Learn OpenCV from Coursera

Coursera offers you 12 courses, to learn OpenCV now!

Coursera, is an American online learning platform founded in 2012 by Stanford professors Andrew Ng and Daphne Koller that offers massive open online courses (MOOC), specializations, and degrees. Coursera works with universities and other organizations to offer online courses, specializations, and degrees in a variety of subjects, such as engineering, data science, machine learning, mathematics, business, computer science, digital marketing, humanities, medicine, biology, social sciences, and others. - read more on Wikipedia

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  • student Intermediate
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Analyzing Video with OpenCV and NumPy

In this one hour long project-based course^ you will learn the basics of reading^ analyzing and writing video using Python^ NumPy and OpenCV. We will be working with a short documentary film which is in the public domain^ so we …

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  • student Beginner
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  • clock 3h

Computer Vision - Image Basics with OpenCV and Python

In this 1-hour long project-based course^ you will learn how to do Computer Vision on images with OpenCV and Python using Jupyter Notebook. This course runs on Coursera s hands-on project platform called Rhyme. On Rhyme^ you do projects in …

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  • student Intermediate
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  • clock 1h

Computer Vision - Object Detection with OpenCV and Python

In this 1-hour long project-based course^ you will learn how to do Computer Vision Object Detection from Images and Videos. At the end of the project^ you ll have learned how to detect faces^ eyes and a combination of them …

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  • student Intermediate
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  • clock 2h

Computer Vision - Object Tracking with OpenCV and Python

In this 1-hour long project-based course^ you will learn how to do Computer Vision Object Tracking from Videos. At the end of the project^ you ll have learned how Optical and Dense Optical Flow work^ how to use MeanShift and …

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  • student Beginner
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  • clock 16h

Introduction to Computer Vision with Watson and OpenCV

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars^ robotics^ augmented reality^ face detection in law enforcement agencies. In this beginner-friendly course you will understand …

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  • student Intermediate
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  • clock 21h

Python Project: pillow^ tesseract^ and opencv

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow)^ how to apply optical character recognition …

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  • student Intermediate
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  • earth English
  • clock 2h

Real-time OCR and Text Detection with Tensorflow^ OpenCV and Tesseract

In this 1-hour long project-based course^ you will learn how to collect and label images and use them to train a Tensorflow CNN (convolutional neural network) model to recognize relevant areas of (typeface) text in any image^ video frame or …

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  • student Beginner
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  • clock 2h

Video Basics with OpenCV and Python

In this 1-hour long project-based course^ you will learn how to connect to your computer s camera^ open it^ record yourself or something^ save it^ open the video file you have saved^ draw on live video^ interact on live video …

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  • student Intermediate
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  • clock 1h

Computer Vision: Neural Transfer Style & Green Screen Effect

In this 1-hour long project-based course^ you will learn how to do Computer Vision on images and videos with OpenCV and Python using Jupyter Notebook. You will understand how Neural Transfer Style works and you ll use it on images …

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  • student Intermediate
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  • clock 15h

Perform Real-Time Object Detection with YOLOv3

In this 1-hour long project-based course^ you will perform real-time object detection with YOLOv3: a state-of-the-art^ real-time object detection system. Specifically^ you will detect objects with the YOLO system using pre-trained models on a GPU-enabled workstation. To apply YOLO to …

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  • student Intermediate
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  • clock 2h

Facial Expression Recognition with Keras

In this 2-hour long project-based course^ you will build and train a convolutional neural network (CNN) in Keras from scratch to recognize facial expressions. The data consists of 48x48 pixel grayscale images of faces. The objective is to classify each …

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  • student Intermediate
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  • earth English
  • clock 55h

Image Processing with Python

Image processing has been used to create weird and beautiful modifications to pictures many of us have seen online. Older black and white photos can be brought to life using colorization techniques. On the other hand^ color photos can be …

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