By Kurt Demaagd
Learn tips to construct your personal desktop imaginative and prescient (CV) purposes quick and simply with SimpleCV, an open resource framework written in Python. via examples of real-world functions, this hands-on consultant introduces you to simple CV concepts for accumulating, processing, and reading streaming electronic photographs. You’ll then the best way to practice those equipment with SimpleCV, utilizing pattern Python code. All you must start is a home windows, Mac, or Linux process, and a willingness to place CV to paintings in numerous methods. Programming adventure is optional.
- Capture photos from a number of resources, together with webcams, smartphones, and Kinect
- Filter photograph enter so your program methods basically valuable info
- Manipulate photographs via acting uncomplicated mathematics on pixel values
- Use function detection ideas to target attention-grabbing components of a picture
- Work with numerous positive factors in one photograph, utilizing the NumPy and SciPy Python libraries
- Learn approximately optical move to spot gadgets that modify among photo frames
- Use SimpleCV’s command line and code editor to run examples and attempt concepts
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Additional info for Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See
Once connected, the network camera will work exactly like a local camera. IP Camera Examples The classic real world application for an IP camera is a security camera. A WiFi connected web camera can easily stream a live video feed to a central location for monitoring. These examples are focused on basic image capture. Later chapters of the book will talk about how to detect motion and other ideas for creating a more robust application. The two versions of the security camera application are demonstrated: • Streaming a single live feed • Capturing multiple streams and displaying them in a single panel As with the previous examples, these are best run as Python scripts—and not in the SimpleCV shell.
If the images used in this book are then stored in a folder named SimpleCV located in the home directory, then the paths to the example images used in this chapter would be: SimpleCVC:\Users\your_username\SimpleCV\Chapter 2 on Windows SimpleCV/home/ your_username/SimpleCV/Chapter\ 2 on Linux SimpleCV /Users/your_username/ SimpleCV/Chapter\ 2 on Mac. There are also other advantages, such as being able to see what types of files are in a directory. In the following examples, the Mac/Linux directory and file commands are used.
The SimpleCV image library actually looks at the file extension provided to determine the image format. png extension will be saved as a PNG. This is done independently of the file’s original Images, Image Sets, and Video | 33 format. For example, the following code is an easy way to convert an image from a JPEG to a PNG. The file extension is not case-sensitive for determining the file format, but it does affect the filename. png") will both create a PNG file, but the filenames will preserve the caps.