dnn: add userdata for load model parameter

the userdata will be used for the interaction between AVFrame and DNNData

libavfilter/dnn/dnn_backend_native.c

@@ -123,7 +123,7 @@ static DNNReturnType set_input_native(void *model, DNNData *input, const char *i
 // layers_num,layer_type,layer_parameterss,layer_type,layer_parameters...
 // For CONV layer: activation_function, input_num, output_num, kernel_size, kernel, biases
 // For DEPTH_TO_SPACE layer: block_size
-DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *options)
+DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *options, void *userdata)
 {
     DNNModel *model = NULL;
     char header_expected[] = "FFMPEGDNNNATIVE";
@@ -265,6 +265,7 @@ DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *optio
 
     model->set_input = &set_input_native;
     model->get_input = &get_input_native;
+    model->userdata = userdata;
 
     return model;
 

libavfilter/dnn/dnn_backend_native.h

@@ -125,7 +125,7 @@ typedef struct NativeModel{
     int32_t operands_num;
 } NativeModel;
 
-DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *options);
+DNNModel *ff_dnn_load_model_native(const char *model_filename, const char *options, void *userdata);
 
 DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output);
 

libavfilter/dnn/dnn_backend_openvino.c

@@ -174,7 +174,7 @@ err:
     return DNN_ERROR;
 }
 
-DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options)
+DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options, void *userdata)
 {
     char *all_dev_names = NULL;
     DNNModel *model = NULL;
@@ -230,6 +230,7 @@ DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options)
     model->set_input = &set_input_ov;
     model->get_input = &get_input_ov;
     model->options = options;
+    model->userdata = userdata;
 
     return model;
 

libavfilter/dnn/dnn_backend_openvino.h

@@ -29,7 +29,7 @@
 
 #include "../dnn_interface.h"
 
-DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options);
+DNNModel *ff_dnn_load_model_ov(const char *model_filename, const char *options, void *userdata);
 
 DNNReturnType ff_dnn_execute_model_ov(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output);
 

libavfilter/dnn/dnn_backend_tf.c

@@ -502,7 +502,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
     DNNModel *model = NULL;
     NativeModel *native_model;
 
-    model = ff_dnn_load_model_native(model_filename, NULL);
+    model = ff_dnn_load_model_native(model_filename, NULL, NULL);
     if (!model){
         av_log(ctx, AV_LOG_ERROR, "Failed to load native model\n");
         return DNN_ERROR;
@@ -586,7 +586,7 @@ static DNNReturnType load_native_model(TFModel *tf_model, const char *model_file
     return DNN_SUCCESS;
 }
 
-DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options)
+DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options, void *userdata)
 {
     DNNModel *model = NULL;
     TFModel *tf_model = NULL;
@@ -616,6 +616,7 @@ DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options)
     model->set_input = &set_input_tf;
     model->get_input = &get_input_tf;
     model->options = options;
+    model->userdata = userdata;
 
     return model;
 }

libavfilter/dnn/dnn_backend_tf.h

@@ -29,7 +29,7 @@
 
 #include "../dnn_interface.h"
 
-DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options);
+DNNModel *ff_dnn_load_model_tf(const char *model_filename, const char *options, void *userdata);
 
 DNNReturnType ff_dnn_execute_model_tf(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output);
 

libavfilter/dnn_interface.h

@@ -45,6 +45,8 @@ typedef struct DNNModel{
     void *model;
     // Stores options when the model is executed by the backend
     const char *options;
+    // Stores userdata used for the interaction between AVFrame and DNNData
+    void *userdata;
     // Gets model input information
     // Just reuse struct DNNData here, actually the DNNData.data field is not needed.
     DNNReturnType (*get_input)(void *model, DNNData *input, const char *input_name);
@@ -56,7 +58,7 @@ typedef struct DNNModel{
 // Stores pointers to functions for loading, executing, freeing DNN models for one of the backends.
 typedef struct DNNModule{
     // Loads model and parameters from given file. Returns NULL if it is not possible.
-    DNNModel *(*load_model)(const char *model_filename, const char *options);
+    DNNModel *(*load_model)(const char *model_filename, const char *options, void *userdata);
     // Executes model with specified input and output. Returns DNN_ERROR otherwise.
     DNNReturnType (*execute_model)(const DNNModel *model, DNNData *outputs, const char **output_names, uint32_t nb_output);
     // Frees memory allocated for model.

libavfilter/vf_derain.c

@@ -161,7 +161,7 @@ static av_cold int init(AVFilterContext *ctx)
         return AVERROR(EINVAL);
     }
 
-    dr_context->model = (dr_context->dnn_module->load_model)(dr_context->model_filename, NULL);
+    dr_context->model = (dr_context->dnn_module->load_model)(dr_context->model_filename, NULL, NULL);
     if (!dr_context->model) {
         av_log(ctx, AV_LOG_ERROR, "could not load DNN model\n");
         return AVERROR(EINVAL);

libavfilter/vf_dnn_processing.c

@@ -103,7 +103,7 @@ static av_cold int init(AVFilterContext *context)
         return AVERROR(EINVAL);
     }
 
-    ctx->model = (ctx->dnn_module->load_model)(ctx->model_filename, ctx->backend_options);
+    ctx->model = (ctx->dnn_module->load_model)(ctx->model_filename, ctx->backend_options, NULL);
     if (!ctx->model) {
         av_log(ctx, AV_LOG_ERROR, "could not load DNN model\n");
         return AVERROR(EINVAL);

libavfilter/vf_sr.c

@@ -81,7 +81,7 @@ static av_cold int init(AVFilterContext *context)
         av_log(context, AV_LOG_ERROR, "load_model for network was not specified\n");
         return AVERROR(EIO);
     }
-    sr_context->model = (sr_context->dnn_module->load_model)(sr_context->model_filename, NULL);
+    sr_context->model = (sr_context->dnn_module->load_model)(sr_context->model_filename, NULL, NULL);
     if (!sr_context->model){
         av_log(context, AV_LOG_ERROR, "could not load DNN model\n");
         return AVERROR(EIO);