elis aeris wrote: > Yes, I am trying to write a OCR algorithm with neural network, but the > theories of NN is of little importance, what I am trying to get ready > for the project is run speed. Yes, but what you're trying to do _is_ important. Example code that just loops over a small part of an image doesn't give us indication of what you're trying to do. For example - consider your image is 1024x768 but you only want to process 100x100 block of it. Then a good solution might be to use the image.crop method to reduce the image to only the part you care about, and then doing a getdata() on it, versus doing getpixel for every pixel in the 100x100 area. > > > the problem comes in a number of ways: > > > first, as you mentioned, image.getpixel is not very fast, > according to PIL > http://www.pythonware.com/products/pil/ > > so an alternative should be searched for, > > > also, I loop (x,y) > > x = 0 -1023 > y = 0- 768 through > > and currently i use this: > > > > x = 0 > y = 0 > for x in xrange(1, 1024, 1): > for y in xrange(1, 768, 1): > rgb = image.getpixel ((10, 12)) These loops don't go 0-1023 and 0-768 they go 1-1023 and 1-767
There is a function called getdata() that you can use to get all of the pixel data of the image at once. -Luke _______________________________________________ Tutor maillist - Tutor@python.org http://mail.python.org/mailman/listinfo/tutor
