Last Updated:

As an Amazon Associate I earn from qualifying purchases.

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
Beginning Robotics with Raspberry Pi and Arduino: Using Python and OpenCV
  • Cicolani, Jeff (Author)
  • English (Publication Language)
  • 380 Pages - 04/24/2018 (Publication Date) - Apress (Publisher)
SaleBestseller No. 2
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
  • O\'Reilly Media
  • Kaehler, Adrian (Author)
  • English (Publication Language)
  • 1024 Pages - 01/08/2017 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 3
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
  • Howse, Joseph (Author)
  • English (Publication Language)
  • 372 Pages - 02/20/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 4
OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition
  • Millan Escriva, David (Author)
  • English (Publication Language)
  • 494 Pages - 05/03/2019 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 5
Raspberry Pi Computer Vision Programming: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3, 2nd Edition
  • Pajankar, Ashwin (Author)
  • English (Publication Language)
  • 306 Pages - 06/29/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 6
Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
  • Millan Escriva, David (Author)
  • English (Publication Language)
  • 538 Pages - 03/26/2019 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 7
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
  • Villan, Alberto Fernandez (Author)
  • English (Publication Language)
  • 532 Pages - 03/29/2019 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 8
Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
  • Ansari, Shamshad (Author)
  • English (Publication Language)
  • 476 Pages - 09/21/2020 (Publication Date) - Apress (Publisher)
Bestseller No. 9
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications
  • Spizhevoy, Alexey (Author)
  • English (Publication Language)
  • 306 Pages - 03/23/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 10
OpenCV with Python Blueprints
  • Beyeler, Michael (Author)
  • English (Publication Language)
  • 230 Pages - 10/01/2015 (Publication Date) - Packt Publishing (Publisher)