Processamento de Imagens - 07-03 (aula 3)

aula03-01-show-image.py

import cv2

img = cv2.imread("data/lena.jpg")

cv2.imshow('Img',img)

print('Shape: ', img.shape)
print('Size: ' , img.size)
print('Type: ' , img.dtype)

cv2.waitKey()

cv2.destroyAllWindows()

aula03-02-gray-scale.py

import cv2

img = cv2.imread("data/lena.jpg", cv2.IMREAD_GRAYSCALE)

cv2.imshow('Img',img)

cv2.imwrite('newfile.jpg', img)

print("Tom de cinza aplicado")

cv2.waitKey()

cv2.destroyAllWindows()

aula03-03-video-avi.py

import cv2

cap = cv2.VideoCapture("drop.avi")

while cap.isOpened():
    ret, frame = cap.read()

    cv2.imshow('Camera', frame)

    if cv2.waitKey(15) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()

aula03-04-webcam-capture.py

import cv2

cap = cv2.VideoCapture(0)

while True :
    ret, frame = cap.read()

    cv2.imshow('Camera', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()

aula03-05-change-pixel-color-to-gray.py

import cv2


imgRGB  = cv2.imread('../data/lena.jpg')
imgGray = cv2.cvtColor(imgRGB, cv2.COLOR_BGR2GRAY)


#Numpy is a optimized library for fast array calculations. 
#So simply accessing each and every pixel values and modifyin it will be very slow and it is discouraged.


#get RGB pixel value at 100x100 
pixel = imgRGB[100,100]

#print rgb value of pixel
print('RGB value: ', pixel)

#get Gray pixel value at 100x100
pixel = imgGray[100,100]

#print gray scale value of pixel
print('Gray pixel: ', pixel)

#set green to position
imgRGB[100,100] = [0,255,0]

#set white to position
imgGray[100,100] = 255


cv2.imshow('RGB Edit pixel image',imgRGB)
cv2.imshow('Gray Edit pixel image',imgGray)

cv2.waitKey()
cv2.destroyAllWindows()

aula03-06-region-of-interest.py

import cv2

imgRGB  = cv2.imread('../data/lena.jpg')

#cria um ROI - Region of Interest
roi = imgRGB[200:400, 200:400]

final = imgRGB.copy()
final[0:200, 0:200] = roi


final[imgRGB.shape[0]-200:imgRGB.shape[0], 
      imgRGB.shape[1]-200:imgRGB.shape[1]] = roi 


cv2.imshow('RGB image',imgRGB)
cv2.imshow('ROI  mage',roi)
cv2.imshow('Final  mage',final)

cv2.waitKey()
cv2.destroyAllWindows()