Unless you need to batch-process dozens of diagrams, you will probably be
better off using an existing utility. While it's not as good as getting
original data, it's better than guessing all of the numbers by eye.
http://digitizer.sourceforge.net/
http://plotdigitizer.sourceforge.net/
Good luck
Good day everyone,
I would like to have your suggestions about how it could be possible to improve
process speed of my following script. The aim of the script is to scan each
pixel of an image, and to look its validity with its neighborhood. I use a
function that return the values of mask of 9x
I've got PIL 1.1.7, Python 2.6.6, Libtif, libjpg, etc. Mac OS X 10.6.5. I've
got some Tiff files with JPG compression , if I do
import Image
im = Image.open('myfile.tif')
im.info['compression']
'jpeg'
im.show()
I get the proper image but the colors are not remotely correct.
If I first do from
Hello Tomislav
for the part 1-3 you can use PIL, for the part 4, you should also use numpy to
convert your image into a flat list. Sorry, I cant help you for the points 5
and 6.
Keep us in touch with your project
Maxime
> Date: Fri, 26 Nov 2010 11:45:09 +0100
> From: tomislav.ma...@gmx.com
