moved documentation for CUDA version of softcascade

modules/softcascade/doc/softcascade.rst

@@ -8,4 +8,5 @@ softcascade. Soft Cascade object detection and training.
     :maxdepth: 2
 
     softcascade_detector
-    softcascade_training
+    softcascade_training
+    softcascade_cuda

modules/softcascade/doc/softcascade_cuda.rst

@@ -0,0 +1,62 @@
+CUDA version of Soft Cascade Classifier
+========================================
+
+softcascade::SCascade
+-----------------------------------------------
+.. ocv:class:: softcascade::SCascade : public Algorithm
+
+Implementation of soft (stageless) cascaded detector. ::
+
+    class CV_EXPORTS SCascade : public Algorithm
+    {
+        struct CV_EXPORTS Detection
+        {
+              ushort x;
+              ushort y;
+              ushort w;
+              ushort h;
+              float confidence;
+              int kind;
+
+              enum {PEDESTRIAN = 0};
+        };
+
+        SCascade(const double minScale = 0.4, const double maxScale = 5., const int scales = 55, const int rejfactor = 1);
+        virtual ~SCascade();
+        virtual bool load(const FileNode& fn);
+        virtual void detect(InputArray image, InputArray rois, OutputArray objects, Stream& stream = Stream::Null()) const;
+        virtual void genRoi(InputArray roi, OutputArray mask, Stream& stream = Stream::Null()) const;
+    };
+
+
+softcascade::SCascade::~SCascade
+---------------------------
+Destructor for SCascade.
+
+.. ocv:function:: gpu::SCascade::~SCascade()
+
+
+
+softcascade::SCascade::load
+--------------------------
+Load cascade from FileNode.
+
+.. ocv:function:: bool gpu::SCascade::load(const FileNode& fn)
+
+    :param fn: File node from which the soft cascade are read.
+
+
+
+softcascade::SCascade::detect
+--------------------------
+Apply cascade to an input frame and return the vector of Decection objcts.
+
+.. ocv:function:: void gpu::SCascade::detect(InputArray image, InputArray rois, OutputArray objects, Stream& stream = Stream::Null()) const
+
+    :param image: a frame on which detector will be applied.
+
+    :param rois: a regions of interests mask generated by genRoi. Only the objects that fall into one of the regions will be returned.
+
+    :param objects: an output array of Detections represented as GpuMat of detections (SCascade::Detection). The first element of the matrix is  actually a count of detections.
+
+    :param stream: a high-level CUDA stream abstraction used for asynchronous execution.