fix java wrappers for ERFilter, OCRHMMDecoder, OCRBeamSearchDecoder (#1210)

* fix java wrappers for ERFilter, OCRHMMDecoder, OCRBeamSearchDecoder

* fix comments

issue #980 resolves - Some module has a round error similar to #975.  (#981)

* round function changes to cvRound

Minor changes to fix lower visual studio version build errors.

* round function changes to cvRound

Minor changes to fix lower visual studio version build errors.

* round function changes to cvRound

Minor changes to fix lower visual studio version build errors.

Bug in Text module when set Optimization Level to "-Ofast" in xcode (#921)

* Bug in Text module when set Optimization Level to "-Ofast" in xcode

Bug when set Optimization Level to "-Ofast" (Fastest, Aggressive Optimizations) in xcode, read the wrong patch_size parameters to 7 (should be 8). This bug will occured in loadOCRHMMClassifierCNN function called by example_text_character_recognition and example_text_segmented_word_recognition.

*  Bug in Text module when set Optimization Level to "-Ofast" in xcode

Bug when set Optimization Level to "-Ofast" (Fastest, Aggressive Optimizations) in xcode, read the wrong patch_size parameters to 7 (should be 8). This bug will occured in loadOCRHMMClassifierCNN function called by example_text_character_recognition and example_text_segmented_word_recognition.

changed double *p to vector<double>

erGrouping python bindings and sample script textdetection.py which mimics the same detection pipeline as in textdetection.cpp

Required for MSVC 2008, shouldn't affect results otherwise.

Required for MSVC 2008, shouldn't affect result otherwise.

Variables p2-p9 are booleans, so combination of logical negation
and use of bit and/or operations in lines 2823 and 2824 results
in the following warning from gcc:
warning: suggest parentheses around operand of ‘!’ or change ‘&’
to ‘&&’ or ‘!’ to ‘~’ [-Wparentheses]

OCRBeamSearchDecoder code refactor: fixes most of the TODOs comments, cleans-up code, and fix a bug in score_segmentation(...) member function.

Overload the run() method in BaseOCR class in order to adapt to different classifier callbacks. The original run() method accepts only one Mat input image, this is expected to be a binarzed image with black and white text and works both with the OCRTesseract class and the OCRHMMDecoder class when the character classifier callback works with binary images (e.g. NM). The new run() method accepts two Mat input parameters. One for the gray scale (or color) source image and the other for a binary mask where each connected component corresponds to a pre-segmented character in the input image. This way the OCRHMMDecoder is able to work with character classifiers that operate in grey scale (or color) images (e.g. a CNN).

Fix bug #4373: Error (Assertion failed in resize) when passing very elongated contours to the recognition module

Adds createOCRHMMTransitionsTable() utility function to create a tailored language model transitions table from a given list of words (lexicon)

Adds a first implementation of the OCRBeamSearchDecoder class using the Single Layer CNN character classifier described in Coates, Adam, et al. paper: Text detection and character recognition in scene images with unsupervised feature learning, ICDAR 2011

Fix for Bug #3633: do away with "quads [2][3] = 255;" The four lowest bits in each quads[i][j] correspond to the 2x2 binary patterns Q_1, Q_2, Q_3 in the NM paper [1] (see in page 4 at the end of first column). Q_1 and Q_2 have four patterns, while Q_3 has only two.

Fix for Bug 4074. This seems to be just a typo-error, because the Tesseract API can handle correctly with RGB images (double-checked and it works).

fixed several warnings in opencv_contrib (text, xfeatures2d); added tesseract installation mini-guide in text/readme.md