Learn how to change background efficiently and easily by just using 3-4 lines of code using Python's Pixellib library that uses Deeplab's pre-trained Deep Learning model.

A streamlit based webapp to perform SOTA instance segmentation on images, videos and live webcam feed

deeplabv3+ model trained on pascal voc dataset for Semantic Image Segmentation using PixelLib

Mask R-CNN model trained on coco dataset for Instance Segmentation using PixelLib

This is the area I want to practice for the Deeplarning knowledge Exercise. There are not only the basic activation-function understanding but also a lot of application(Instance Segmentation,emotion-recognition,background removal)

Objects in real-time video are detected with PixelLib and Mask RCNN

Code snippets to detect faces, car plates on images, video, webcam.

Instant Background Change:

Object Segmentation using OpenCV and PixelLib packages