This is an extension of a demo at 14th Cellular Nanoscale Networks and Applications (CNNA) Conference 2014. I have written a blog post, available at Image Processing in CNN with Python on Raspberry Pi ...

Recently, the growing demand for data-centric applications has significantly accelerated progress to overcome the “memory wall” caused by the separation of image sensing, memory, and computing units.

In-memory processing hardware exists, but software is lacking Researchers created PyPIM to enable in-memory computation Python commands translated into memory-executable instructions ...

This repository contains the reference code for computing SAM (Saliency Attentive Model) saliency maps based on the following paper: Marcella Cornia, Lorenzo Baraldi, Giuseppe Serra, Rita Cucchiara ...

Teaching Image Processing in Engineering Using Python This paper describes the experience during the execution of a project that applied the project-based learning (PBL) methodology for teaching an ...

The Python programming language provides a development environment suitable to both computational and visualization tasks. One of Python's key advantages is that it lets developers use packages that ...