资源说明:
Random Python tools. ==================== kml.py ------ Provides a fuinction which extracts Track information from KML files. Hasn't been tested on a variety of KML files. Requirements: * [lxml](http://lxml.de/) dtw.py ------ A Python implementation of the multi-dimensional DTW algorithm with Manhattan distance. It's very slow. Commented is a 1D DTW reference for the mlpy implementation, which is faster, but does not work on coordinates. Usage: * ``python dtw.py`` Grabs the KML files from ``tracks/`` and displays the distance matrix for each pair of tracks. Optional requirements: * [mlpy](http://mlpy.sourceforge.net/) pdfannot.py ----------- Extracts basic annotation information from a PDF file. Uses the python poppler wrapper. Highly extendable :). Requirements: * [poppler-python](https://launchpad.net/poppler-python) (0.12+, ) Usage: ``python pdfannot.py ABSOLUTE_PATH``
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