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Master Computer Vision™ OpenCV4 in Python with Deep Learning

Master Computer Vision™ OpenCV4 in Python with Deep Learning | Udemy

Master OpenCV4 like a pro while learning Dlib, Deep Learning Computer Vision (Keras, TensorFlow & Caffe) + 21 Projects!

Requirements

  • Little to no programming knowledge is needed, but basic programing knowledge will help
  • Windows 10 or Ubuntu or a MacOS system
  • A webcam to implement some of the mini projects

Description

Welcome to one of the most thorough and well-taught courses on OpenCV, where you’ll learn how to Master Computer Vision using the newest version of OpenCV4 in Python!

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NOTE: Many of the earlier poor reviews was during a period of time when the course material was outdated and many of the example code was broken, however this has been fixed as of early 2019 🙂

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Computer Vision is an area of Artificial Intelligence that deals with how computer algorithms can decipher what they see in images! Master this incredible skill and be able to complete your University/College Projects, automate something at work, start developing your startup idea or gain the skills to become a high paying ($400-$1000 USD/Day) Computer Vision Engineer.

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  1. Live Drawing Sketch using your webcam
  2. Identifying Shapes
  3. Counting Circles and Ellipses
  4. Finding Waldo
  5. Single Object Detectors using OpenCV
  6. Car and Pedestrian Detector using Cascade Classifiers
  7. Live Face Swapper (like MSQRD & Snapchat filters!!!)
  8. Yawn Detector and Counter
  9. Handwritten Digit Classification
  10. Facial Recognition
  11. Ball Tracking
  12. Photo-Restoration
  13. Automatic Number-Plate Recognition (ALPR)
  14. Neural Style Transfer Mini Project
  15. Multi Object Detection in OpenCV (up to 90 Objects!) using SSD (Single Shot Detector)
  16. Colorize Black & White Photos and Video

Deep Learning Projects Include:

  1. Build a Handwritten Digit Classifier
  2. Build a Multi Image Classifier
  3. Build a Cats vs Dogs Classifier
  4. Understand how to boost CNN performance using Data Augmentation
  5. Extract and Classify Credit Card Numbers

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What previous students have said: 

“I’m amazed at the possibilities. Very educational, learning more than what I ever thought was possible. Now, being able to actually use it in a practical purpose is intriguing… much more to learn & apply”

“Extremely well taught and informative Computer Vision course! I’ve trawled the web looking for Opencv python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects. Loved some of the projects and had lots of fun tinkering them.”

“Awesome instructor and course. The explanations are really easy to understand and the materials are very easy to follow. Definitely a really good introduction to image processing.”

“I am extremely impressed by this course!! I think this is by far the best Computer Vision course on Udemy. I’m a college student who had previously taken a Computer Vision course in undergrad. This 6.5 hour course blows away my college class by miles!!”

“Rajeev did a great job on this course. I had no idea how computer vision worked and now have a good foundation of concepts and knowledge of practical applications. Rajeev is clear and concise which helps make a complicated subject easy to comprehend for anyone wanting to start building applications.”

In this course, you will discover the power of OpenCV in Python, and obtain skills to dramatically increase your career prospects as a Computer Vision developer.

You get 3+ Hours of Deep Learning in Computer Vision using Keras, which includes:

  • A free Virtual Machine with all Deep Learning Python Libraries such as Keras and TensorFlow pre-installed
  • Detailed Explanations on Neural Networks and Convolutional Neural Networks
  • Understand how Keras works and how to use and create image datasets
  • Build a Handwritten Digit Classifier
  • Build a Multi-Image Classifier
  • Build a Cats vs Dogs Classifier
  • Understand how to boost CNN performance using Data Augmentation
  • Extract and Classify Credit Card Numbers

So, are you ready to get started? Enroll now and start the process of becoming a master in Computer Vision today!Who this course is for:

  • Beginners who have an interest in computer vision
  • College students looking to get a head start before starting computer vision research
  • Anyone curious using Deep Learning for Computer Vision
  • Entrepreneurs looking to implement computer vision startup ideas
  • Hobbyists wanting to make a cool computer vision prototype
  • Software Developers and Engineers wanting to develop a computer vision skillset

DISCLAIMER: No Copyright Infringement Intended, All Rights Reserved to the Actual Owner. This content has been shared under Educational Purposes Only. For Copyright Content Removal Please Contact the Administrator or Email at [email protected]

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