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fixed a few more typos in the docs.

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This commit is contained in:
Vadim Pisarevsky
2011-07-07 16:59:09 +00:00
parent 462d4a1dae
commit 0940573e8b
7 changed files with 23 additions and 32 deletions
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28
modules/gpu/doc/object_detection.rst
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@@ -67,12 +67,7 @@ Interfaces of all methods are kept similar to the ``CPU HOG`` descriptor and det
gpu::HOGDescriptor::HOGDescriptor
-------------------------------------
.. ocv:function:: gpu::HOGDescriptor::HOGDescriptor(Size win_size=Size(64, 128),
Size block_size=Size(16, 16), Size block_stride=Size(8, 8),
Size cell_size=Size(8, 8), int nbins=9,
double win_sigma=DEFAULT_WIN_SIGMA,
double threshold_L2hys=0.2, bool gamma_correction=true,
int nlevels=DEFAULT_NLEVELS)??check the output??
.. ocv:function:: gpu::HOGDescriptor::HOGDescriptor(Size win_size=Size(64, 128), Size block_size=Size(16, 16), Size block_stride=Size(8, 8), Size cell_size=Size(8, 8), int nbins=9, double win_sigma=DEFAULT_WIN_SIGMA, double threshold_L2hys=0.2, bool gamma_correction=true, int nlevels=DEFAULT_NLEVELS)
Creates the ``HOG`` descriptor and detector.
@@ -114,7 +109,7 @@ gpu::HOGDescriptor::getBlockHistogramSize
gpu::HOGDescriptor::setSVMDetector
--------------------------------------
.. ocv:function:: void gpu::HOGDescriptor::setSVMDetector(const vector<float>\& detector)
.. ocv:function:: void gpu::HOGDescriptor::setSVMDetector(const vector<float>& detector)
Sets coefficients for the linear SVM classifier.
@@ -146,9 +141,7 @@ gpu::HOGDescriptor::getPeopleDetector64x128
gpu::HOGDescriptor::detect
------------------------------
.. ocv:function:: void gpu::HOGDescriptor::detect(const GpuMat\& img,
vector<Point>\& found_locations, double hit_threshold=0,
Size win_stride=Size(), Size padding=Size())??see output??
.. ocv:function:: void gpu::HOGDescriptor::detect(const GpuMat& img, vector<Point>& found_locations, double hit_threshold=0, Size win_stride=Size(), Size padding=Size())
Performs object detection without a multi-scale window.
@@ -166,10 +159,7 @@ gpu::HOGDescriptor::detect
gpu::HOGDescriptor::detectMultiScale
----------------------------------------
.. ocv:function:: void gpu::HOGDescriptor::detectMultiScale(const GpuMat\& img,
vector<Rect>\& found_locations, double hit_threshold=0,
Size win_stride=Size(), Size padding=Size(),
double scale0=1.05, int group_threshold=2)??the same??
.. ocv:function:: void gpu::HOGDescriptor::detectMultiScale(const GpuMat& img, vector<Rect>& found_locations, double hit_threshold=0, Size win_stride=Size(), Size padding=Size(), double scale0=1.05, int group_threshold=2)
Performs object detection with a multi-scale window.
@@ -191,9 +181,7 @@ gpu::HOGDescriptor::detectMultiScale
gpu::HOGDescriptor::getDescriptors
--------------------------------------
.. ocv:function:: void gpu::HOGDescriptor::getDescriptors(const GpuMat\& img,
Size win_stride, GpuMat\& descriptors,
int descr_format=DESCR_FORMAT_COL_BY_COL)?? the same??
.. ocv:function:: void gpu::HOGDescriptor::getDescriptors(const GpuMat& img, Size win_stride, GpuMat& descriptors, int descr_format=DESCR_FORMAT_COL_BY_COL)
Returns block descriptors computed for the whole image. The function is mainly used to learn the classifier.
@@ -247,7 +235,7 @@ Cascade classifier class used for object detection.
gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
-----------------------------------------------------
.. ocv:function:: gpu::CascadeClassifier_GPU(const string\& filename)
.. ocv:function:: gpu::CascadeClassifier_GPU(const string& filename)
Loads the classifier from a file.
@@ -269,7 +257,7 @@ gpu::CascadeClassifier_GPU::empty
gpu::CascadeClassifier_GPU::load
------------------------------------
.. ocv:function:: bool gpu::CascadeClassifier_GPU::load(const string\& filename)
.. ocv:function:: bool gpu::CascadeClassifier_GPU::load(const string& filename)
Loads the classifier from a file. The previous content is destroyed.
@@ -287,7 +275,7 @@ gpu::CascadeClassifier_GPU::release
gpu::CascadeClassifier_GPU::detectMultiScale
------------------------------------------------
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat\& image, GpuMat\& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size())
.. ocv:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat& image, GpuMat& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size())
Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.