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Copy pathread-image.py
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read-image.py
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import numpy as np
import cv2
#load an color image in grayscale
def read_writeimage():
img = cv2.imread('./img/22.jpg',0)
cv2.imwrite('./img/220.jpg',img)
cv2.namedWindow('image',cv2.WINDOW_NORMAL)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import numpy as np
import cv2
def read_writeimage1():
img = cv2.imread('./img/22.jpg',0)
cv2.imshow('image',img)
k = cv2.waitKey(0)
if k == 27: # wait for ESC key to exit
cv2.destroyAllWindows()
elif k == ord('s'): # wait for 's' key to save and exit
cv2.imwrite('./img/220.png',img)
cv2.destroyAllWindows()
import numpy as np
import cv2
from matplotlib import pyplot as plt
def read_imageplt():
img = cv2.imread('./img/22.jpg',0)
plt.imshow(img, cmap = 'gray', interpolation = 'bicubic')
plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
plt.show()