Merge pull request #9028 from alalek:dnn_experimental_namespace

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

@@ -43,10 +43,9 @@
 #define OPENCV_DNN_DNN_ALL_LAYERS_HPP
 #include <opencv2/dnn.hpp>
 
-namespace cv
-{
-namespace dnn
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 //! @addtogroup dnn
 //! @{
 
@@ -459,7 +458,7 @@ namespace dnn
 
 //! @}
 //! @}
-
+CV__DNN_EXPERIMENTAL_NS_END
 }
 }
 #endif

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

@@ -46,10 +46,9 @@
 #include <map>
 #include <ostream>
 
-namespace cv
-{
-namespace dnn
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 //! @addtogroup dnn
 //! @{
 
@@ -140,6 +139,7 @@ public:
 };
 
 //! @}
+CV__DNN_EXPERIMENTAL_NS_END
 }
 }
 

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

@@ -44,12 +44,23 @@
 
 #include <vector>
 #include <opencv2/core.hpp>
+
+#if !defined CV_DOXYGEN && !defined CV_DNN_DONT_ADD_EXPERIMENTAL_NS
+#define CV__DNN_EXPERIMENTAL_NS_USE using namespace experimental_dnn_v1;
+#define CV__DNN_EXPERIMENTAL_NS_BEGIN namespace experimental_dnn_v1 {
+#define CV__DNN_EXPERIMENTAL_NS_END }
+#else
+#define CV__DNN_EXPERIMENTAL_NS_USE
+#define CV__DNN_EXPERIMENTAL_NS_BEGIN
+#define CV__DNN_EXPERIMENTAL_NS_END
+#endif
+
 #include <opencv2/dnn/dict.hpp>
 
-namespace cv
-{
-namespace dnn //! This namespace is used for dnn module functionlaity.
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_USE
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 //! @addtogroup dnn
 //! @{
 
@@ -658,6 +669,7 @@ namespace dnn //! This namespace is used for dnn module functionlaity.
                                     Size size = Size(), const Scalar& mean = Scalar(), bool swapRB=true);
 
 //! @}
+CV__DNN_EXPERIMENTAL_NS_END
 }
 }
 

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

@@ -44,10 +44,9 @@
 
 #include <opencv2/dnn.hpp>
 
-namespace cv
-{
-namespace dnn
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 
 template<typename TypeIter>
 DictValue DictValue::arrayInt(TypeIter begin, int size)
@@ -351,6 +350,7 @@ inline std::ostream &operator<<(std::ostream &stream, const Dict &dict)
     return stream;
 }
 
+CV__DNN_EXPERIMENTAL_NS_END
 }
 }
 

modules/dnn/include/opencv2/dnn/layer.details.hpp

@@ -7,10 +7,9 @@
 
 #include <opencv2/dnn/layer.hpp>
 
-namespace cv
-{
-namespace dnn
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 
 /** @brief Registers layer constructor in runtime.
 *   @param type string, containing type name of the layer.
@@ -72,6 +71,8 @@ public:
     }
 };
 
-}}} //namespace
+} // namespace
+CV__DNN_EXPERIMENTAL_NS_END
+}} // namespace
 
 #endif

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

@@ -43,10 +43,9 @@
 #define OPENCV_DNN_LAYER_HPP
 #include <opencv2/dnn.hpp>
 
-namespace cv
-{
-namespace dnn
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 //! @addtogroup dnn
 //! @{
 //!
@@ -80,7 +79,7 @@ private:
 
 //! @}
 //! @}
-
+CV__DNN_EXPERIMENTAL_NS_END
 }
 }
 #endif

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

@@ -48,6 +48,7 @@
 
 namespace cv {
 namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 
 //Useful shortcut
 inline std::ostream &operator<< (std::ostream &s, cv::Range &r)
@@ -190,6 +191,7 @@ inline int clamp(int ax, const MatShape& shape)
     return clamp(ax, (int)shape.size());
 }
 
+CV__DNN_EXPERIMENTAL_NS_END
 }
 }
 #endif

modules/dnn/src/caffe/caffe_importer.cpp

@@ -40,8 +40,6 @@
 //M*/
 
 #include "../precomp.hpp"
-using namespace cv;
-using namespace cv::dnn;
 
 #ifdef HAVE_PROTOBUF
 #include "caffe.pb.h"
@@ -54,7 +52,13 @@ using namespace cv::dnn;
 #include <google/protobuf/text_format.h>
 #include <google/protobuf/io/zero_copy_stream_impl.h>
 #include "caffe_io.hpp"
+#endif
 
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
+
+#ifdef HAVE_PROTOBUF
 using ::google::protobuf::RepeatedField;
 using ::google::protobuf::RepeatedPtrField;
 using ::google::protobuf::Message;
@@ -361,14 +365,14 @@ public:
 
 }
 
-Ptr<Importer> cv::dnn::createCaffeImporter(const String &prototxt, const String &caffeModel)
+Ptr<Importer> createCaffeImporter(const String &prototxt, const String &caffeModel)
 {
     return Ptr<Importer>(new CaffeImporter(prototxt.c_str(), caffeModel.c_str()));
 }
 
 #else //HAVE_PROTOBUF
 
-Ptr<Importer> cv::dnn::createCaffeImporter(const String&, const String&)
+Ptr<Importer> createCaffeImporter(const String&, const String&)
 {
     CV_Error(cv::Error::StsNotImplemented, "libprotobuf required to import data from Caffe models");
     return Ptr<Importer>();
@@ -376,7 +380,7 @@ Ptr<Importer> cv::dnn::createCaffeImporter(const String&, const String&)
 
 #endif //HAVE_PROTOBUF
 
-Net cv::dnn::readNetFromCaffe(const String &prototxt, const String &caffeModel /*= String()*/)
+Net readNetFromCaffe(const String &prototxt, const String &caffeModel /*= String()*/)
 {
     Ptr<Importer> caffeImporter = createCaffeImporter(prototxt, caffeModel);
     Net net;
@@ -384,3 +388,6 @@ Net cv::dnn::readNetFromCaffe(const String &prototxt, const String &caffeModel /
         caffeImporter->populateNet(net);
     return net;
 }
+
+CV__DNN_EXPERIMENTAL_NS_END
+}} // namespace

modules/dnn/src/dnn.cpp

@@ -50,8 +50,9 @@
 #include <opencv2/dnn/shape_utils.hpp>
 #include <opencv2/imgproc.hpp>
 
-using namespace cv;
-using namespace cv::dnn;
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 
 using std::vector;
 using std::map;
@@ -74,11 +75,6 @@ namespace
     };
 }
 
-namespace cv
-{
-namespace dnn
-{
-
 template<typename T>
 static String toString(const T &v)
 {
@@ -2126,5 +2122,5 @@ BackendWrapper::BackendWrapper(const Ptr<BackendWrapper>& base, const MatShape&
 
 BackendWrapper::~BackendWrapper() {}
 
-}
-}
+CV__DNN_EXPERIMENTAL_NS_END
+}} // namespace

modules/dnn/src/init.cpp

@@ -42,10 +42,9 @@
 #include "precomp.hpp"
 #include <opencv2/dnn/layer.details.hpp>
 
-namespace cv
-{
-namespace dnn
-{
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 
 static Mutex* __initialization_mutex = NULL;
 Mutex& getInitializationMutex()
@@ -100,4 +99,5 @@ void initializeLayerFactory()
     CV_DNN_REGISTER_LAYER_CLASS(Scale,          ScaleLayer);
 }
 
-}} //namespace
+CV__DNN_EXPERIMENTAL_NS_END
+}} // namespace

modules/dnn/src/precomp.hpp

@@ -46,6 +46,8 @@
 #include <opencv2/dnn/all_layers.hpp>
 
 namespace cv { namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
 Mutex& getInitializationMutex();
 void initializeLayerFactory();
+CV__DNN_EXPERIMENTAL_NS_END
 }} // namespace

modules/dnn/src/tensorflow/tf_importer.cpp

@@ -10,8 +10,6 @@ Implementation of Tensorflow models parser
 */
 
 #include "../precomp.hpp"
-using namespace cv;
-using namespace cv::dnn;
 
 #ifdef HAVE_PROTOBUF
 #include "graph.pb.h"
@@ -24,6 +22,13 @@ using namespace cv::dnn;
 #include <google/protobuf/text_format.h>
 #include <google/protobuf/io/zero_copy_stream_impl.h>
 #include "tf_io.hpp"
+#endif
+
+namespace cv {
+namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
+
+#if HAVE_PROTOBUF
 
 using ::google::protobuf::RepeatedField;
 using ::google::protobuf::RepeatedPtrField;
@@ -734,14 +739,14 @@ void TFImporter::populateNet(Net dstNet)
 
 } // namespace
 
-Ptr<Importer> cv::dnn::createTensorflowImporter(const String &model)
+Ptr<Importer> createTensorflowImporter(const String &model)
 {
     return Ptr<Importer>(new TFImporter(model.c_str()));
 }
 
 #else //HAVE_PROTOBUF
 
-Ptr<Importer> cv::dnn::createTensorflowImporter(const String&)
+Ptr<Importer> createTensorflowImporter(const String&)
 {
     CV_Error(cv::Error::StsNotImplemented, "libprotobuf required to import data from TensorFlow models");
     return Ptr<Importer>();
@@ -749,7 +754,7 @@ Ptr<Importer> cv::dnn::createTensorflowImporter(const String&)
 
 #endif //HAVE_PROTOBUF
 
-Net cv::dnn::readNetFromTensorflow(const String &model)
+Net readNetFromTensorflow(const String &model)
 {
     Ptr<Importer> importer = createTensorflowImporter(model);
     Net net;
@@ -757,3 +762,6 @@ Net cv::dnn::readNetFromTensorflow(const String &model)
         importer->populateNet(net);
     return net;
 }
+
+CV__DNN_EXPERIMENTAL_NS_END
+}} // namespace

modules/dnn/src/torch/torch_importer.cpp

@@ -49,6 +49,8 @@
 
 namespace cv {
 namespace dnn {
+CV__DNN_EXPERIMENTAL_NS_BEGIN
+
 #if defined(ENABLE_TORCH_IMPORTER) && ENABLE_TORCH_IMPORTER
 #include "THDiskFile.h"
 
@@ -1027,5 +1029,5 @@ Net readNetFromTorch(const String &model, bool isBinary)
     return net;
 }
 
-}
-}
+CV__DNN_EXPERIMENTAL_NS_END
+}} // namespace