lebrav Goto Github PK

claw-rover-k3

Project of a programmed and simulated robot that drives autonomously and collects garbage.

cloudsegmentation

code-optimization

This repository contains 4 different c scripts, and the code optimization I've developed to obtain the minimum execution time possible with the same output, obtaining speedup's around 40x.

flash-reflection-image-treatment

In this small code, I erase the reflection caused by the flash of my smartphone by grouping 4 images of the same object taken at different angles. I accomplish this by correlating all the images, making a DLT (Direct Linear Transformation) and calculating the median of this different image.

frogninja-unity-2d-game

Development of a 2D Unity Game.

image-classification-pipeline

The Image Classification pipeline is designed to perform image classification using Convolutional Neural Network (CNN) models in Keras. It has three functionalities: inference, training, and knowledge distillation.

onetapfashionista

opencv-and-cnn-sudoku-solver

In this project, given an input of a Sudoku image, we process the image to obtain the Sudoku and its numbers. We then Solve it using Backtracking, and overlay the solution in the input image. The main work of this project is different techniques used in the processing of the input image, and the creation of a very good CNN model predictor.

paddydisease_classification

rgbcorrelation

In this project, Given 1 large image representing a glass plate using a red, a green, and a blue filter, divide into 3 different images, and correlate this images to obtain a colour image.

salesmanproblem

In this repository I'll post the different Graph Algorithms I've developed to solve the famous Sales Man Problem in the fastest way possible.

tictactoe-pygame

This project is the famous Tic Tac Toe (3 in a row) game, using the library PyGame and Artificial Inteligence (MiniMax and heuristics))

tweetclassification

This project classifies if a Tweet is positive or negative using Naïve Bayes.

vehicledetection

The objective of this project is to obtain a binarized video detecting cars passing by a road. To do so, I've worked with 150 frames captured in a road, and with basic image treatment, like background subtraction with median operations, and different thresholds to binarize image. I've also improved the binarized result frames by doing binary morphology.

web-development

The following Code is a Web which consist in the front-end of a virtual Shop. We also implemented the Database which implements the basic back-end of a virtual shop. The development of this Web contains the following technologies: HTML5, CSS, Javascript (jQuery and JSON), PHP with SQL and AJAX, and uses the Model-View-Controller architecture