Python simplecv
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This document provides an introduction to computer vision. It discusses how computer vision works by acquiring images, processing them, and analyzing them. It covers various computer vision techniques like template matching to find instances in images, keypoint matching to find features, and using Haar-like features to classify generic objects like faces. It also provides examples of code snippets using the SimpleCV library to implement these techniques. The document is meant to demonstrate how to get started with computer vision using Python.
![Pixel
r, g, b = monalisa[10, 0]
r = 231
g=0
b = 41](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-20-320.jpg)
![Pixel (231, 0, 14)
R, G, B
[0..255]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-23-320.jpg)
![Pixel (231, 0, 14)
R, G, B
[0..255]
....](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-24-320.jpg)
![logo...
[[ 8, 0, 0],
[10, 0, 0],
= [ 7, 0, 0],
...,
[ 0, 3, 0],
[ 0, 2, 0],
[ 0, 2, 1]]]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-25-320.jpg)
![E se...
[[ 2 0 0] [[ 8 0 0]
[2 0 0] [10 0 0]
[1 0 0] [ 7 0 0]
...,
[0 0 0]
- ...,
[ 0 3 0]
= x
[0 0 0] [ 0 2 0]
[0 0 14]] [ 0 2 1]]]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-27-320.jpg)
![logo:
[[ 2 0 0] [[ 8 0 0] [[ -6 0 0]
[2 0 0] [10 0 0] [ -8 0 0]
[1 0 0] [ 7 0 0] [ -6 0 0]
...,
[0 0 0]
- ...,
[ 0 3 0]
= ...,
[ 0 -3 0]
[0 0 0] [ 0 2 0] [ 0 -2 0]
[0 0 14]] [ 0 2 1]]] [ 0 -2 13]]]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-28-320.jpg)
![logo:
[[ 2 0 0] [[ 8 0 0] [[ -6 0 0]
[2 0 0] [10 0 0] [ -8 0 0]
[1 0 0] [ 7 0 0] [ -6 0 0]
...,
[0 0 0]
- ...,
[ 0 3 0]
= ...,
[ 0 -3 0]
[0 0 0] [ 0 2 0] [ 0 -2 0]
[0 0 14]] [ 0 2 1]]] [ 0 -2 13]]]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-29-320.jpg)
![logo:
Então não existe
[[ 2 0 0] [[ 8 0 0] cor negativa? 0]
[[ -6 0
[2 0 0] [10 0 0] [ -8 0 0]
[1 0 0] [ 7 0 0] [ -6 0 0]
...,
[0 0 0]
- ...,
[ 0 3 0]
= ...,
[ 0 -3 0]
[0 0 0] [ 0 2 0] [ 0 -2 0]
[0 0 14]] [ 0 2 1]]] [ 0 -2 13]]]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-30-320.jpg)
![logo:
[[ 2 0 0] [[ 8 0 0] [[ 0 0 0]
[2 0 0] [10 0 0] [0 0 0]
[1 0 0] [ 7 0 0] [0 0 0]
...,
[0 0 0]
- ...,
[ 0 3 0]
= ...,
[0 0 0]
[0 0 0] [ 0 2 0] [0 0 0]
[0 0 14]] [ 0 2 1]]] [0 0
13]]]](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-31-320.jpg)
![● Face
● Perfil
● Olhos
● Orelhas
● Óculos
img.findHaarFeatures('face')[-1].draw()](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-85-320.jpg)
![Problema Bónus
barcode = img.findBarcode()
if barcode is not None:
print barcode[0].data](https://image.slidesharecdn.com/python-simplecv-130131132402-phpapp01/85/Python-simplecv-94-320.jpg)
Python simplecv
- 1. Uma Introdução a Computer Vision Gustavo Pinto @gustavopinto
- 3. voltando alguns meses atrás
- 9. Computer Vision Made Easy Gustavo Pinto www.entropie.com.br
- 10. Computer Vision Made Easy Gustavo Pinto www.entropie.com.br
- 12. Reconhece essa imagem? Ela é *a* original?
- 13. E essa?
- 14. E essa? Como você sabe?
- 15. E essa? Como você sabe?
- 16. E essa? Como você sabe? how to code?
- 19. Pixel
- 20. Pixel r, g, b = monalisa[10, 0] r = 231 g=0 b = 41
- 21. Pixel (231, 0, 14)
- 22. Pixel (231, 0, 14) R, G, B
- 23. Pixel (231, 0, 14) R, G, B [0..255]
- 24. Pixel (231, 0, 14) R, G, B [0..255] ....
- 25. logo... [[ 8, 0, 0], [10, 0, 0], = [ 7, 0, 0], ..., [ 0, 3, 0], [ 0, 2, 0], [ 0, 2, 1]]]
- 26. E se... - = x
- 27. E se... [[ 2 0 0] [[ 8 0 0] [2 0 0] [10 0 0] [1 0 0] [ 7 0 0] ..., [0 0 0] - ..., [ 0 3 0] = x [0 0 0] [ 0 2 0] [0 0 14]] [ 0 2 1]]]
- 28. logo: [[ 2 0 0] [[ 8 0 0] [[ -6 0 0] [2 0 0] [10 0 0] [ -8 0 0] [1 0 0] [ 7 0 0] [ -6 0 0] ..., [0 0 0] - ..., [ 0 3 0] = ..., [ 0 -3 0] [0 0 0] [ 0 2 0] [ 0 -2 0] [0 0 14]] [ 0 2 1]]] [ 0 -2 13]]]
- 29. logo: [[ 2 0 0] [[ 8 0 0] [[ -6 0 0] [2 0 0] [10 0 0] [ -8 0 0] [1 0 0] [ 7 0 0] [ -6 0 0] ..., [0 0 0] - ..., [ 0 3 0] = ..., [ 0 -3 0] [0 0 0] [ 0 2 0] [ 0 -2 0] [0 0 14]] [ 0 2 1]]] [ 0 -2 13]]]
- 30. logo: Então não existe [[ 2 0 0] [[ 8 0 0] cor negativa? 0] [[ -6 0 [2 0 0] [10 0 0] [ -8 0 0] [1 0 0] [ 7 0 0] [ -6 0 0] ..., [0 0 0] - ..., [ 0 3 0] = ..., [ 0 -3 0] [0 0 0] [ 0 2 0] [ 0 -2 0] [0 0 14]] [ 0 2 1]]] [ 0 -2 13]]]
- 31. logo: [[ 2 0 0] [[ 8 0 0] [[ 0 0 0] [2 0 0] [10 0 0] [0 0 0] [1 0 0] [ 7 0 0] [0 0 0] ..., [0 0 0] - ..., [ 0 3 0] = ..., [0 0 0] [0 0 0] [ 0 2 0] [0 0 0] [0 0 14]] [ 0 2 1]]] [0 0 13]]]
- 32. x.show()
- 33. - =
- 34. - = 75.88 61.04 27.57
- 35. - = 75.88 61.04 27.57
- 36. x= - if x >= threshold : print "fake"
- 37. x= - if x >= threshold : print "fake"
- 39. Enabling Computers to See
- 40. ● Open source ● Escrito em Python ● Integrado com iPython ● Excelente para ○ manipulação de imagens ○ conversão de formatos ○ detecção de features ● Captura imagens de streams ○ kinect, webcams, IP Cams, ...
- 41. What is Computer Vision?
- 42. What is Computer Vision?
- 43. What is Computer Vision? acquire process analyze
- 44. This is computer vision made easy!
- 48. Primeiro Problema Vou criar um script pra redimensionar.. 2004
- 52. Primeiro Problema imgs = ImageSet(image_dir) for img in imgs: img = img.resize(w=x, h=y) img.save()
- 53. Primeiro Problema imgs = ImageSet(image_dir) for img in imgs: img = img.resize(w=x, h=y) img.save()
- 54. Primeiro Problema imgs = ImageSet(image_dir) for img in imgs: img = img.resize(w=x, h=y) img.save()
- 55. Primeiro Problema imgs = ImageSet(image_dir) for img in imgs: img = img.resize(w=x, h=y) img.save()
- 56. Primeiro Problema imgs = ImageSet(image_dir) for img in imgs: img = img.resize(w=x, h=y) img.save() Esse cara sou eu..
- 57. Primeiro Problema imgs = ImageSet(image_dir) for img in imgs: img = img.resize(w=x, h=y) img.save() 150+ methods http://simplecv.org/docs/SimpleCV.html
- 58. Outras features original / 5 original original * 5
- 59. Outras features rotate(73., point=(img.width/2,img.height/2)) img.binarize() img.binarize().invert() img.crop(50,40,100, 100)
- 60. Segundo Problema Quem mexeu no meu sorvete?
- 61. Quem mexeu no meu sorvete?
- 62. Quem mexeu no meu sorvete?
- 63. + +
- 64. + + = Como eu vejo
- 65. + + = Como realmente é
- 68. cam = Camera() cam.live() cam = Camera() while True: cam.getImage(). show()
- 69. cam = Camera() cam.live() cam = Camera() while True: cam.getImage(). show() cam = Camera() disp = Display() while disp.isNotDone(): img = cam.getImage() img.save(disp)
- 70. cam = Camera() cam.live() cam = Camera() while True: cam.getImage(). show() cam = JpegStreamReader(device) disp = Display() while disp.isNotDone(): img = cam.getImage() img.save(disp)
- 71. cam = JpegStreamReader(device) disp = Display() previous = cam.getImage() while disp.isNotDone(): current = cam.getImage() diff = current - previous if diff.getNumpy().mean() > threshold: estaoMexendoNaGeladeira(current)
- 72. cam = JpegStreamReader(device) disp = Display() previous = cam.getImage() while disp.isNotDone(): current = cam.getImage() diff = current - previous if diff.getNumpy().mean() > threshold: postAtFacebook(current)
- 73. Terceiro Problema Identificando Imagens
- 74. Template Maching search for instances in a image
- 76. .findTemplate( )
- 77. .findTemplate( ) matches.draw()
- 78. .findTemplate( )
- 79. .findTemplate( ) matches.draw()
- 80. Key Point Template Maching search for keypoints
- 81. .findkeypointMatch( )
- 82. .findkeypointMatch( ) .findkeypoints().draw()
- 83. .findkeypointMatch( ) matches.draw()
- 84. Haar Like Features classify more generic objects
- 85. ● Face ● Perfil ● Olhos ● Orelhas ● Óculos img.findHaarFeatures('face')[-1].draw()
- 86. ● Face ● Perfil ● Olhos ● Boca ● Nariz
- 87. ● Face ● Perfil ● Olhos ● Boca ● Nariz
- 88. ● Face ● Perfil ● Olhos ● Boca ● Nariz
- 89. Haar-like Features != Face Recognition
- 90. Sim, e dai?
- 91. mustacheinator.py https://gist.github.com/4685584
- 92. Problema Bónus
- 93. Problema Bónus
- 94. Problema Bónus barcode = img.findBarcode() if barcode is not None: print barcode[0].data