#Hog-features
Showing 6 of 6 repositories tagged #hog-features, ranked by stars
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
Computer Vision and Image Recognition algorithms for R users
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.
Face detection implementation with different methods and applications