Emotion😂😥😡😱 Recognition system

Sourcerer

Code Requirements

• Tensorflow Installation code:- pip install tensorflow
• Download my repository
• Own Expression dataset(Note: You can downlaod expression images from google, or you can record your video make diffrent expression ,and converts into Grayscale images(For more accurate prediction))

What steps you have to follow??

• Download my repository
• Make Images folder in your project ,make subfolder for emotions like Happy,sad,Angry.
• Put Face_crop.py & haarcascade_frontalface_alt.xml in every type of image folder,ex : put this program in "happy' image folder and run this program it will detect faces from images and convert it into grayscale and make a new images in same folder.
• After that you have to create model, for that copy code from code.txt file and open CMD in your project folder and paste it & enter
• It will take training aaround 20-25 minutes so keep patience.
• After training it will create two files retrained_graph.pb & retrained_labels.txt
• Now run recognition_webcam.py.
• If you want to fetch video from your mobile cam than use android_recognition.py,but you have to install IPWebcam app in your system and replace your server URL with my URL
• That's all

How it works? See:)

Notes

• It will require high processing power(I have 8 GB RAM & 2 GB GC)
• If you think it will recognise expression just like humans,than leave it ,its not possible.
• Download 300 Images for every expression(you can use batch downloader)
• Noisy image can reduce your accuracy so quality of images matter.

Just follow☝️ me and Star⭐ my repository