Yin Yang Ranch - Building a Distributed Computer Vision Pipeline Using Python

Yin Yang Ranch - Building a Distributed Computer Vision Pipeline Using Python

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Intro

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Intro

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Yin Yang Ranch - Building a Distributed Computer Vision Pipeline Using Python

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  1. 1 Intro
  2. 2 Yin Yang Ranch: A Distributed Computer Vision System
  3. 3 Building a Small Permaculture Farm in Suburbia
  4. 4 Jeff Bass Bio Bullets (College, Career, Retirement)
  5. 5 How Computer Vision helps manage my small permaculture farm
  6. 6 What is a Distributed Computer Vision Pipeline?
  7. 7 My Tools for Computer Vision in Python
  8. 8 Image Computing Toolset: OpenCV
  9. 9 imagenode image ZMQ imagehub Pseudocode for imagenode
  10. 10 DCVP Example: Reading my Water Meter
  11. 11 Imagenode Code Snippet (Runs on a RPI)
  12. 12 There are many imagenode CV settings... Parameter Tuning to optimize detection
  13. 13 For each image captured, imagenode: • Applies Transformations
  14. 14 Image Transport: ZMQ
  15. 15 Imagehub Code Snippet (Runs on a Mac)
  16. 16 DCVP end to end example: the Barn Coyote Cam
  17. 17 Communicating to End Users (me :-)
  18. 18 Yin Yang Ranch DCVP: Lessons Learned So Far
  19. 19 Hardware: Example Light Types
  20. 20 Hardware Enclosures: Use Existing Light Fixtures!
  21. 21 Learnings: Some Hardware Tips and Tricks
  22. 22 Yin Yang Ranch DCVP projects are Open Source & on GitHub
  23. 23 Questions about this talk? Get Answers!

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