The new version of dlib is out. This release contains mostly minor bug fixes and usability improvements, with the notable exception of new routines for extracting local-binary-pattern features from images and improved tools for learning distance metrics. See the release notes for further information.
I also recently found out about two particularly interesting projects that use dlib. The first is menpo, a Python library focused on computer vision which is being developed by a team at Imperial College London. If you are interested in a Python library that pulls together a bunch of computer vision tools then definitely check it out. The other interesting project is Ceemple, which is basically an interactive language shell for C++. They have integrated a bunch of libraries like dlib and OpenCV into it with the general goal of making C++ development feel more rapid and interactive. So think of something like MATLAB or IPython, but for C++.
1 comment :
Is it possible to use http://dlib.net/train_shape_pr... and http://dlib.net/face_landmark_... to training with different landmark numbers? Both detect 68 landmarks in a frontal face by default. I would like to detect 39 landmarks only (I can train all right using the train_shape_predictor_ex however face_landmark_detection_ex outputs the attached message:
exception thrown!
Error detected at line 25.
Error detected in file /Users/Vareto/Documents/Dlib/dlib/../dlib/image_processing/render_face_detections.h.
Error detected in function std::vector dlib::render_face_detections(const std::vector &, const dlib::rgb_pixel).
Failing expression was dets[i].num_parts() == 68.
std::vector render_face_detections()
Invalid inputs were given to this function.
dets[0].num_parts(): 39
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