deletions | additions       diff --git a/Methodology Processing.tex b/Methodology Processing.tex  deleted file mode 100644  index 878787b..0000000  --- a/Methodology Processing.tex  +++ /dev/null 
...
\subsection{Processing}  Real-time analysis is not an explicit goal of this technology as its intended use is primarily for research. However, performance is a serious consideration if, for no other reason than to ensure that processing remains affordable and does not fall behind data collection. In any case, some calculations may require pre-processing of as much data as possible, particularly machine learning tasks such as is used in motion prediction (see section \ref{motion-prediction}).  In the current iteration of the software, and with today's multi-core possessors, tasks are highly parallelisable. Feature tracking and trajectory analysis can be performed on multiple video sequences at a time, typically cut up into 20 minute or 1 hour segments, in parallel on a single mid-to-high-performance machine, or on a computer cluster. With parallel processing of video sequences on a single computer, memory becomes the main bottleneck; 32 GB or more of memory is highly recommended on a multi-core machine to take full advantage of up to 8 threads. Alternatively, the large majority of calculation tasks can be parallelised at the observation level as they are independent events.  Feature tracking is written in C++ for performance, while the majority of trajectory analysis is written in Python for ease of development and extensibility. Where possible, expensive trajectory analysis calculations make use of Python wrappers for fast compiled libraries.  diff --git a/layout.md b/layout.md  index 711f568..61b3ab9 100644  --- a/layout.md  +++ b/layout.md 
...
figures/conf/conf.png  Methodology Complementary Data.tex  figures/Vehicle Trajectories/network.png  Methodology Processing.tex  Methodolofy Measurement Definitions.tex  figures/dimensional analysis/dimensional analysis.png  figures/relation_timeseries/relation_timeseries.png