I wish to draw an image based on computed pixel values, as a means to visualize some data. Essentially, I wish to take a 2-dimensional matrix of color triplets and render it.
Do note that this is not image processing, since I'm not transforming an existing image nor doing any sort of whole-image transformations, and it's also not vector graphics as there is no pre-determined structure to the image I'm rendering- I'm probably going to be producing amorphous blobs of color one pixel at a time.
I need to render images about 1kx1k pixels for now, but something scalable would be useful. Final target format is PNG or any other lossless format.
I've been using PIL at the moment via ImageDraw's draw.point , and I was wondering, given the very specific and relatively basic features I require, is there any faster library available?
If you have numpy and scipy available (and if you are manipulating large arrays in Python, I would recommend them), then the scipy.misc.pilutil.toimage function is very handy. A simple example:
import numpy as np import scipy.misc as smp # Create a 1024x1024x3 array of 8 bit unsigned integers data = np.zeros( (1024,1024,3), dtype=np.uint8 ) data[512,512] = [254,0,0] # Makes the middle pixel red data[512,513] = [0,0,255] # Makes the next pixel blue img = smp.toimage( data ) # Create a PIL image img.show() # View in default viewer
The nice thing is toimage copes with diferent data types very well, so a 2d array of floating point numbers gets sensibly converted to greyscale etc.
You can download numpy and scipy from http://docs.scipy.org/doc/scipy/reference/misc.html.