Python and OpenCV for Computer Vision Quick Starter

Python and OpenCV for Computer Vision   Quick Starter


Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.81 GB | Duration: 6h 40m
Learn Python coding language and OpenCV algorithms to build your own Computer Vision and Deep Learning Solutions

What you’ll learn
Learn Python for practical usage to build your solutions and become expert
Understand Python with Data Types, Operators, Loops, Functions, Modules, File Handling along with best coding practices
Work with Advanced Python concepts – Lambda, Object Oriented Programming, Decorator and Generator
Learn to use Built-in Libraries of Python – DateTime, Math, Random, Statistics, Sys, OS
Build expertise on Numpy, Pandas, Matplotlib and OpenPyXL
Understand the basics of OpenCV to work on images and videos
Use OpenCV to apply Simple Thresholding, Adaptive Thresholding and Otsu’s Binarization
Work with Noise Removal techniques including Morphological Operations, Small Dots and Noise, Image Blurring, Dilation and Erosion
Become proficient in Image Cropping & Rotation, Image Annotation and Image Detection
Learn how to use OpenCV for LIVE webcam and recorded video
Build Python Solutions for Web Scraping, Sending Email using Flask App and Text Extraction from PDF Document
Build OpenCV Solutions for Template Matching and Tracking Object by Marking in LIVE Camera

Description
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.

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.

Here are just few of the topics we will be learning:

· Python and OpenCV Setup

· Python Data Types & Operators

· Python Loops – For, While, If-Else

· Python – Functions, Modules & File Handling

· Popular Coding Practices and Exception Handling

· Advanced Functions – Lambda, Map, Filter, Reuse

· Object Oriented Programming, Decorator and Generator

· Built-in Modules – DateTime, Math, Random, Statistics, Sys, OS

· External Libraries – Numpy, Pandas, Matplotlib, OpenPyXL

· Image Thresholding – Simple, Adaptive and Otsu’s Binarization

· Noise Removal Techniques – Morphological Operations, Small Dots and Noise, Image Blurring, Dilation, Erosion and Kernels for Image Processing

· Image Cropping & Rotation

· Image Annotation – Draw text, rectangle, circle and line on image

· Image Detection – Blob, Edge and Contour Detection

· OpenCV – Reading from a Recorded Video

· OpenCV – Reading and Writing from LIVE camera

· Python Web Scraping using BeautifulSoup and RegEx Solution

· Sending Email with Python (Flask) Solution

· Extract text from PDF using Python Solution

· Template matching using OpenCV Solution

· Track Object by Marking in Live Camera using OpenCV Solution

Enroll in this course and become a Computer Vision expert !!

Who this course is for:
Beginner Python Developers curious about Computer Vision and Deep Learning
Computer Vision Developer
Machine Learning Engineer
Anyone who wants to learn Python and OpenCV to enhance their career prospects
Anyone looking to become more employable as a Computer Vision Expert

Screenshots

Homepage
https://www.udemy.com/course/python-and-opencv-for-computer-vision-quick-starter/

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