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OpenCV for Python Developers

  1. Welcome
  2. What you should know
  3. How to use the exercise files
  4. Python and OpenCV
  5. Install on Mac OS X
  6. Install on Windows 7
  7. Install on Linux Prerequisites
  8. Install on Linux Compile OpenCV
  9. Test the install
  10. Get started with OpenCV and Python
  11. Access and understand pixel data
  12. Data types and structures
  13. Image types and color channels
  14. Pixel manipulation and filtering
  15. Blur, dilation, and erosion
  16. Scale and rotate images
  17. Use video inputs
  18. Create custom interfaces
  19. Challenge Create a simple drawing app
  20. Solution Create a simple drawing app
  21. Segmentation and binary images
  22. Simple thresholding
  23. Adaptive thresholding
  24. Skin detection
  25. Introduction to contours
  26. Contour object detection
  27. Area, perimeter, center, and curvature
  28. Canny edge detection
  29. Object detection overview
  30. Challenge Assign object ID and attributes
  31. Solution Assign object ID and attributes
  32. Overview of face and feature detection
  33. Introduction to template matching
  34. Application of template matching
  35. Haar cascading
  36. Face detection
  37. Challenge Eye detection
  38. Solution Eye detection
  39. Additional techniques
  40. Next steps