avfilter/af_astats: fix initial values of variables

[ffmpeg] / libavfilter / dnn_backend_native.h

diff --git a/libavfilter/dnn_backend_native.h b/libavfilter/dnn_backend_native.h
index adbb7088b45312bade5254f3ce102ef423b4e548..e13a68a1681ca4776b2e7d6a3c7b5eefd389ebca 100644 (file)
--- a/libavfilter/dnn_backend_native.h
+++ b/libavfilter/dnn_backend_native.h
@@ -28,12 +28,42 @@
 #define AVFILTER_DNN_BACKEND_NATIVE_H
 
 #include "dnn_interface.h"
+#include "libavformat/avio.h"
 
-DNNModel *ff_dnn_load_model_native(const char *model_filename);
+typedef enum {INPUT, CONV, DEPTH_TO_SPACE} DNNLayerType;
+
+typedef enum {RELU, TANH, SIGMOID} DNNActivationFunc;
+
+typedef struct Layer{
+    DNNLayerType type;
+    float *output;
+    void *params;
+} Layer;
+
+typedef struct ConvolutionalParams{
+    int32_t input_num, output_num, kernel_size;
+    DNNActivationFunc activation;
+    float *kernel;
+    float *biases;
+} ConvolutionalParams;
 
-DNNModel *ff_dnn_load_default_model_native(DNNDefaultModel model_type);
+typedef struct InputParams{
+    int height, width, channels;
+} InputParams;
+
+typedef struct DepthToSpaceParams{
+    int block_size;
+} DepthToSpaceParams;
+
+// Represents simple feed-forward convolutional network.
+typedef struct ConvolutionalNetwork{
+    Layer *layers;
+    int32_t layers_num;
+} ConvolutionalNetwork;
+
+DNNModel *ff_dnn_load_model_native(const char *model_filename);
 
-DNNReturnType ff_dnn_execute_model_native(const DNNModel *model);
+DNNReturnType ff_dnn_execute_model_native(const DNNModel *model, DNNData *outputs, uint32_t nb_output);
 
 void ff_dnn_free_model_native(DNNModel **model);