add README

README.md

-# Itten
+Itten
+=====
 
 Itten is a python library to analyse and visualize color dynamics within moving
 image files or frames that were extracted from moving image files.
+
+ToDo
+====
+
+[] `MultivariatePlot` muss noch auf die selbe Simplizität wie `UnivariatePlot`
+   umgestellt werden
+[] Bisher funktioniert nur der LightDark Contrast, andere Kontraste
+   implementieren

Session.vim

-let SessionLoad = 1
-let s:so_save = &so | let s:siso_save = &siso | set so=0 siso=0
-let v:this_session=expand("<sfile>:p")
-silent only
-cd ~/Research/Projects/Cinemetrics/Itten
-if expand('%') == '' && !&modified && line('$') <= 1 && getline(1) == ''
-  let s:wipebuf = bufnr('%')
-endif
-set shortmess=aoO
-badd +60 testing/ittennb.py
-badd +17 itten/movie.py
-badd +25 itten/contrasts.py
-badd +16 itten/helpers.py
-badd +1023 term://.//20282:/usr/bin/zsh\ ;\#neoterm-1
-argglobal
-silent! argdel *
-edit testing/ittennb.py
-set splitbelow splitright
-wincmd t
-set winheight=1 winwidth=1
-argglobal
-setlocal fdm=manual
-setlocal fde=0
-setlocal fmr={{{,}}}
-setlocal fdi=#
-setlocal fdl=0
-setlocal fml=1
-setlocal fdn=20
-setlocal fen
-silent! normal! zE
-let s:l = 1 - ((0 * winheight(0) + 34) / 68)
-if s:l < 1 | let s:l = 1 | endif
-exe s:l
-normal! zt
-1
-normal! 0
-tabnext 1
-if exists('s:wipebuf') && getbufvar(s:wipebuf, '&buftype') isnot# 'terminal'
-  silent exe 'bwipe ' . s:wipebuf
-endif
-unlet! s:wipebuf
-set winheight=1 winwidth=20 shortmess=filnxtToO
-let s:sx = expand("<sfile>:p:r")."x.vim"
-if file_readable(s:sx)
-  exe "source " . fnameescape(s:sx)
-endif
-let &so = s:so_save | let &siso = s:siso_save
-let g:this_session = v:this_session
-let g:this_obsession = v:this_session
-let g:this_obsession_status = 2
-doautoall SessionLoadPost
-unlet SessionLoad
-" vim: set ft=vim :

testing/bootstrap.py

@@ -2,12 +2,12 @@ from itten.movie import Movie
 from itten.views import UnivariateSequence
 from itten.visuals import UnivariatePlot
 
-movie = Movie(prefix='rec_', folder='../DHd-2017/Data/Frames/Rec/')
+movie = Movie(prefix='rec_', folder='../DHd-2017/Data/Frames/Rec/', end=1100)
 cont = UnivariateSequence(movie._frames)
-cont.seqmean(frm_stp=100) 
+cont.seqmean(frm_stp=2)
 viz = UnivariatePlot(cont)
 viz.plot(cont)
-cont.seqmad(frm_stp=100)
+cont.seqmad(frm_stp=2)
 viz.plot(cont)
 viz.saveplt()