VideoTagger specifications


Unique identifier OMICS_28461
Name VideoTagger
Software type Application/Script
Interface Command line interface, Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
Computer skills Advanced
Stability Stable
Cython, FFVideo, Gato, Jinja2, Jug, MarkupSafe, OpenGLContext, PIL, Pillow, PyDispatcher, PyOpenGL, PyVRML97, PyVRML97-accelerate, Pygments, SimpleParse, Sphinx, TTFQuery, Wand, argparse, colorama, cvxopt, decorator, docutils, glumpy, ipython, joblib, line-profiler, #llvmmath, #llvmpy, matplotlib, #meta, milk, nose, #numba, numpy, py, pypng, pytest, python-poppler-qt4, pytools, #pyvision, pyzmq, qimage2ndarray, redis, scikit-learn, scikits-image, scipy, six, tornado, wsgiref, yolk
Maintained Yes




No version available



  • person_outline Matthew Piper
  • person_outline Gabriel Brostow

Additional information

Publication for VideoTagger

VideoTagger institution(s)
Department of Computer Science, University College London, London, UK; Caltech, Pasadena, CA, USA; Institute of Healthy Ageing and Department of Genetics, Evolution and Environment, University College London, London, UK
VideoTagger funding source(s)
Supported by MDWP - the Australian Research Council (FT150100237), the Royal Society (UF100158 and RG110303), and the Biotechnology and Biological Sciences Research Council, UK (BB/I011544/1); GB and OMA - EPSRC EP/K015664/1.

VideoTagger reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review VideoTagger