add enableWinograd API for Net.

modules/dnn/include/opencv2/dnn/all_layers.hpp

@@ -259,6 +259,7 @@ CV__DNN_INLINE_NS_BEGIN
         bool fusedActivation = false;
         bool fusedAdd = false;
         bool isConv2D = false; // Should be deleted after fastconv branch support Conv1D and Conv3D.
+        bool useWinograd = false; // Flag whether to use Winograd to speed up 3x3 convolution.
     };
 
     class CV_EXPORTS ConvolutionLayerInt8 : public BaseConvolutionLayer
@@ -270,6 +271,7 @@ CV__DNN_INLINE_NS_BEGIN
         // quantization type flag. The perChannel default is true, that means it contains the parameters
         // of per-Channel quantization. Otherwise, that means this layer contains per-Tensor quantized parameters.
         bool per_channel;
+        bool useWinograd = true; // Flag whether to use Winograd to speed up 3x3 convolution.
         static Ptr<BaseConvolutionLayer> create(const LayerParams& params);
     };
 

modules/dnn/include/opencv2/dnn/dnn.hpp

@@ -837,6 +837,12 @@ CV__DNN_INLINE_NS_BEGIN
          */
         CV_WRAP void enableFusion(bool fusion);
 
+        /** @brief Enables or disables the Winograd compute branch. The Winograd compute branch can speed up
+         * 3x3 Convolution at a small loss of accuracy.
+        * @param useWinograd true to enable the Winograd compute branch. The default is true.
+        */
+        CV_WRAP void enableWinograd(bool useWinograd);
+
         /** @brief Returns overall time for inference and timings (in ticks) for layers.
          *
          * Indexes in returned vector correspond to layers ids. Some layers can be fused with others,