mirror of https://git.ffmpeg.org/ffmpeg.git
65 lines
3.0 KiB
C
65 lines
3.0 KiB
C
/*
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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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* common functions for the dnn based filters
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*/
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#ifndef AVFILTER_DNN_FILTER_COMMON_H
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#define AVFILTER_DNN_FILTER_COMMON_H
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#include "dnn_interface.h"
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typedef struct DnnContext {
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char *model_filename;
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DNNBackendType backend_type;
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char *model_inputname;
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char *model_outputnames_string;
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char *backend_options;
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int async;
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char **model_outputnames;
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uint32_t nb_outputs;
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const DNNModule *dnn_module;
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DNNModel *model;
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} DnnContext;
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#define DNN_COMMON_OPTIONS \
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{ "model", "path to model file", OFFSET(model_filename), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
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{ "input", "input name of the model", OFFSET(model_inputname), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
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{ "output", "output name of the model", OFFSET(model_outputnames_string), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
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{ "backend_configs", "backend configs", OFFSET(backend_options), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS },\
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{ "options", "backend configs (deprecated, use backend_configs)", OFFSET(backend_options), AV_OPT_TYPE_STRING, { .str = NULL }, 0, 0, FLAGS | AV_OPT_FLAG_DEPRECATED},\
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{ "async", "use DNN async inference (ignored, use backend_configs='async=1')", OFFSET(async), AV_OPT_TYPE_BOOL, { .i64 = 1}, 0, 1, FLAGS},
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int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *filter_ctx);
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int ff_dnn_set_frame_proc(DnnContext *ctx, FramePrePostProc pre_proc, FramePrePostProc post_proc);
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int ff_dnn_set_detect_post_proc(DnnContext *ctx, DetectPostProc post_proc);
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int ff_dnn_set_classify_post_proc(DnnContext *ctx, ClassifyPostProc post_proc);
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int ff_dnn_get_input(DnnContext *ctx, DNNData *input);
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int ff_dnn_get_output(DnnContext *ctx, int input_width, int input_height, int *output_width, int *output_height);
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int ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame);
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int ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target);
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DNNAsyncStatusType ff_dnn_get_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame);
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int ff_dnn_flush(DnnContext *ctx);
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void ff_dnn_uninit(DnnContext *ctx);
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#endif
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