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https://github.com/opencv/opencv.git
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introduced new RST/Sphinx domain ocv.
This commit is contained in:
Vadim Pisarevsky
@@ -7,7 +7,7 @@ Object Detection
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gpu::HOGDescriptor
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------------------
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.. cpp:class:: gpu::HOGDescriptor
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.. ocv:class:: gpu::HOGDescriptor
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This class provides a histogram of Oriented Gradients [Navneet Dalal and Bill Triggs. Histogram of oriented gradients for human detection. 2005.] descriptor and detector.
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::
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@@ -67,7 +67,7 @@ Interfaces of all methods are kept similar to the ``CPU HOG`` descriptor and det
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gpu::HOGDescriptor::HOGDescriptor
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-------------------------------------
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.. cpp:function:: gpu::HOGDescriptor::HOGDescriptor(Size win_size=Size(64, 128),
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.. ocv:function:: gpu::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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@@ -98,7 +98,7 @@ gpu::HOGDescriptor::HOGDescriptor
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gpu::HOGDescriptor::getDescriptorSize
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-----------------------------------------
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.. cpp:function:: size_t gpu::HOGDescriptor::getDescriptorSize() const
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.. ocv:function:: size_t gpu::HOGDescriptor::getDescriptorSize() const
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Returns the number of coefficients required for the classification.
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@@ -106,7 +106,7 @@ gpu::HOGDescriptor::getDescriptorSize
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gpu::HOGDescriptor::getBlockHistogramSize
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---------------------------------------------
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.. cpp:function:: size_t gpu::HOGDescriptor::getBlockHistogramSize() const
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.. ocv:function:: size_t gpu::HOGDescriptor::getBlockHistogramSize() const
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Returns the block histogram size.
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@@ -114,7 +114,7 @@ gpu::HOGDescriptor::getBlockHistogramSize
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gpu::HOGDescriptor::setSVMDetector
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--------------------------------------
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.. cpp:function:: void gpu::HOGDescriptor::setSVMDetector(const vector<float>\& detector)
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.. ocv:function:: void gpu::HOGDescriptor::setSVMDetector(const vector<float>\& detector)
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Sets coefficients for the linear SVM classifier.
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@@ -122,7 +122,7 @@ gpu::HOGDescriptor::setSVMDetector
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gpu::HOGDescriptor::getDefaultPeopleDetector
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------------------------------------------------
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.. cpp:function:: static vector<float> gpu::HOGDescriptor::getDefaultPeopleDetector()
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.. ocv:function:: static vector<float> gpu::HOGDescriptor::getDefaultPeopleDetector()
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Returns coefficients of the classifier trained for people detection (for default window size).
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@@ -130,7 +130,7 @@ gpu::HOGDescriptor::getDefaultPeopleDetector
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gpu::HOGDescriptor::getPeopleDetector48x96
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----------------------------------------------
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.. cpp:function:: static vector<float> gpu::HOGDescriptor::getPeopleDetector48x96()
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.. ocv:function:: static vector<float> gpu::HOGDescriptor::getPeopleDetector48x96()
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Returns coefficients of the classifier trained for people detection (for 48x96 windows).
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@@ -138,7 +138,7 @@ gpu::HOGDescriptor::getPeopleDetector48x96
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gpu::HOGDescriptor::getPeopleDetector64x128
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-----------------------------------------------
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.. cpp:function:: static vector<float> gpu::HOGDescriptor::getPeopleDetector64x128()
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.. ocv:function:: static vector<float> gpu::HOGDescriptor::getPeopleDetector64x128()
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Returns coefficients of the classifier trained for people detection (for 64x128 windows).
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@@ -146,7 +146,7 @@ gpu::HOGDescriptor::getPeopleDetector64x128
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gpu::HOGDescriptor::detect
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------------------------------
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.. cpp:function:: void gpu::HOGDescriptor::detect(const GpuMat\& img,
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.. ocv:function:: void gpu::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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@@ -166,18 +166,18 @@ gpu::HOGDescriptor::detect
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gpu::HOGDescriptor::detectMultiScale
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----------------------------------------
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.. cpp:function:: void gpu::HOGDescriptor::detectMultiScale(const GpuMat\& img,
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.. ocv:function:: void gpu::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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Performs object detection with a multi-scale window.
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:param img: Source image. See :cpp:func:`gpu::HOGDescriptor::detect` for type limitations.
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:param img: Source image. See :ocv:func:`gpu::HOGDescriptor::detect` for type limitations.
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:param found_locations: Detected objects boundaries.
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:param hit_threshold: Threshold for the distance between features and SVM classifying plane. See :cpp:func:`gpu::HOGDescriptor::detect` for details.
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:param hit_threshold: Threshold for the distance between features and SVM classifying plane. See :ocv:func:`gpu::HOGDescriptor::detect` for details.
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:param win_stride: Window stride. It must be a multiple of block stride.
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@@ -185,19 +185,19 @@ gpu::HOGDescriptor::detectMultiScale
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:param scale0: Coefficient of the detection window increase.
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:param group_threshold: Coefficient to regulate the similarity threshold. When detected, some objects can be covered by many rectangles. 0 means not to perform grouping. See :cpp:func:`groupRectangles` .
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:param group_threshold: Coefficient to regulate the similarity threshold. When detected, some objects can be covered by many rectangles. 0 means not to perform grouping. See :ocv:func:`groupRectangles` .
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.. index:: gpu::HOGDescriptor::getDescriptors
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gpu::HOGDescriptor::getDescriptors
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--------------------------------------
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.. cpp:function:: void gpu::HOGDescriptor::getDescriptors(const GpuMat\& img,
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.. ocv:function:: void gpu::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. The function is mainly used to learn the classifier.
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:param img: Source image. See :cpp:func:`gpu::HOGDescriptor::detect` for type limitations.
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:param img: Source image. See :ocv:func:`gpu::HOGDescriptor::detect` for type limitations.
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:param win_stride: Window stride. It must be a multiple of block stride.
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@@ -214,7 +214,7 @@ gpu::HOGDescriptor::getDescriptors
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gpu::CascadeClassifier_GPU
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--------------------------
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.. cpp:class:: gpu::CascadeClassifier_GPU
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.. ocv:class:: gpu::CascadeClassifier_GPU
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This cascade classifier class is used for object detection.
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::
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@@ -247,7 +247,7 @@ This cascade classifier class is used for object detection.
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gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
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-----------------------------------------------------
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.. cpp:function:: gpu::CascadeClassifier_GPU(const string\& filename)
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.. ocv:function:: gpu::CascadeClassifier_GPU(const string\& filename)
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Loads the classifier from a file.
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@@ -259,7 +259,7 @@ gpu::CascadeClassifier_GPU::CascadeClassifier_GPU
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gpu::CascadeClassifier_GPU::empty
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-------------------------------------
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.. cpp:function:: bool gpu::CascadeClassifier_GPU::empty() const
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.. ocv:function:: bool gpu::CascadeClassifier_GPU::empty() const
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Checks whether the classifier is loaded or not.
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@@ -269,7 +269,7 @@ gpu::CascadeClassifier_GPU::empty
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gpu::CascadeClassifier_GPU::load
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------------------------------------
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.. cpp:function:: bool gpu::CascadeClassifier_GPU::load(const string\& filename)
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.. ocv:function:: bool gpu::CascadeClassifier_GPU::load(const string\& filename)
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Loads the classifier from a file. The previous content is destroyed.
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@@ -279,7 +279,7 @@ gpu::CascadeClassifier_GPU::load
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gpu::CascadeClassifier_GPU::release
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---------------------------------------
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.. cpp:function:: void gpu::CascadeClassifier_GPU::release()
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.. ocv:function:: void gpu::CascadeClassifier_GPU::release()
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Destroys the loaded classifier.
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@@ -287,7 +287,7 @@ gpu::CascadeClassifier_GPU::release
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gpu::CascadeClassifier_GPU::detectMultiScale
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------------------------------------------------
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.. cpp:function:: int gpu::CascadeClassifier_GPU::detectMultiScale(const GpuMat\& image, GpuMat\& objectsBuf, double scaleFactor=1.2, int minNeighbors=4, Size minSize=Size())
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.. ocv:function:: int gpu::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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@@ -324,5 +324,5 @@ gpu::CascadeClassifier_GPU::detectMultiScale
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imshow("Faces", image_cpu);
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See Also: :cpp:func:`CascadeClassifier::detectMultiScale`
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See Also: :ocv:func:`CascadeClassifier::detectMultiScale`
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