OpenCV with the refactored features2d compiles! contrib is broken for now; the tests are not tried yet

2014-10-15 22:49:17 +04:00
parent 2e915026a0
commit 09df1a286b
27 changed files with 1939 additions and 2316 deletions
--- a/modules/features2d/src/feature2d.cpp
+++ b/modules/features2d/src/feature2d.cpp
@@ -0,0 +1,159 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                          License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "precomp.hpp"
+
+namespace cv
+{
+
+using std::vector;
+
+Feature2D::~Feature2D() {}
+
+/*
+ * Detect keypoints in an image.
+ * image        The image.
+ * keypoints    The detected keypoints.
+ * mask         Mask specifying where to look for keypoints (optional). Must be a char
+ *              matrix with non-zero values in the region of interest.
+ */
+void Feature2D::detect( InputArray image,
+                        std::vector<KeyPoint>& keypoints,
+                        InputArray mask )
+{
+    detectAndCompute(image, mask, keypoints, noArray(), false);
+}
+
+
+void Feature2D::detect( InputArrayOfArrays _images,
+                        std::vector<std::vector<KeyPoint> >& keypoints,
+                        InputArrayOfArrays _masks )
+{
+    vector<Mat> images, masks;
+
+    _images.getMatVector(images);
+    size_t i, nimages = images.size();
+
+    if( !_masks.empty() )
+    {
+        _masks.getMatVector(masks);
+        CV_Assert(masks.size() == nimages);
+    }
+
+    keypoints.resize(nimages);
+
+    for( i = 0; i < nimages; i++ )
+    {
+        detect(images[i], keypoints[i], masks.empty() ? Mat() : masks[i] );
+    }
+}
+
+/*
+ * Compute the descriptors for a set of keypoints in an image.
+ * image        The image.
+ * keypoints    The input keypoints. Keypoints for which a descriptor cannot be computed are removed.
+ * descriptors  Copmputed descriptors. Row i is the descriptor for keypoint i.
+ */
+void Feature2D::compute( InputArray image,
+                         std::vector<KeyPoint>& keypoints,
+                         OutputArray descriptors )
+{
+    detectAndCompute(image, noArray(), keypoints, descriptors, true);
+}
+
+void Feature2D::compute( InputArrayOfArrays _images,
+                         std::vector<std::vector<KeyPoint> >& keypoints,
+                         OutputArrayOfArrays _descriptors )
+{
+    if( !_descriptors.needed() )
+        return;
+
+    vector<Mat> images;
+
+    _images.getMatVector(images);
+    size_t i, nimages = images.size();
+
+    CV_Assert( keypoints.size() == nimages );
+    CV_Assert( _descriptors.kind() == _InputArray::STD_VECTOR_MAT );
+
+    vector<Mat>& descriptors = *(vector<Mat>*)_descriptors.getObj();
+    descriptors.resize(nimages);
+
+    for( i = 0; i < nimages; i++ )
+    {
+        compute(images[i], keypoints[i], descriptors[i]);
+    }
+}
+
+
+/* Detects keypoints and computes the descriptors */
+void Feature2D::detectAndCompute( InputArray, InputArray,
+                                  std::vector<KeyPoint>&,
+                                  OutputArray,
+                                  bool )
+{
+    CV_Error(Error::StsNotImplemented, "");
+}
+
+int Feature2D::descriptorSize() const
+{
+    return 0;
+}
+
+int Feature2D::descriptorType() const
+{
+    return CV_32F;
+}
+
+int Feature2D::defaultNorm() const
+{
+    int tp = descriptorType();
+    return tp == CV_8U ? NORM_HAMMING : NORM_L2;
+}
+
+// Return true if detector object is empty
+bool Feature2D::empty() const
+{
+    return true;
+}
+
+}