76fc6879e2
So the backend knows the usage of model is for frame processing, detect, classify, etc. Each function type has different behavior in backend when handling the input/output data of the model. Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
60 lines
2.6 KiB
C
60 lines
2.6 KiB
C
/*
|
|
* 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
|
|
* common functions for the dnn based filters
|
|
*/
|
|
|
|
#ifndef AVFILTER_DNN_FILTER_COMMON_H
|
|
#define AVFILTER_DNN_FILTER_COMMON_H
|
|
|
|
#include "dnn_interface.h"
|
|
|
|
typedef struct DnnContext {
|
|
char *model_filename;
|
|
DNNBackendType backend_type;
|
|
char *model_inputname;
|
|
char *model_outputname;
|
|
char *backend_options;
|
|
int async;
|
|
|
|
DNNModule *dnn_module;
|
|
DNNModel *model;
|
|
} DnnContext;
|
|
|
|
#define DNN_COMMON_OPTIONS \
|
|
{ "model", "path to model file", OFFSET(model_filename), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
|
|
{ "input", "input name of the model", OFFSET(model_inputname), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
|
|
{ "output", "output name of the model", OFFSET(model_outputname), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
|
|
{ "backend_configs", "backend configs", OFFSET(backend_options), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
|
|
{ "options", "backend configs", OFFSET(backend_options), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
|
|
{ "async", "use DNN async inference", OFFSET(async), AV_OPT_TYPE_BOOL, { .i64 = 1}, 0, 1, FLAGS},
|
|
|
|
|
|
int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *filter_ctx);
|
|
DNNReturnType ff_dnn_get_input(DnnContext *ctx, DNNData *input);
|
|
DNNReturnType ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height);
|
|
DNNReturnType ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame);
|
|
DNNReturnType ff_dnn_execute_model_async(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame);
|
|
DNNAsyncStatusType ff_dnn_get_async_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame);
|
|
DNNReturnType ff_dnn_flush(DnnContext *ctx);
|
|
void ff_dnn_uninit(DnnContext *ctx);
|
|
|
|
#endif
|