def convert(vin, cf, width, height, depth, bpp, pf):
global seqno
if type(pf) == type(()):
xpf, ypf = pf
elif pf == 0:
xpf = ypf = 1
else:
xpf = ypf = pf
while 1:
try:
time, data, cdata = vin.getnextframe()
except EOFError:
return
if cdata:
print 'Film contains chromdata!'
return
data = cf(data, width / xpf, height / abs(ypf))
if pf:
data = applypackfactor(data, width, height, pf, bpp)
s = ` seqno `
s = '0' * (4 - len(s)) + s
fname = prefix + s + '.rgb'
seqno = seqno + 1
if not quiet:
print 'Writing', fname, '...'
imgfile.write(fname, data, width, height, depth)
def convert(vin, cf, width, height, depth, bpp, pf): global seqno if type(pf) == type(()): xpf, ypf = pf elif pf == 0: xpf = ypf = 1 else: xpf = ypf = pf while 1: try: time, data, cdata = vin.getnextframe() except EOFError: return if cdata: print 'Film contains chromdata!' return data = cf(data, width/xpf, height/abs(ypf)) if pf: data = applypackfactor(data, width, height, pf, bpp) s = `seqno` s = '0'*(4-len(s)) + s fname = prefix + s + '.rgb' seqno = seqno + 1 if not quiet: print 'Writing',fname,'...' imgfile.write(fname, data, width, height, depth)
def testimage(name):
"""Run through the imgfile's battery of possible methods
on the image passed in name.
"""
import sys
import os
outputfile = '/tmp/deleteme'
# try opening the name directly
try:
# This function returns a tuple (x, y, z) where x and y are the size
# of the image in pixels and z is the number of bytes per pixel. Only
# 3 byte RGB pixels and 1 byte greyscale pixels are supported.
sizes = imgfile.getsizes(name)
except imgfile.error:
# get a more qualified path component of the script...
if __name__ == '__main__':
ourname = sys.argv[0]
else: # ...or the full path of the module
ourname = sys.modules[__name__].__file__
parts = ourname.split(os.sep)
parts[-1] = name
name = os.sep.join(parts)
sizes = imgfile.getsizes(name)
if verbose:
print 'Opening test image: %s, sizes: %s' % (name, str(sizes))
# This function reads and decodes the image on the specified file,
# and returns it as a python string. The string has either 1 byte
# greyscale pixels or 4 byte RGBA pixels. The bottom left pixel
# is the first in the string. This format is suitable to pass
# to gl.lrectwrite, for instance.
image = imgfile.read(name)
# This function writes the RGB or greyscale data in data to
# image file file. x and y give the size of the image, z is
# 1 for 1 byte greyscale images or 3 for RGB images (which
# are stored as 4 byte values of which only the lower three
# bytes are used). These are the formats returned by gl.lrectread.
if verbose:
print 'Writing output file'
imgfile.write(outputfile, image, sizes[0], sizes[1], sizes[2])
if verbose:
print 'Opening scaled test image: %s, sizes: %s' % (name, str(sizes))
# This function is identical to read but it returns an image that
# is scaled to the given x and y sizes. If the filter and blur
# parameters are omitted scaling is done by simply dropping
# or duplicating pixels, so the result will be less than perfect,
# especially for computer-generated images. Alternatively,
# you can specify a filter to use to smoothen the image after
# scaling. The filter forms supported are 'impulse', 'box',
# 'triangle', 'quadratic' and 'gaussian'. If a filter is
# specified blur is an optional parameter specifying the
# blurriness of the filter. It defaults to 1.0. readscaled
# makes no attempt to keep the aspect ratio correct, so that
# is the users' responsibility.
if verbose:
print 'Filtering with "impulse"'
simage = imgfile.readscaled(name, sizes[0] / 2, sizes[1] / 2, 'impulse',
2.0)
# This function sets a global flag which defines whether the
# scan lines of the image are read or written from bottom to
# top (flag is zero, compatible with SGI GL) or from top to
# bottom(flag is one, compatible with X). The default is zero.
if verbose:
print 'Switching to X compatibility'
imgfile.ttob(1)
if verbose:
print 'Filtering with "triangle"'
simage = imgfile.readscaled(name, sizes[0] / 2, sizes[1] / 2, 'triangle',
3.0)
if verbose:
print 'Switching back to SGI compatibility'
imgfile.ttob(0)
if verbose: print 'Filtering with "quadratic"'
simage = imgfile.readscaled(name, sizes[0] / 2, sizes[1] / 2, 'quadratic')
if verbose: print 'Filtering with "gaussian"'
simage = imgfile.readscaled(name, sizes[0] / 2, sizes[1] / 2, 'gaussian',
1.0)
if verbose:
print 'Writing output file'
imgfile.write(outputfile, simage, sizes[0] / 2, sizes[1] / 2, sizes[2])
os.unlink(outputfile)
def testimage(name):
"""Run through the imgfile's battery of possible methods
on the image passed in name.
"""
import sys
import os
outputfile = '/tmp/deleteme'
# try opening the name directly
try:
# This function returns a tuple (x, y, z) where x and y are the size
# of the image in pixels and z is the number of bytes per pixel. Only
# 3 byte RGB pixels and 1 byte greyscale pixels are supported.
sizes = imgfile.getsizes(name)
except imgfile.error:
# get a more qualified path component of the script...
if __name__ == '__main__':
ourname = sys.argv[0]
else: # ...or the full path of the module
ourname = sys.modules[__name__].__file__
parts = ourname.split(os.sep)
parts[-1] = name
name = os.sep.join(parts)
sizes = imgfile.getsizes(name)
if verbose:
print 'Opening test image: %s, sizes: %s' % (name, str(sizes))
# This function reads and decodes the image on the specified file,
# and returns it as a python string. The string has either 1 byte
# greyscale pixels or 4 byte RGBA pixels. The bottom left pixel
# is the first in the string. This format is suitable to pass
# to gl.lrectwrite, for instance.
image = imgfile.read(name)
# This function writes the RGB or greyscale data in data to
# image file file. x and y give the size of the image, z is
# 1 for 1 byte greyscale images or 3 for RGB images (which
# are stored as 4 byte values of which only the lower three
# bytes are used). These are the formats returned by gl.lrectread.
if verbose:
print 'Writing output file'
imgfile.write (outputfile, image, sizes[0], sizes[1], sizes[2])
if verbose:
print 'Opening scaled test image: %s, sizes: %s' % (name, str(sizes))
# This function is identical to read but it returns an image that
# is scaled to the given x and y sizes. If the filter and blur
# parameters are omitted scaling is done by simply dropping
# or duplicating pixels, so the result will be less than perfect,
# especially for computer-generated images. Alternatively,
# you can specify a filter to use to smoothen the image after
# scaling. The filter forms supported are 'impulse', 'box',
# 'triangle', 'quadratic' and 'gaussian'. If a filter is
# specified blur is an optional parameter specifying the
# blurriness of the filter. It defaults to 1.0. readscaled
# makes no attempt to keep the aspect ratio correct, so that
# is the users' responsibility.
if verbose:
print 'Filtering with "impulse"'
simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'impulse', 2.0)
# This function sets a global flag which defines whether the
# scan lines of the image are read or written from bottom to
# top (flag is zero, compatible with SGI GL) or from top to
# bottom(flag is one, compatible with X). The default is zero.
if verbose:
print 'Switching to X compatibility'
imgfile.ttob (1)
if verbose:
print 'Filtering with "triangle"'
simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'triangle', 3.0)
if verbose:
print 'Switching back to SGI compatibility'
imgfile.ttob (0)
if verbose: print 'Filtering with "quadratic"'
simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'quadratic')
if verbose: print 'Filtering with "gaussian"'
simage = imgfile.readscaled (name, sizes[0]/2, sizes[1]/2, 'gaussian', 1.0)
if verbose:
print 'Writing output file'
imgfile.write (outputfile, simage, sizes[0]/2, sizes[1]/2, sizes[2])
os.unlink(outputfile)
#! /usr/bin/env python
#! /usr/bin/env python
