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dlib C++ library18.2 by Davis King |
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Software Description:
Dlib is a general purpose cross-platform C++ library designed using contract programming and modern C++ techniques. It is open source software and licensed under the Boost Software License. The introduction contains everything you need to know to get started using the library. However, if you have any questions, comments, or complaints feel free to email me or post in the sourceforge Forums. ...
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| Released: | April 20, 2012 |
| Filesize: | 4.40 MB |
| Platform: | Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64 |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
dlib C++ library- Releases History |
| Software: | dlib C++ library 18.2 |
| Date Released: | Apr 20, 2012 |
| Status: | New Release |
| Release Notes: | New Features: Object Detection Tools: · Added another image scanning tool similar to scan_image_pyramid. This is the new scan_image_boxes object. It allows a user to easily specify an arbitrary set of object boxes which should be checked by an object detector rather than scanning a fixed sized window over the image as is done by the scan_image_pyramid tool. This allows more flexible scanning strategies. For example, it is now possible to use the selective search method implemented by the new find_candidate_object_locations() routine. · Added the binned_vector_feature_image. · Upgraded the object_detector so that you can use the adjust_threshold argument for all versions of the operator() method. · Added remove_unobtainable_rectangles() Hashing Tools: · Added a set of new locality sensitive hashing functions meant for use with larger vectors and higher bit sizes than the current LSH tools. · These are the new hash_similar_angles_xxx objects. |
| Software: | dlib C++ library 17.46 |
| Date Released: | Apr 20, 2012 |
| Status: | New Release |
| Release Notes: | New Stuff: Image Processing: · Added the option to make the features generated by the poly_image · rotationally invariant. · Added a set of routines for warping, scaling, and resizing images. · See the new "Scaling and Rotating" section of the image processing · documentation for details. · Added the heatmap() routine for converting an image into a heatmap. · Machine Learning · Updated the sequence labeling trainer to allow the user to set different · loss values for different labels. · Added the rls object. It is an implementation of the linear recursive · least squares algorithm. · Added the get_option() routines which slightly simplify option parsing · from the command line and config files. · Added the 128bit version of Murmur hash. · Added the rls_filter and kalman_filter objects. These are tools for · performing Kalman filtering and recursive least squares filtering. · Added the circular_buffer object. Non-Backwards Compatible Changes: · The poly_image generates slightly differen |
| Software: | dlib C++ library 17.45 |
| Date Released: | Feb 6, 2012 |
| Status: | New Release |
| Release Notes: | New Stuff: · Added tools for timing blocks of code · Machine Learning · Added a set of tools for learning to solve the assignment problem. · See the structural_assignment_trainer and its associated example · program for an introduction. · Added random projection based locality sensitive hashing tools. · Added tools to simplify the creation of scan_image_pyramid objects. · See the object_detector_ex.cpp example program for details. · Image Processing · Added sum_filter() and spatially_filter_image_separable_down() · New feature extractors: poly_image, nearest_neighbor_feature_image, and · fine_hog_image Non-Backwards Compatible Changes: · Changed the serialization format for rand objects. · Changed the order of arguments for the sequence_labeler's constructor. · Object Detection Changes · Some parts of the object detection tools have been refactored. In particular, · the interfaces of the scan_image_pyramid and structural_object_detection_trainer · have been changed slightly to improve |
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dlib C++ library 18.2 download by Davis King
... regularly on win32, Linux, and Mac OS X systems. However, it should work on any POSIX system ... based Support Vector Machines for classification and regression Reduced-rank methods for large-scale classification and regression Relevance vector ...
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