Hog-features Libraries

4 Components & Libraries

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Hog-features Libraries

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Using a Convolutional Neural Network (CNN) to recognize facial expressions from images or video/camera stream. The goal is to get a quick baseline to compare if the CNN architecture performs better w…

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.

To run the lane detection script for any video files, update the last few lines of 'lanedetect.py'. The final calibration matrices are saved in the pickle file 'calibrate_camera.p' The following desc…

Computer Vision Essentials in Python Programming Language :tada:

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks t…

Computer Vision Essentials in Python Programming Language :tada:

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