Python and OpenCV for Computer Vision – Quick Starter

This is the best course to quickly grasp the knowledge of Python and OpenCV and become proficient to design Computer Vision and Deep Learning Solutions. Start with basics and become proficient with the help of 41 downloadable Jupyter Notebooks containing Python code together with projects covering complete solution for Web Scraping, Sending Emails, Extracting Text from PDF, Template Matching and Tracking Object on LIVE Camera.

With the AI–fueled organization trend getting momentum, the industry is in dire need of Computer Vision experts who are proficient in Python and OpenCV. This course has been designed to start with the basics of Python coding language comprising of Data Types, Operators, Loops, Functions, Modules, File Handling, Exception Handling along with Popular Coding Practices and then slowly take you through the advanced Python concepts such as Lambda, Map, Filter, Object Oriented Programming, Decorator, Generator, DateTime, Math, Random, Statistics, Sys, OS, Numpy, Pandas, Matplotlib and OpenPyXL in detail.

Not only this, the course takes it one step further by providing comprehensive coverage of OpenCV topics including Image Thresholding, Image Noise Removal, Image Cropping & Rotation, Image Annotation, Image Detection and also OpenCV for Videos with 35+ supporting notebooks available for download that contain examples for practice. The quiz at the end of each key topic helps you to assess your knowledge and identify the improvement areas. In addition to this, the 5 LIVE projects towards the end of course are the most sought–after computer vision solutions in industry right now on which you get a detailed code walkthrough along with downloadable source code.