Lucas Gago's repositories
Classify-Real-Time-Desktop
Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco
DL_CIMT_and_plaque_estimation
Deep learning techniques for atherosclerotic plaque detection in the carotid artery
Face-Recognition-for-Mobile-Robot
Final proyect for my Robotics and Mechatronics Engineer Degree.
Traffic-Sign-Classifier
Traffic Sign Classifier using Deep Neural Networks and CNN.
Instument-driver-Arduino-Labview
Serial communication between PC and arduino to get data from a sensor attached to a ADC.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Lane-Detection
Lane detection in image feed using Houg Space among other computer vision techniques. Exponential filtering for soft transition. Capable of detecting curved lanes.
Raspberry-Pi-Autonomous-Robot
Autonomous Robot with simple behavior. Analyzes the environment, finds the correct shape, moves towards it and uploads a picture to twitter.
Advanced-Lane-Lines-Detection
Advanced computer vision techniques used to detect line boundaries in a video.
Behavioral-Cloning
End-to-End Deep Learning for Self-Driving Cars
agvs
ROS package for the robot AGVS, intended for indoor transportation tasks
CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Codingame
https://www.codingame.com
Fuzzy-Logic-Controller-Propeller
Fuzzy Logic controller in real time, connected with an Arduino Mega sending data from a IMU attached to an arm with a propeller
GCHQ-Christmas-Challenge
Programming approach for solving the first part of this challenge. More info in https://www.gchq.gov.uk/news-article/christmas-card-cryptographic-twist-charity
keras
Deep Learning for humans
Lidar-Scan-ROS
Data processing from a Lidar, analyzing the map and trying to maximize the number of rooms visited in certain time
Particle-Filter-For-Location
Simulation of a mobile robot locating itself with the aid of beacons and a particle filter. GPS error taken into account.
segmentation_models
Segmentation models with pretrained backbones. Keras.