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Seeing with Python presented at PyCon AU 2014
This document discusses the history and current state of computer vision. It begins with definitions of computer vision from the 1980s, focusing on machine vision and automatically analyzing images. It then provides a 2014 definition that emphasizes duplicating human vision abilities through electronic image perception and understanding using models from various fields. The document notes computer vision involves more than just image capture, including image processing, algorithm development, and display control. It also lists and briefly describes several popular Python libraries for computer vision tasks, such as PIL, Scipy ndimage, Mahotas, PCV, SimpleCV, and OpenCV. It concludes with resources for learning more about computer vision and Python.
Seeing with Python presented at PyCon AU 2014
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- 2. What is ComputerVision – 1980’s Then it was called Machine Vision "the automatic acquisition and analysis of images to obtain desired data for interpreting a scene or controlling an activity" (Schaffer, 1984). cnt dw $0000 src dw $0000 dst dw $0000 memcpy public ldab cnt+1 ;Set B = cnt.L beq check ;If cnt.L=0, goto check loop ldx src ;Set IX = src ldaa ix ;Load A from (src) inx ;Set src = src+1 stx src ldx dst ;Set IX = dst staa ix ;Store A to (dst) inx ;Set dst = dst+1 stx dst decb ;Decr B bne loop ;Repeat the loop stab cnt+1 ;Set cnt.L = 0 check tst cnt+0 ;If cnt.H=0, beq done ;Then quit dec cnt+0 ;Decr cnt.H decb ;Decr B bra loop ;Repeat the loop done rts ;Return
- 3. What is ComputerVision - 2014 “Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high- dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.” (Wikipedia 2014 http://en.wikipedia.org/wiki/Computer_Vision)
- 4. What is ComputerVision - 2014
- 5. Computer Vision –My Reality
- 6. CV is alot more than grabbing an image CV Object Illumination Image Capture Sensors/Cameras Digitisation/Conversion Image Processing Algorithm Development Implementation Display Control
- 7. Python Imaging Library Pillow– The friendly PIL fork python 2.6+, 3.2+ http://python-pillow.github.io/ PIL – The “original” PIL python 1.52+, 2.0+ last release 11/2009 http://effbot.org/downloads Demo: PIL.ipynb
- 8. Scipy ndimage N dimensionalarray image processing http://docs.scipy.org/doc/scipy/reference/ndimage.html Demo: Multi-demensional image processing.ipynb
- 9. mahotas Another library offast computer vision algorithms (all implemented in C++). Operates over numpy arrays. • Image loading & writing (including formats like LSM or STK). • Image filtering (morphological, Gaussian, &c) • Feature computation (Haralick, LBPs, SURF, &c) • Most functions work in 3D (or even 4D, 5D, up to 32D). • Many other utility functions http://mahotas.readthedocs.org/
- 10. PCV Code for ProgrammingComputer Vision in Python book https://github.com/jesolem/PCV
- 11. SimpleCV SimpleCV is anopen source framework for building computer vision applications. With it, you get access to several high-powered computer vision libraries such as OpenCV – without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. http://simplecv.org/ Demo: SimpleCV - The Basics.ipynb Pygamedependency caused me some problems Not all image manipulation worked in ipython. Simplecv shell is where all functionality works.
- 12. OpenCV Python Wrappers Officialpython wrapper for OpenCV C/C++ libraries Two namespaces cv & cv2. Use cv2, cv deprecated Basis of SimpleCV and other python CV libraries Demo: OpenCV - The Basics.ipynb Demo: OpenCV Motion Detection.ipynb Demo: OpenCV Face Detection.ipynb
- 13. Raspberry Pi CV OpenCVavailable but USB cameras slow Rpi camera faster, uses GPU, doesn’t work with OpenCV apt-get install python-picamera solves that. http://picamera.readthedocs.org/en/release-1.5/
- 14. Resources http://www.packtpub.com/opencv-computer- vision-with-python/book http://programmingcomputervision.com/ There also isa Python CV module PCV http://szeliski.org/Book/ Computer Vision: Algorithms and Applications
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