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