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If you have a question rather than reporting a bug please go to http://answers.opencv.org where you get much faster responses.
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If you need further assistance please read [How To Contribute](https://github.com/opencv/opencv/wiki/How_to_contribute).
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This is a template helping you to create an issue which can be processed as quickly as possible. This is the bug reporting section for the OpenCV library.
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##### System information (version)
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<!-- Example
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- OpenCV => 3.1
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- Operating System / Platform => Windows 64 Bit
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- Compiler => Visual Studio 2015
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- OpenCV => :grey_question:
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- Operating System / Platform => :grey_question:
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- Compiler => :grey_question:
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##### Detailed description
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<!-- your description -->
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##### Steps to reproduce
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<!-- to add code example fence it with triple backticks and optional file extension
All guidelines for contributing to the OpenCV repository can be found at [`How to contribute guideline`](https://github.com/Itseez/opencv/wiki/How_to_contribute).
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All guidelines for contributing to the OpenCV repository can be found at [`How to contribute guideline`](https://github.com/opencv/opencv/wiki/How_to_contribute).
1.**aruco**: ArUco and ChArUco Markers -- Augmented reality ArUco marker and "ChARUco" markers where ArUco markers embedded inside the white areas of the checker board.
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-**aruco**: ArUco and ChArUco Markers -- Augmented reality ArUco marker and "ChARUco" markers where ArUco markers embedded inside the white areas of the checker board.
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2.**bgsegm**: Background Segmentation -- Improved Adaptive Background Mixture Model and use for real time human tracking under Variable-Lighting Conditions.
3.**bioinspired**: Biological Vision -- Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods.
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-**bioinspired**: Biological Vision -- Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods.
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4.**ccalib**: Custom Calibration -- Patterns for 3D reconstruction, omnidirectional camera calibration, random pattern calibration and multi-camera calibration.
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-**ccalib**: Custom Calibration -- Patterns for 3D reconstruction, omnidirectional camera calibration, random pattern calibration and multi-camera calibration.
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5.**cnn_3dobj**: Deep Object Recognition and Pose -- Uses Caffe Deep Neural Net library to build, train and test a CNN model of visual object recognition and pose.
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-**cnn_3dobj**: Deep Object Recognition and Pose -- Uses Caffe Deep Neural Net library to build, train and test a CNN model of visual object recognition and pose.
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6.**contrib_world**: opencv_contrib holder -- contrib_world is the module that when built, contains all other opencv_contrib modules. It may be used for the more convenient redistribution of opencv binaries.
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-**contrib_world**: opencv_contrib holder -- contrib_world is the module that when built, contains all other opencv_contrib modules. It may be used for the more convenient redistribution of opencv binaries.
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7.**cvv**: Computer Vision Debugger -- Simple code that you can add to your program that pops up a GUI allowing you to interactively and visually debug computer vision programs.
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-**cvv**: Computer Vision Debugger -- Simple code that you can add to your program that pops up a GUI allowing you to interactively and visually debug computer vision programs.
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8.**datasets**: Datasets Reader -- Code for reading existing computer vision databases and samples of using the readers to train, test and run using that dataset's data.
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-**datasets**: Datasets Reader -- Code for reading existing computer vision databases and samples of using the readers to train, test and run using that dataset's data.
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9.**dnn**: Deep Neural Networks (DNNs) -- This module can read in image recogniton networks trained in the Caffe neural netowrk library and run them efficiently on CPU.
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-**dnns_easily_fooled**: Subvert DNNs -- This code can use the activations in a network to fool the networks into recognizing something else.
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10.**dnns_easily_fooled**: Subvert DNNs -- This code can use the activations in a network to fool the networks into recognizing something else.
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-**dpm**: Deformable Part Model -- Felzenszwalb's Cascade with deformable parts object recognition code.
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11.**dpm**: Deformable Part Model -- Felzenszwalb's Cascade with deformable parts object recognition code.
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-**face**: Face Recognition -- Face recognition techniques: Eigen, Fisher and Local Binary Pattern Histograms LBPH methods.
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12.**face**: Face Recognition -- Face recognition techniques: Eigen, Fisher and Local Binary Pattern Histograms LBPH methods.
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-**fuzzy**: Fuzzy Logic in Vision -- Fuzzy logic image transform and inverse; Fuzzy image processing.
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13.**fuzzy**: Fuzzy Logic in Vision -- Fuzzy logic image transform and inverse; Fuzzy image processing.
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-**freetype**: Drawing text using freetype and harfbuzz.
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14.**hdf**: Hierarchical Data Storage -- This module contains I/O routines for Hierarchical Data Format: https://en.m.wikipedia.org/wiki/Hierarchical_Data_Format meant to store large amounts of data.
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-**hdf**: Hierarchical Data Storage -- This module contains I/O routines for Hierarchical Data Format: https://en.m.wikipedia.org/wiki/Hierarchical_Data_Format meant to store large amounts of data.
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15.**line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and latching line segments using binary descriptors.
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-**line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and latching line segments using binary descriptors.
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16.**matlab**: Matlab Interface -- OpenCV Matlab Mex wrapper code generator for certain opencv core modules.
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-**matlab**: Matlab Interface -- OpenCV Matlab Mex wrapper code generator for certain opencv core modules.
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17.**optflow**: Optical Flow -- Algorithms for running and evaluating deepflow, simpleflow, sparsetodenseflow and motion templates (silhouette flow).
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-**optflow**: Optical Flow -- Algorithms for running and evaluating deepflow, simpleflow, sparsetodenseflow and motion templates (silhouette flow).
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18.**plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D.
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-**plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D.
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19.**reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski.
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-**reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski.
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20.**rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry
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-**rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry
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21.**saliency**: Saliency API -- Where humans would look in a scene. Has routines for static, motion and "objectness" saliency.
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-**saliency**: Saliency API -- Where humans would look in a scene. Has routines for static, motion and "objectness" saliency.
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22.**sfm**: Structure from Motion -- This module contains algorithms to perform 3d reconstruction from 2d images. The core of the module is a light version of Libmv.
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-**sfm**: Structure from Motion -- This module contains algorithms to perform 3d reconstruction from 2d images. The core of the module is a light version of Libmv.
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23.**stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
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-**stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV.
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24.**structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
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-**structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene.
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25.**surface_matching**: Point Pair Features -- Implements 3d object detection and localization using multimodal point pair features.
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-**surface_matching**: Point Pair Features -- Implements 3d object detection and localization using multimodal point pair features.
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26.**text**: Visual Text Matching -- In a visual scene, detect text, segment words and recognise the text.
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-**text**: Visual Text Matching -- In a visual scene, detect text, segment words and recognise the text.
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27.**tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques.
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-**tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques.
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28.**xfeatures2d**: Features2D extra -- Extra 2D Features Framework containing experimental and non-free 2D feature detector/descriptor algorithms. SURF, SIFT, BRIEF, Censure, Freak, LUCID, Daisy, Self-similar.
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-**xfeatures2d**: Features2D extra -- Extra 2D Features Framework containing experimental and non-free 2D feature detector/descriptor algorithms. SURF, SIFT, BRIEF, Censure, Freak, LUCID, Daisy, Self-similar.
30.**xobjdetect**: Boosted 2D Object Detection -- Uses a Waldboost cascade and local binary patterns computed as integral features for 2D object detection.
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-**xobjdetect**: Boosted 2D Object Detection -- Uses a Waldboost cascade and local binary patterns computed as integral features for 2D object detection.
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31.**xphoto**: Extra Computational Photography -- Additional photo processing algorithms: Color balance / Denoising / Inpainting.
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-**xphoto**: Extra Computational Photography -- Additional photo processing algorithms: Color balance / Denoising / Inpainting.
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