lavfi/dnn: Common Function to Get Async Result in DNN Backends
This commits refactors the get async result function for common use in all three backends. Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>
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@ -122,3 +122,23 @@ DNNReturnType ff_dnn_start_inference_async(void *ctx, DNNAsyncExecModule *async_
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#endif
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return DNN_SUCCESS;
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}
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DNNAsyncStatusType ff_dnn_get_async_result_common(Queue *task_queue, AVFrame **in, AVFrame **out)
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{
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TaskItem *task = ff_queue_peek_front(task_queue);
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if (!task) {
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return DAST_EMPTY_QUEUE;
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}
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if (task->inference_done != task->inference_todo) {
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return DAST_NOT_READY;
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}
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*in = task->in_frame;
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*out = task->out_frame;
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ff_queue_pop_front(task_queue);
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av_freep(&task);
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return DAST_SUCCESS;
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}
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@ -24,6 +24,7 @@
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#ifndef AVFILTER_DNN_DNN_BACKEND_COMMON_H
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#define AVFILTER_DNN_DNN_BACKEND_COMMON_H
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#include "queue.h"
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#include "../dnn_interface.h"
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#include "libavutil/thread.h"
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@ -122,4 +123,18 @@ DNNReturnType ff_dnn_async_module_cleanup(DNNAsyncExecModule *async_module);
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*/
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DNNReturnType ff_dnn_start_inference_async(void *ctx, DNNAsyncExecModule *async_module);
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/**
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* Extract input and output frame from the Task Queue after
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* asynchronous inference.
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*
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* @param task_queue pointer to the task queue of the backend
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* @param in double pointer to the input frame
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* @param out double pointer to the output frame
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*
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* @retval DAST_EMPTY_QUEUE if task queue is empty
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* @retval DAST_NOT_READY if inference not completed yet.
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* @retval DAST_SUCCESS if result successfully extracted
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*/
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DNNAsyncStatusType ff_dnn_get_async_result_common(Queue *task_queue, AVFrame **in, AVFrame **out);
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#endif
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@ -32,7 +32,6 @@
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#include "libavutil/avstring.h"
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#include "libavutil/detection_bbox.h"
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#include "../internal.h"
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#include "queue.h"
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#include "safe_queue.h"
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#include <c_api/ie_c_api.h>
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#include "dnn_backend_common.h"
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@ -883,22 +882,7 @@ DNNReturnType ff_dnn_execute_model_async_ov(const DNNModel *model, DNNExecBasePa
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DNNAsyncStatusType ff_dnn_get_async_result_ov(const DNNModel *model, AVFrame **in, AVFrame **out)
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{
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OVModel *ov_model = model->model;
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TaskItem *task = ff_queue_peek_front(ov_model->task_queue);
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if (!task) {
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return DAST_EMPTY_QUEUE;
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}
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if (task->inference_done != task->inference_todo) {
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return DAST_NOT_READY;
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}
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*in = task->in_frame;
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*out = task->out_frame;
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ff_queue_pop_front(ov_model->task_queue);
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av_freep(&task);
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return DAST_SUCCESS;
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return ff_dnn_get_async_result_common(ov_model->task_queue, in, out);
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}
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DNNReturnType ff_dnn_flush_ov(const DNNModel *model)
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@ -18,6 +18,7 @@
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include <stddef.h>
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#ifndef AVFILTER_DNN_QUEUE_H
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#define AVFILTER_DNN_QUEUE_H
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