lavfi/dnn: refine code for frame pre/proc processing

3 files changed, 12 insertions, 12 deletions

diff --git a/libavfilter/dnn/dnn_backend_native.c b/libavfilter/dnn/dnn_backend_native.c
index d8ae36c52d..d9762eeaf6 100644
--- a/libavfilter/dnn/dnn_backend_native.c
+++ b/libavfilter/dnn/dnn_backend_native.c
@@ -310,8 +310,8 @@ static DNNReturnType execute_model_native(const DNNModel *model, const char *inp
     input.data = oprd->data;
     input.dt = oprd->data_type;
     if (do_ioproc) {
-        if (native_model->model->pre_proc != NULL) {
-            native_model->model->pre_proc(in_frame, &input, native_model->model->filter_ctx);
+        if (native_model->model->frame_pre_proc != NULL) {
+            native_model->model->frame_pre_proc(in_frame, &input, native_model->model->filter_ctx);
         } else {
             ff_proc_from_frame_to_dnn(in_frame, &input, native_model->model->func_type, ctx);
         }
@@ -358,8 +358,8 @@ static DNNReturnType execute_model_native(const DNNModel *model, const char *inp
         output.dt = oprd->data_type;
 
         if (do_ioproc) {
-            if (native_model->model->post_proc != NULL) {
-                native_model->model->post_proc(out_frame, &output, native_model->model->filter_ctx);
+            if (native_model->model->frame_post_proc != NULL) {
+                native_model->model->frame_post_proc(out_frame, &output, native_model->model->filter_ctx);
             } else {
                 ff_proc_from_dnn_to_frame(out_frame, &output, ctx);
             }
diff --git a/libavfilter/dnn/dnn_backend_openvino.c b/libavfilter/dnn/dnn_backend_openvino.c
index 66845fbd51..3bea2d526a 100644
--- a/libavfilter/dnn/dnn_backend_openvino.c
+++ b/libavfilter/dnn/dnn_backend_openvino.c
@@ -166,8 +166,8 @@ static DNNReturnType fill_model_input_ov(OVModel *ov_model, RequestItem *request
     for (int i = 0; i < request->task_count; ++i) {
         task = request->tasks[i];
         if (task->do_ioproc) {
-            if (ov_model->model->pre_proc != NULL) {
-                ov_model->model->pre_proc(task->in_frame, &input, ov_model->model->filter_ctx);
+            if (ov_model->model->frame_pre_proc != NULL) {
+                ov_model->model->frame_pre_proc(task->in_frame, &input, ov_model->model->filter_ctx);
             } else {
                 ff_proc_from_frame_to_dnn(task->in_frame, &input, ov_model->model->func_type, ctx);
             }
@@ -237,8 +237,8 @@ static void infer_completion_callback(void *args)
     for (int i = 0; i < request->task_count; ++i) {
         task = request->tasks[i];
         if (task->do_ioproc) {
-            if (task->ov_model->model->post_proc != NULL) {
-                task->ov_model->model->post_proc(task->out_frame, &output, task->ov_model->model->filter_ctx);
+            if (task->ov_model->model->frame_post_proc != NULL) {
+                task->ov_model->model->frame_post_proc(task->out_frame, &output, task->ov_model->model->filter_ctx);
             } else {
                 ff_proc_from_dnn_to_frame(task->out_frame, &output, ctx);
             }
diff --git a/libavfilter/dnn/dnn_backend_tf.c b/libavfilter/dnn/dnn_backend_tf.c
index c0aa510630..fb799d2b70 100644
--- a/libavfilter/dnn/dnn_backend_tf.c
+++ b/libavfilter/dnn/dnn_backend_tf.c
@@ -756,8 +756,8 @@ static DNNReturnType execute_model_tf(const DNNModel *model, const char *input_n
     input.data = (float *)TF_TensorData(input_tensor);
 
     if (do_ioproc) {
-        if (tf_model->model->pre_proc != NULL) {
-            tf_model->model->pre_proc(in_frame, &input, tf_model->model->filter_ctx);
+        if (tf_model->model->frame_pre_proc != NULL) {
+            tf_model->model->frame_pre_proc(in_frame, &input, tf_model->model->filter_ctx);
         } else {
             ff_proc_from_frame_to_dnn(in_frame, &input, tf_model->model->func_type, ctx);
         }
@@ -818,8 +818,8 @@ static DNNReturnType execute_model_tf(const DNNModel *model, const char *input_n
         output.dt = TF_TensorType(output_tensors[i]);
 
         if (do_ioproc) {
-            if (tf_model->model->post_proc != NULL) {
-                tf_model->model->post_proc(out_frame, &output, tf_model->model->filter_ctx);
+            if (tf_model->model->frame_post_proc != NULL) {
+                tf_model->model->frame_post_proc(out_frame, &output, tf_model->model->filter_ctx);
             } else {
                 ff_proc_from_dnn_to_frame(out_frame, &output, ctx);
             }