pyFastcamTools

Welcome to the Stan's pyFastcamTools.
Here are some basic info about how to use the tools to read the fast-camera data.

These tools are used to read and analyse fast-camera data from MAST. These are loosely based on Nick Walkden tools from: https://github.com/nick-walkden/pyFastcamTools

This repository is meant to clean up those tools, develop a user-friendly wiki documentation, and make it ready for insertion into the ukaea github space.
The camera movies can be found in /projects/SOL/Data/Cameras/ at CCFE for authorized personel.

Python packages

Before running, you'll need to make sure you have a few packages installed, particularly open-cv, the main reading package.
On Ubuntu, these can be installed with

sudo apt-get install python3-opencv python3-matplotlib

but of course you can do that with pip.

Playing a movie

This will simply play a movie on your screen.
In this case, we play a movie stored in the file 29786/C001H001S0001/C001H001S0001-04.mraw

python3
>>> from pyFastcamTools.utilities.play_movie import play_movie
>>> play_movie('29786/C001H001S0001/C001H001S0001-04.mraw')

Reading a movie

This will read the entire movie frames, which you can then process.

python3
>>> from pyFastcamTools.utilities.read_movie import read_movie
>>> read_movie('29786/C001H001S0001/C001H001S0001-04.mraw')

Saving a movie

You can also use that command to save frames into .png or .jpg files.
In that example, we only save the frames 4100->4200 into the folder movie_frames

python3
>>> from pyFastcamTools.utilities.read_movie import read_movie
>>> read_movie('29786/C001H001S0001/C001H001S0001-04.mraw',save_frames=True,frames_directory='movie_frames',startframe=4100,endframe=4200)

Subtracting background

A useful tool subtracts the background average of the image to visualise the filaments at the plasma edge.
Sorry, still need to import this from Nick's space...