Specify layer types for Caffe FP32->FP16 weights converter

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

@@ -726,13 +726,17 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
      * @param src Path to origin model from Caffe framework contains single
      *            precision floating point weights (usually has `.caffemodel` extension).
      * @param dst Path to destination model with updated weights.
+     * @param layersTypes Set of layers types which parameters will be converted.
+     *                    By default, converts only Convolutional and Fully-Connected layers'
+     *                    weights.
      *
      * @note Shrinked model has no origin float32 weights so it can't be used
      *       in origin Caffe framework anymore. However the structure of data
      *       is taken from NVidia's Caffe fork: https://github.com/NVIDIA/caffe.
      *       So the resulting model may be used there.
      */
-    CV_EXPORTS_W void shrinkCaffeModel(const String& src, const String& dst);
+    CV_EXPORTS_W void shrinkCaffeModel(const String& src, const String& dst,
+                                       const std::vector<String>& layersTypes = std::vector<String>());
 
     /** @brief Performs non maximum suppression given boxes and corresponding scores.
 

modules/dnn/src/caffe/caffe_shrinker.cpp

@@ -17,16 +17,27 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
 
 #ifdef HAVE_PROTOBUF
 
-void shrinkCaffeModel(const String& src, const String& dst)
+void shrinkCaffeModel(const String& src, const String& dst, const std::vector<String>& layersTypes)
 {
     CV_TRACE_FUNCTION();
 
+    std::vector<String> types(layersTypes);
+    if (types.empty())
+    {
+        types.push_back("Convolution");
+        types.push_back("InnerProduct");
+    }
+
     caffe::NetParameter net;
     ReadNetParamsFromBinaryFileOrDie(src.c_str(), &net);
 
     for (int i = 0; i < net.layer_size(); ++i)
     {
         caffe::LayerParameter* lp = net.mutable_layer(i);
+        if (std::find(types.begin(), types.end(), lp->type()) == types.end())
+        {
+            continue;
+        }
         for (int j = 0; j < lp->blobs_size(); ++j)
         {
             caffe::BlobProto* blob = lp->mutable_blobs(j);
@@ -54,7 +65,7 @@ void shrinkCaffeModel(const String& src, const String& dst)
 
 #else
 
-void shrinkCaffeModel(const String& src, const String& dst)
+void shrinkCaffeModel(const String& src, const String& dst, const std::vector<String>& types)
 {
     CV_Error(cv::Error::StsNotImplemented, "libprotobuf required to import data from Caffe models");
 }