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https://github.com/opencv/opencv.git
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the first round of cleaning up the RST docs
This commit is contained in:
Vadim Pisarevsky
@@ -9,7 +9,7 @@ Object Detection
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gpu::HOGDescriptor
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------------------
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.. ctype:: gpu::HOGDescriptor
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.. c:type:: gpu::HOGDescriptor
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Histogram of Oriented Gradients
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dalal_hog
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@@ -62,7 +62,7 @@ descriptor and detector. ::
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private:
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// Hidden
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}
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..
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Interfaces of all methods are kept similar to CPU HOG descriptor and detector analogues as much as possible.
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@@ -70,7 +70,12 @@ Interfaces of all methods are kept similar to CPU HOG descriptor and detector an
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cv::gpu::HOGDescriptor::HOGDescriptor
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-------------------------------------
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.. cfunction:: HOGDescriptor::HOGDescriptor(Size win_size=Size(64, 128),
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.. c:function:: HOGDescriptor::HOGDescriptor(Size win_size=Size(64, 128),
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Size block_size=Size(16, 16), Size block_stride=Size(8, 8),
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Size cell_size=Size(8, 8), int nbins=9,
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double win_sigma=DEFAULT_WIN_SIGMA,
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double threshold_L2hys=0.2, bool gamma_correction=true,
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int nlevels=DEFAULT_NLEVELS)
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Creates HOG descriptor and detector.
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@@ -96,7 +101,7 @@ cv::gpu::HOGDescriptor::HOGDescriptor
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cv::gpu::HOGDescriptor::getDescriptorSize
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-----------------------------------------
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.. c:function:: size_t HOGDescriptor::getDescriptorSize() const
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Returns number of coefficients required for the classification.
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@@ -104,7 +109,7 @@ cv::gpu::HOGDescriptor::getDescriptorSize
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cv::gpu::HOGDescriptor::getBlockHistogramSize
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---------------------------------------------
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.. c:function:: size_t HOGDescriptor::getBlockHistogramSize() const
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Returns block histogram size.
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@@ -112,7 +117,7 @@ cv::gpu::HOGDescriptor::getBlockHistogramSize
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cv::gpu::HOGDescriptor::setSVMDetector
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--------------------------------------
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.. c:function:: void HOGDescriptor::setSVMDetector(const vector<float>\& detector)
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Sets coefficients for the linear SVM classifier.
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@@ -120,7 +125,7 @@ cv::gpu::HOGDescriptor::setSVMDetector
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cv::gpu::HOGDescriptor::getDefaultPeopleDetector
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------------------------------------------------
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.. c:function:: static vector<float> HOGDescriptor::getDefaultPeopleDetector()
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Returns coefficients of the classifier trained for people detection (for default window size).
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@@ -128,7 +133,7 @@ cv::gpu::HOGDescriptor::getDefaultPeopleDetector
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cv::gpu::HOGDescriptor::getPeopleDetector48x96
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----------------------------------------------
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.. c:function:: static vector<float> HOGDescriptor::getPeopleDetector48x96()
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Returns coefficients of the classifier trained for people detection (for 48x96 windows).
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@@ -136,7 +141,7 @@ cv::gpu::HOGDescriptor::getPeopleDetector48x96
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cv::gpu::HOGDescriptor::getPeopleDetector64x128
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-----------------------------------------------
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.. c:function:: static vector<float> HOGDescriptor::getPeopleDetector64x128()
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Returns coefficients of the classifier trained for people detection (for 64x128 windows).
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@@ -144,7 +149,9 @@ cv::gpu::HOGDescriptor::getPeopleDetector64x128
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cv::gpu::HOGDescriptor::detect
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------------------------------
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.. c:function:: void HOGDescriptor::detect(const GpuMat\& img,
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vector<Point>\& found_locations, double hit_threshold=0,
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Size win_stride=Size(), Size padding=Size())
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Perfroms object detection without multiscale window.
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@@ -162,7 +169,10 @@ cv::gpu::HOGDescriptor::detect
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cv::gpu::HOGDescriptor::detectMultiScale
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----------------------------------------
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.. c:function:: void HOGDescriptor::detectMultiScale(const GpuMat\& img,
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vector<Rect>\& found_locations, double hit_threshold=0,
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Size win_stride=Size(), Size padding=Size(),
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double scale0=1.05, int group_threshold=2)
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Perfroms object detection with multiscale window.
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@@ -185,7 +195,9 @@ cv::gpu::HOGDescriptor::detectMultiScale
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cv::gpu::HOGDescriptor::getDescriptors
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--------------------------------------
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.. c:function:: void HOGDescriptor::getDescriptors(const GpuMat\& img,
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Size win_stride, GpuMat\& descriptors,
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int descr_format=DESCR_FORMAT_COL_BY_COL)
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Returns block descriptors computed for the whole image. It's mainly used for classifier learning purposes.
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@@ -195,12 +207,12 @@ cv::gpu::HOGDescriptor::getDescriptors
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:param descriptors: 2D array of descriptors.
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.. cfunction:: void HOGDescriptor::getDescriptors(const GpuMat\& img,
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:param descr_format: Descriptor storage format:
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* **DESCR_FORMAT_ROW_BY_ROW** Row-major order.
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* **DESCR_FORMAT_COL_BY_COL** Column-major order.
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.. index:: gpu::CascadeClassifier_GPU
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@@ -208,7 +220,7 @@ cv::gpu::HOGDescriptor::getDescriptors
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gpu::CascadeClassifier_GPU
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--------------------------
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.. c:type:: gpu::CascadeClassifier_GPU
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The cascade classifier class for object detection. ::
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@@ -234,7 +246,7 @@ The cascade classifier class for object detection. ::
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Size getClassifierSize() const;
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};
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.. index:: cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
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@@ -242,7 +254,7 @@ The cascade classifier class for object detection. ::
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cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
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-----------------------------------------------------
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bool visualizeInPlace;
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.. c:function:: cv::CascadeClassifier_GPU(const string\& filename)
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Loads the classifier from file.
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@@ -254,7 +266,7 @@ cv::gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
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cv::gpu::CascadeClassifier_GPU::empty
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-------------------------------------
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.. cfunction:: cv::CascadeClassifier_GPU(const string\& filename)
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.. c:function:: bool CascadeClassifier_GPU::empty() const
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Checks if the classifier has been loaded or not.
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@@ -264,7 +276,7 @@ cv::gpu::CascadeClassifier_GPU::empty
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cv::gpu::CascadeClassifier_GPU::load
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------------------------------------
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cv::gpu::CascadeClassifier_GPU::empty
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.. c:function:: bool CascadeClassifier_GPU::load(const string\& filename)
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Loads the classifier from file. The previous content is destroyed.
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@@ -276,7 +288,7 @@ cv::gpu::CascadeClassifier_GPU::load
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cv::gpu::CascadeClassifier_GPU::release
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---------------------------------------
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.. cfunction:: bool CascadeClassifier_GPU::load(const string\& filename)
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.. c:function:: void CascadeClassifier_GPU::release()
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Destroys loaded classifier.
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@@ -286,7 +298,7 @@ cv::gpu::CascadeClassifier_GPU::release
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cv::gpu::CascadeClassifier_GPU::detectMultiScale
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------------------------------------------------
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cv::gpu::CascadeClassifier_GPU::release
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.. c:function:: int CascadeClassifier_GPU::detectMultiScale(const GpuMat\& image, GpuMat\& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size())
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Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
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@@ -320,7 +332,7 @@ The function returns number of detected objects, so you can retrieve them as in
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cv::rectangle(image_cpu, faces[i], Scalar(255));
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imshow("Faces", image_cpu);
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int detections_number = cascade_gpu.detectMultiScale( image_gpu,
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See also:
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:func:`CascadeClassifier::detectMultiScale` .
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