mirror of https://git.ffmpeg.org/ffmpeg.git
262 lines
8.1 KiB
C
262 lines
8.1 KiB
C
/*
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* Copyright (c) 2020
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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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* DNN OpenVINO backend implementation.
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*/
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#include "dnn_backend_openvino.h"
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#include "libavformat/avio.h"
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#include "libavutil/avassert.h"
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#include <c_api/ie_c_api.h>
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typedef struct OVModel{
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ie_core_t *core;
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ie_network_t *network;
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ie_executable_network_t *exe_network;
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ie_infer_request_t *infer_request;
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ie_blob_t *input_blob;
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ie_blob_t **output_blobs;
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uint32_t nb_output;
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} OVModel;
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static DNNDataType precision_to_datatype(precision_e precision)
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{
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switch (precision)
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{
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case FP32:
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return DNN_FLOAT;
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default:
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av_assert0(!"not supported yet.");
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return DNN_FLOAT;
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}
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}
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static DNNReturnType get_input_ov(void *model, DNNData *input, const char *input_name)
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{
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OVModel *ov_model = (OVModel *)model;
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char *model_input_name = NULL;
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IEStatusCode status;
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size_t model_input_count = 0;
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dimensions_t dims;
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precision_e precision;
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status = ie_network_get_inputs_number(ov_model->network, &model_input_count);
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if (status != OK)
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return DNN_ERROR;
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for (size_t i = 0; i < model_input_count; i++) {
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status = ie_network_get_input_name(ov_model->network, i, &model_input_name);
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if (status != OK)
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return DNN_ERROR;
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if (strcmp(model_input_name, input_name) == 0) {
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ie_network_name_free(&model_input_name);
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status |= ie_network_get_input_dims(ov_model->network, input_name, &dims);
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status |= ie_network_get_input_precision(ov_model->network, input_name, &precision);
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if (status != OK)
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return DNN_ERROR;
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// The order of dims in the openvino is fixed and it is always NCHW for 4-D data.
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// while we pass NHWC data from FFmpeg to openvino
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status = ie_network_set_input_layout(ov_model->network, input_name, NHWC);
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if (status != OK)
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return DNN_ERROR;
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input->channels = dims.dims[1];
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input->height = dims.dims[2];
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input->width = dims.dims[3];
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input->dt = precision_to_datatype(precision);
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return DNN_SUCCESS;
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}
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ie_network_name_free(&model_input_name);
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}
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return DNN_ERROR;
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}
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static DNNReturnType set_input_output_ov(void *model, DNNData *input, const char *input_name, const char **output_names, uint32_t nb_output)
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{
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OVModel *ov_model = (OVModel *)model;
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IEStatusCode status;
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dimensions_t dims;
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precision_e precision;
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ie_blob_buffer_t blob_buffer;
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status = ie_exec_network_create_infer_request(ov_model->exe_network, &ov_model->infer_request);
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if (status != OK)
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goto err;
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status = ie_infer_request_get_blob(ov_model->infer_request, input_name, &ov_model->input_blob);
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if (status != OK)
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goto err;
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status |= ie_blob_get_dims(ov_model->input_blob, &dims);
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status |= ie_blob_get_precision(ov_model->input_blob, &precision);
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if (status != OK)
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goto err;
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av_assert0(input->channels == dims.dims[1]);
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av_assert0(input->height == dims.dims[2]);
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av_assert0(input->width == dims.dims[3]);
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av_assert0(input->dt == precision_to_datatype(precision));
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status = ie_blob_get_buffer(ov_model->input_blob, &blob_buffer);
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if (status != OK)
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goto err;
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input->data = blob_buffer.buffer;
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// outputs
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ov_model->nb_output = 0;
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av_freep(&ov_model->output_blobs);
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ov_model->output_blobs = av_mallocz_array(nb_output, sizeof(*ov_model->output_blobs));
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if (!ov_model->output_blobs)
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goto err;
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for (int i = 0; i < nb_output; i++) {
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const char *output_name = output_names[i];
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status = ie_infer_request_get_blob(ov_model->infer_request, output_name, &(ov_model->output_blobs[i]));
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if (status != OK)
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goto err;
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ov_model->nb_output++;
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}
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return DNN_SUCCESS;
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err:
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if (ov_model->output_blobs) {
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for (uint32_t i = 0; i < ov_model->nb_output; i++) {
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ie_blob_free(&(ov_model->output_blobs[i]));
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}
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av_freep(&ov_model->output_blobs);
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}
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if (ov_model->input_blob)
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ie_blob_free(&ov_model->input_blob);
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if (ov_model->infer_request)
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ie_infer_request_free(&ov_model->infer_request);
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return DNN_ERROR;
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}
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DNNModel *ff_dnn_load_model_ov(const char *model_filename)
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{
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DNNModel *model = NULL;
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OVModel *ov_model = NULL;
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IEStatusCode status;
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ie_config_t config = {NULL, NULL, NULL};
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model = av_malloc(sizeof(DNNModel));
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if (!model){
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return NULL;
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}
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ov_model = av_mallocz(sizeof(OVModel));
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if (!ov_model)
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goto err;
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status = ie_core_create("", &ov_model->core);
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if (status != OK)
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goto err;
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status = ie_core_read_network(ov_model->core, model_filename, NULL, &ov_model->network);
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if (status != OK)
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goto err;
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status = ie_core_load_network(ov_model->core, ov_model->network, "CPU", &config, &ov_model->exe_network);
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if (status != OK)
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goto err;
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model->model = (void *)ov_model;
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model->set_input_output = &set_input_output_ov;
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model->get_input = &get_input_ov;
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return model;
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err:
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if (model)
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av_freep(&model);
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if (ov_model) {
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if (ov_model->exe_network)
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ie_exec_network_free(&ov_model->exe_network);
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if (ov_model->network)
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ie_network_free(&ov_model->network);
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if (ov_model->core)
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ie_core_free(&ov_model->core);
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av_freep(&ov_model);
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}
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return NULL;
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}
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DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, uint32_t nb_output)
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{
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dimensions_t dims;
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precision_e precision;
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ie_blob_buffer_t blob_buffer;
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OVModel *ov_model = (OVModel *)model->model;
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uint32_t nb = FFMIN(nb_output, ov_model->nb_output);
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IEStatusCode status = ie_infer_request_infer(ov_model->infer_request);
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if (status != OK)
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return DNN_ERROR;
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for (uint32_t i = 0; i < nb; ++i) {
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status = ie_blob_get_buffer(ov_model->output_blobs[i], &blob_buffer);
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if (status != OK)
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return DNN_ERROR;
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status |= ie_blob_get_dims(ov_model->output_blobs[i], &dims);
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status |= ie_blob_get_precision(ov_model->output_blobs[i], &precision);
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if (status != OK)
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return DNN_ERROR;
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outputs[i].channels = dims.dims[1];
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outputs[i].height = dims.dims[2];
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outputs[i].width = dims.dims[3];
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outputs[i].dt = precision_to_datatype(precision);
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outputs[i].data = blob_buffer.buffer;
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}
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return DNN_SUCCESS;
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}
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void ff_dnn_free_model_ov(DNNModel **model)
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{
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if (*model){
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OVModel *ov_model = (OVModel *)(*model)->model;
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if (ov_model->output_blobs) {
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for (uint32_t i = 0; i < ov_model->nb_output; i++) {
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ie_blob_free(&(ov_model->output_blobs[i]));
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}
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av_freep(&ov_model->output_blobs);
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}
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if (ov_model->input_blob)
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ie_blob_free(&ov_model->input_blob);
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if (ov_model->infer_request)
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ie_infer_request_free(&ov_model->infer_request);
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if (ov_model->exe_network)
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ie_exec_network_free(&ov_model->exe_network);
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if (ov_model->network)
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ie_network_free(&ov_model->network);
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if (ov_model->core)
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ie_core_free(&ov_model->core);
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av_freep(&ov_model);
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av_freep(model);
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}
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}
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