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
Coursera
Intermediate
eLearning
English
1h
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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Beginner
eLearning
English
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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Intermediate
eLearning
English
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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Intermediate
eLearning
English
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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Beginner
eLearning
English
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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Intermediate
eLearning
English
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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Intermediate
eLearning
English
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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Beginner
eLearning
English
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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Intermediate
eLearning
English
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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Intermediate
eLearning
English
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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Intermediate
eLearning
English
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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Intermediate
eLearning
English
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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