FFmpeg coverage

Line	Branch	Exec	Source
1			/*
2			* Copyright (c) 2019 Guo Yejun
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			* @file
23			* implementing a generic image processing filter using deep learning networks.
24			*/
25
26			#include "libavutil/opt.h"
27			#include "libavutil/pixdesc.h"
28			#include "libavutil/avassert.h"
29			#include "libavutil/imgutils.h"
30			#include "filters.h"
31			#include "dnn_filter_common.h"
32			#include "internal.h"
33			#include "video.h"
34			#include "libswscale/swscale.h"
35			#include "libavutil/time.h"
36
37			typedef struct DnnProcessingContext {
38			const AVClass *class;
39			DnnContext dnnctx;
40			struct SwsContext *sws_uv_scale;
41			int sws_uv_height;
42			} DnnProcessingContext;
43
44			#define OFFSET(x) offsetof(DnnProcessingContext, dnnctx.x)
45			#define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
46			static const AVOption dnn_processing_options[] = {
47			{ "dnn_backend", "DNN backend", OFFSET(backend_type), AV_OPT_TYPE_INT, { .i64 = DNN_TF }, INT_MIN, INT_MAX, FLAGS, .unit = "backend" },
48			#if (CONFIG_LIBTENSORFLOW == 1)
49			{ "tensorflow", "tensorflow backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = DNN_TF }, 0, 0, FLAGS, .unit = "backend" },
50			#endif
51			#if (CONFIG_LIBOPENVINO == 1)
52			{ "openvino", "openvino backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = DNN_OV }, 0, 0, FLAGS, .unit = "backend" },
53			#endif
54			#if (CONFIG_LIBTORCH == 1)
55			{ "torch", "torch backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = DNN_TH }, 0, 0, FLAGS, "backend" },
56			#endif
57			DNN_COMMON_OPTIONS
58			{ NULL }
59			};
60
61			AVFILTER_DEFINE_CLASS(dnn_processing);
62
63		✗	static av_cold int init(AVFilterContext *context)
64			{
65		✗	DnnProcessingContext *ctx = context->priv;
66		✗	return ff_dnn_init(&ctx->dnnctx, DFT_PROCESS_FRAME, context);
67			}
68
69			static const enum AVPixelFormat pix_fmts[] = {
70			AV_PIX_FMT_RGB24, AV_PIX_FMT_BGR24,
71			AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAYF32,
72			AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P,
73			AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P,
74			AV_PIX_FMT_NV12,
75			AV_PIX_FMT_NONE
76			};
77
78			#define LOG_FORMAT_CHANNEL_MISMATCH() \
79			av_log(ctx, AV_LOG_ERROR, \
80			"the frame's format %s does not match " \
81			"the model input channel %d\n", \
82			av_get_pix_fmt_name(fmt), \
83			model_input->dims[dnn_get_channel_idx_by_layout(model_input->layout)]);
84
85		✗	static int check_modelinput_inlink(const DNNData *model_input, const AVFilterLink *inlink)
86			{
87		✗	AVFilterContext *ctx = inlink->dst;
88		✗	enum AVPixelFormat fmt = inlink->format;
89			int width_idx, height_idx;
90
91		✗	width_idx = dnn_get_width_idx_by_layout(model_input->layout);
92		✗	height_idx = dnn_get_height_idx_by_layout(model_input->layout);
93			// the design is to add explicit scale filter before this filter
94		✗	if (model_input->dims[height_idx] != -1 &&
95		✗	model_input->dims[height_idx] != inlink->h) {
96		✗	av_log(ctx, AV_LOG_ERROR, "the model requires frame height %d but got %d\n",
97		✗	model_input->dims[height_idx],
98		✗	inlink->h);
99		✗	return AVERROR(EIO);
100			}
101		✗	if (model_input->dims[width_idx] != -1 &&
102		✗	model_input->dims[width_idx] != inlink->w) {
103		✗	av_log(ctx, AV_LOG_ERROR, "the model requires frame width %d but got %d\n",
104		✗	model_input->dims[width_idx],
105		✗	inlink->w);
106		✗	return AVERROR(EIO);
107			}
108		✗	if (model_input->dt != DNN_FLOAT) {
109		✗	avpriv_report_missing_feature(ctx, "data type rather than DNN_FLOAT");
110		✗	return AVERROR(EIO);
111			}
112
113		✗	switch (fmt) {
114		✗	case AV_PIX_FMT_RGB24:
115			case AV_PIX_FMT_BGR24:
116		✗	if (model_input->dims[dnn_get_channel_idx_by_layout(model_input->layout)] != 3) {
117		✗	LOG_FORMAT_CHANNEL_MISMATCH();
118		✗	return AVERROR(EIO);
119			}
120		✗	return 0;
121		✗	case AV_PIX_FMT_GRAY8:
122			case AV_PIX_FMT_GRAYF32:
123			case AV_PIX_FMT_YUV420P:
124			case AV_PIX_FMT_YUV422P:
125			case AV_PIX_FMT_YUV444P:
126			case AV_PIX_FMT_YUV410P:
127			case AV_PIX_FMT_YUV411P:
128			case AV_PIX_FMT_NV12:
129		✗	if (model_input->dims[dnn_get_channel_idx_by_layout(model_input->layout)] != 1) {
130		✗	LOG_FORMAT_CHANNEL_MISMATCH();
131		✗	return AVERROR(EIO);
132			}
133		✗	return 0;
134		✗	default:
135		✗	avpriv_report_missing_feature(ctx, "%s", av_get_pix_fmt_name(fmt));
136		✗	return AVERROR(EIO);
137			}
138
139			return 0;
140			}
141
142		✗	static int config_input(AVFilterLink *inlink)
143			{
144		✗	AVFilterContext *context = inlink->dst;
145		✗	DnnProcessingContext *ctx = context->priv;
146			int result;
147			DNNData model_input;
148			int check;
149
150		✗	result = ff_dnn_get_input(&ctx->dnnctx, &model_input);
151		✗	if (result != 0) {
152		✗	av_log(ctx, AV_LOG_ERROR, "could not get input from the model\n");
153		✗	return result;
154			}
155
156		✗	check = check_modelinput_inlink(&model_input, inlink);
157		✗	if (check != 0) {
158		✗	return check;
159			}
160
161		✗	return 0;
162			}
163
164		✗	static av_always_inline int isPlanarYUV(enum AVPixelFormat pix_fmt)
165			{
166		✗	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(pix_fmt);
167		✗	av_assert0(desc);
168		✗	return !(desc->flags & AV_PIX_FMT_FLAG_RGB) && desc->nb_components == 3;
169			}
170
171		✗	static int prepare_uv_scale(AVFilterLink *outlink)
172			{
173		✗	AVFilterContext *context = outlink->src;
174		✗	DnnProcessingContext *ctx = context->priv;
175		✗	AVFilterLink *inlink = context->inputs[0];
176		✗	enum AVPixelFormat fmt = inlink->format;
177
178		✗	if (isPlanarYUV(fmt)) {
179		✗	if (inlink->w != outlink->w || inlink->h != outlink->h) {
180		✗	if (fmt == AV_PIX_FMT_NV12) {
181		✗	ctx->sws_uv_scale = sws_getContext(inlink->w >> 1, inlink->h >> 1, AV_PIX_FMT_YA8,
182		✗	outlink->w >> 1, outlink->h >> 1, AV_PIX_FMT_YA8,
183			SWS_BICUBIC, NULL, NULL, NULL);
184		✗	ctx->sws_uv_height = inlink->h >> 1;
185			} else {
186		✗	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(fmt);
187		✗	int sws_src_h = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
188		✗	int sws_src_w = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
189		✗	int sws_dst_h = AV_CEIL_RSHIFT(outlink->h, desc->log2_chroma_h);
190		✗	int sws_dst_w = AV_CEIL_RSHIFT(outlink->w, desc->log2_chroma_w);
191		✗	ctx->sws_uv_scale = sws_getContext(sws_src_w, sws_src_h, AV_PIX_FMT_GRAY8,
192			sws_dst_w, sws_dst_h, AV_PIX_FMT_GRAY8,
193			SWS_BICUBIC, NULL, NULL, NULL);
194		✗	ctx->sws_uv_height = sws_src_h;
195			}
196			}
197			}
198
199		✗	return 0;
200			}
201
202		✗	static int config_output(AVFilterLink *outlink)
203			{
204		✗	AVFilterContext *context = outlink->src;
205		✗	DnnProcessingContext *ctx = context->priv;
206			int result;
207		✗	AVFilterLink *inlink = context->inputs[0];
208
209			// have a try run in case that the dnn model resize the frame
210		✗	result = ff_dnn_get_output(&ctx->dnnctx, inlink->w, inlink->h, &outlink->w, &outlink->h);
211		✗	if (result != 0) {
212		✗	av_log(ctx, AV_LOG_ERROR, "could not get output from the model\n");
213		✗	return result;
214			}
215
216		✗	prepare_uv_scale(outlink);
217
218		✗	return 0;
219			}
220
221		✗	static int copy_uv_planes(DnnProcessingContext *ctx, AVFrame *out, const AVFrame *in)
222			{
223			const AVPixFmtDescriptor *desc;
224			int uv_height;
225
226		✗	if (!ctx->sws_uv_scale) {
227		✗	av_assert0(in->height == out->height && in->width == out->width);
228		✗	desc = av_pix_fmt_desc_get(in->format);
229		✗	uv_height = AV_CEIL_RSHIFT(in->height, desc->log2_chroma_h);
230		✗	for (int i = 1; i < 3; ++i) {
231		✗	int bytewidth = av_image_get_linesize(in->format, in->width, i);
232		✗	if (bytewidth < 0) {
233		✗	return AVERROR(EINVAL);
234			}
235		✗	av_image_copy_plane(out->data[i], out->linesize[i],
236		✗	in->data[i], in->linesize[i],
237			bytewidth, uv_height);
238			}
239		✗	} else if (in->format == AV_PIX_FMT_NV12) {
240		✗	sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 1), in->linesize + 1,
241		✗	0, ctx->sws_uv_height, out->data + 1, out->linesize + 1);
242			} else {
243		✗	sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 1), in->linesize + 1,
244		✗	0, ctx->sws_uv_height, out->data + 1, out->linesize + 1);
245		✗	sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 2), in->linesize + 2,
246		✗	0, ctx->sws_uv_height, out->data + 2, out->linesize + 2);
247			}
248
249		✗	return 0;
250			}
251
252		✗	static int flush_frame(AVFilterLink *outlink, int64_t pts, int64_t *out_pts)
253			{
254		✗	DnnProcessingContext *ctx = outlink->src->priv;
255			int ret;
256			DNNAsyncStatusType async_state;
257
258		✗	ret = ff_dnn_flush(&ctx->dnnctx);
259		✗	if (ret != 0) {
260		✗	return -1;
261			}
262
263			do {
264		✗	AVFrame *in_frame = NULL;
265		✗	AVFrame *out_frame = NULL;
266		✗	async_state = ff_dnn_get_result(&ctx->dnnctx, &in_frame, &out_frame);
267		✗	if (out_frame) {
268		✗	if (isPlanarYUV(in_frame->format))
269		✗	copy_uv_planes(ctx, out_frame, in_frame);
270		✗	av_frame_free(&in_frame);
271		✗	ret = ff_filter_frame(outlink, out_frame);
272		✗	if (ret < 0)
273		✗	return ret;
274		✗	if (out_pts)
275		✗	*out_pts = out_frame->pts + pts;
276			}
277		✗	av_usleep(5000);
278		✗	} while (async_state >= DAST_NOT_READY);
279
280		✗	return 0;
281			}
282
283		✗	static int activate(AVFilterContext *filter_ctx)
284			{
285		✗	AVFilterLink *inlink = filter_ctx->inputs[0];
286		✗	AVFilterLink *outlink = filter_ctx->outputs[0];
287		✗	DnnProcessingContext *ctx = filter_ctx->priv;
288		✗	AVFrame *in = NULL, *out = NULL;
289			int64_t pts;
290			int ret, status;
291		✗	int got_frame = 0;
292			int async_state;
293
294		✗	FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);
295
296			do {
297			// drain all input frames
298		✗	ret = ff_inlink_consume_frame(inlink, &in);
299		✗	if (ret < 0)
300		✗	return ret;
301		✗	if (ret > 0) {
302		✗	out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
303		✗	if (!out) {
304		✗	av_frame_free(&in);
305		✗	return AVERROR(ENOMEM);
306			}
307		✗	av_frame_copy_props(out, in);
308		✗	if (ff_dnn_execute_model(&ctx->dnnctx, in, out) != 0) {
309		✗	return AVERROR(EIO);
310			}
311			}
312		✗	} while (ret > 0);
313
314			// drain all processed frames
315			do {
316		✗	AVFrame *in_frame = NULL;
317		✗	AVFrame *out_frame = NULL;
318		✗	async_state = ff_dnn_get_result(&ctx->dnnctx, &in_frame, &out_frame);
319		✗	if (out_frame) {
320		✗	if (isPlanarYUV(in_frame->format))
321		✗	copy_uv_planes(ctx, out_frame, in_frame);
322		✗	av_frame_free(&in_frame);
323		✗	ret = ff_filter_frame(outlink, out_frame);
324		✗	if (ret < 0)
325		✗	return ret;
326		✗	got_frame = 1;
327			}
328		✗	} while (async_state == DAST_SUCCESS);
329
330			// if frame got, schedule to next filter
331		✗	if (got_frame)
332		✗	return 0;
333
334		✗	if (ff_inlink_acknowledge_status(inlink, &status, &pts)) {
335		✗	if (status == AVERROR_EOF) {
336		✗	int64_t out_pts = pts;
337		✗	ret = flush_frame(outlink, pts, &out_pts);
338		✗	ff_outlink_set_status(outlink, status, out_pts);
339		✗	return ret;
340			}
341			}
342
343		✗	FF_FILTER_FORWARD_WANTED(outlink, inlink);
344
345		✗	return 0;
346			}
347
348		✗	static av_cold void uninit(AVFilterContext *ctx)
349			{
350		✗	DnnProcessingContext *context = ctx->priv;
351
352		✗	sws_freeContext(context->sws_uv_scale);
353		✗	ff_dnn_uninit(&context->dnnctx);
354		✗	}
355
356			static const AVFilterPad dnn_processing_inputs[] = {
357			{
358			.name = "default",
359			.type = AVMEDIA_TYPE_VIDEO,
360			.config_props = config_input,
361			},
362			};
363
364			static const AVFilterPad dnn_processing_outputs[] = {
365			{
366			.name = "default",
367			.type = AVMEDIA_TYPE_VIDEO,
368			.config_props = config_output,
369			},
370			};
371
372			const AVFilter ff_vf_dnn_processing = {
373			.name = "dnn_processing",
374			.description = NULL_IF_CONFIG_SMALL("Apply DNN processing filter to the input."),
375			.priv_size = sizeof(DnnProcessingContext),
376			.init = init,
377			.uninit = uninit,
378			FILTER_INPUTS(dnn_processing_inputs),
379			FILTER_OUTPUTS(dnn_processing_outputs),
380			FILTER_PIXFMTS_ARRAY(pix_fmts),
381			.priv_class = &dnn_processing_class,
382			.activate = activate,
383			};
384