Git Product home page Git Product logo

tunex's Introduction

TUNEX

โ‡ฅTo build a deploy-able system that detects our emotions at real time using webcam feed and smartly classifies oneโ€™s playlist into genres, at last playing a song that suits the current emotion and behavior of the person, as specified by the facial analysis.

Image

Timeline

Date Task
11-10 Project Assigned and Groups formed on Communication Channel
12-10 Course-1
18-10 Course-2
24-10 Course-3
4-11 Read Papers
11-11 Finalised the approach and the Emotions to detect
14-11 Selection of Dataset and processing
22-11 Face Detection using Harcascade
29-11 Dataset augmented and finalised
22-12 Model Training

Emotions

  • Afraid ๐Ÿ˜จ
  • Angry ๐Ÿ˜ 
  • Disgust ๐Ÿ˜’
  • Happy ๐Ÿ˜ƒ
  • Neutral ๐Ÿ˜
  • Sad ๐Ÿ˜ญ
  • Suprised ๐Ÿ˜ฎ

Dataset

Google Drive link

Demo

Facebook Post

Courses

Papers

Errors Faced
  1. In HaarCascade to detect face, we have to import a xml file which is already present in OpenCV, but when I was doing
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#The above xml file was not detected
#maybe because it was not stored in bin of OpenCV as I had installed opencv in miniconda environment

To overcome it, I did this

  1. Installing DLib without Pycharm environment: using

    pip install dlib

    give errors because several other packages are required before using this command. To know more refer this

  2. While arranging the files in the KDEF dataset, You may encounter a key error on Images 'AF31V.JPG' and 'AM31H.JPG'. The reason for the same is we have seven emotions that are thoroughly documented these two images or least their names do not qualify to our expectations and hence can be removed prior to running this script or this.

  3. Visualizing Data in Terminal

  4. Visualizing Data in Terminal without Lehar

Made with โค๏ธ by DRISHTI-AI/ML Team.

tunex's People

Contributors

anshoo-rajput avatar arjunparmar avatar dpansu20 avatar grayflash avatar hp77-creator avatar manavkhorasiya avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.