[FFmpeg-devel] [PATCH v3] libavfilter: Add derain filter
Steven Liu
lq at chinaffmpeg.org
Sat Jun 1 03:29:40 EEST 2019
> 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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Will push after 24 hours if there have no objections.
Thanks
Steven
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