Computer Vision & Deep Learning with OpenCV and Python: Build 15 Projects

Computer Vision & Deep Learning with OpenCV and Python: Build 15 Projects

12 Hours
You save 73%
Computer Vision and Deep Learning with OpenCV and Python - Build 15 Projects

81 Lessons (12h)

  • Course Overview - Rendered
  • Introduction to Python (Prerequisite)
  • Analyze Images with OpenCV
  • Restore Images with Computational Photography
  • Detect objects in images
  • Machine learning and neural networks introduction
  • Read text in an image with OCR and Tesseract
  • Build your first neural network with OpenCV
  • Object detection with OpenCV Deep Learning
  • Outline objects in a video
  • Detect faces in video
  • Track a color in videos
  • Detect lanes for autonomous vehicle computer vision
  • Build a motion alert video monitoring system
  • Detect emotion in a video
  • Swap faces with machine learning
DescriptionInstructorImportant DetailsRelated Products

Build Real-Time Computer Vision Applications with 12 Hours of Content Python OpenCV & Deep Learning

Mammoth InteractiveMammoth Interactive
4.2/5 Instructor Rating: ★ ★ ★ ★
Mammoth Interactive produces XBOX 360, iPhone, iPad, Android, HTML 5, ad-games, and more. It's owned by top-rated instructor John Bura. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design, and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to number 1 in Apple's app store. In his spare time, John likes to play ultimate Frisbee, cycle, and work out.


This course focuses on hands-on Computer Vision with OpenCV from scratch to real-time project development. Computer Vision is the hottest field in the era of Artificial Intelligence. It is making enormous advances in Self-driving cars, Robotics, Medical as well as in various image correction apps. And OpenCV-Python is an appropriate tool for fast prototyping of Computer Vision problems. This course is perfect for anyone who wants to upgrade in Computer Vision and Deep Learning and be able to develop real-time computer vision applications.

4.5/5 average rating: ★ ★ ★ ★

  • Access 81 lectures & 12 hours of content 24/7
  • Refresh your knowledge on Python
  • Analyze images with OpenCV
  • Restore images with computation photography
  • Detect objects in images
  • Understand machine learning & neural networks
  • Read text in an image with OCR & Tesseract
  • Build your first neural network with OpenCV


Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner
  • Have questions on how digital purchases work? Learn more here


  • Any device with basic specifications


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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