Last Updated:

Best OpenCV Courses & Tutorials 2019


Deep Learning and Computer Vision A-Z: OpenCV, SSD & GANs

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs by Hadelin de Ponteves and Kirill Eremenko will help you learn and master OpenCV. You will build a toolbox of the most powerful Computer Vision models. This OpenCV course will help you understand the theory behind Computer Vision. You will learn object detection and learn facial recognition. This OpenCV tutorial will help you create powerful Computer Vision applications.


Master Computer Vision OpenCV4 in Python with Deep Learning

Master Computer Vision™ OpenCV4 in Python with Deep Learning will help you learn OpenCV4 in Python. This course will help you learn the key concepts of Computer Vision & OpenCV. You will learn how to do Multi Object Detection in OpenCV (up to 90 Objects) using SSDs (Single Shot Detector). This OpenCV training will help you perform Neural Style Transfer using OpenCV. You will learn to carry out image manipulations such as transformations, cropping, blurring, thresholding, edge detection and cropping. This OpenCV tutorial will teach you to segment images by understanding contours, circle, and line detection. You will learn how to approximate contours, do contour filtering, contour ordering and approximations. Feature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection is taught. You will learn how to extract facial landmarks for face analysis, applying filters and face swaps. This OpenCV course will teach you Machine Learning in Computer Vision for handwritten digit recognition. You will learn to implement Facial Recognition, Motion Analysis and Object Tracking. Basic computational photography techniques for Photo Restoration (eliminate marks, lines, creases, and smudges from old damaged photos) are taught. You will master Computer Vision with Deep learning, using Keras. This is one of the best OpenCV tutorials in 2019.


OpenCV Complete Dummies Guide to Computer Vision with Python

OpenCV Complete Dummies Guide to Computer Vision with Python by Abhilash Nelson will help you learn all OpenCV Image Processing features with examples. You will learn to implement Face Detection, Face Recognition and Optical Character Recognition. This course starts off with installing OpenCV, Virtual Box with Ubuntu and Sublime Text Editor. You will learn to draw shapes including lines, rectangles, simple, concentric circles and random circles. This OpencCV online training covers Image Masking, Image Transformation (Translation, Rotation, Resizing, Flipping, Cropping), Image Gradient Detection, Image Blurring, Image Threshold, Histograms and more! This is one of the best OpenCV courses in 2019.


Best OpenCV Books 2019

SaleBestseller No. 1
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
  • O\'Reilly Media
  • Adrian Kaehler, Gary Bradski
  • Publisher: O'Reilly Media
  • Edition no. 1 (01/08/2017)
  • Paperback: 1024 pages
Bestseller No. 2
Machine Learning for OpenCV: Intelligent image processing with Python
  • Michael Beyeler
  • Publisher: Packt Publishing
  • Paperback: 382 pages
Bestseller No. 3
Bestseller No. 4
Open Source Computer Vision for Beginners: Learn OpenCV using C++ in fastest possible way
  • Nuruzzaman Faruqui
  • Publisher: Independently published
  • Paperback: 181 pages
Bestseller No. 5
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications
  • Alexey Spizhevoy, Aleksandr Rybnikov
  • Publisher: Packt Publishing - ebooks Account
  • Paperback: 385 pages
SaleBestseller No. 6
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • O Reilly Media
  • Aurélien Géron
  • Publisher: O'Reilly Media
  • Edition no. 1 (04/09/2017)
  • Paperback: 574 pages
SaleBestseller No. 7
Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV
  • Jeff Cicolani
  • Publisher: Apress
  • Edition no. 1 (04/24/2018)
  • Paperback: 384 pages
Bestseller No. 8
OpenCV with Python Blueprints
  • Michael Beyeler
  • Publisher: Packt Publishing - ebooks Account
  • Paperback: 230 pages
SaleBestseller No. 9
Learning OpenCV: Computer Vision with the OpenCV Library
  • ISBN13: 9780596516130
  • Condition: New
  • Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
  • Gary Bradski, Adrian Kaehler
  • Publisher: O'Reilly Media
Bestseller No. 10
Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
  • David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
  • Publisher: Packt Publishing
  • Paperback: 538 pages

Last update on 2019-09-16 / Affiliate links / Images from Amazon Product Advertising API is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to and affiliated sites.