2019-05-30 14:35:17 +02:00
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/*
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* Copyright (c) 2019 Xuewei Meng
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* Filter implementing image derain filter using deep convolutional networks.
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* http://openaccess.thecvf.com/content_ECCV_2018/html/Xia_Li_Recurrent_Squeeze-and-Excitation_Context_ECCV_2018_paper.html
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*/
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#include "libavutil/opt.h"
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#include "avfilter.h"
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2021-01-26 07:35:30 +02:00
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#include "dnn_filter_common.h"
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2019-05-30 14:35:17 +02:00
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#include "internal.h"
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2023-08-03 13:03:17 +02:00
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#include "video.h"
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2019-05-30 14:35:17 +02:00
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typedef struct DRContext {
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const AVClass *class;
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2021-01-26 07:35:30 +02:00
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DnnContext dnnctx;
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2019-08-22 12:28:44 +02:00
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int filter_type;
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2019-05-30 14:35:17 +02:00
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} DRContext;
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#define OFFSET(x) offsetof(DRContext, x)
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#define FLAGS AV_OPT_FLAG_FILTERING_PARAM | AV_OPT_FLAG_VIDEO_PARAM
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static const AVOption derain_options[] = {
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2024-02-11 16:41:05 +02:00
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{ "filter_type", "filter type(derain/dehaze)", OFFSET(filter_type), AV_OPT_TYPE_INT, { .i64 = 0 }, 0, 1, FLAGS, .unit = "type" },
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{ "derain", "derain filter flag", 0, AV_OPT_TYPE_CONST, { .i64 = 0 }, 0, 0, FLAGS, .unit = "type" },
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{ "dehaze", "dehaze filter flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, .unit = "type" },
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{ "dnn_backend", "DNN backend", OFFSET(dnnctx.backend_type), AV_OPT_TYPE_INT, { .i64 = 1 }, 0, 1, FLAGS, .unit = "backend" },
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2019-05-30 14:35:17 +02:00
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#if (CONFIG_LIBTENSORFLOW == 1)
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2024-02-11 16:41:05 +02:00
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{ "tensorflow", "tensorflow backend flag", 0, AV_OPT_TYPE_CONST, { .i64 = 1 }, 0, 0, FLAGS, .unit = "backend" },
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2019-05-30 14:35:17 +02:00
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#endif
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{ NULL }
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};
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2024-05-07 18:08:10 +02:00
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AVFILTER_DNN_DEFINE_CLASS(derain, DNN_TF);
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2019-05-30 14:35:17 +02:00
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static int filter_frame(AVFilterLink *inlink, AVFrame *in)
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{
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2021-08-25 23:10:45 +02:00
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DNNAsyncStatusType async_state = 0;
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2019-05-30 14:35:17 +02:00
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AVFilterContext *ctx = inlink->dst;
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AVFilterLink *outlink = ctx->outputs[0];
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DRContext *dr_context = ctx->priv;
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2022-03-02 20:05:49 +02:00
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int dnn_result;
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2020-08-28 06:51:44 +02:00
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AVFrame *out;
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2019-05-30 14:35:17 +02:00
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2020-08-28 06:51:44 +02:00
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out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
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2019-05-30 14:35:17 +02:00
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if (!out) {
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av_log(ctx, AV_LOG_ERROR, "could not allocate memory for output frame\n");
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av_frame_free(&in);
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return AVERROR(ENOMEM);
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}
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av_frame_copy_props(out, in);
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2021-01-26 07:35:30 +02:00
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dnn_result = ff_dnn_execute_model(&dr_context->dnnctx, in, out);
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2022-03-02 20:05:56 +02:00
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if (dnn_result != 0){
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2019-05-30 14:35:17 +02:00
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av_log(ctx, AV_LOG_ERROR, "failed to execute model\n");
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2020-08-28 06:51:44 +02:00
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av_frame_free(&in);
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2022-03-02 20:05:49 +02:00
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return dnn_result;
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2019-05-30 14:35:17 +02:00
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}
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2021-08-25 23:10:45 +02:00
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do {
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async_state = ff_dnn_get_result(&dr_context->dnnctx, &in, &out);
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} while (async_state == DAST_NOT_READY);
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if (async_state != DAST_SUCCESS)
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return AVERROR(EINVAL);
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2019-05-30 14:35:17 +02:00
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av_frame_free(&in);
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return ff_filter_frame(outlink, out);
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}
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static av_cold int init(AVFilterContext *ctx)
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{
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DRContext *dr_context = ctx->priv;
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2021-02-07 08:35:22 +02:00
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return ff_dnn_init(&dr_context->dnnctx, DFT_PROCESS_FRAME, ctx);
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2019-05-30 14:35:17 +02:00
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}
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static av_cold void uninit(AVFilterContext *ctx)
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{
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DRContext *dr_context = ctx->priv;
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2021-01-26 07:35:30 +02:00
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ff_dnn_uninit(&dr_context->dnnctx);
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2019-05-30 14:35:17 +02:00
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}
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static const AVFilterPad derain_inputs[] = {
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{
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.name = "default",
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.type = AVMEDIA_TYPE_VIDEO,
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.filter_frame = filter_frame,
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},
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};
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2021-04-19 18:33:56 +02:00
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const AVFilter ff_vf_derain = {
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2019-05-30 14:35:17 +02:00
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.name = "derain",
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.description = NULL_IF_CONFIG_SMALL("Apply derain filter to the input."),
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.priv_size = sizeof(DRContext),
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avfilter/dnn: Refactor DNN parameter configuration system
This patch trying to resolve mulitiple issues related to parameter
configuration:
Firstly, each DNN filters duplicate DNN_COMMON_OPTIONS, which should
be the common options of backend.
Secondly, backend options are hidden behind the scene. It's a
AV_OPT_TYPE_STRING backend_configs for user, and parsed by each
backend. We don't know each backend support what kind of options
from the help message.
Third, DNN backends duplicate DNN_BACKEND_COMMON_OPTIONS.
Last but not the least, pass backend options via AV_OPT_TYPE_STRING
makes it hard to pass AV_OPT_TYPE_BINARY to backend, if not impossible.
This patch puts backend common options and each backend options inside
DnnContext to reduce code duplication, make options user friendly, and
easy to extend for future usecase.
For example,
./ffmpeg -h filter=dnn_processing
dnn_processing AVOptions:
dnn_backend <int> ..FV....... DNN backend (from INT_MIN to INT_MAX) (default tensorflow)
tensorflow 1 ..FV....... tensorflow backend flag
openvino 2 ..FV....... openvino backend flag
torch 3 ..FV....... torch backend flag
dnn_base AVOptions:
model <string> ..F........ path to model file
input <string> ..F........ input name of the model
output <string> ..F........ output name of the model
backend_configs <string> ..F.......P backend configs (deprecated)
options <string> ..F.......P backend configs (deprecated)
nireq <int> ..F........ number of request (from 0 to INT_MAX) (default 0)
async <boolean> ..F........ use DNN async inference (default true)
device <string> ..F........ device to run model
dnn_tensorflow AVOptions:
sess_config <string> ..F........ config for SessionOptions
dnn_openvino AVOptions:
batch_size <int> ..F........ batch size per request (from 1 to 1000) (default 1)
input_resizable <boolean> ..F........ can input be resizable or not (default false)
layout <int> ..F........ input layout of model (from 0 to 2) (default none)
none 0 ..F........ none
nchw 1 ..F........ nchw
nhwc 2 ..F........ nhwc
scale <float> ..F........ Add scale preprocess operation. Divide each element of input by specified value. (from INT_MIN to INT_MAX) (default 0)
mean <float> ..F........ Add mean preprocess operation. Subtract specified value from each element of input. (from INT_MIN to INT_MAX) (default 0)
dnn_th AVOptions:
optimize <int> ..F........ turn on graph executor optimization (from 0 to 1) (default 0)
Signed-off-by: Zhao Zhili <zhilizhao@tencent.com>
Reviewed-by: Wenbin Chen <wenbin.chen@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
2024-05-07 18:08:08 +02:00
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.preinit = ff_dnn_filter_init_child_class,
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2019-05-30 14:35:17 +02:00
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.init = init,
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.uninit = uninit,
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2021-08-12 13:05:31 +02:00
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FILTER_INPUTS(derain_inputs),
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2023-08-03 14:37:51 +02:00
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FILTER_OUTPUTS(ff_video_default_filterpad),
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2021-09-27 15:33:52 +02:00
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FILTER_SINGLE_PIXFMT(AV_PIX_FMT_RGB24),
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2019-05-30 14:35:17 +02:00
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.priv_class = &derain_class,
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.flags = AVFILTER_FLAG_SUPPORT_TIMELINE_GENERIC,
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};
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