{ "info": { "author": "Andre Anjos", "author_email": "andre.anjos@idiap.ch", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Natural Language :: English", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "==============================\n Python Bindings to flandmark\n==============================\n\nThis package is a simple Boost.Python wrapper to the (rather quick) open-source\nfacial landmark detector `flandmark\n`_, **version 1.0.7**\n(or the github state as of 10/february/2013).\nIf you use this package, the author asks you to cite the following paper::\n\n @inproceedings{Uricar-Franc-Hlavac-VISAPP-2012,\n author = {U{\\v{r}}i{\\v{c}}{\\'{a}}{\\v{r}}, Michal and Franc, Vojt{\\v{e}}ch and Hlav{\\'{a}}{\\v{c}}, V{\\'{a}}clav},\n title = {Detector of Facial Landmarks Learned by the Structured Output {SVM}},\n year = {2012},\n pages = {547-556},\n booktitle = {VISAPP '12: Proceedings of the 7th International Conference on Computer Vision Theory and Applications},\n editor = {Csurka, Gabriela and Braz, Jos{\\'{e}}},\n publisher = {SciTePress --- Science and Technology Publications},\n address = {Portugal},\n volume = {1},\n isbn = {978-989-8565-03-7},\n book_pages = {747},\n month = {February},\n day = {24-26},\n venue = {Rome, Italy},\n keywords = {Facial Landmark Detection, Structured Output Classification, Support Vector Machines, Deformable Part Models},\n prestige = {important},\n authorship = {50-40-10},\n status = {published},\n project = {FP7-ICT-247525 HUMAVIPS, PERG04-GA-2008-239455 SEMISOL, Czech Ministry of Education project 1M0567},\n www = {http://www.visapp.visigrapp.org},\n }\n\nYou should also cite `Bob `_, as a core\nframework::\n\n @inproceedings{Anjos_ACMMM_2012,\n author = {A. Anjos AND L. El Shafey AND R. Wallace AND M. G\\\"unther AND C. McCool AND S. Marcel},\n title = {Bob: a free signal processing and machine learning toolbox for researchers},\n year = {2012},\n month = oct,\n booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan},\n publisher = {ACM Press},\n url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},\n }\n\nInstallation\n------------\n\nYou can just add a dependence for ``xbob.flandmark`` on your ``setup.py`` to\nautomatically download and have this package available at your satellite\npackage. This works well if Bob_ is installed centrally at your machine.\n\nOtherwise, you will need to tell ``buildout`` how to build the package locally\nand how to find Bob_. For that, just add a custom egg recipe to your\nbuildout that will fetch the package and compile it locally, setting the\nbuildout variable ``prefixes`` to where Bob_ is installed (a build directory\nwill work as well). For example::\n\n [buildout]\n parts = flandmark \n ...\n prefixes = /Users/andre/work/bob/build/debug\n\n ...\n\n [flandmark]\n recipe = xbob.buildout:develop\n\n ...\n\nDevelopment\n-----------\n\nTo develop these bindings, you will need the open-source library Bob_ installed\nsomewhere. At least version 1.1 of Bob is required. If you have compiled Bob\nyourself and installed it on a non-standard location, you will need to note\ndown the path leading to the root of that installation.\n\nJust type::\n\n $ python bootstrap.py\n $ ./bin/buildout\n\nIf Bob is installed in a non-standard location, edit the file ``buildout.cfg``\nto set the root to Bob's local installation path. Remember to use the **same\npython interpreter** that was used to compile Bob_, then execute the same steps\nas above.\n\nUsage\n-----\n\nPretty simple, just do something like::\n\n import bob\n from xbob import flandmark\n\n video = bob.io.VideoReader('myvideo.avi')\n localizer = flandmark.Localizer()\n\n for frame in video:\n print localizer(frame)\n\nIf you already have a detected bounding box, you can plug the coordinates of the bounding box into the localizer call::\n\n landmarks = localizer(image, top, left, height, width)\n\nIn total, 8 ``landmarks`` are returned by the localizer.\nFor the list and the interpretation of the landmarks, please have a look `here `_.\n\n.. warning::\n Since version 1.1 of this package, the landmarks are returned in the Bob_-typical order, which is ``(y,x)``.\n Please update your code to this new behavior.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 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