If you have pip installed, you should be
able to install the latest stable release of vtem by running the
following:
pip install vtem
All dependencies should be automatically downloaded and installed if they are not already on your system.
The latest stable and development versions of vtem can be downloaded from
GitHub
Online documentation for vtem is available at
http://bionet.github.io/vtem/index.html/
vtem requires that the following software packages be
installed:
- Python 2.7 or later.
- setuptools 0.6c10 or later.
- NumPy 1.6.0 or later.
- CUDA SciKit 0.042 or greater
- PyTables 2.4.0 or greater
- PyCUDA 2011.1 or later
- NVIDIA CUDA Toolkit 4.0 or later.
To support reading and writing video files directly, the package requires
To build the documentation, the following packages are also required:
- Sphinx 1.1.0 or later.
To run the demos in the package as it is, please download the demo files and unarchive it in the demos folder.
To run the demos on other videos, the filename can be provided with the -i switch. All options supported can be viewed by:
python <demo_filename> --help
If you have OpenCV installed, all video files encoded with codecs that have been installed with OpenCV should be supported.
To run without OpenCV support, please load the video into MATLAB and save it using the scripts provided in the matlab_h5 folder of the package.
The software has been developed and tested on Linux; it should also work on other Unix-like platforms supported by the above packages. Parts of the package may work on Windows as well, but remain untested.
To build and install the toolbox, download and unpack the source release and run:
python setup.py install
from within the main directory in the release. To rebuild the documentation, run:
python setup.py build_sphinx
Sample codes for the package are located in the /demos subdirectory.
For a detailed description of the package modules, please refer the
reference section of the package documentation.