> 在 2019年5月30日，20:35，Xuewei Meng <xwmen...@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 <xwmen...@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 > > +@section derain > + > +Remove the rain in the input image/video by applying the derain methods > based on > +convolutional neural networks. Supported models: > + > +@itemize > +@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}. > +@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: > + > +@table @option > +@item dnn_backend > +Specify which DNN backend to use for model loading and execution. This > option accepts > +the following values: > + > +@table @samp > +@item native > +Native implementation of DNN loading and execution. > +@end table > +Default value is @samp{native}. > + > +@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. > +@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 > > _______________________________________________ > ffmpeg-devel mailing list > ffmpeg-devel@ffmpeg.org > https://ffmpeg.org/mailman/listinfo/ffmpeg-devel > > To unsubscribe, visit link above, or email > ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe”.
Will push after 24 hours if there have no objections. Thanks Steven _______________________________________________ ffmpeg-devel mailing list ffmpeg-devel@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-devel To unsubscribe, visit link above, or email ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe".
