message: Darknet_io: Parsing for cost layer added
diff: @@ -556,7 +556,7 @@ namespace cv {
  const size_t layer_type_size = line.find("]") - 1;
  CV_Assert(layer_type_size < line.size());
  std::string layer_type = line.substr(1, layer_type_size);
  - net->layers_cfg[layers_counter]["type"] = layer_type;
  + net->layers_cfg[layers_counter]["layer_type"] = layer_type;
  }
  break;
  default:
  @@ -599,7 +599,7 @@ namespace cv {
  for (it_type i = net->layers_cfg.begin(); i != net->layers_cfg.end(); ++i) {
  ++layers_counter;
  std::map<std::string, std::string> &layer_params = i->second;
  - std::string layer_type = layer_params["type"];
  + std::string layer_type = layer_params["layer_type"];
  if (layer_type == "convolutional")
  {
  @@ -682,7 +682,7 @@ namespace cv {
  else
  setParams.setConcat(layers_vec.size(), layers_vec.data());
  }
  - else if (layer_type == "dropout")
  + else if (layer_type == "dropout" || layer_type == "cost")
  {
  setParams.setIdentity(layers_counter-1);
  }
  @@ -806,7 +806,7 @@ namespace cv {
  ++darknet_layers_counter;
  ++cv_layers_counter;
  std::map<std::string, std::string> &layer_params = i->second;
  - std::string layer_type = layer_params["type"];
  + std::string layer_type = layer_params["layer_type"];
  if (layer_type == "convolutional" || layer_type == "connected")
  {
  