avfilter/af_afir: fix minp/maxp range and change default value for maxp

[ffmpeg] / libavfilter / dnn_interface.c

diff --git a/libavfilter/dnn_interface.c b/libavfilter/dnn_interface.c
index ce64fe58f397e4f0b76109d90946203f0e98ee3e..86fc2830246f5cbe3e509fdbc75af3f43b9eb68d 100644 (file)
--- a/libavfilter/dnn_interface.c
+++ b/libavfilter/dnn_interface.c
@@ -28,9 +28,9 @@
 #include "dnn_backend_tf.h"
 #include "libavutil/mem.h"
 
-DNNModule* ff_get_dnn_module(DNNBackendType backend_type)
+DNNModule *ff_get_dnn_module(DNNBackendType backend_type)
 {
-    DNNModule* dnn_module;
+    DNNModule *dnn_module;
 
     dnn_module = av_malloc(sizeof(DNNModule));
     if(!dnn_module){
@@ -40,20 +40,23 @@ DNNModule* ff_get_dnn_module(DNNBackendType backend_type)
     switch(backend_type){
     case DNN_NATIVE:
         dnn_module->load_model = &ff_dnn_load_model_native;
-        dnn_module->load_default_model = &ff_dnn_load_default_model_native;
         dnn_module->execute_model = &ff_dnn_execute_model_native;
         dnn_module->free_model = &ff_dnn_free_model_native;
         break;
     case DNN_TF:
     #if (CONFIG_LIBTENSORFLOW == 1)
         dnn_module->load_model = &ff_dnn_load_model_tf;
-        dnn_module->load_default_model = &ff_dnn_load_default_model_tf;
         dnn_module->execute_model = &ff_dnn_execute_model_tf;
         dnn_module->free_model = &ff_dnn_free_model_tf;
     #else
-        av_freep(dnn_module);
+        av_freep(&dnn_module);
         return NULL;
     #endif
+        break;
+    default:
+        av_log(NULL, AV_LOG_ERROR, "Module backend_type is not native or tensorflow\n");
+        av_freep(&dnn_module);
+        return NULL;
     }
 
     return dnn_module;