------------------
.. 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
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)
+ int nlevels=DEFAULT_NLEVELS)??check the output??
- Creates the ``HOG`` descriptor and detector.
+ Creates the ``HOG`` descriptor and detector.
- :param win_size: Detection window size. Align to block size and block stride.
+ :param win_size: Detection window size. Align to block size and block stride.
- :param block_size: Block size in pixels. Align to cell size. Only (16,16) is supported for now.
+ :param block_size: Block size in pixels. Align to cell size. Only (16,16) is supported for now.
- :param block_stride: Block stride. It must be a multiple of cell size.
+ :param block_stride: Block stride. It must be a multiple of cell size.
- :param cell_size: Cell size. Only (8, 8) is supported for now.
+ :param cell_size: Cell size. Only (8, 8) is supported for now.
- :param nbins: Number of bins. Only 9 bins per cell are supported for now.
+ :param nbins: Number of bins. Only 9 bins per cell are supported for now.
- :param win_sigma: Gaussian smoothing window parameter.
+ :param win_sigma: Gaussian smoothing window parameter.
- :param threshold_L2Hys: L2-Hys normalization method shrinkage.
+ :param threshold_L2Hys: L2-Hys normalization method shrinkage.
- :param gamma_correction: Flag to specify whether the gamma correction preprocessing is required or not.
+ :param gamma_correction: Flag to specify whether the gamma correction preprocessing is required or not.
- :param nlevels: Maximum number of detection window increases.
+ :param nlevels: Maximum number of detection window increases.
.. index:: gpu::HOGDescriptor::getDescriptorSize
------------------------------
.. ocv:function:: void gpu::HOGDescriptor::detect(const GpuMat\& img,
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.
- :param img: Source image. ``CV_8UC1`` and ``CV_8UC4`` types are supported for now.
+ :param img: Source image. ``CV_8UC1`` and ``CV_8UC4`` types are supported for now.
- :param found_locations: Left-top corner points of detected objects boundaries.
+ :param found_locations: Left-top corner points of detected objects boundaries.
- :param hit_threshold: Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specfied in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
+ :param hit_threshold: Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specfied in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
- :param win_stride: Window stride. It must be a multiple of block stride.
+ :param win_stride: Window stride. It must be a multiple of block stride.
- :param padding: Mock parameter to keep the CPU interface compatibility. It must be (0,0).
+ :param padding: Mock parameter to keep the CPU interface compatibility. It must be (0,0).
.. index:: 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)
+ double scale0=1.05, int group_threshold=2)??the same??
Performs object detection with a multi-scale window.
- :param img: Source image. See :ocv:func:`gpu::HOGDescriptor::detect` for type limitations.
+ :param img: Source image. See :ocv:func:`gpu::HOGDescriptor::detect` for type limitations.
- :param found_locations: Detected objects boundaries.
+ :param found_locations: Detected objects boundaries.
- :param hit_threshold: Threshold for the distance between features and SVM classifying plane. See :ocv:func:`gpu::HOGDescriptor::detect` for details.
+ :param hit_threshold: Threshold for the distance between features and SVM classifying plane. See :ocv:func:`gpu::HOGDescriptor::detect` for details.
- :param win_stride: Window stride. It must be a multiple of block stride.
+ :param win_stride: Window stride. It must be a multiple of block stride.
- :param padding: Mock parameter to keep the CPU interface compatibility. It must be (0,0).
+ :param padding: Mock parameter to keep the CPU interface compatibility. It must be (0,0).
- :param scale0: Coefficient of the detection window increase.
+ :param scale0: Coefficient of the detection window increase.
- :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` .
+ :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` .
.. index:: 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)
+ 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.
- :param img: Source image. See :ocv:func:`gpu::HOGDescriptor::detect` for type limitations.
+ :param img: Source image. See :ocv:func:`gpu::HOGDescriptor::detect` for type limitations.
- :param win_stride: Window stride. It must be a multiple of block stride.
+ :param win_stride: Window stride. It must be a multiple of block stride.
- :param descriptors: 2D array of descriptors.
+ :param descriptors: 2D array of descriptors.
- :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
--------------------------
.. 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
imshow("Faces", image_cpu);
-See Also: :ocv:func:`CascadeClassifier::detectMultiScale`
+.. seealso:: :ocv:func:`CascadeClassifier::detectMultiScale`
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