Learn Python & OpenCV for Computer Vision Deep Learning, OCR
Price: 124.99$
This course is designed keeping in mind that for becoming Computer Vision and Deep Learning Expert we must be comfortable in developing solutions for Images and Text and for that, understanding of Python and Open CV is a must. In the course, we are starting with basics of Python and Open CV and then slowly taking them to Advanced Level covering all topics that are must for developing Computer Vision and Deep Learning based solutions. This course stands apart in its league of courses as it has: Coverage of both Python and Open CV so you don’t need to buy 2 different courses for them35+ supporting notebooks available for download that contain examples for practice5 different varieties of Projects that you will develop at the end of the course to get comfortable with designing technical solutions Tutorial on setting up Py Charm and doing installation of packages Tutorial on how to use Google Colab for running solutions on GPURegular Assessments through the course with Quiz that helps you to assess your knowledge and identify the improvement areas Here are just few of the topics we will be learning: Python Basics – Data Types, Operators, Loops, Functions Modules and File Handling Python Advanced Functions – Lambda, Map, Filter, Reuse Object Oriented Programming, Decorator, Generator Built-in Modules – Date Time, Math, Random, Statistics, Sys, OSExternal Libraries – Numpy, Pandas, Matplotlib, Open Py XLOpen CV Basics – Image Thresholding Image Thresholding (Simple, Adaptive, Otsu’s Binarization)Image Noise Removal (Small Dots, Image Blurring, Dilation, Erosion and Kernels)Image Cropping & Rotation Techniques Image Annotation Image Detection Techniques (Blob, Edge, Contour)Open CV for Videos Open CV for OCRPython Web Scraping using Beautiful Soup and Reg Ex Solution Sending Email with Python (Flask) Solution Extract text from PDF using Python Solution Template matching using Open CV Solution Track Object by Marking in Live Camera using Open CV Solution
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