Instant Raspberry Pi Computer Vision

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Instant Raspberry Pi Computer Vision

Learn Computere Vision with Raspberry Pi and Python

About the Book

The book introduces the readers to the concepts of Computer Vision and Image Processing. We will use Raspberry Pi as a platform to code with Python programming.

The book explores the following Python libraries,

  • scikit-image
  • scikit-video

Also, the book introduces the readers to the following Python libraries,

  • NumPy
  • matplotlib

The Computer Vision concepts introduced in the book are accompanied by easy to follow and well explained code examples. Code examples aid the readers to grasp the Computer Vision concepts. The book is meant for the beginners new to the world of Computer Vision.

Please spread the word about the book. Feedback on my writing and coding style will be much appreciated. Readers' feedback helps me to code, write, and explain better.

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  • Categories

    • Computers and Programming
    • Python
    • Computer Hardware
    • Raspberry Pi

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About the Author

Ashwin Pajankar
Ashwin Pajankar

Ashwin Pajankar is a Polymath. He is a Science Popularizer, a Programmer, a Maker, an Author, and a Youtuber.

His website is http://www.AshwinPajankar.com

Subscribe to his Youtube Channel http://www.YouTube.com/AshwinPajankar for videos and Tutorials related to Science, Technology, Engineering, and Mathematics (STEM).

He can be contacted through LinkedIn https://in.linkedin.com/in/ashwinpajankar

He is author of multiple books. He has written 3 books with Packt Publication, 6 books with Leanpub, and 3 books with Apress. He has also reviewed four books for Packt Publications. He is working on few more books.

Author Profile on Packt https://www.packtpub.com/books/info/authors/ashwin-pajankar

Author Profile on Amazon.com https://www.amazon.com/author/ashwinpajankar

He graduated from IIIT Hyderabad with MTech in Computer Science and Engineering. He has keen interest in the promotion of Science, Technology, Engineering, and Mathematics (STEM) education.

Table of Contents

  •  
    • Acknowledgments
    • Preface
      •  
        • Why am I writing this book?
        • Who this book is for?
        • How is this book organized?
        • What this book is not?
      • About the Author
      • About the Reviewer
      • Errata and Suggestions
      • How to Help the Author
  • I Raspberry Pi
    • 1. Single Board Computers
      • 1.1 History of SBCs
      • 1.2 Various popular SBC families
        • 1.2.1 Raspberry Pi
        • 1.2.2 Banana Pi
        • 1.2.3 Cubieboard
        • 1.2.4 Intel Galileo
      • 1.3 SoC
      • 1.4 Summary
    • 2. Introduction to Raspberry Pi
      • 2.1 Popular Raspberry Pi models
        • 2.1.1 Raspberry Pi 1 Model B+
        • 2.1.2 Raspberry Pi 2 Model B
        • 2.1.3 Raspberry Pi 3 Model B
      • 2.2 Raspberry Pi cases
        • 2.2.1 Raspberry Pi Official case
        • 2.2.2 Pimoroni Pibow case
        • 2.2.3 Raspberry Pi acrylic case
        • 2.2.4 Other cases
      • 2.3 Where to buy Raspberry Pi and the cases
      • 2.4 Summary
    • 3. Setting up Raspberry Pi
      • 3.1 Hardware required for the setup
        • 3.1.1 Raspberry Pi
        • 3.1.2 Computer
        • 3.1.3 I/O Devices
        • 3.1.4 microSD card
        • 3.1.5 Power Supply
        • 3.1.6 Card Reader
        • 3.1.7 Monitor
      • 3.2 Preparing microSD card manually
        • 3.2.1 Download the required freewares
          • 3.2.1.1 Download Acclerator Plus
          • 3.2.1.2 Win32DiskImager
          • 3.2.1.3 WinZip or WinRaR
        • 3.2.2 Download and extract the Raspbian OS image
        • 3.2.3 Writing the OS image to the microSD card
        • 3.2.4 Altering the contents of config.txt
      • 3.3 Booting up the Pi
      • 3.4 Configuring the Pi
      • 3.5 Summary
    • 4. Raspbian and useful Linux commands
      • 4.1 Raspbian
      • 4.2 config.txt
      • 4.3 Connecting Raspberry Pi to a network and the internet
        • 4.3.1 WiFi
        • 4.3.2 Ethernet
          • 4.3.2.1 Static IP address
          • 4.3.2.2 Dynamic IP address
          • 4.3.2.3 Verifying connectivity
      • 4.4 Important Linux commands
        • 4.4.1 updating the Pi
          • 4.4.1.1 Updating the firmware
          • 4.4.1.2 Updating and Upgrading Raspbian
        • 4.4.2 Shutting down and restarting Pi
        • 4.4.3 Getting help on Linux commands
        • 4.4.4 Network related commands
          • 4.4.4.1 ifconfig
          • 4.4.4.2 iwconfig
          • 4.4.4.3 iwlist wlan0 scan
          • 4.4.4.4 ping
        • 4.4.5 System Information Commands
          • 4.4.5.1 CPU related information
          • 4.4.5.2 Memory related information
          • 4.4.5.3 System and version information
          • 4.4.5.4 Partition related information
          • 4.4.5.5 Other useful commands
      • 4.5 Summary
    • 5. Connect to Pi remotely
      • 5.1 Enabling Pi for SSH from raspi-config
      • 5.2 Checking connectivity with Pi from our computer
      • 5.3 PuTTY
      • 5.4 Accessing Raspberry Pi Desktop remotely
      • 5.5 WinSCP
      • 5.6 Connecting to Raspberry Pi using Linux or Mac OS
        • 5.6.1 Remote login with SSH
        • 5.6.2 X11 Forwarding using SSH
        • 5.6.3 SCP for file transfer
      • 5.7 Summary
    • 6. Other Models of Pi
      • 6.1 Raspberry Pi Model 1 B
        • 6.1.1 Setting up Raspberry Pi Model 1 B
      • 6.2 Raspberry Pi Model 1 A
        • 6.2.1 Setting up and accessing Raspberry Pi Model 1 A
      • 6.3 Raspberry Pi Model 1 A+
        • 6.3.1 Setting up and accessing Raspberry Pi Model 1 A+
      • 6.4 Raspberry Pi Zero
        • 6.4.1 Setting up and accessing Raspberry Pi Zero
      • 6.5 Summary
    • 7. Miscellaneous Topics
      • 7.1 Taking the backup of microSD card
      • 7.2 Expanding the filesystem
        • 7.2.1 Always take backup before expanding the filesystem
      • 7.3 Changing the hostname
      • 7.4 Summary
    • 8. Overclocking Pi
      • 8.1 Risks of Overclocking Raspberry Pi
      • 8.2 Installing heatsink on Pi
        • 8.2.1 Procuring heatsinks
      • 8.3 Overclocking the Pi with raspi-config
      • 8.4 Overclocking the Pi with /boot/config.txt
        • 8.4.1 Options in /boot/config.txt
        • 8.4.2 /boot/config.txt options for various models of Pi
          • 8.4.2.1 Options for Pi B and Pi B+
          • 8.4.2.2 Options for Pi 2
          • 8.4.2.3 Options for Pi 3
      • 8.5 Summary
  • II Image Processing
    • 9. Getting Started
      • 9.1 Preparing the Pi for Digital Image Processing
      • 9.2 How to organize the code
      • 9.3 Image sources
      • 9.4 A Simple program
      • 9.5 data module
      • 9.6 Introduction to NumPy
      • 9.7 Image properties
      • 9.8 Image statistics
      • 9.9 An individual pixel and Image masks
      • 9.10 Using matplotlib for displaying images
      • 9.11 References and further readings
      • 9.12 Summary
    • 10. Basic Operations
      • 10.1 Image Channels
      • 10.2 Arithmetic Operations on image
      • 10.3 Logical operations on image
      • 10.4 Image Histogram
      • 10.5 Summary
    • 11. Transformations
      • 11.1 Transformations on images
      • 11.2 Projective Transformation
      • 11.3 The Swirl Effect
      • 11.4 Image Pyramids
      • 11.5 Affine Transformation
      • 11.6 Resizing an image
      • 11.7 Summary
    • 12. Histograms
      • 12.1 Histogram of greyscale image
      • 12.2 Color Image histogram
      • 12.3 Histogram Equalization
      • 12.4 Summary
    • 13. Thresholding
      • 13.1 Simple thresholding
      • 13.2 Built-in methods for thresholding
      • 13.3 Summary
    • 14. Filtering
      • 14.1 Low pass filter
      • 14.2 High pass filters
        • 14.2.1 Computing horizontal and vertical edges
      • 14.3 Applying Gray-scale filters to the RGB images
      • 14.4 Summary
    • 15. Improving Images
      • 15.1 Image Inpainting
      • 15.2 Noise
      • 15.3 Denoising
      • 15.4 Summary
    • 16. Feature Detection
      • 16.1 Canny edge detection Algorithm
      • 16.2 Hough Transforms
      • 16.3 Corner detection
      • 16.4 Summary
    • 17. Advanced Operations
      • 17.1 Tinting Greyscale Images
      • 17.2 Contours
      • 17.3 Convex Hull
      • 17.4 Skeletonization
      • 17.5 Segmentation
      • 17.6 Summary
    • 18. Image Processing with matplotlib
      • 18.1 Reading an image
      • 18.2 Colormaps
      • 18.3 Colorbar
      • 18.4 Image Histogram in matplotlib
      • 18.5 Interpolation methods
      • 18.6 Summary
  • III Video Processing
    • 19. Video Processing
      • 19.1 Installation of required utilities and libraries
      • 19.2 Recording a Video
      • 19.3 Video playback using scikit-video
      • 19.4 Summary
    • 20. Conclusion

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