Michele Antonazzi (micheleantonazzi)

micheleantonazzi

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Michele Antonazzi's repositories

ros_cuda_door_recognizer

This is a ROS package, written in CUDA C, that's able to recognize doors using Canny and Harris filters.

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ros_streaming_cam

This is a ROS package to stream a camera video through RTSP

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generic-dataset

This is a configurable framework that generates automatically the code and the necessary classes to manage a dataset of any kind.

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gibson-env-utilities

This Python library offers a series of utilities for using GibsonEnv

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GibsonEnv

Gibson Environments: Real-World Perception for Embodied Agents

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robot_controller_react

This application, developed using react native, is able to control a robot which runs ROS

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master-thesis-robust-door-detector

This repository contains my master's thesis. The goal is to collect a large dataset representing doors and build a detector to recognize them.

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android-robot-controller

This is an Android application to control a robot using ROS

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bioinformatics-project

Analyze the active regulatory region of DNA using FFNN and CNN

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detr

End-to-End Object Detection with Transformers

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intelligent-systems

This report contains 10 summarized papers. The main topic is deep learning applied to robotics

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manylinux-extended

This repository contains docker manylinux images with pre-installed software. This makes the build procedure faster by reducing the system configuration phase

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mongodb_store

MongoDB tools for storing and analysing runs of ROS systems.

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react-native-dropdown-autocomplete

Autocomplete input with dropdown modal component for React native. Useful for pages with multiple autocomplete's.

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react-native-game-pad

A React Native game pad using nipplejs for an on-screen joystick;

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react-native-sensors

A developer friendly approach for sensors in React Native

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review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

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statistical-method-for-machine-learning

This project uses deep learning models to classify images

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