Michele Cipriano's Projects
Project report for the module Control Problems in Robotics: Underactuated Robotics (Fall 2018) at Sapienza University of Rome.
Video classification in TensorFlow using Mask R-CNN. This project is built upon https://github.com/matterport/Mask_RCNN. The dataset used to train Mask R-CNN has been built with LabelBox, the video classification has been done with an LSTM that classifies activities taken from a subset of ActivityNet dataset (Gymnastics activities). This repository has been used for the final project of the module Vision and Perception (Spring 2018) at Sapienza University of Rome.