load SoftCascade from FileStorage

This commit is contained in:
marina.kolpakova
2012-10-25 09:40:16 +04:00
parent a22ee13620
commit 017d970b9a
4 changed files with 22 additions and 16 deletions

View File

@@ -500,25 +500,29 @@ public:
float confidence;
int kind;
enum {PEDESTRIAN = 0};
enum {PEDESTRIAN = 1};
//! Create detection from an object bounding rectangle and confidence. Only PEDESTRIAN type carrently supported.
//! Param r is a boundinf rectangle
//! param c is a confidence that object belongs to class k
//! Paral k is an object class
Detection(const cv::Rect& r, const float c, int k = PEDESTRIAN) : rect(r), confidence(c), kind(k) {}
};
//! An empty cascade will be created.
SoftCascade();
//! Cascade will be created from file for scales from minScale to maxScale.
//! Param filename is a path to xml-serialized cascade.
//! Cascade will be created for scales from minScale to maxScale.
//! Param fs is a serialized sacsade.
//! Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
//! Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
SoftCascade( const string& filename, const float minScale = 0.4f, const float maxScale = 5.f);
SoftCascade( const cv::FileStorage& fs, const float minScale = 0.4f, const float maxScale = 5.f);
//! cascade will be loaded from file "filename". The previous cascade will be destroyed.
//! Param filename is a path to xml-serialized cascade.
//! cascade will be loaded. The previous cascade will be destroyed.
//! Param fs is a serialized sacsade.
//! Param minScale is a minimum scale relative to the original size of the image on which cascade will be applyed.
//! Param minScale is a maximum scale relative to the original size of the image on which cascade will be applyed.
bool load( const string& filename, const float minScale = 0.4f, const float maxScale = 5.f);
bool read( const cv::FileStorage& fs, const float minScale = 0.4f, const float maxScale = 5.f);
virtual ~SoftCascade();