Hi Gabriel,
Here's some snippets of how I ended up reading in an 8bit greyscale
raw
movie:
# open the movie file for reading in binary format
f = file(fname, 'rb')
# read the whole file in using numarray
m.data = numarray.fromfile(f, numarray.UInt8, (nframes,height,width))
# flip the movie frames vertically for OpenGL's bottom left origin
m.data = m.data[::,::-1,::]
# Create an instance of the texture stim class
texturestim = TextureStimulus(position = orig,
anchor = 'center',
mask = maskObject,
max_alpha = 1.0,
mipmaps_enabled = 0,
texture_min_filter = gl.GL_NEAREST,
texture_mag_filter = gl.GL_NEAREST,
on = 0) # leave it off for now
tp = texturestim.parameters
to = tp.texture.get_texture_object()
# Init OpenGL graphics screen
screen = get_default_screen()
# Create a Viewport instance
viewport = Viewport(screen=screen, stimuli=[texturestim])
# make a new texture that's sized according to the frame size of
movie m
tp.texture = Texture(m.data[0] , :: , :: ] ) # init texture to 1st
frame
tp.size = (m.regionwidth, m.regionheight) # size it, in screen pixels
tp.on = 1; texturestim.draw() # draw it to the frame buffer
# here's the movie loop
for framei in range(0,nframes):
# load the frame you want into the texture object
to.put_sub_image(m.data[ framei , :: , :: ] )
screen.clear()
viewport.draw()
swap_buffers()
About a year ago, Andrew made a change in the TextureStimulus() class
that lets you make a texture object out of a numarray. Previously,
that
wasn't allowed, and I had to use a Numeric array instead - which is
really slow at loading in big raw movie files. See:
//www.freelists.org/archives/visionegg/09-2004/msg00007.html
Loading the file as a numarray and updating the texture in the movie
loop in pure Python ended up being as fast as (or maybe faster than?)
doing it with a C extension. If you want some more context for the
above
snippets, download the whole module:
http://www.ece.ualberta.ca/~mspacek/Dimstim_2005-06-08.zip
and take a look at the Movies.py file in the Dimstim folder. It's
invoked by the movies.py file in the Experiments folder.
Cheers,
Martin Spacek
PhD student, Graduate Program in Neuroscience
Dept. of Ophthalmology and Visual Sciences
University of British Columbia, Vancouver, BC, Canada
+1-604-875-4555 ext. 66282
visionegg@xxxxxxxxxxxxx | http://swindale.ecc.ubc.ca
Gabriel Nevarez wrote:
Hi, Martin,
I noticed in a post you sent last year about loading raw movies into
visionegg, was wondering if you had any recommendations on the best
way to
create them.
I'm running into a situation where python's simply too slow to
create trials
on the fly, so I need to play them back as movies.
Right now, I'm importing TIFF files individually into the playback
numarray,
but I guess loadup times would be much quicker if they were in a
single raw
movie.
Btw, have you found a better way to play back movies in visionegg? I
noticed you mentioned having created a c extension, does it tend to
work
quicker?
Cheers,
-=Gabriel Nevarez
Research Programmer
Psychology Department
Cardiff University
http://www.cf.ac.uk/psych
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