Purpose: 2nd review cycle - see ?? . wrong syntax format

This commit is contained in:
Elena Fedotova 2011-06-18 20:37:50 +00:00
parent 5006ba773f
commit 4ec0287dd3

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@ -9,7 +9,7 @@ gpu::HOGDescriptor
------------------ ------------------
.. ocv:class:: gpu::HOGDescriptor .. ocv:class:: gpu::HOGDescriptor
This class provides a histogram of Oriented Gradients [Navneet Dalal and Bill Triggs. Histogram of oriented gradients for human detection. 2005.] descriptor and detector. Class providing a histogram of Oriented Gradients [Navneet Dalal and Bill Triggs. *Histogram of oriented gradients for human detection*. 2005.] descriptor and detector.
:: ::
struct CV_EXPORTS HOGDescriptor struct CV_EXPORTS HOGDescriptor
@ -72,7 +72,7 @@ gpu::HOGDescriptor::HOGDescriptor
Size cell_size=Size(8, 8), int nbins=9, Size cell_size=Size(8, 8), int nbins=9,
double win_sigma=DEFAULT_WIN_SIGMA, double win_sigma=DEFAULT_WIN_SIGMA,
double threshold_L2hys=0.2, bool gamma_correction=true, double threshold_L2hys=0.2, bool gamma_correction=true,
int nlevels=DEFAULT_NLEVELS) int nlevels=DEFAULT_NLEVELS)??check the output??
Creates the ``HOG`` descriptor and detector. Creates the ``HOG`` descriptor and detector.
@ -148,7 +148,7 @@ gpu::HOGDescriptor::detect
------------------------------ ------------------------------
.. ocv:function:: void gpu::HOGDescriptor::detect(const GpuMat\& img, .. ocv:function:: void gpu::HOGDescriptor::detect(const GpuMat\& img,
vector<Point>\& found_locations, double hit_threshold=0, vector<Point>\& found_locations, double hit_threshold=0,
Size win_stride=Size(), Size padding=Size()) Size win_stride=Size(), Size padding=Size())??see output??
Performs object detection without a multi-scale window. Performs object detection without a multi-scale window.
@ -169,7 +169,7 @@ gpu::HOGDescriptor::detectMultiScale
.. ocv:function:: void gpu::HOGDescriptor::detectMultiScale(const GpuMat\& img, .. ocv:function:: void gpu::HOGDescriptor::detectMultiScale(const GpuMat\& img,
vector<Rect>\& found_locations, double hit_threshold=0, vector<Rect>\& found_locations, double hit_threshold=0,
Size win_stride=Size(), Size padding=Size(), Size win_stride=Size(), Size padding=Size(),
double scale0=1.05, int group_threshold=2) double scale0=1.05, int group_threshold=2)??the same??
Performs object detection with a multi-scale window. Performs object detection with a multi-scale window.
@ -193,7 +193,7 @@ gpu::HOGDescriptor::getDescriptors
-------------------------------------- --------------------------------------
.. ocv:function:: void gpu::HOGDescriptor::getDescriptors(const GpuMat\& img, .. ocv:function:: void gpu::HOGDescriptor::getDescriptors(const GpuMat\& img,
Size win_stride, GpuMat\& descriptors, Size win_stride, GpuMat\& descriptors,
int descr_format=DESCR_FORMAT_COL_BY_COL) int descr_format=DESCR_FORMAT_COL_BY_COL)?? the same??
Returns block descriptors computed for the whole image. The function is mainly used to learn the classifier. Returns block descriptors computed for the whole image. The function is mainly used to learn the classifier.
@ -205,9 +205,9 @@ gpu::HOGDescriptor::getDescriptors
:param descr_format: Descriptor storage format: :param descr_format: Descriptor storage format:
* **DESCR_FORMAT_ROW_BY_ROW** Row-major order. * **DESCR_FORMAT_ROW_BY_ROW** - Row-major order.
* **DESCR_FORMAT_COL_BY_COL** Column-major order. * **DESCR_FORMAT_COL_BY_COL** - Column-major order.
.. index:: gpu::CascadeClassifier_GPU .. index:: gpu::CascadeClassifier_GPU
@ -216,7 +216,7 @@ gpu::CascadeClassifier_GPU
-------------------------- --------------------------
.. ocv:class:: gpu::CascadeClassifier_GPU .. ocv:class:: gpu::CascadeClassifier_GPU
This cascade classifier class is used for object detection. Cascade classifier class used for object detection.
:: ::
class CV_EXPORTS CascadeClassifier_GPU class CV_EXPORTS CascadeClassifier_GPU
@ -324,5 +324,5 @@ gpu::CascadeClassifier_GPU::detectMultiScale
imshow("Faces", image_cpu); imshow("Faces", image_cpu);
See Also: :ocv:func:`CascadeClassifier::detectMultiScale` .. seealso:: :ocv:func:`CascadeClassifier::detectMultiScale`