My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.
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Updated
May 10, 2017 - Jupyter Notebook
My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.
Library for creating HoGs for use with machine learning etc.
Udacity CarND - Vehicle Detection and Tracking
Vehicle Detection and Tracking pipeline with OpenCV, HOG and SVM.
This is an AI program that cashes the one who trashes. Basically giving them a fine.
Unofficial repository of CMPS446 Image Processing and Computer Vision at faculty of Engineering Cairo University.
Logic Lens is an application that allows you to get the truth table of a logical expression, or the corresponding logical expression of a given truth table, only by taking a picture of it!
Detect your face from IP Cam/CCTV
Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.
Project 5 of Udacity Self Driving Car Nanodegree
Train a classification model to identify the product category, utilizing either classical computer vision or deep learning methods. Utilize a one/few-shot learning model to confirm the existence of a product and accurately classify its type.
Morse code to text converter by detecting eye blink on the basis of EAR threshold using RANDOMFORESTCLASSIFIER model and HOG+SVM model
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