[FFmpeg-devel] [PATCH v3] libavfilter: Add derain filter
Steven Liu
lingjiujianke at gmail.com
Thu Jun 6 09:04:54 EEST 2019
Steven Liu <lq at chinaffmpeg.org> 于2019年6月1日周六 上午8:30写道：
>
>
>
> > 在 2019年5月30日，20:35，Xuewei Meng <xwmeng96 at gmail.com> 写道：
> >
> > Remove the rain in the input image/video by applying the derain
> > methods based on convolutional neural networks. Training scripts
> > as well as scripts for model generation are provided in the
> > repository at https://github.com/XueweiMeng/derain_filter.git.
> >
> > Signed-off-by: Xuewei Meng <xwmeng96 at gmail.com>
> > ---
> > doc/filters.texi | 34 +++++++
> > libavfilter/Makefile | 1 +
> > libavfilter/allfilters.c | 1 +
> > libavfilter/vf_derain.c | 212 +++++++++++++++++++++++++++++++++++++++
> > 4 files changed, 248 insertions(+)
> > create mode 100644 libavfilter/vf_derain.c
> >
> > diff --git a/doc/filters.texi b/doc/filters.texi
> > index 4fdcfe919e..f1d3841ed3 100644
> > --- a/doc/filters.texi
> > +++ b/doc/filters.texi
> > @@ -8248,6 +8248,40 @@ delogo=x=0:y=0:w=100:h=77:band=10
> >
> > @end itemize
> >
> > + at section derain
> > +
> > +Remove the rain in the input image/video by applying the derain methods based on
> > +convolutional neural networks. Supported models:
> > +
> > + at itemize
> > + at item
> > +Recurrent Squeeze-and-Excitation Context Aggregation Net (RESCAN).
> > +See @url{http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.pdf}.
> > + at end itemize
> > +
> > +Training scripts as well as scripts for model generation are provided in
> > +the repository at @url{https://github.com/XueweiMeng/derain_filter.git}.
> > +
> > +The filter accepts the following options:
> > +
> > + at table @option
> > + at item dnn_backend
> > +Specify which DNN backend to use for model loading and execution. This option accepts
> > +the following values:
> > +
> > + at table @samp
> > + at item native
> > +Native implementation of DNN loading and execution.
> > + at end table
> > +Default value is @samp{native}.
> > +
> > + at item model
> > +Set path to model file specifying network architecture and its parameters.
> > +Note that different backends use different file formats. TensorFlow backend
> > +can load files for both formats, while native backend can load files for only
> > +its format.
> > + at end table
> > +
> > @section deshake
> >
> > Attempt to fix small changes in horizontal and/or vertical shift. This
> > diff --git a/libavfilter/Makefile b/libavfilter/Makefile
> > index 9a61c25b05..b7191d0081 100644
> > --- a/libavfilter/Makefile
> > +++ b/libavfilter/Makefile
> > @@ -200,6 +200,7 @@ OBJS-$(CONFIG_DCTDNOIZ_FILTER) += vf_dctdnoiz.o
> > OBJS-$(CONFIG_DEBAND_FILTER) += vf_deband.o
> > OBJS-$(CONFIG_DEBLOCK_FILTER) += vf_deblock.o
> > OBJS-$(CONFIG_DECIMATE_FILTER) += vf_decimate.o
> > +OBJS-$(CONFIG_DERAIN_FILTER) += vf_derain.o
> > OBJS-$(CONFIG_DECONVOLVE_FILTER) += vf_convolve.o framesync.o
> > OBJS-$(CONFIG_DEDOT_FILTER) += vf_dedot.o
> > OBJS-$(CONFIG_DEFLATE_FILTER) += vf_neighbor.o
> > diff --git a/libavfilter/allfilters.c b/libavfilter/allfilters.c
> > index 40534738ee..f3c8883960 100644
> > --- a/libavfilter/allfilters.c
> > +++ b/libavfilter/allfilters.c
> > @@ -196,6 +196,7 @@ extern AVFilter ff_vf_deinterlace_vaapi;
> > extern AVFilter ff_vf_dejudder;
> > extern AVFilter ff_vf_delogo;
> > extern AVFilter ff_vf_denoise_vaapi;
> > +extern AVFilter ff_vf_derain;
> > extern AVFilter ff_vf_deshake;
> > extern AVFilter ff_vf_despill;
> > extern AVFilter ff_vf_detelecine;
> > diff --git a/libavfilter/vf_derain.c b/libavfilter/vf_derain.c
> > new file mode 100644
> > index 0000000000..c380b40122
> > --- /dev/null
> > +++ b/libavfilter/vf_derain.c
> > @@ -0,0 +1,212 @@
> > +/*
> > + * Copyright (c) 2019 Xuewei Meng
> > + *
> > + * 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
> > + * Filter implementing image derain filter using deep convolutional networks.
> > + * http://openaccess.thecvf.com/content_ECCV_2018/html/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.html
> > + */
> > +
> > +#include "libavformat/avio.h"
> > +#include "libavutil/opt.h"
> > +#include "avfilter.h"
> > +#include "dnn_interface.h"
> > +#include "formats.h"
> > +#include "internal.h"
> > +
> > +typedef struct DRContext {
> > + const AVClass *class;
> > +
> > + char *model_filename;
> > + DNNBackendType backend_type;
> > + DNNModule *dnn_module;
> > + DNNModel *model;
> > + DNNInputData input;
> > + DNNData output;
> > +} DRContext;
> > +
> > +#define CLIP(x, min, max) (x < min ? min : (x > max ? max : x))
> > +#define OFFSET(x) offsetof(DRContext, x)
> > +#define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
> > +static const AVOption derain_options[] = {
> > + { "dnn_backend", "DNN backend", OFFSET(backend_type), AV_OPT_TYPE_INT, { .i64 = 0 }, 0, 1, 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
> > + { "model", "path to model file", OFFSET(model_filename), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },
> > + { NULL }
> > +};
> > +
> > +AVFILTER_DEFINE_CLASS(derain);
> > +
> > +static int query_formats(AVFilterContext *ctx)
> > +{
> > + AVFilterFormats *formats;
> > + const enum AVPixelFormat pixel_fmts[] = {
> > + AV_PIX_FMT_RGB24,
> > + AV_PIX_FMT_NONE
> > + };
> > +
> > + formats = ff_make_format_list(pixel_fmts);
> > +
> > + return ff_set_common_formats(ctx, formats);
> > +}
> > +
> > +static int config_inputs(AVFilterLink *inlink)
> > +{
> > + AVFilterContext *ctx = inlink->dst;
> > + DRContext *dr_context = ctx->priv;
> > + const char *model_output_name = "y";
> > + DNNReturnType result;
> > +
> > + dr_context->input.width = inlink->w;
> > + dr_context->input.height = inlink->h;
> > + dr_context->input.channels = 3;
> > +
> > + result = (dr_context->model->set_input_output)(dr_context->model->model, &dr_context->input, "x", &model_output_name, 1);
> > + if (result != DNN_SUCCESS) {
> > + av_log(ctx, AV_LOG_ERROR, "could not set input and output for the model\n");
> > + return AVERROR(EIO);
> > + }
> > +
> > + return 0;
> > +}
> > +
> > +static int filter_frame(AVFilterLink *inlink, AVFrame *in)
> > +{
> > + AVFilterContext *ctx = inlink->dst;
> > + AVFilterLink *outlink = ctx->outputs[0];
> > + DRContext *dr_context = ctx->priv;
> > + DNNReturnType dnn_result;
> > + int pad_size;
> > +
> > + AVFrame *out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
> > + if (!out) {
> > + av_log(ctx, AV_LOG_ERROR, "could not allocate memory for output frame\n");
> > + av_frame_free(&in);
> > + return AVERROR(ENOMEM);
> > + }
> > +
> > + av_frame_copy_props(out, in);
> > +
> > + for (int i = 0; i < in->height; i++){
> > + for(int j = 0; j < in->width * 3; j++){
> > + int k = i * in->linesize[0] + j;
> > + int t = i * in->width * 3 + j;
> > + ((float *)dr_context->input.data)[t] = in->data[0][k] / 255.0;
> > + }
> > + }
> > +
> > + dnn_result = (dr_context->dnn_module->execute_model)(dr_context->model, &dr_context->output, 1);
> > + if (dnn_result != DNN_SUCCESS){
> > + av_log(ctx, AV_LOG_ERROR, "failed to execute model\n");
> > + return AVERROR(EIO);
> > + }
> > +
> > + out->height = dr_context->output.height;
> > + out->width = dr_context->output.width;
> > + outlink->h = dr_context->output.height;
> > + outlink->w = dr_context->output.width;
> > + pad_size = (in->height - out->height) >> 1;
> > +
> > + for (int i = 0; i < out->height; i++){
> > + for(int j = 0; j < out->width * 3; j++){
> > + int k = i * out->linesize[0] + j;
> > + int t = i * out->width * 3 + j;
> > +
> > + int t_in = (i + pad_size) * in->width * 3 + j + pad_size * 3;
> > + out->data[0][k] = CLIP((int)((((float *)dr_context->input.data)[t_in] - dr_context->output.data[t]) * 255), 0, 255);
> > + }
> > + }
> > +
> > + av_frame_free(&in);
> > +
> > + return ff_filter_frame(outlink, out);
> > +}
> > +
> > +static av_cold int init(AVFilterContext *ctx)
> > +{
> > + DRContext *dr_context = ctx->priv;
> > +
> > + dr_context->input.dt = DNN_FLOAT;
> > + dr_context->dnn_module = ff_get_dnn_module(dr_context->backend_type);
> > + if (!dr_context->dnn_module) {
> > + av_log(ctx, AV_LOG_ERROR, "could not create DNN module for requested backend\n");
> > + return AVERROR(ENOMEM);
> > + }
> > + if (!dr_context->model_filename) {
> > + av_log(ctx, AV_LOG_ERROR, "model file for network is not specified\n");
> > + return AVERROR(EINVAL);
> > + }
> > + if (!dr_context->dnn_module->load_model) {
> > + av_log(ctx, AV_LOG_ERROR, "load_model for network is not specified\n");
> > + return AVERROR(EINVAL);
> > + }
> > +
> > + dr_context->model = (dr_context->dnn_module->load_model)(dr_context->model_filename);
> > + if (!dr_context->model) {
> > + av_log(ctx, AV_LOG_ERROR, "could not load DNN model\n");
> > + return AVERROR(EINVAL);
> > + }
> > +
> > + return 0;
> > +}
> > +
> > +static av_cold void uninit(AVFilterContext *ctx)
> > +{
> > + DRContext *dr_context = ctx->priv;
> > +
> > + if (dr_context->dnn_module) {
> > + (dr_context->dnn_module->free_model)(&dr_context->model);
> > + av_freep(&dr_context->dnn_module);
> > + }
> > +}
> > +
> > +static const AVFilterPad derain_inputs[] = {
> > + {
> > + .name = "default",
> > + .type = AVMEDIA_TYPE_VIDEO,
> > + .config_props = config_inputs,
> > + .filter_frame = filter_frame,
> > + },
> > + { NULL }
> > +};
> > +
> > +static const AVFilterPad derain_outputs[] = {
> > + {
> > + .name = "default",
> > + .type = AVMEDIA_TYPE_VIDEO,
> > + },
> > + { NULL }
> > +};
> > +
> > +AVFilter ff_vf_derain = {
> > + .name = "derain",
> > + .description = NULL_IF_CONFIG_SMALL("Apply derain filter to the input."),
> > + .priv_size = sizeof(DRContext),
> > + .init = init,
> > + .uninit = uninit,
> > + .query_formats = query_formats,
> > + .inputs = derain_inputs,
> > + .outputs = derain_outputs,
> > + .priv_class = &derain_class,
> > + .flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC,
> > +};
> > --
> > 2.17.1
> >
> > _______________________________________________
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> >
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> > ffmpeg-devel-request at ffmpeg.org with subject "unsubscribe”.
>
> Will push after 24 hours if there have no objections.
>
Pushed
>
> Thanks
> Steven
>
>
>
>
>
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