a3b74651a0
Different function type of model requires different parameters, for example, object detection detects lots of objects (cat/dog/...) in the frame, and classifcation needs to know which object (cat or dog) it is going to classify. The current interface needs to add a new function with more parameters to support new requirement, with this change, we can just add a new struct (for example DNNExecClassifyParams) based on DNNExecBaseParams, and so we can continue to use the current interface execute_model just with params changed.
39 lines
1.3 KiB
C
39 lines
1.3 KiB
C
/*
|
|
* Copyright (c) 2018 Sergey Lavrushkin
|
|
*
|
|
* 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
|
|
* DNN inference functions interface for TensorFlow backend.
|
|
*/
|
|
|
|
|
|
#ifndef AVFILTER_DNN_DNN_BACKEND_TF_H
|
|
#define AVFILTER_DNN_DNN_BACKEND_TF_H
|
|
|
|
#include "../dnn_interface.h"
|
|
|
|
DNNModel *ff_dnn_load_model_tf(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
|
|
|
|
DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNExecBaseParams *exec_params);
|
|
|
|
void ff_dnn_free_model_tf(DNNModel **model);
|
|
|
|
#endif
|