mirror of https://git.ffmpeg.org/ffmpeg.git
401 lines
14 KiB
C
401 lines
14 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 "dnn_io_proc.h"
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#include "libavformat/avio.h"
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#include "libavutil/avassert.h"
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#include "libavutil/opt.h"
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#include "libavutil/avstring.h"
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#include "../internal.h"
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#include <c_api/ie_c_api.h>
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typedef struct OVOptions{
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char *device_type;
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} OVOptions;
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typedef struct OVContext {
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const AVClass *class;
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OVOptions options;
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} OVContext;
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typedef struct OVModel{
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OVContext ctx;
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DNNModel *model;
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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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} OVModel;
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#define APPEND_STRING(generated_string, iterate_string) \
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generated_string = generated_string ? av_asprintf("%s %s", generated_string, iterate_string) : \
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av_asprintf("%s", iterate_string);
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#define OFFSET(x) offsetof(OVContext, x)
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#define FLAGS AV_OPT_FLAG_FILTERING_PARAM
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static const AVOption dnn_openvino_options[] = {
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{ "device", "device to run model", OFFSET(options.device_type), AV_OPT_TYPE_STRING, { .str = "CPU" }, 0, 0, FLAGS },
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(dnn_openvino);
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static DNNReturnType execute_model_ov(const DNNModel *model, const char *input_name, AVFrame *in_frame,
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const char **output_names, uint32_t nb_output, AVFrame *out_frame,
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int do_ioproc);
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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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OVContext *ctx = &ov_model->ctx;
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char *model_input_name = NULL;
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char *all_input_names = 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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av_log(ctx, AV_LOG_ERROR, "Failed to get input count\n");
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return DNN_ERROR;
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}
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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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av_log(ctx, AV_LOG_ERROR, "Failed to get No.%d input's name\n", (int)i);
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return DNN_ERROR;
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}
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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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av_log(ctx, AV_LOG_ERROR, "Failed to get No.%d input's dims or precision\n", (int)i);
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return DNN_ERROR;
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}
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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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av_log(ctx, AV_LOG_ERROR, "Input \"%s\" does not match layout NHWC\n", input_name);
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return DNN_ERROR;
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}
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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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} else {
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//incorrect input name
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APPEND_STRING(all_input_names, model_input_name)
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}
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ie_network_name_free(&model_input_name);
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}
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av_log(ctx, AV_LOG_ERROR, "Could not find \"%s\" in model, all input(s) are: \"%s\"\n", input_name, all_input_names);
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return DNN_ERROR;
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}
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static DNNReturnType get_output_ov(void *model, const char *input_name, int input_width, int input_height,
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const char *output_name, int *output_width, int *output_height)
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{
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DNNReturnType ret;
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OVModel *ov_model = (OVModel *)model;
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OVContext *ctx = &ov_model->ctx;
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AVFrame *in_frame = av_frame_alloc();
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AVFrame *out_frame = NULL;
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if (!in_frame) {
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av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for input frame\n");
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return DNN_ERROR;
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}
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out_frame = av_frame_alloc();
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if (!out_frame) {
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av_log(ctx, AV_LOG_ERROR, "Failed to allocate memory for output frame\n");
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av_frame_free(&in_frame);
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return DNN_ERROR;
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}
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in_frame->width = input_width;
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in_frame->height = input_height;
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ret = execute_model_ov(ov_model->model, input_name, in_frame, &output_name, 1, out_frame, 0);
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*output_width = out_frame->width;
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*output_height = out_frame->height;
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av_frame_free(&out_frame);
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av_frame_free(&in_frame);
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return ret;
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}
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DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options, void *userdata)
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{
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char *all_dev_names = NULL;
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DNNModel *model = NULL;
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OVModel *ov_model = NULL;
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OVContext *ctx = NULL;
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IEStatusCode status;
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ie_config_t config = {NULL, NULL, NULL};
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ie_available_devices_t a_dev;
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model = av_mallocz(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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ov_model->model = model;
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ov_model->ctx.class = &dnn_openvino_class;
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ctx = &ov_model->ctx;
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//parse options
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av_opt_set_defaults(ctx);
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if (av_opt_set_from_string(ctx, options, NULL, "=", "&") < 0) {
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av_log(ctx, AV_LOG_ERROR, "Failed to parse options \"%s\"\n", options);
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goto err;
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}
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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, ctx->options.device_type, &config, &ov_model->exe_network);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to init OpenVINO model\n");
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status = ie_core_get_available_devices(ov_model->core, &a_dev);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to get available devices\n");
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goto err;
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}
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for (int i = 0; i < a_dev.num_devices; i++) {
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APPEND_STRING(all_dev_names, a_dev.devices[i])
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}
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av_log(ctx, AV_LOG_ERROR,"device %s may not be supported, all available devices are: \"%s\"\n",
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ctx->options.device_type, all_dev_names);
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goto err;
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}
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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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model->model = (void *)ov_model;
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model->get_input = &get_input_ov;
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model->get_output = &get_output_ov;
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model->options = options;
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model->userdata = userdata;
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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->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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}
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return NULL;
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}
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static DNNReturnType execute_model_ov(const DNNModel *model, const char *input_name, AVFrame *in_frame,
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const char **output_names, uint32_t nb_output, AVFrame *out_frame,
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int do_ioproc)
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{
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char *model_output_name = NULL;
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char *all_output_names = NULL;
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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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OVContext *ctx = &ov_model->ctx;
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IEStatusCode status;
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size_t model_output_count = 0;
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DNNData input, output;
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ie_blob_t *input_blob = NULL;
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status = ie_infer_request_get_blob(ov_model->infer_request, input_name, &input_blob);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to get input blob\n");
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return DNN_ERROR;
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}
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status |= ie_blob_get_dims(input_blob, &dims);
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status |= ie_blob_get_precision(input_blob, &precision);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to get input blob dims/precision\n");
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return DNN_ERROR;
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}
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status = ie_blob_get_buffer(input_blob, &blob_buffer);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to get input blob buffer\n");
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return DNN_ERROR;
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}
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input.height = dims.dims[2];
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input.width = dims.dims[3];
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input.channels = dims.dims[1];
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input.data = blob_buffer.buffer;
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input.dt = precision_to_datatype(precision);
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if (do_ioproc) {
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if (ov_model->model->pre_proc != NULL) {
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ov_model->model->pre_proc(in_frame, &input, ov_model->model->userdata);
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} else {
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proc_from_frame_to_dnn(in_frame, &input, ctx);
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}
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}
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ie_blob_free(&input_blob);
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if (nb_output != 1) {
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// currently, the filter does not need multiple outputs,
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// so we just pending the support until we really need it.
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av_log(ctx, AV_LOG_ERROR, "do not support multiple outputs\n");
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return DNN_ERROR;
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}
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status = ie_infer_request_infer(ov_model->infer_request);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to start synchronous model inference\n");
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return DNN_ERROR;
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}
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for (uint32_t i = 0; i < nb_output; ++i) {
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const char *output_name = output_names[i];
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ie_blob_t *output_blob = NULL;
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status = ie_infer_request_get_blob(ov_model->infer_request, output_name, &output_blob);
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if (status != OK) {
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//incorrect output name
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av_log(ctx, AV_LOG_ERROR, "Failed to get model output data\n");
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status = ie_network_get_outputs_number(ov_model->network, &model_output_count);
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for (size_t i = 0; i < model_output_count; i++) {
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status = ie_network_get_output_name(ov_model->network, i, &model_output_name);
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APPEND_STRING(all_output_names, model_output_name)
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}
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av_log(ctx, AV_LOG_ERROR,
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"output \"%s\" may not correct, all output(s) are: \"%s\"\n",
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output_name, all_output_names);
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return DNN_ERROR;
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}
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status = ie_blob_get_buffer(output_blob, &blob_buffer);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to access output memory\n");
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return DNN_ERROR;
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}
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status |= ie_blob_get_dims(output_blob, &dims);
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status |= ie_blob_get_precision(output_blob, &precision);
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if (status != OK) {
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av_log(ctx, AV_LOG_ERROR, "Failed to get dims or precision of output\n");
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return DNN_ERROR;
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}
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output.channels = dims.dims[1];
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output.height = dims.dims[2];
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output.width = dims.dims[3];
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output.dt = precision_to_datatype(precision);
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output.data = blob_buffer.buffer;
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if (do_ioproc) {
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if (ov_model->model->post_proc != NULL) {
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ov_model->model->post_proc(out_frame, &output, ov_model->model->userdata);
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} else {
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proc_from_dnn_to_frame(out_frame, &output, ctx);
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}
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} else {
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out_frame->width = output.width;
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out_frame->height = output.height;
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}
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ie_blob_free(&output_blob);
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}
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return DNN_SUCCESS;
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}
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DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, const char *input_name, AVFrame *in_frame,
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const char **output_names, uint32_t nb_output, AVFrame *out_frame)
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{
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OVModel *ov_model = (OVModel *)model->model;
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OVContext *ctx = &ov_model->ctx;
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if (!in_frame) {
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av_log(ctx, AV_LOG_ERROR, "in frame is NULL when execute model.\n");
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return DNN_ERROR;
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}
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if (!out_frame) {
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av_log(ctx, AV_LOG_ERROR, "out frame is NULL when execute model.\n");
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return DNN_ERROR;
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}
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return execute_model_ov(model, input_name, in_frame, output_names, nb_output, out_frame, 1);
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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->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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