Feb 2017
13 Mon
14 Tue
15 Wed
16 Thu 09:00 AM – 06:00 PM IST
17 Fri 09:00 AM – 06:00 PM IST
18 Sat
19 Sun
Shreyans Sheth
Ever wondered how Snapchat builds those cool filters and detects your face correctly everytime? How apps like Retrica can enhance images so well?
I’ll be showing you how we can leverage the power of OpenCV and perform such image processing operations in Python. Soon, you’ll be able to manipulate, enhance, detect, break and make images in just a few lines of code. You’ll be photoshopping images the hacker’s way, through code!
With concepts like AI, Neural Networks and Machine learning coming to the forefront everyday, becoming familiar with Image Processing concepts has become imperative and central to understanding these better.
Through this session, I’ll be showing you how you can implement fundamental operations like Binarization, Contrast Enhancement, Thresholding and a few advanced concepts like Hough Line Transforms and Inpainting, in just a few lines of code which allow us to do wonders. Detecting faces, tilted edges and objects in pictures couldn’t get more simpler!
All the code i’ll be showing you shall be implemented in a realtime project we’ll be building together side by side, where we’ll be removing Captions off Snapchat Images.
In the end, we’ll be mashing some Deep Learning using scikit-learn and OpenCV to build your own Optical Character Recognition software.
Linux System with Python 2.7, OpenCV and Scikit-Learn installed (Easy Tutorial)
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