diff --git a/libavfilter/vf_dnn_processing.c b/libavfilter/vf_dnn_processing.c
index f59cfb0da2..ce976ec3bd 100644
--- a/libavfilter/vf_dnn_processing.c
+++ b/libavfilter/vf_dnn_processing.c
@@ -136,40 +136,40 @@ static int config_input(AVFilterLink *inlink)
     AVFilterContext *context     = inlink->dst;
     DnnProcessingContext *ctx = context->priv;
     DNNReturnType result;
-    DNNData dnn_data;
+    DNNData model_input;
 
-    result = ctx->model->get_input(ctx->model->model, &dnn_data, ctx->model_inputname);
+    result = ctx->model->get_input(ctx->model->model, &model_input, ctx->model_inputname);
     if (result != DNN_SUCCESS) {
         av_log(ctx, AV_LOG_ERROR, "could not get input from the model\n");
         return AVERROR(EIO);
     }
 
     // the design is to add explicit scale filter before this filter
-    if (dnn_data.height != -1 && dnn_data.height != inlink->h) {
+    if (model_input.height != -1 && model_input.height != inlink->h) {
         av_log(ctx, AV_LOG_ERROR, "the model requires frame height %d but got %d\n",
-                                   dnn_data.height, inlink->h);
+                                   model_input.height, inlink->h);
         return AVERROR(EIO);
     }
-    if (dnn_data.width != -1 && dnn_data.width != inlink->w) {
+    if (model_input.width != -1 && model_input.width != inlink->w) {
         av_log(ctx, AV_LOG_ERROR, "the model requires frame width %d but got %d\n",
-                                   dnn_data.width, inlink->w);
+                                   model_input.width, inlink->w);
         return AVERROR(EIO);
     }
 
-    if (dnn_data.channels != 3) {
+    if (model_input.channels != 3) {
         av_log(ctx, AV_LOG_ERROR, "the model requires input channels %d\n",
-                                   dnn_data.channels);
+                                   model_input.channels);
         return AVERROR(EIO);
     }
-    if (dnn_data.dt != DNN_FLOAT && dnn_data.dt != DNN_UINT8) {
+    if (model_input.dt != DNN_FLOAT && model_input.dt != DNN_UINT8) {
         av_log(ctx, AV_LOG_ERROR, "only support dnn models with input data type as float32 and uint8.\n");
         return AVERROR(EIO);
     }
 
     ctx->input.width    = inlink->w;
     ctx->input.height   = inlink->h;
-    ctx->input.channels = dnn_data.channels;
-    ctx->input.dt = dnn_data.dt;
+    ctx->input.channels = model_input.channels;
+    ctx->input.dt = model_input.dt;
 
     result = (ctx->model->set_input_output)(ctx->model->model,
                                         &ctx->input, ctx->model_inputname,
@@ -201,28 +201,28 @@ static int config_output(AVFilterLink *outlink)
     return 0;
 }
 
-static int copy_from_frame_to_dnn(DNNData *dnn_data, const AVFrame *in)
+static int copy_from_frame_to_dnn(DNNData *dnn_input, const AVFrame *frame)
 {
     // extend this function to support more formats
-    av_assert0(in->format == AV_PIX_FMT_RGB24 || in->format == AV_PIX_FMT_BGR24);
+    av_assert0(frame->format == AV_PIX_FMT_RGB24 || frame->format == AV_PIX_FMT_BGR24);
 
-    if (dnn_data->dt == DNN_FLOAT) {
-        float *dnn_input = dnn_data->data;
-        for (int i = 0; i < in->height; i++) {
-            for(int j = 0; j < in->width * 3; j++) {
-                int k = i * in->linesize[0] + j;
-                int t = i * in->width * 3 + j;
-                dnn_input[t] = in->data[0][k] / 255.0f;
+    if (dnn_input->dt == DNN_FLOAT) {
+        float *dnn_input_data = dnn_input->data;
+        for (int i = 0; i < frame->height; i++) {
+            for(int j = 0; j < frame->width * 3; j++) {
+                int k = i * frame->linesize[0] + j;
+                int t = i * frame->width * 3 + j;
+                dnn_input_data[t] = frame->data[0][k] / 255.0f;
             }
         }
     } else {
-        uint8_t *dnn_input = dnn_data->data;
-        av_assert0(dnn_data->dt == DNN_UINT8);
-        for (int i = 0; i < in->height; i++) {
-            for(int j = 0; j < in->width * 3; j++) {
-                int k = i * in->linesize[0] + j;
-                int t = i * in->width * 3 + j;
-                dnn_input[t] = in->data[0][k];
+        uint8_t *dnn_input_data = dnn_input->data;
+        av_assert0(dnn_input->dt == DNN_UINT8);
+        for (int i = 0; i < frame->height; i++) {
+            for(int j = 0; j < frame->width * 3; j++) {
+                int k = i * frame->linesize[0] + j;
+                int t = i * frame->width * 3 + j;
+                dnn_input_data[t] = frame->data[0][k];
             }
         }
     }
@@ -230,28 +230,28 @@ static int copy_from_frame_to_dnn(DNNData *dnn_data, const AVFrame *in)
     return 0;
 }
 
-static int copy_from_dnn_to_frame(AVFrame *out, const DNNData *dnn_data)
+static int copy_from_dnn_to_frame(AVFrame *frame, const DNNData *dnn_output)
 {
     // extend this function to support more formats
-    av_assert0(out->format == AV_PIX_FMT_RGB24 || out->format == AV_PIX_FMT_BGR24);
+    av_assert0(frame->format == AV_PIX_FMT_RGB24 || frame->format == AV_PIX_FMT_BGR24);
 
-    if (dnn_data->dt == DNN_FLOAT) {
-        float *dnn_output = dnn_data->data;
-        for (int i = 0; i < out->height; i++) {
-            for(int j = 0; j < out->width * 3; j++) {
-                int k = i * out->linesize[0] + j;
-                int t = i * out->width * 3 + j;
-                out->data[0][k] = av_clip_uintp2((int)(dnn_output[t] * 255.0f), 8);
+    if (dnn_output->dt == DNN_FLOAT) {
+        float *dnn_output_data = dnn_output->data;
+        for (int i = 0; i < frame->height; i++) {
+            for(int j = 0; j < frame->width * 3; j++) {
+                int k = i * frame->linesize[0] + j;
+                int t = i * frame->width * 3 + j;
+                frame->data[0][k] = av_clip_uintp2((int)(dnn_output_data[t] * 255.0f), 8);
             }
         }
     } else {
-        uint8_t *dnn_output = dnn_data->data;
-        av_assert0(dnn_data->dt == DNN_UINT8);
-        for (int i = 0; i < out->height; i++) {
-            for(int j = 0; j < out->width * 3; j++) {
-                int k = i * out->linesize[0] + j;
-                int t = i * out->width * 3 + j;
-                out->data[0][k] = dnn_output[t];
+        uint8_t *dnn_output_data = dnn_output->data;
+        av_assert0(dnn_output->dt == DNN_UINT8);
+        for (int i = 0; i < frame->height; i++) {
+            for(int j = 0; j < frame->width * 3; j++) {
+                int k = i * frame->linesize[0] + j;
+                int t = i * frame->width * 3 + j;
+                frame->data[0][k] = dnn_output_data[t];
             }
         }
     }