lavfi/dnn: refine dnn interface to add DNNExecBaseParams

Different function type of model requires different parameters, for
example, object detection detects lots of objects (cat/dog/...) in
the frame, and classifcation needs to know which object (cat or dog)
it is going to classify.

The current interface needs to add a new function with more parameters
to support new requirement, with this change, we can just add a new
struct (for example DNNExecClassifyParams) based on DNNExecBaseParams,
and so we can continue to use the current interface execute_model just
with params changed.

1 files changed, 1 insertions, 0 deletions

diff --git a/libavfilter/dnn/Makefile b/libavfilter/dnn/Makefile
index d6d58f4b61..4cfbce0efc 100644
--- a/libavfilter/dnn/Makefile
+++ b/libavfilter/dnn/Makefile
@@ -2,6 +2,7 @@ OBJS-$(CONFIG_DNN)                           += dnn/dnn_interface.o
 OBJS-$(CONFIG_DNN)                           += dnn/dnn_io_proc.o
 OBJS-$(CONFIG_DNN)                           += dnn/queue.o
 OBJS-$(CONFIG_DNN)                           += dnn/safe_queue.o
+OBJS-$(CONFIG_DNN)                           += dnn/dnn_backend_common.o
 OBJS-$(CONFIG_DNN)                           += dnn/dnn_backend_native.o
 OBJS-$(CONFIG_DNN)                           += dnn/dnn_backend_native_layers.o
 OBJS-$(CONFIG_DNN)                           += dnn/dnn_backend_native_layer_avgpool.o