Blobs reuse improvement (#1205)

* Reuse deep learning output blobs

* Changed order for iterating through blobs while seeking memory. Refactored a little.

Author: arrybn

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

@@ -369,6 +369,21 @@ namespace dnn //! This namespace is used for dnn module functionlaity.
          CV_WRAP void getMemoryConsumption(const int layerId,
                                            const MatShape& netInputShape,
                                            size_t& weights, size_t& blobs) const;
+
+         /** @brief Computes bytes number which are requered to store
+          * all weights and intermediate blobs for each layer.
+          * @param netInputShapes vector of shapes for all net inputs.
+          * @param layerIds output vector to save layer IDs.
+          * @param weights output parameter to store resulting bytes for weights.
+          * @param blobs output parameter to store resulting bytes for intermediate blobs.
+          */
+         CV_WRAP void getMemoryConsumption(const std::vector<MatShape>& netInputShapes,
+                                           std::vector<int>& layerIds, std::vector<size_t>& weights,
+                                           std::vector<size_t>& blobs) const;
+         /** @overload */
+         CV_WRAP void getMemoryConsumption(const MatShape& netInputShape,
+                                           std::vector<int>& layerIds, std::vector<size_t>& weights,
+                                           std::vector<size_t>& blobs) const;
     private:
 
         struct Impl;

modules/dnn/misc/python/pyopencv_dnn.hpp

@@ -2,6 +2,7 @@
 typedef dnn::DictValue LayerId;
 typedef std::vector<dnn::MatShape> vector_MatShape;
 typedef std::vector<std::vector<dnn::MatShape> > vector_vector_MatShape;
+typedef std::vector<size_t> vector_size_t;
 
 template<>
 bool pyopencv_to(PyObject *o, dnn::DictValue &dv, const char *name)