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started work on API & doc synchronization (in particular, Mat& => Input/OutputArray in the descriptions)
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@@ -173,11 +173,11 @@ gpu::HOGDescriptor::detectMultiScale
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Performs object detection with a multi-scale window.
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:param img: Source image. See :func:`gpu::HOGDescriptor::detect` for type limitations.
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:param img: Source image. See :cpp: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 :func:`gpu::HOGDescriptor::detect` for details.
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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 win_stride: Window stride. It must be a multiple of block stride.
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@@ -185,7 +185,7 @@ 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 :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 :cpp:func:`groupRectangles` .
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.. index:: gpu::HOGDescriptor::getDescriptors
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@@ -197,7 +197,7 @@ gpu::HOGDescriptor::getDescriptors
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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 :func:`gpu::HOGDescriptor::detect` for type limitations.
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:param img: Source image. See :cpp: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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@@ -324,5 +324,5 @@ gpu::CascadeClassifier_GPU::detectMultiScale
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imshow("Faces", image_cpu);
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See Also: :c:func:`CascadeClassifier::detectMultiScale`
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See Also: :c:cpp:func:`CascadeClassifier::detectMultiScale`
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