End-to-End Computer Vision Framework

Computer Vision is a cross research field with the main purpose of understanding the surrounding environment as closely as possible to human perception. In addition to research on techniques and algorithms that enhance the capabilities of a Computer Vision system, research on the architecture and design of such systems is also important. In this paper we present an End-to-End Computer Vision Framework open-source solution, based on Python programming language, that aims to support researchers in this field. The main focus of the framework is the configurability and scalability of the system in the continuous need to add new Computer Vision algorithms or machine learning models for a day-to-day research activity.