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avfilter/dnn: define each backend as a DNNModule

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To avoid export multiple functions for each backend
implementation.

Signed-off-by: Zhao Zhili <zhilizhao@tencent.com>
This commit is contained in:
Zhao Zhili 2023-04-30 23:38:53 +08:00
parent 2c4b6976d5
commit 3f52b7eedc
5 changed files with 112 additions and 184 deletions
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98
libavfilter/dnn/dnn_backend_openvino.c
View File

@ -23,7 +23,6 @@
* DNN OpenVINO backend implementation.
*/
#include "dnn_backend_openvino.h"
#include "dnn_io_proc.h"
#include "libavformat/avio.h"
#include "libavutil/avassert.h"
@ -293,6 +292,46 @@ static void infer_completion_callback(void *args)
}
}
static void dnn_free_model_ov(DNNModel **model)
{
if (*model){
OVModel *ov_model = (*model)->model;
while (ff_safe_queue_size(ov_model->request_queue) != 0) {
OVRequestItem *item = ff_safe_queue_pop_front(ov_model->request_queue);
if (item && item->infer_request) {
ie_infer_request_free(&item->infer_request);
}
av_freep(&item->lltasks);
av_freep(&item);
}
ff_safe_queue_destroy(ov_model->request_queue);
while (ff_queue_size(ov_model->lltask_queue) != 0) {
LastLevelTaskItem *item = ff_queue_pop_front(ov_model->lltask_queue);
av_freep(&item);
}
ff_queue_destroy(ov_model->lltask_queue);
while (ff_queue_size(ov_model->task_queue) != 0) {
TaskItem *item = ff_queue_pop_front(ov_model->task_queue);
av_frame_free(&item->in_frame);
av_frame_free(&item->out_frame);
av_freep(&item);
}
ff_queue_destroy(ov_model->task_queue);
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);
}
}
static int init_model_ov(OVModel *ov_model, const char *input_name, const char *output_name)
{
int ret = 0;
@ -438,7 +477,7 @@ static int init_model_ov(OVModel *ov_model, const char *input_name, const char *
return 0;
err:
ff_dnn_free_model_ov(&ov_model->model);
dnn_free_model_ov(&ov_model->model);
return ret;
}
@ -721,7 +760,7 @@ err:
return ret;
}
DNNModel *ff_dnn_load_model_ov(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
static DNNModel *dnn_load_model_ov(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
{
DNNModel *model = NULL;
OVModel *ov_model = NULL;
@ -806,11 +845,11 @@ DNNModel *ff_dnn_load_model_ov(const char *model_filename, DNNFunctionType func_
return model;
err:
ff_dnn_free_model_ov(&model);
dnn_free_model_ov(&model);
return NULL;
}
int ff_dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *exec_params)
static int dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *exec_params)
{
OVModel *ov_model = model->model;
OVContext *ctx = &ov_model->ctx;
@ -893,13 +932,13 @@ int ff_dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *exec_param
}
}
DNNAsyncStatusType ff_dnn_get_result_ov(const DNNModel *model, AVFrame **in, AVFrame **out)
static DNNAsyncStatusType dnn_get_result_ov(const DNNModel *model, AVFrame **in, AVFrame **out)
{
OVModel *ov_model = model->model;
return ff_dnn_get_result_common(ov_model->task_queue, in, out);
}
int ff_dnn_flush_ov(const DNNModel *model)
static int dnn_flush_ov(const DNNModel *model)
{
OVModel *ov_model = model->model;
OVContext *ctx = &ov_model->ctx;
@ -937,41 +976,10 @@ int ff_dnn_flush_ov(const DNNModel *model)
return 0;
}
void ff_dnn_free_model_ov(DNNModel **model)
{
if (*model){
OVModel *ov_model = (*model)->model;
while (ff_safe_queue_size(ov_model->request_queue) != 0) {
OVRequestItem *item = ff_safe_queue_pop_front(ov_model->request_queue);
if (item && item->infer_request) {
ie_infer_request_free(&item->infer_request);
}
av_freep(&item->lltasks);
av_freep(&item);
}
ff_safe_queue_destroy(ov_model->request_queue);
while (ff_queue_size(ov_model->lltask_queue) != 0) {
LastLevelTaskItem *item = ff_queue_pop_front(ov_model->lltask_queue);
av_freep(&item);
}
ff_queue_destroy(ov_model->lltask_queue);
while (ff_queue_size(ov_model->task_queue) != 0) {
TaskItem *item = ff_queue_pop_front(ov_model->task_queue);
av_frame_free(&item->in_frame);
av_frame_free(&item->out_frame);
av_freep(&item);
}
ff_queue_destroy(ov_model->task_queue);
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);
}
}
const DNNModule ff_dnn_backend_openvino = {
.load_model = dnn_load_model_ov,
.execute_model = dnn_execute_model_ov,
.get_result = dnn_get_result_ov,
.flush = dnn_flush_ov,
.free_model = dnn_free_model_ov,
};

40
libavfilter/dnn/dnn_backend_openvino.h
View File

@ -1,40 +0,0 @@
/*
* 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 inference functions interface for OpenVINO backend.
*/
#ifndef AVFILTER_DNN_DNN_BACKEND_OPENVINO_H
#define AVFILTER_DNN_DNN_BACKEND_OPENVINO_H
#include "../dnn_interface.h"
DNNModel *ff_dnn_load_model_ov(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
int ff_dnn_execute_model_ov(const DNNModel *model, DNNExecBaseParams *exec_params);
DNNAsyncStatusType ff_dnn_get_result_ov(const DNNModel *model, AVFrame **in, AVFrame **out);
int ff_dnn_flush_ov(const DNNModel *model);
void ff_dnn_free_model_ov(DNNModel **model);
#endif

101
libavfilter/dnn/dnn_backend_tf.c
View File

@ -23,7 +23,6 @@
* DNN tensorflow backend implementation.
*/
#include "dnn_backend_tf.h"
#include "libavformat/avio.h"
#include "libavutil/avassert.h"
#include "libavutil/avstring.h"
@ -477,7 +476,48 @@ static int load_tf_model(TFModel *tf_model, const char *model_filename)
#define NAME_BUFFER_SIZE 256
DNNModel *ff_dnn_load_model_tf(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
static void dnn_free_model_tf(DNNModel **model)
{
TFModel *tf_model;
if (*model){
tf_model = (*model)->model;
while (ff_safe_queue_size(tf_model->request_queue) != 0) {
TFRequestItem *item = ff_safe_queue_pop_front(tf_model->request_queue);
destroy_request_item(&item);
}
ff_safe_queue_destroy(tf_model->request_queue);
while (ff_queue_size(tf_model->lltask_queue) != 0) {
LastLevelTaskItem *item = ff_queue_pop_front(tf_model->lltask_queue);
av_freep(&item);
}
ff_queue_destroy(tf_model->lltask_queue);
while (ff_queue_size(tf_model->task_queue) != 0) {
TaskItem *item = ff_queue_pop_front(tf_model->task_queue);
av_frame_free(&item->in_frame);
av_frame_free(&item->out_frame);
av_freep(&item);
}
ff_queue_destroy(tf_model->task_queue);
if (tf_model->graph){
TF_DeleteGraph(tf_model->graph);
}
if (tf_model->session){
TF_CloseSession(tf_model->session, tf_model->status);
TF_DeleteSession(tf_model->session, tf_model->status);
}
if (tf_model->status){
TF_DeleteStatus(tf_model->status);
}
av_freep(&tf_model);
av_freep(model);
}
}
static DNNModel *dnn_load_model_tf(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx)
{
DNNModel *model = NULL;
TFModel *tf_model = NULL;
@ -567,7 +607,7 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename, DNNFunctionType func_
return model;
err:
ff_dnn_free_model_tf(&model);
dnn_free_model_tf(&model);
return NULL;
}
@ -765,11 +805,11 @@ err:
if (ff_safe_queue_push_back(tf_model->request_queue, request) < 0) {
destroy_request_item(&request);
}
ff_dnn_free_model_tf(&tf_model->model);
dnn_free_model_tf(&tf_model->model);
return ret;
}
int ff_dnn_execute_model_tf(const DNNModel *model, DNNExecBaseParams *exec_params)
static int dnn_execute_model_tf(const DNNModel *model, DNNExecBaseParams *exec_params)
{
TFModel *tf_model = model->model;
TFContext *ctx = &tf_model->ctx;
@ -817,13 +857,13 @@ int ff_dnn_execute_model_tf(const DNNModel *model, DNNExecBaseParams *exec_param
return execute_model_tf(request, tf_model->lltask_queue);
}
DNNAsyncStatusType ff_dnn_get_result_tf(const DNNModel *model, AVFrame **in, AVFrame **out)
static DNNAsyncStatusType dnn_get_result_tf(const DNNModel *model, AVFrame **in, AVFrame **out)
{
TFModel *tf_model = model->model;
return ff_dnn_get_result_common(tf_model->task_queue, in, out);
}
int ff_dnn_flush_tf(const DNNModel *model)
static int dnn_flush_tf(const DNNModel *model)
{
TFModel *tf_model = model->model;
TFContext *ctx = &tf_model->ctx;
@ -853,43 +893,10 @@ int ff_dnn_flush_tf(const DNNModel *model)
return ff_dnn_start_inference_async(ctx, &request->exec_module);
}
void ff_dnn_free_model_tf(DNNModel **model)
{
TFModel *tf_model;
if (*model){
tf_model = (*model)->model;
while (ff_safe_queue_size(tf_model->request_queue) != 0) {
TFRequestItem *item = ff_safe_queue_pop_front(tf_model->request_queue);
destroy_request_item(&item);
}
ff_safe_queue_destroy(tf_model->request_queue);
while (ff_queue_size(tf_model->lltask_queue) != 0) {
LastLevelTaskItem *item = ff_queue_pop_front(tf_model->lltask_queue);
av_freep(&item);
}
ff_queue_destroy(tf_model->lltask_queue);
while (ff_queue_size(tf_model->task_queue) != 0) {
TaskItem *item = ff_queue_pop_front(tf_model->task_queue);
av_frame_free(&item->in_frame);
av_frame_free(&item->out_frame);
av_freep(&item);
}
ff_queue_destroy(tf_model->task_queue);
if (tf_model->graph){
TF_DeleteGraph(tf_model->graph);
}
if (tf_model->session){
TF_CloseSession(tf_model->session, tf_model->status);
TF_DeleteSession(tf_model->session, tf_model->status);
}
if (tf_model->status){
TF_DeleteStatus(tf_model->status);
}
av_freep(&tf_model);
av_freep(model);
}
}
const DNNModule ff_dnn_backend_tf = {
.load_model = dnn_load_model_tf,
.execute_model = dnn_execute_model_tf,
.get_result = dnn_get_result_tf,
.flush = dnn_flush_tf,
.free_model = dnn_free_model_tf,
};

40
libavfilter/dnn/dnn_backend_tf.h
View File

@ -1,40 +0,0 @@
/*
* Copyright (c) 2018 Sergey Lavrushkin
*
* 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 inference functions interface for TensorFlow backend.
*/
#ifndef AVFILTER_DNN_DNN_BACKEND_TF_H
#define AVFILTER_DNN_DNN_BACKEND_TF_H
#include "../dnn_interface.h"
DNNModel *ff_dnn_load_model_tf(const char *model_filename, DNNFunctionType func_type, const char *options, AVFilterContext *filter_ctx);
int ff_dnn_execute_model_tf(const DNNModel *model, DNNExecBaseParams *exec_params);
DNNAsyncStatusType ff_dnn_get_result_tf(const DNNModel *model, AVFrame **in, AVFrame **out);
int ff_dnn_flush_tf(const DNNModel *model);
void ff_dnn_free_model_tf(DNNModel **model);
#endif

17
libavfilter/dnn/dnn_interface.c
View File

@ -24,10 +24,11 @@
*/
#include "../dnn_interface.h"
#include "dnn_backend_tf.h"
#include "dnn_backend_openvino.h"
#include "libavutil/mem.h"
extern const DNNModule ff_dnn_backend_openvino;
extern const DNNModule ff_dnn_backend_tf;
DNNModule *ff_get_dnn_module(DNNBackendType backend_type)
{
DNNModule *dnn_module;
@ -40,11 +41,7 @@ DNNModule *ff_get_dnn_module(DNNBackendType backend_type)
switch(backend_type){
case DNN_TF:
#if (CONFIG_LIBTENSORFLOW == 1)
dnn_module->load_model = &ff_dnn_load_model_tf;
dnn_module->execute_model = &ff_dnn_execute_model_tf;
dnn_module->get_result = &ff_dnn_get_result_tf;
dnn_module->flush = &ff_dnn_flush_tf;
dnn_module->free_model = &ff_dnn_free_model_tf;
*dnn_module = ff_dnn_backend_tf;
#else
av_freep(&dnn_module);
return NULL;
@ -52,11 +49,7 @@ DNNModule *ff_get_dnn_module(DNNBackendType backend_type)
break;
case DNN_OV:
#if (CONFIG_LIBOPENVINO == 1)
dnn_module->load_model = &ff_dnn_load_model_ov;
dnn_module->execute_model = &ff_dnn_execute_model_ov;
dnn_module->get_result = &ff_dnn_get_result_ov;
dnn_module->flush = &ff_dnn_flush_ov;
dnn_module->free_model = &ff_dnn_free_model_ov;
*dnn_module = ff_dnn_backend_openvino;
#else
av_freep(&dnn_module);
return NULL;