Improved the public 'non-optimized' duplicates of 'Tegra-optimized' functions.
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@@ -502,27 +502,27 @@ Sample usage of detecting and drawing chessboard corners: ::
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findCirclesGrid
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-------------------
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Finds the centers in the grid of circles.
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Finds centers in the grid of circles.
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.. ocv:function:: bool findCirclesGrid( InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr<FeatureDetector> &blobDetector = new SimpleBlobDetector() )
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.. ocv:pyfunction:: cv2.findCirclesGridDefault(image, patternSize[, centers[, flags]]) -> retval, centers
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:param image: Grid view of source circles. It must be an 8-bit grayscale or color image.
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:param image: grid view of input circles; it must be an 8-bit grayscale or color image.
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:param patternSize: Number of circles per a grid row and column ``( patternSize = Size(points_per_row, points_per_colum) )`` .
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:param patternSize: number of circles per row and column ``( patternSize = Size(points_per_row, points_per_colum) )``.
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:param centers: Output array of detected centers.
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:param centers: output array of detected centers.
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:param flags: Various operation flags that can be one of the following values:
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:param flags: various operation flags that can be one of the following values:
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* **CALIB_CB_SYMMETRIC_GRID** Use symmetric pattern of circles.
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* **CALIB_CB_SYMMETRIC_GRID** uses symmetric pattern of circles.
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* **CALIB_CB_ASYMMETRIC_GRID** Use asymmetric pattern of circles.
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* **CALIB_CB_ASYMMETRIC_GRID** uses asymmetric pattern of circles.
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* **CALIB_CB_CLUSTERING** Use a special algorithm for grid detection. It is more robust to perspective distortions but much more sensitive to background clutter.
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* **CALIB_CB_CLUSTERING** uses a special algorithm for grid detection. It is more robust to perspective distortions but much more sensitive to background clutter.
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:param blobDetector: FeatureDetector that finds blobs like dark circles on light background
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:param blobDetector: feature detector that finds blobs like dark circles on light background.
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The function attempts to determine
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