96 lines
4.1 KiB
ReStructuredText
96 lines
4.1 KiB
ReStructuredText
Object Detection
|
|
=============================
|
|
|
|
.. highlight:: cpp
|
|
|
|
ocl::OclCascadeClassifier
|
|
-----------------------------
|
|
.. ocv:class:: ocl::OclCascadeClassifier : public CascadeClassifier
|
|
|
|
Cascade classifier class used for object detection. Supports HAAR cascade classifier in the form of cross link ::
|
|
|
|
class CV_EXPORTS OclCascadeClassifier : public CascadeClassifier
|
|
{
|
|
public:
|
|
OclCascadeClassifier(){};
|
|
~OclCascadeClassifier(){};
|
|
CvSeq* oclHaarDetectObjects(oclMat &gimg, CvMemStorage *storage, double scaleFactor,
|
|
int minNeighbors, int flags, CvSize minSize = cvSize(0, 0),
|
|
CvSize maxSize = cvSize(0, 0));
|
|
};
|
|
|
|
.. note::
|
|
|
|
(Ocl) A face detection example using cascade classifiers can be found at opencv_source_code/samples/ocl/facedetect.cpp
|
|
|
|
ocl::OclCascadeClassifier::oclHaarDetectObjects
|
|
------------------------------------------------------
|
|
Detects objects of different sizes in the input image.
|
|
|
|
.. ocv:function:: CvSeq* ocl::OclCascadeClassifier::oclHaarDetectObjects(oclMat &gimg, CvMemStorage *storage, double scaleFactor, int minNeighbors, int flags, CvSize minSize = cvSize(0, 0), CvSize maxSize = cvSize(0, 0))
|
|
|
|
:param gimage: Matrix of type CV_8U containing an image where objects should be detected.
|
|
|
|
:param scaleFactor: Parameter specifying how much the image size is reduced at each image scale.
|
|
|
|
:param minNeighbors: Parameter specifying how many neighbors each candidate rectangle should have to retain it.
|
|
|
|
:param flags: Parameter with the same meaning for an old cascade as in the function ``cvHaarDetectObjects``. It is not used for a new cascade.
|
|
|
|
:param minSize: Minimum possible object size. Objects smaller than that are ignored.
|
|
|
|
:param maxSize: Maximum possible object size. Objects larger than that are ignored.
|
|
|
|
The function provides a very similar interface with that in CascadeClassifier class, except using oclMat as input image.
|
|
|
|
ocl::MatchTemplateBuf
|
|
-------------------------
|
|
.. ocv:struct:: ocl::MatchTemplateBuf
|
|
|
|
Class providing memory buffers for :ocv:func:`ocl::matchTemplate` function, plus it allows to adjust some specific parameters. ::
|
|
|
|
struct CV_EXPORTS MatchTemplateBuf
|
|
{
|
|
Size user_block_size;
|
|
oclMat imagef, templf;
|
|
std::vector<oclMat> images;
|
|
std::vector<oclMat> image_sums;
|
|
std::vector<oclMat> image_sqsums;
|
|
};
|
|
|
|
You can use field `user_block_size` to set specific block size for :ocv:func:`ocl::matchTemplate` function. If you leave its default value `Size(0,0)` then automatic estimation of block size will be used (which is optimized for speed). By varying `user_block_size` you can reduce memory requirements at the cost of speed.
|
|
|
|
ocl::matchTemplate
|
|
----------------------
|
|
Computes a proximity map for a raster template and an image where the template is searched for.
|
|
|
|
.. ocv:function:: void ocl::matchTemplate(const oclMat& image, const oclMat& templ, oclMat& result, int method)
|
|
|
|
.. ocv:function:: void ocl::matchTemplate(const oclMat& image, const oclMat& templ, oclMat& result, int method, MatchTemplateBuf &buf)
|
|
|
|
:param image: Source image. ``CV_32F`` and ``CV_8U`` depth images (1..4 channels) are supported for now.
|
|
|
|
:param templ: Template image with the size and type the same as ``image`` .
|
|
|
|
:param result: Map containing comparison results ( ``CV_32FC1`` ). If ``image`` is *W x H* and ``templ`` is *w x h*, then ``result`` must be *W-w+1 x H-h+1*.
|
|
|
|
:param method: Specifies the way to compare the template with the image.
|
|
|
|
:param buf: Optional buffer to avoid extra memory allocations and to adjust some specific parameters. See :ocv:struct:`ocl::MatchTemplateBuf`.
|
|
|
|
The following methods are supported for the ``CV_8U`` depth images for now:
|
|
|
|
* ``CV_TM_SQDIFF``
|
|
* ``CV_TM_SQDIFF_NORMED``
|
|
* ``CV_TM_CCORR``
|
|
* ``CV_TM_CCORR_NORMED``
|
|
* ``CV_TM_CCOEFF``
|
|
* ``CV_TM_CCOEFF_NORMED``
|
|
|
|
The following methods are supported for the ``CV_32F`` images for now:
|
|
|
|
* ``CV_TM_SQDIFF``
|
|
* ``CV_TM_CCORR``
|
|
|
|
.. seealso:: :ocv:func:`matchTemplate`
|