libavfilter/vf_dnn_processing.c - manifest_repos/ffmpeg - Git at Google

 /*
  * Copyright (c) 2019 Guo Yejun
  *
  * This file is part of FFmpeg.
  *
  * FFmpeg is free software; you can redistribute it and/or
  * modify it under the terms of the GNU Lesser General Public
  * License as published by the Free Software Foundation; either
  * version 2.1 of the License, or (at your option) any later version.
  *
  * FFmpeg is distributed in the hope that it will be useful,
  * but WITHOUT ANY WARRANTY; without even the implied warranty of
  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
  * Lesser General Public License for more details.
  *
  * You should have received a copy of the GNU Lesser General Public
  * License along with FFmpeg; if not, write to the Free Software
  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
  */

 /**
  * @file
  * implementing a generic image processing filter using deep learning networks.
  */

 #include "libavformat/avio.h"
 #include "libavutil/opt.h"
 #include "libavutil/pixdesc.h"
 #include "libavutil/avassert.h"
 #include "libavutil/imgutils.h"
 #include "filters.h"
 #include "dnn_filter_common.h"
 #include "formats.h"
 #include "internal.h"
 #include "libswscale/swscale.h"
 #include "libavutil/time.h"

 typedef struct DnnProcessingContext {
     const AVClass *class;
     DnnContext dnnctx;
     struct SwsContext *sws_uv_scale;
     int sws_uv_height;
 } DnnProcessingContext;

 #define OFFSET(x) offsetof(DnnProcessingContext, dnnctx.x)
 #define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
 static const AVOption dnn_processing_options[] = {
     { "dnn_backend", "DNN backend",                OFFSET(backend_type),     AV_OPT_TYPE_INT,       { .i64 = 0 },    INT_MIN, INT_MAX, FLAGS, "backend" },
     { "native",      "native backend flag",        0,                        AV_OPT_TYPE_CONST,     { .i64 = 0 },    0, 0, FLAGS, "backend" },
 #if (CONFIG_LIBTENSORFLOW == 1)
     { "tensorflow",  "tensorflow backend flag",    0,                        AV_OPT_TYPE_CONST,     { .i64 = 1 },    0, 0, FLAGS, "backend" },
 #endif
 #if (CONFIG_LIBOPENVINO == 1)
     { "openvino",    "openvino backend flag",      0,                        AV_OPT_TYPE_CONST,     { .i64 = 2 },    0, 0, FLAGS, "backend" },
 #endif
     DNN_COMMON_OPTIONS
     { NULL }
 };

 AVFILTER_DEFINE_CLASS(dnn_processing);

 static av_cold int init(AVFilterContext *context)
 {
     DnnProcessingContext *ctx = context->priv;
     return ff_dnn_init(&ctx->dnnctx, DFT_PROCESS_FRAME, context);
 }

 static int query_formats(AVFilterContext *context)
 {
     static const enum AVPixelFormat pix_fmts[] = {
         AV_PIX_FMT_RGB24, AV_PIX_FMT_BGR24,
         AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAYF32,
         AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P,
         AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P,
         AV_PIX_FMT_NV12,
         AV_PIX_FMT_NONE
     };
     AVFilterFormats *fmts_list = ff_make_format_list(pix_fmts);
     return ff_set_common_formats(context, fmts_list);
 }

 #define LOG_FORMAT_CHANNEL_MISMATCH()                       \
     av_log(ctx, AV_LOG_ERROR,                               \
            "the frame's format %s does not match "          \
            "the model input channel %d\n",                  \
            av_get_pix_fmt_name(fmt),                        \
            model_input->channels);

 static int check_modelinput_inlink(const DNNData *model_input, const AVFilterLink *inlink)
 {
     AVFilterContext *ctx   = inlink->dst;
     enum AVPixelFormat fmt = inlink->format;

     // the design is to add explicit scale filter before this filter
     if (model_input->height != -1 && model_input->height != inlink->h) {
         av_log(ctx, AV_LOG_ERROR, "the model requires frame height %d but got %d\n",
                                    model_input->height, inlink->h);
         return AVERROR(EIO);
     }
     if (model_input->width != -1 && model_input->width != inlink->w) {
         av_log(ctx, AV_LOG_ERROR, "the model requires frame width %d but got %d\n",
                                    model_input->width, inlink->w);
         return AVERROR(EIO);
     }
     if (model_input->dt != DNN_FLOAT) {
         avpriv_report_missing_feature(ctx, "data type rather than DNN_FLOAT");
         return AVERROR(EIO);
     }

     switch (fmt) {
     case AV_PIX_FMT_RGB24:
     case AV_PIX_FMT_BGR24:
         if (model_input->channels != 3) {
             LOG_FORMAT_CHANNEL_MISMATCH();
             return AVERROR(EIO);
         }
         return 0;
     case AV_PIX_FMT_GRAYF32:
     case AV_PIX_FMT_YUV420P:
     case AV_PIX_FMT_YUV422P:
     case AV_PIX_FMT_YUV444P:
     case AV_PIX_FMT_YUV410P:
     case AV_PIX_FMT_YUV411P:
     case AV_PIX_FMT_NV12:
         if (model_input->channels != 1) {
             LOG_FORMAT_CHANNEL_MISMATCH();
             return AVERROR(EIO);
         }
         return 0;
     default:
         avpriv_report_missing_feature(ctx, "%s", av_get_pix_fmt_name(fmt));
         return AVERROR(EIO);
     }

     return 0;
 }

 static int config_input(AVFilterLink *inlink)
 {
     AVFilterContext *context     = inlink->dst;
     DnnProcessingContext *ctx = context->priv;
     DNNReturnType result;
     DNNData model_input;
     int check;

     result = ff_dnn_get_input(&ctx->dnnctx, &model_input);
     if (result != DNN_SUCCESS) {
         av_log(ctx, AV_LOG_ERROR, "could not get input from the model\n");
         return AVERROR(EIO);
     }

     check = check_modelinput_inlink(&model_input, inlink);
     if (check != 0) {
         return check;
     }

     return 0;
 }

 static av_always_inline int isPlanarYUV(enum AVPixelFormat pix_fmt)
 {
     const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(pix_fmt);
     av_assert0(desc);
     return !(desc->flags & AV_PIX_FMT_FLAG_RGB) && desc->nb_components == 3;
 }

 static int prepare_uv_scale(AVFilterLink *outlink)
 {
     AVFilterContext *context = outlink->src;
     DnnProcessingContext *ctx = context->priv;
     AVFilterLink *inlink = context->inputs[0];
     enum AVPixelFormat fmt = inlink->format;

     if (isPlanarYUV(fmt)) {
         if (inlink->w != outlink->w || inlink->h != outlink->h) {
             if (fmt == AV_PIX_FMT_NV12) {
                 ctx->sws_uv_scale = sws_getContext(inlink->w >> 1, inlink->h >> 1, AV_PIX_FMT_YA8,
                                                    outlink->w >> 1, outlink->h >> 1, AV_PIX_FMT_YA8,
                                                    SWS_BICUBIC, NULL, NULL, NULL);
                 ctx->sws_uv_height = inlink->h >> 1;
             } else {
                 const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(fmt);
                 int sws_src_h = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
                 int sws_src_w = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
                 int sws_dst_h = AV_CEIL_RSHIFT(outlink->h, desc->log2_chroma_h);
                 int sws_dst_w = AV_CEIL_RSHIFT(outlink->w, desc->log2_chroma_w);
                 ctx->sws_uv_scale = sws_getContext(sws_src_w, sws_src_h, AV_PIX_FMT_GRAY8,
                                                    sws_dst_w, sws_dst_h, AV_PIX_FMT_GRAY8,
                                                    SWS_BICUBIC, NULL, NULL, NULL);
                 ctx->sws_uv_height = sws_src_h;
             }
         }
     }

     return 0;
 }

 static int config_output(AVFilterLink *outlink)
 {
     AVFilterContext *context = outlink->src;
     DnnProcessingContext *ctx = context->priv;
     DNNReturnType result;
     AVFilterLink *inlink = context->inputs[0];

     // have a try run in case that the dnn model resize the frame
     result = ff_dnn_get_output(&ctx->dnnctx, inlink->w, inlink->h, &outlink->w, &outlink->h);
     if (result != DNN_SUCCESS) {
         av_log(ctx, AV_LOG_ERROR, "could not get output from the model\n");
         return AVERROR(EIO);
     }

     prepare_uv_scale(outlink);

     return 0;
 }

 static int copy_uv_planes(DnnProcessingContext *ctx, AVFrame *out, const AVFrame *in)
 {
     const AVPixFmtDescriptor *desc;
     int uv_height;

     if (!ctx->sws_uv_scale) {
         av_assert0(in->height == out->height && in->width == out->width);
         desc = av_pix_fmt_desc_get(in->format);
         uv_height = AV_CEIL_RSHIFT(in->height, desc->log2_chroma_h);
         for (int i = 1; i < 3; ++i) {
             int bytewidth = av_image_get_linesize(in->format, in->width, i);
             av_image_copy_plane(out->data[i], out->linesize[i],
                                 in->data[i], in->linesize[i],
                                 bytewidth, uv_height);
         }
     } else if (in->format == AV_PIX_FMT_NV12) {
         sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 1), in->linesize + 1,
                   0, ctx->sws_uv_height, out->data + 1, out->linesize + 1);
     } else {
         sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 1), in->linesize + 1,
                   0, ctx->sws_uv_height, out->data + 1, out->linesize + 1);
         sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 2), in->linesize + 2,
                   0, ctx->sws_uv_height, out->data + 2, out->linesize + 2);
     }

     return 0;
 }

 static int filter_frame(AVFilterLink *inlink, AVFrame *in)
 {
     AVFilterContext *context  = inlink->dst;
     AVFilterLink *outlink = context->outputs[0];
     DnnProcessingContext *ctx = context->priv;
     DNNReturnType dnn_result;
     AVFrame *out;

     out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
     if (!out) {
         av_frame_free(&in);
         return AVERROR(ENOMEM);
     }
     av_frame_copy_props(out, in);

     dnn_result = ff_dnn_execute_model(&ctx->dnnctx, in, out);
     if (dnn_result != DNN_SUCCESS){
         av_log(ctx, AV_LOG_ERROR, "failed to execute model\n");
         av_frame_free(&in);
         av_frame_free(&out);
         return AVERROR(EIO);
     }

     if (isPlanarYUV(in->format))
         copy_uv_planes(ctx, out, in);

     av_frame_free(&in);
     return ff_filter_frame(outlink, out);
 }

 static int activate_sync(AVFilterContext *filter_ctx)
 {
     AVFilterLink *inlink = filter_ctx->inputs[0];
     AVFilterLink *outlink = filter_ctx->outputs[0];
     AVFrame *in = NULL;
     int64_t pts;
     int ret, status;
     int got_frame = 0;

     FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);

     do {
         // drain all input frames
         ret = ff_inlink_consume_frame(inlink, &in);
         if (ret < 0)
             return ret;
         if (ret > 0) {
             ret = filter_frame(inlink, in);
             if (ret < 0)
                 return ret;
             got_frame = 1;
         }
     } while (ret > 0);

     // if frame got, schedule to next filter
     if (got_frame)
         return 0;

     if (ff_inlink_acknowledge_status(inlink, &status, &pts)) {
         if (status == AVERROR_EOF) {
             ff_outlink_set_status(outlink, status, pts);
             return ret;
         }
     }

     FF_FILTER_FORWARD_WANTED(outlink, inlink);

     return FFERROR_NOT_READY;
 }

 static int flush_frame(AVFilterLink *outlink, int64_t pts, int64_t *out_pts)
 {
     DnnProcessingContext *ctx = outlink->src->priv;
     int ret;
     DNNAsyncStatusType async_state;

     ret = ff_dnn_flush(&ctx->dnnctx);
     if (ret != DNN_SUCCESS) {
         return -1;
     }

     do {
         AVFrame *in_frame = NULL;
         AVFrame *out_frame = NULL;
         async_state = ff_dnn_get_async_result(&ctx->dnnctx, &in_frame, &out_frame);
         if (out_frame) {
             if (isPlanarYUV(in_frame->format))
                 copy_uv_planes(ctx, out_frame, in_frame);
             av_frame_free(&in_frame);
             ret = ff_filter_frame(outlink, out_frame);
             if (ret < 0)
                 return ret;
             if (out_pts)
                 *out_pts = out_frame->pts + pts;
         }
         av_usleep(5000);
     } while (async_state >= DAST_NOT_READY);

     return 0;
 }

 static int activate_async(AVFilterContext *filter_ctx)
 {
     AVFilterLink *inlink = filter_ctx->inputs[0];
     AVFilterLink *outlink = filter_ctx->outputs[0];
     DnnProcessingContext *ctx = filter_ctx->priv;
     AVFrame *in = NULL, *out = NULL;
     int64_t pts;
     int ret, status;
     int got_frame = 0;
     int async_state;

     FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);

     do {
         // drain all input frames
         ret = ff_inlink_consume_frame(inlink, &in);
         if (ret < 0)
             return ret;
         if (ret > 0) {
             out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
             if (!out) {
                 av_frame_free(&in);
                 return AVERROR(ENOMEM);
             }
             av_frame_copy_props(out, in);
             if (ff_dnn_execute_model_async(&ctx->dnnctx, in, out) != DNN_SUCCESS) {
                 return AVERROR(EIO);
             }
         }
     } while (ret > 0);

     // drain all processed frames
     do {
         AVFrame *in_frame = NULL;
         AVFrame *out_frame = NULL;
         async_state = ff_dnn_get_async_result(&ctx->dnnctx, &in_frame, &out_frame);
         if (out_frame) {
             if (isPlanarYUV(in_frame->format))
                 copy_uv_planes(ctx, out_frame, in_frame);
             av_frame_free(&in_frame);
             ret = ff_filter_frame(outlink, out_frame);
             if (ret < 0)
                 return ret;
             got_frame = 1;
         }
     } while (async_state == DAST_SUCCESS);

     // if frame got, schedule to next filter
     if (got_frame)
         return 0;

     if (ff_inlink_acknowledge_status(inlink, &status, &pts)) {
         if (status == AVERROR_EOF) {
             int64_t out_pts = pts;
             ret = flush_frame(outlink, pts, &out_pts);
             ff_outlink_set_status(outlink, status, out_pts);
             return ret;
         }
     }

     FF_FILTER_FORWARD_WANTED(outlink, inlink);

     return 0;
 }

 static int activate(AVFilterContext *filter_ctx)
 {
     DnnProcessingContext *ctx = filter_ctx->priv;

     if (ctx->dnnctx.async)
         return activate_async(filter_ctx);
     else
         return activate_sync(filter_ctx);
 }

 static av_cold void uninit(AVFilterContext *ctx)
 {
     DnnProcessingContext *context = ctx->priv;

     sws_freeContext(context->sws_uv_scale);
     ff_dnn_uninit(&context->dnnctx);
 }

 static const AVFilterPad dnn_processing_inputs[] = {
     {
         .name         = "default",
         .type         = AVMEDIA_TYPE_VIDEO,
         .config_props = config_input,
     },
     { NULL }
 };

 static const AVFilterPad dnn_processing_outputs[] = {
     {
         .name = "default",
         .type = AVMEDIA_TYPE_VIDEO,
         .config_props  = config_output,
     },
     { NULL }
 };

 AVFilter ff_vf_dnn_processing = {
     .name          = "dnn_processing",
     .description   = NULL_IF_CONFIG_SMALL("Apply DNN processing filter to the input."),
     .priv_size     = sizeof(DnnProcessingContext),
     .init          = init,
     .uninit        = uninit,
     .query_formats = query_formats,
     .inputs        = dnn_processing_inputs,
     .outputs       = dnn_processing_outputs,
     .priv_class    = &dnn_processing_class,
     .activate      = activate,
 };
	/*
	* Copyright (c) 2019 Guo Yejun
	*
	* This file is part of FFmpeg.
	*
	* FFmpeg is free software; you can redistribute it and/or
	* modify it under the terms of the GNU Lesser General Public
	* License as published by the Free Software Foundation; either
	* version 2.1 of the License, or (at your option) any later version.
	*
	* FFmpeg is distributed in the hope that it will be useful,
	* but WITHOUT ANY WARRANTY; without even the implied warranty of
	* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
	* Lesser General Public License for more details.
	*
	* You should have received a copy of the GNU Lesser General Public
	* License along with FFmpeg; if not, write to the Free Software
	* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
	*/

	/**
	* @file
	* implementing a generic image processing filter using deep learning networks.
	*/

	#include "libavformat/avio.h"
	#include "libavutil/opt.h"
	#include "libavutil/pixdesc.h"
	#include "libavutil/avassert.h"
	#include "libavutil/imgutils.h"
	#include "filters.h"
	#include "dnn_filter_common.h"
	#include "formats.h"
	#include "internal.h"
	#include "libswscale/swscale.h"
	#include "libavutil/time.h"

	typedef struct DnnProcessingContext {
	const AVClass *class;
	DnnContext dnnctx;
	struct SwsContext *sws_uv_scale;
	int sws_uv_height;
	} DnnProcessingContext;

	#define OFFSET(x) offsetof(DnnProcessingContext, dnnctx.x)
	#define FLAGS AV_OPT_FLAG_FILTERING_PARAM \| AV_OPT_FLAG_VIDEO_PARAM
	static const AVOption dnn_processing_options[] = {
	{ "dnn_backend", "DNN backend", OFFSET(backend_type), AV_OPT_TYPE_INT, { .i64 = 0 }, INT_MIN, INT_MAX, FLAGS, "backend" },
	{ "native", "native backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 0 }, 0, 0, FLAGS, "backend" },
	#if (CONFIG_LIBTENSORFLOW == 1)
	{ "tensorflow", "tensorflow backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, "backend" },
	#endif
	#if (CONFIG_LIBOPENVINO == 1)
	{ "openvino", "openvino backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 2 }, 0, 0, FLAGS, "backend" },
	#endif
	DNN_COMMON_OPTIONS
	{ NULL }
	};

	AVFILTER_DEFINE_CLASS(dnn_processing);

	static av_cold int init(AVFilterContext *context)
	{
	DnnProcessingContext *ctx = context->priv;
	return ff_dnn_init(&ctx->dnnctx, DFT_PROCESS_FRAME, context);
	}

	static int query_formats(AVFilterContext *context)
	{
	static const enum AVPixelFormat pix_fmts[] = {
	AV_PIX_FMT_RGB24, AV_PIX_FMT_BGR24,
	AV_PIX_FMT_GRAY8, AV_PIX_FMT_GRAYF32,
	AV_PIX_FMT_YUV420P, AV_PIX_FMT_YUV422P,
	AV_PIX_FMT_YUV444P, AV_PIX_FMT_YUV410P, AV_PIX_FMT_YUV411P,
	AV_PIX_FMT_NV12,
	AV_PIX_FMT_NONE
	};
	AVFilterFormats *fmts_list = ff_make_format_list(pix_fmts);
	return ff_set_common_formats(context, fmts_list);
	}

	#define LOG_FORMAT_CHANNEL_MISMATCH() \
	av_log(ctx, AV_LOG_ERROR, \
	"the frame's format %s does not match " \
	"the model input channel %d\n", \
	av_get_pix_fmt_name(fmt), \
	model_input->channels);

	static int check_modelinput_inlink(const DNNData model_input, const AVFilterLink inlink)
	{
	AVFilterContext *ctx = inlink->dst;
	enum AVPixelFormat fmt = inlink->format;

	// the design is to add explicit scale filter before this filter
	if (model_input->height != -1 && model_input->height != inlink->h) {
	av_log(ctx, AV_LOG_ERROR, "the model requires frame height %d but got %d\n",
	model_input->height, inlink->h);
	return AVERROR(EIO);
	}
	if (model_input->width != -1 && model_input->width != inlink->w) {
	av_log(ctx, AV_LOG_ERROR, "the model requires frame width %d but got %d\n",
	model_input->width, inlink->w);
	return AVERROR(EIO);
	}
	if (model_input->dt != DNN_FLOAT) {
	avpriv_report_missing_feature(ctx, "data type rather than DNN_FLOAT");
	return AVERROR(EIO);
	}

	switch (fmt) {
	case AV_PIX_FMT_RGB24:
	case AV_PIX_FMT_BGR24:
	if (model_input->channels != 3) {
	LOG_FORMAT_CHANNEL_MISMATCH();
	return AVERROR(EIO);
	}
	return 0;
	case AV_PIX_FMT_GRAYF32:
	case AV_PIX_FMT_YUV420P:
	case AV_PIX_FMT_YUV422P:
	case AV_PIX_FMT_YUV444P:
	case AV_PIX_FMT_YUV410P:
	case AV_PIX_FMT_YUV411P:
	case AV_PIX_FMT_NV12:
	if (model_input->channels != 1) {
	LOG_FORMAT_CHANNEL_MISMATCH();
	return AVERROR(EIO);
	}
	return 0;
	default:
	avpriv_report_missing_feature(ctx, "%s", av_get_pix_fmt_name(fmt));
	return AVERROR(EIO);
	}

	return 0;
	}

	static int config_input(AVFilterLink *inlink)
	{
	AVFilterContext *context = inlink->dst;
	DnnProcessingContext *ctx = context->priv;
	DNNReturnType result;
	DNNData model_input;
	int check;

	result = ff_dnn_get_input(&ctx->dnnctx, &model_input);
	if (result != DNN_SUCCESS) {
	av_log(ctx, AV_LOG_ERROR, "could not get input from the model\n");
	return AVERROR(EIO);
	}

	check = check_modelinput_inlink(&model_input, inlink);
	if (check != 0) {
	return check;
	}

	return 0;
	}

	static av_always_inline int isPlanarYUV(enum AVPixelFormat pix_fmt)
	{
	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(pix_fmt);
	av_assert0(desc);
	return !(desc->flags & AV_PIX_FMT_FLAG_RGB) && desc->nb_components == 3;
	}

	static int prepare_uv_scale(AVFilterLink *outlink)
	{
	AVFilterContext *context = outlink->src;
	DnnProcessingContext *ctx = context->priv;
	AVFilterLink *inlink = context->inputs[0];
	enum AVPixelFormat fmt = inlink->format;

	if (isPlanarYUV(fmt)) {
	if (inlink->w != outlink->w \|\| inlink->h != outlink->h) {
	if (fmt == AV_PIX_FMT_NV12) {
	ctx->sws_uv_scale = sws_getContext(inlink->w >> 1, inlink->h >> 1, AV_PIX_FMT_YA8,
	outlink->w >> 1, outlink->h >> 1, AV_PIX_FMT_YA8,
	SWS_BICUBIC, NULL, NULL, NULL);
	ctx->sws_uv_height = inlink->h >> 1;
	} else {
	const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(fmt);
	int sws_src_h = AV_CEIL_RSHIFT(inlink->h, desc->log2_chroma_h);
	int sws_src_w = AV_CEIL_RSHIFT(inlink->w, desc->log2_chroma_w);
	int sws_dst_h = AV_CEIL_RSHIFT(outlink->h, desc->log2_chroma_h);
	int sws_dst_w = AV_CEIL_RSHIFT(outlink->w, desc->log2_chroma_w);
	ctx->sws_uv_scale = sws_getContext(sws_src_w, sws_src_h, AV_PIX_FMT_GRAY8,
	sws_dst_w, sws_dst_h, AV_PIX_FMT_GRAY8,
	SWS_BICUBIC, NULL, NULL, NULL);
	ctx->sws_uv_height = sws_src_h;
	}
	}
	}

	return 0;
	}

	static int config_output(AVFilterLink *outlink)
	{
	AVFilterContext *context = outlink->src;
	DnnProcessingContext *ctx = context->priv;
	DNNReturnType result;
	AVFilterLink *inlink = context->inputs[0];

	// have a try run in case that the dnn model resize the frame
	result = ff_dnn_get_output(&ctx->dnnctx, inlink->w, inlink->h, &outlink->w, &outlink->h);
	if (result != DNN_SUCCESS) {
	av_log(ctx, AV_LOG_ERROR, "could not get output from the model\n");
	return AVERROR(EIO);
	}

	prepare_uv_scale(outlink);

	return 0;
	}

	static int copy_uv_planes(DnnProcessingContext ctx, AVFrame out, const AVFrame *in)
	{
	const AVPixFmtDescriptor *desc;
	int uv_height;

	if (!ctx->sws_uv_scale) {
	av_assert0(in->height == out->height && in->width == out->width);
	desc = av_pix_fmt_desc_get(in->format);
	uv_height = AV_CEIL_RSHIFT(in->height, desc->log2_chroma_h);
	for (int i = 1; i < 3; ++i) {
	int bytewidth = av_image_get_linesize(in->format, in->width, i);
	av_image_copy_plane(out->data[i], out->linesize[i],
	in->data[i], in->linesize[i],
	bytewidth, uv_height);
	}
	} else if (in->format == AV_PIX_FMT_NV12) {
	sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 1), in->linesize + 1,
	0, ctx->sws_uv_height, out->data + 1, out->linesize + 1);
	} else {
	sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 1), in->linesize + 1,
	0, ctx->sws_uv_height, out->data + 1, out->linesize + 1);
	sws_scale(ctx->sws_uv_scale, (const uint8_t **)(in->data + 2), in->linesize + 2,
	0, ctx->sws_uv_height, out->data + 2, out->linesize + 2);
	}

	return 0;
	}

	static int filter_frame(AVFilterLink inlink, AVFrame in)
	{
	AVFilterContext *context = inlink->dst;
	AVFilterLink *outlink = context->outputs[0];
	DnnProcessingContext *ctx = context->priv;
	DNNReturnType dnn_result;
	AVFrame *out;

	out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
	if (!out) {
	av_frame_free(&in);
	return AVERROR(ENOMEM);
	}
	av_frame_copy_props(out, in);

	dnn_result = ff_dnn_execute_model(&ctx->dnnctx, in, out);
	if (dnn_result != DNN_SUCCESS){
	av_log(ctx, AV_LOG_ERROR, "failed to execute model\n");
	av_frame_free(&in);
	av_frame_free(&out);
	return AVERROR(EIO);
	}

	if (isPlanarYUV(in->format))
	copy_uv_planes(ctx, out, in);

	av_frame_free(&in);
	return ff_filter_frame(outlink, out);
	}

	static int activate_sync(AVFilterContext *filter_ctx)
	{
	AVFilterLink *inlink = filter_ctx->inputs[0];
	AVFilterLink *outlink = filter_ctx->outputs[0];
	AVFrame *in = NULL;
	int64_t pts;
	int ret, status;
	int got_frame = 0;

	FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);

	do {
	// drain all input frames
	ret = ff_inlink_consume_frame(inlink, &in);
	if (ret < 0)
	return ret;
	if (ret > 0) {
	ret = filter_frame(inlink, in);
	if (ret < 0)
	return ret;
	got_frame = 1;
	}
	} while (ret > 0);

	// if frame got, schedule to next filter
	if (got_frame)
	return 0;

	if (ff_inlink_acknowledge_status(inlink, &status, &pts)) {
	if (status == AVERROR_EOF) {
	ff_outlink_set_status(outlink, status, pts);
	return ret;
	}
	}

	FF_FILTER_FORWARD_WANTED(outlink, inlink);

	return FFERROR_NOT_READY;
	}

	static int flush_frame(AVFilterLink outlink, int64_t pts, int64_t out_pts)
	{
	DnnProcessingContext *ctx = outlink->src->priv;
	int ret;
	DNNAsyncStatusType async_state;

	ret = ff_dnn_flush(&ctx->dnnctx);
	if (ret != DNN_SUCCESS) {
	return -1;
	}

	do {
	AVFrame *in_frame = NULL;
	AVFrame *out_frame = NULL;
	async_state = ff_dnn_get_async_result(&ctx->dnnctx, &in_frame, &out_frame);
	if (out_frame) {
	if (isPlanarYUV(in_frame->format))
	copy_uv_planes(ctx, out_frame, in_frame);
	av_frame_free(&in_frame);
	ret = ff_filter_frame(outlink, out_frame);
	if (ret < 0)
	return ret;
	if (out_pts)
	*out_pts = out_frame->pts + pts;
	}
	av_usleep(5000);
	} while (async_state >= DAST_NOT_READY);

	return 0;
	}

	static int activate_async(AVFilterContext *filter_ctx)
	{
	AVFilterLink *inlink = filter_ctx->inputs[0];
	AVFilterLink *outlink = filter_ctx->outputs[0];
	DnnProcessingContext *ctx = filter_ctx->priv;
	AVFrame in = NULL, out = NULL;
	int64_t pts;
	int ret, status;
	int got_frame = 0;
	int async_state;

	FF_FILTER_FORWARD_STATUS_BACK(outlink, inlink);

	do {
	// drain all input frames
	ret = ff_inlink_consume_frame(inlink, &in);
	if (ret < 0)
	return ret;
	if (ret > 0) {
	out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
	if (!out) {
	av_frame_free(&in);
	return AVERROR(ENOMEM);
	}
	av_frame_copy_props(out, in);
	if (ff_dnn_execute_model_async(&ctx->dnnctx, in, out) != DNN_SUCCESS) {
	return AVERROR(EIO);
	}
	}
	} while (ret > 0);

	// drain all processed frames
	do {
	AVFrame *in_frame = NULL;
	AVFrame *out_frame = NULL;
	async_state = ff_dnn_get_async_result(&ctx->dnnctx, &in_frame, &out_frame);
	if (out_frame) {
	if (isPlanarYUV(in_frame->format))
	copy_uv_planes(ctx, out_frame, in_frame);
	av_frame_free(&in_frame);
	ret = ff_filter_frame(outlink, out_frame);
	if (ret < 0)
	return ret;
	got_frame = 1;
	}
	} while (async_state == DAST_SUCCESS);

	// if frame got, schedule to next filter
	if (got_frame)
	return 0;

	if (ff_inlink_acknowledge_status(inlink, &status, &pts)) {
	if (status == AVERROR_EOF) {
	int64_t out_pts = pts;
	ret = flush_frame(outlink, pts, &out_pts);
	ff_outlink_set_status(outlink, status, out_pts);
	return ret;
	}
	}

	FF_FILTER_FORWARD_WANTED(outlink, inlink);

	return 0;
	}

	static int activate(AVFilterContext *filter_ctx)
	{
	DnnProcessingContext *ctx = filter_ctx->priv;

	if (ctx->dnnctx.async)
	return activate_async(filter_ctx);
	else
	return activate_sync(filter_ctx);
	}

	static av_cold void uninit(AVFilterContext *ctx)
	{
	DnnProcessingContext *context = ctx->priv;

	sws_freeContext(context->sws_uv_scale);
	ff_dnn_uninit(&context->dnnctx);
	}

	static const AVFilterPad dnn_processing_inputs[] = {
	{
	.name = "default",
	.type = AVMEDIA_TYPE_VIDEO,
	.config_props = config_input,
	},
	{ NULL }
	};

	static const AVFilterPad dnn_processing_outputs[] = {
	{
	.name = "default",
	.type = AVMEDIA_TYPE_VIDEO,
	.config_props = config_output,
	},
	{ NULL }
	};

	AVFilter ff_vf_dnn_processing = {
	.name = "dnn_processing",
	.description = NULL_IF_CONFIG_SMALL("Apply DNN processing filter to the input."),
	.priv_size = sizeof(DnnProcessingContext),
	.init = init,
	.uninit = uninit,
	.query_formats = query_formats,
	.inputs = dnn_processing_inputs,
	.outputs = dnn_processing_outputs,
	.priv_class = &dnn_processing_class,
	.activate = activate,
	};