Experimentos detección facial con OpenCv y processing

A simple web API to detect whether images passed to it contains faces or not

Udacity Self-Driving Car Engineer Nanodegree Project : Finding Lane Lines on the Road

Tic-Tac-Goe game designed using Python and Open-CV.

Multiple Frameworks

An Open-CV Virtual Reality Experiment

{Python}: Detect and extract the license plate of vehicles using Machine Learning and Image Processing Techniques

Aurora: An iOS application that helps inform blind people of their surroundings with computer vision relayed through text to speech. Made @ Hack the Valley 👁🚶‍♂️

In this project, deep neural networks and convolutional neural networks are used to classify traffic signs. A model is trained so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, the model is tested on new images of traffic signs that are found on the web

Open Source Computer Vision with TensorFlow, MiniFi, Apache NiFi, OpenCV, Apache Tika and Python For processing images from IoT devices like Raspberry Pis, NVidia Jetson TX1, NanoPi Duos and more which are equipped with attached cameras or external USB webcams, we use Python to interface via OpenCV and PiCamera. From there we run image processin…

Self driving car Lane detection

This code segments out the drive-able portion of the road from the surrounding.

Count the total number of legos in an image

Face Detection using open-cv and Face Recognition using Siamese networks using Keras and TensorFlow

Reinforcement learning on Chrome's Dino game

The code for my submission to the first project of Udacity's Self-driving Car Nanodegree Program

Video stabilizer that smoothes camera motion.