/* * 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_PARAMstatic 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 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}; #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;    int result;    DNNData model_input;    int check;     result = ff_dnn_get_input(&ctx->dnnctx, &model_input);    if (result != 0) {        av_log(ctx, AV_LOG_ERROR, "could not get input from the model\n");        return result;    }     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;    int 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 != 0) {        av_log(ctx, AV_LOG_ERROR, "could not get output from the model\n");        return result;    }     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);            if (bytewidth < 0) {                return AVERROR(EINVAL);            }            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 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 != 0) {        return -1;    }     do {        AVFrame *in_frame = NULL;        AVFrame *out_frame = NULL;        async_state = ff_dnn_get_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(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(&ctx->dnnctx, in, out) != 0) {                return AVERROR(EIO);            }        }    } while (ret > 0);     // drain all processed frames    do {        AVFrame *in_frame = NULL;        AVFrame *out_frame = NULL;        async_state = ff_dnn_get_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 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,    },}; static const AVFilterPad dnn_processing_outputs[] = {    {        .name = "default",        .type = AVMEDIA_TYPE_VIDEO,        .config_props  = config_output,    },}; const 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,    FILTER_INPUTS(dnn_processing_inputs),    FILTER_OUTPUTS(dnn_processing_outputs),    FILTER_PIXFMTS_ARRAY(pix_fmts),    .priv_class    = &dnn_processing_class,    .activate      = activate,};