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Merge remote-tracking branch 'upstream/3.4' into merge-3.4
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@@ -107,8 +107,9 @@ you may access it. For sequences you need to go through them to query a specific
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then we have to specify if our output is either a sequence or map.
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For sequence before the first element print the "[" character and after the last one the "]"
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character. With Python, the "]" character could be written with the name of the sequence or
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the last element of the sequence depending on the number of elements:
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character. With Python, call `FileStorage.startWriteStruct(structure_name, struct_type)`,
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where `struct_type` is `cv2.FileNode_MAP` or `cv2.FileNode_SEQ` to start writing the structure.
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Call `FileStorage.endWriteStruct()` to finish the structure:
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@add_toggle_cpp
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@snippet cpp/tutorial_code/core/file_input_output/file_input_output.cpp writeStr
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@end_toggle
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@@ -243,65 +243,9 @@ In this section you will learn about the image processing (manipulation) functio
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Where we learn how to match templates in an image
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- @subpage tutorial_find_contours
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- @subpage tutorial_table_of_contents_contours
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to find contours of objects in our image
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- @subpage tutorial_hull
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to get hull contours and draw them
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- @subpage tutorial_bounding_rects_circles
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to obtain bounding boxes and circles for our contours
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- @subpage tutorial_bounding_rotated_ellipses
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to obtain rotated bounding boxes and ellipses for our contours
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- @subpage tutorial_moments
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn to calculate the moments of an image
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- @subpage tutorial_point_polygon_test
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to calculate distances from the image to contours
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Learn how to find contours in images and investigate their properties and features.
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- @subpage tutorial_distance_transform
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@@ -0,0 +1,62 @@
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Contours in OpenCV {#tutorial_table_of_contents_contours}
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==================
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- @subpage tutorial_find_contours
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to find contours of objects in our image
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- @subpage tutorial_hull
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to get hull contours and draw them
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- @subpage tutorial_bounding_rects_circles
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to obtain bounding boxes and circles for our contours
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- @subpage tutorial_bounding_rotated_ellipses
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to obtain rotated bounding boxes and ellipses for our contours
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- @subpage tutorial_moments
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn to calculate the moments of an image
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- @subpage tutorial_point_polygon_test
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*Languages:* C++, Java, Python
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*Compatibility:* \> OpenCV 2.0
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*Author:* Ana Huamán
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Where we learn how to calculate distances from the image to contours
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