Computer Vision with SimpleCV Training Course
SimpleCV is an open source framework — meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It’s helps you build software to make your various technologies not only see the world, but understand it too.
Audience
This course is directed at engineers and developers seeking to develop computer vision applications with SimpleCV.
Course Outline
Getting Started
- Installation
Tutorials & Examples
- SimpleCV Shell
- SimpleCV Basics
- The Hello World program
- Interacting with the Display
- Loading a Directory of Images
- Macro’s
- Kinect
- Timing
- Detecting a Car
- Segmenting the Image and Morphology
- Image Arithmetic
- Exceptions in Image Math
- Histograms
- Color Space
- Using Hue Peaks
- Creating a Motion Blur Effect
- Simulating Long Exposure
- Chroma Key (Green Screen)
- Drawing on Images in SimpleCV
- Layers
- Marking up the Image
- Text and Fonts
- Making a Custom Display Object
Requirements
Knowlege of the following languages:
- Python
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Testimonials (2)
Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.
Anthea King - WesCEF
Course - Computer Vision with Python
I genuinely enjoyed the hands-on approach.
Kevin De Cuyper
Course - Computer Vision with OpenCV
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