Wayne Watson wrote:
I didn't know I could post, attach I guess, here. I'll do that later.
as long as it's a small file -- it can be much easier to help
There is one puzzling format difficulty I have with the file that
requires some attention. I hope to have that cleared up in the next hour
or two. Actually, there's a twist in the format that should be
mentioned. The first image (frame) is 640x480, and I'm pretty sure one
byte per pixel. However, every other image (frame) after that is 128
pixels square. An auxiliary text file provides where, x and y pixel
position, the small image should be pasted to form a complete image with
the 640x480 frame.
Maybe it's because I"m more familiar with numpy than PIL, but this is
how I'd do that (untested, of course...):
import numpy as np
infile = file('filename')
img = np.fromfile(infile, count=640*480, dtype=np.uint8)
for i in range(num_images):
do_something
small_image = np.fromfile(infile, count=128*128, dtype=np.uint8)
img[x:x+128, y:y+128] = small_image
....
NOTE: np.histogram2d might do what you want for the histogram
I'm sure you can do somethign similar directly with PIL.
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/OR&R (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
chris.bar...@noaa.gov
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