planar : find_min_max;
447		✗	s->process = planar? process_planar : process;
448			} else {
449		✗	s->find_min_max = planar ? find_min_max_planar_16 : find_min_max_16;
450		✗	s->process = planar? process_planar_16 : process_16;
451			}
452
453		✗	return 0;
454			}
455
456			// Free any memory allocations here
457		✗	static av_cold void uninit(AVFilterContext *ctx)
458			{
459		✗	NormalizeContext *s = ctx->priv;
460
461		✗	av_freep(&s->history_mem);
462		✗	}
463
464			// This function is pretty much standard from doc/writing_filters.txt. It
465			// tries to do in-place filtering where possible, only allocating a new output
466			// frame when absolutely necessary.
467		✗	static int filter_frame(AVFilterLink *inlink, AVFrame *in)
468			{
469		✗	AVFilterContext *ctx = inlink->dst;
470		✗	AVFilterLink *outlink = ctx->outputs[0];
471		✗	NormalizeContext *s = ctx->priv;
472			AVFrame *out;
473			// Set 'direct' if we can modify the input frame in-place. Otherwise we
474			// need to retrieve a new frame from the output link.
475		✗	int direct = av_frame_is_writable(in) && !ctx->is_disabled;
476
477		✗	if (direct) {
478		✗	out = in;
479			} else {
480		✗	out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
481		✗	if (!out) {
482		✗	av_frame_free(&in);
483		✗	return AVERROR(ENOMEM);
484			}
485		✗	av_frame_copy_props(out, in);
486			}
487
488			// Now we've got the input and output frames (which may be the same frame)
489			// perform the filtering with our custom function.
490		✗	normalize(s, in, out);
491
492		✗	if (ctx->is_disabled) {
493		✗	av_frame_free(&out);
494		✗	return ff_filter_frame(outlink, in);
495			}
496
497		✗	if (!direct)
498		✗	av_frame_free(&in);
499
500		✗	return ff_filter_frame(outlink, out);
501			}
502
503			static const AVFilterPad inputs[] = {
504			{
505			.name = "default",
506			.type = AVMEDIA_TYPE_VIDEO,
507			.filter_frame = filter_frame,
508			.config_props = config_input,
509			},
510			};
511
512			const AVFilter ff_vf_normalize = {
513			.name = "normalize",
514			.description = NULL_IF_CONFIG_SMALL("Normalize RGB video."),
515			.priv_size = sizeof(NormalizeContext),
516			.priv_class = &normalize_class,
517			.uninit = uninit,
518			FILTER_INPUTS(inputs),
519			FILTER_OUTPUTS(ff_video_default_filterpad),
520			FILTER_PIXFMTS_ARRAY(pixel_fmts),
521			.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_INTERNAL,
522			.process_command = ff_filter_process_command,
523			};
524