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1 |
| -An overview of the contrib modules and a small explanation |
2 |
| ----------------------------------------------------------- |
| 1 | +An overview of the opencv_contrib modules |
| 2 | +----------------------------------------- |
3 | 3 |
|
4 | 4 | This list gives an overview of all modules available inside the contrib repository.
|
5 |
| -These are also the correct names for disabling the building of a specific module by adding |
| 5 | +To turn off building one of these module repositories, set the names in bold below to <reponame> |
6 | 6 |
|
7 | 7 | ```
|
8 |
| -$ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_reponame=OFF <opencv_source_directory> |
| 8 | +$ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<reponame>=OFF <opencv_source_directory> |
9 | 9 | ```
|
10 | 10 |
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11 |
| -1. **opencv_adas**: Advanced Driver Assistance Systems module with Forward Collision Warning. |
| 11 | +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. |
12 | 12 |
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13 |
| -2. **opencv_bgsegm**: Improved Adaptive Background Mixture Model for Real-time Tracking / Visual Tracking of Human Visitors under Variable-Lighting Conditions. |
| 13 | +2. **bgsegm**: Background Segmentation -- Improved Adaptive Background Mixture Model and use for real time human tracking under Variable-Lighting Conditions. |
14 | 14 |
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15 |
| -3. **opencv_bioinspired**: Biologically inspired vision models and derivated tools. |
| 15 | +3. **bioinspired**: Biological Vision -- Biologically inspired vision model: minimize noise and luminance variance, transient event segmentation, high dynamic range tone mapping methods. |
16 | 16 |
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17 |
| -4. **opencv_ ccalib**: Custom Calibration Pattern for 3D reconstruction. |
| 17 | +4. **ccalib**: Custom Calibration -- Patterns for 3D reconstruction, omnidirectional camera calibration, random pattern calibration and multi-camera calibration. |
18 | 18 |
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19 |
| -5. **opencv_cvv**: GUI for Interactive Visual Debugging of Computer Vision Programs. |
| 19 | +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. |
20 | 20 |
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21 |
| -6. **opencv_datasets**: Interface for interfacing with existing computer vision databases. |
| 21 | +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. |
22 | 22 |
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23 |
| -7. **opencv_datasettools**: Tools for working with different datasets. |
| 23 | +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. |
24 | 24 |
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25 |
| -8. **opencv_face**: Recently added face recognition software which is not yet stabilized. |
| 25 | +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. |
26 | 26 |
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27 |
| -9. **opencv_latentsvm**: Implementation of the LatentSVM detector algorithm. |
| 27 | +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. |
28 | 28 |
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29 |
| -10. **opencv_line_descriptor**: Binary descriptors for lines extracted from an image. |
| 29 | +10. **dnns_easily_fooled**: Subvert DNNs -- This code can use the activations in a network to fool the networks into recognizing something else. |
30 | 30 |
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31 |
| -11. **opencv_matlab**: OpenCV Matlab Code Generator. |
| 31 | +11. **dpm**: Deformable Part Model -- Felzenszwalb's Cascade with deformable parts object recognition code. |
32 | 32 |
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33 |
| -12. **opencv_optflow**: Optical Flow Algorithms for tracking points. |
| 33 | +12. **face**: Face Recognition -- Face recognition techniques: Eigen, Fisher and Local Binary Pattern Histograms LBPH methods. |
34 | 34 |
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35 |
| -13. **opencv_reg**: Image Registration module. |
| 35 | +13. **fuzzy**: Fuzzy Logic in Vision -- Fuzzy logic image transform and inverse; Fuzzy image processing. |
36 | 36 |
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37 |
| -14. **opencv_rgbd**: RGB-Depth Processing module. |
| 37 | +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. |
38 | 38 |
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39 |
| -15. **opencv_saliency**: Saliency API, understanding where humans focus given a scene. |
| 39 | +15. **line_descriptor**: Line Segment Extract and Match -- Methods of extracting, describing and latching line segments using binary descriptors. |
40 | 40 |
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41 |
| -16. **opencv_surface_matching**: Surface Matching Algorithm Through 3D Features. |
| 41 | +16. **matlab**: Matlab Interface -- OpenCV Matlab Mex wrapper code generator for certain opencv core modules. |
42 | 42 |
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43 |
| -17. **opencv_text**: Scene Text Detection and Recognition in Natural Scene Images. |
| 43 | +17. **optflow**: Optical Flow -- Algorithms for running and evaluating deepflow, simpleflow, sparsetodenseflow and motion templates (silhouette flow). |
44 | 44 |
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45 |
| -18. **opencv_tracking**: Long-term optical tracking API. |
| 45 | +18. **plot**: Plotting -- The plot module allows you to easily plot data in 1D or 2D. |
46 | 46 |
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47 |
| -19. **opencv_xfeatures2d**: Extra 2D Features Framework containing experimental and non-free 2D feature algorithms. |
| 47 | +19. **reg**: Image Registration -- Pixels based image registration for precise alignment. Follows the paper "Image Alignment and Stitching: A Tutorial", by Richard Szeliski. |
48 | 48 |
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49 |
| -20. **opencv_ximgproc**: Extended Image Processing: Structured Forests / Domain Transform Filter / Guided Filter / Adaptive Manifold Filter / Joint Bilateral Filter / Superpixels. |
| 49 | +20. **rgbd**: RGB-Depth Processing module -- Linemod 3D object recognition; Fast surface normals and 3D plane finding. 3D visual odometry |
50 | 50 |
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51 |
| -21. **opencv_xobjdetect**: Integral Channel Features Detector Framework. |
| 51 | +21. **saliency**: Saliency API -- Where humans would look in a scene. Has routines for static, motion and "objectness" saliency. |
52 | 52 |
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53 |
| -22. **opencv_xphoto**: Additional photo processing algorithms: Color balance / Denoising / Inpainting. |
| 53 | +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. |
54 | 54 |
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55 |
| -23. **opencv_stereo**: Stereo Correspondence done with different descriptors: Census / CS-Census / MCT / BRIEF / MV. |
| 55 | +23. **stereo**: Stereo Correspondence -- Stereo matching done with different descriptors: Census / CS-Census / MCT / BRIEF / MV. |
56 | 56 |
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57 |
| -24. **opencv_hdf**: Hierarchical Data Format I/O. |
| 57 | +24. **structured_light**: Structured Light Use -- How to generate and project gray code patterns and use them to find dense depth in a scene. |
58 | 58 |
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59 |
| -25. **opencv_fuzzy**: New module focused on the fuzzy image processing. |
| 59 | +25. **surface_matching**: Point Pair Features -- Implements 3d object detection and localization using multimodal point pair features. |
| 60 | + |
| 61 | +26. **text**: Visual Text Matching -- In a visual scene, detect text, segment words and recognise the text. |
| 62 | + |
| 63 | +27. **tracking**: Vision Based Object Tracking -- Use and/or evaluate one of 5 different visual object tracking techniques. |
| 64 | + |
| 65 | +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. |
| 66 | + |
| 67 | +29. **ximgproc**: Extended Image Processing -- Structured Forests / Domain Transform Filter / Guided Filter / Adaptive Manifold Filter / Joint Bilateral Filter / Superpixels. |
| 68 | + |
| 69 | +30. **xobjdetect**: Boosted 2D Object Detection -- Uses a Waldboost cascade and local binary patterns computed as integral features for 2D object detection. |
| 70 | + |
| 71 | +31. **xphoto**: Extra Computational Photography -- Additional photo processing algorithms: Color balance / Denoising / Inpainting. |
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