libavfilter: Unify Execution Modes in DNN Filters

This commit unifies the async and sync mode from the DNN filters'
perspective. As of this commit, the Native backend only supports
synchronous execution mode.

Now the user can switch between async and sync mode by using the
'async' option in the backend_configs. The values can be 1 for
async and 0 for sync mode of execution.

This commit affects the following filters:
1. vf_dnn_classify
2. vf_dnn_detect
3. vf_dnn_processing
4. vf_sr
5. vf_derain

This commit also updates the filters vf_dnn_detect and vf_dnn_classify
to send only the input frame and send NULL as output frame instead of
input frame to the DNN backends.

Signed-off-by: Shubhanshu Saxena <shubhanshu.e01@gmail.com>

1 files changed, 3 insertions, 20 deletions

diff --git a/libavfilter/dnn_filter_common.c b/libavfilter/dnn_filter_common.c
index fcee7482c3..455eaa37f4 100644
--- a/libavfilter/dnn_filter_common.c
+++ b/libavfilter/dnn_filter_common.c
@@ -84,11 +84,6 @@ int ff_dnn_init(DnnContext *ctx, DNNFunctionType func_type, AVFilterContext *fil
         return AVERROR(EINVAL);
     }
 
-    if (!ctx->dnn_module->execute_model_async && ctx->async) {
-        ctx->async = 0;
-        av_log(filter_ctx, AV_LOG_WARNING, "this backend does not support async execution, roll back to sync.\n");
-    }
-
 #if !HAVE_PTHREAD_CANCEL
     if (ctx->async) {
         ctx->async = 0;
@@ -141,18 +136,6 @@ DNNReturnType ff_dnn_execute_model(DnnContext *ctx, AVFrame *in_frame, AVFrame *
     return (ctx->dnn_module->execute_model)(ctx->model, &exec_params);
 }
 
-DNNReturnType ff_dnn_execute_model_async(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame)
-{
-    DNNExecBaseParams exec_params = {
-        .input_name     = ctx->model_inputname,
-        .output_names   = (const char **)ctx->model_outputnames,
-        .nb_output      = ctx->nb_outputs,
-        .in_frame       = in_frame,
-        .out_frame      = out_frame,
-    };
-    return (ctx->dnn_module->execute_model_async)(ctx->model, &exec_params);
-}
-
 DNNReturnType ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_frame, AVFrame *out_frame, const char *target)
 {
     DNNExecClassificationParams class_params = {
@@ -165,12 +148,12 @@ DNNReturnType ff_dnn_execute_model_classification(DnnContext *ctx, AVFrame *in_f
         },
         .target = target,
     };
-    return (ctx->dnn_module->execute_model_async)(ctx->model, &class_params.base);
+    return (ctx->dnn_module->execute_model)(ctx->model, &class_params.base);
 }
 
-DNNAsyncStatusType ff_dnn_get_async_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame)
+DNNAsyncStatusType ff_dnn_get_result(DnnContext *ctx, AVFrame **in_frame, AVFrame **out_frame)
 {
-    return (ctx->dnn_module->get_async_result)(ctx->model, in_frame, out_frame);
+    return (ctx->dnn_module->get_result)(ctx->model, in_frame, out_frame);
 }
 
 DNNReturnType ff_dnn_flush(DnnContext *ctx)