Xristos Xristoou <saxr...@gmail.com> writes: > I have three functions in the python that each one puts an image (image path) > as input and makes a simple image processing and creates a new image (image > path) as output.
In order to make effective use of multiprocessing, you need to split your complete task into (mostly) independent subtasks and let them be processed by subprocesses. For this to be effective, the subtasks must need significant processing. If dependencies remain, the processes must communicate which makes things more complicated and less efficient. I agree with Stefan Ram: if you have essentially a single image which gets processed in order by different alorithms, then you have a sequential process which can not profit from multiprocessing. However, if you have a set of input images, then you can process each image in a separate process -- and potentially gain significantly in speed. -- https://mail.python.org/mailman/listinfo/python-list
