| Home | Trees | Indices | Help |
|---|
|
|
object --+
|
??.instance --+
|
CascadeClassifier
|
|||
| DTree | |||
| DTreeNode | |||
| Stage | |||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
Inherited from Inherited from |
|||
|
|||
BOOST = 0
|
|||
DO_CANNY_PRUNING = 1
|
|||
DO_ROUGH_SEARCH = 8
|
|||
FIND_BIGGEST_OBJECT = 4
|
|||
SCALE_IMAGE = 2
|
|||
__instance_size__ = 292
|
|||
|
|||
| classifiers | |||
| featureType | |||
| feval | |||
| is_stump_based | |||
| leaves | |||
| ncategories | |||
| nodes | |||
| oldCascade | |||
| origWinSize | |||
| stageType | |||
| stages | |||
| subsets | |||
| this | |||
|
Inherited from |
|||
|
|||
__init__( (object)arg1) -> None :
C++ signature :
void __init__(_object*)
__init__( (object)arg1, (object)filename) -> None :
C++ signature :
void __init__(_object*,std::string)
|
helper for pickle
|
detectMultiScale( (CascadeClassifier)inst, (Mat)image [, (object)scaleFactor=1.1000000000000001 [, (object)minNeighbors=3 [, (object)flags=0 [, (Size2i)minSize=Size2i(width=0, height=0)]]]]) -> object :
Argument 'objects':
C/C++ type: ::std::vector< cv::Rect_<int> > &.
Python type: Mat.
Invoke asMat() to convert a 1D Python sequence into a Mat, e.g.
asMat([0,1,2]) or asMat((0,1,2)).
Output argument: omitted from the function's calling sequence, and is
returned along with the function's return value (if any).
C++ signature :
boost::python::api::object detectMultiScale(cv::CascadeClassifier {lvalue},cv::Mat [,double=1.1000000000000001 [,int=3 [,int=0 [,cv::Size_<int>=Size2i(width=0, height=0)]]]])
|
empty( (CascadeClassifier)arg1) -> bool :
C++ signature :
bool empty(cv::CascadeClassifier {lvalue})
|
load( (CascadeClassifier)arg1, (object)filename) -> bool :
C++ signature :
bool load(cv::CascadeClassifier {lvalue},std::string)
|
read( (CascadeClassifier)arg1, (FileNode)node) -> bool :
C++ signature :
bool read(cv::CascadeClassifier {lvalue},cv::FileNode)
|
runAt( (CascadeClassifier)arg1, (Ptr_FeatureEvaluator)_feval, (Point2i)pt) -> int :
C++ signature :
int runAt(CascadeClassifier_wrapper {lvalue},cv::Ptr<cv::FeatureEvaluator> {lvalue},cv::Point_<int>)
|
setImage( (CascadeClassifier)arg1, (Ptr_FeatureEvaluator)_feval, (Mat)image) -> bool :
C++ signature :
bool setImage(CascadeClassifier_wrapper {lvalue},cv::Ptr<cv::FeatureEvaluator> {lvalue},cv::Mat)
|
|
|||
classifiers
|
featureType
|
feval
|
is_stump_based
|
leaves
|
ncategories
|
nodes
|
oldCascade
|
origWinSize
|
stageType
|
stages
|
subsets
|
this
|
| Home | Trees | Indices | Help |
|---|
| Generated by Epydoc 3.0.1 on Tue Apr 13 18:01:49 2010 | http://epydoc.sourceforge.net |