import cv2 as cv
import numpy as np
def access_pixels(image):
print(image.shape)
height = image.shape[0]
width = image.shape[1]
channels = image.shape[2]
print('width:{}, height:{}, channels:{}'.format(width, height, channels))
for row in range(height):
for col in range(width):
for c in range(channels):
pv = image[row, col, c]
image[row, col, c] = 255 - pv
cv.imshow('pixels_demo', image)
def inverse(imge):
dst = cv.bitwise_not(imge) #像素取反
cv.imshow('inverse demo', dst)
def create_image():
'''
img = np.zeros([400, 400, 3], np.uint8)
img[:, :, 0] = np.ones([400, 400])*255
cv.imshow('new_image', img)
img = np.ones([400, 400, 1], np.uint8)
img = img*0
cv.imshow('new image', img)
cv.imwrite('myimg.png', img)
'''
m1 = np.ones([3,3], np.float32)
m1.fill(12222.388)
print(m1)
m2 = m1.reshape([1, 9])
print(m2)
m3 = np.array([[2,3,4],[4,5,6],[7,8,9]], np.int32)
m3.fill(9)
print(m3)
src = cv.imread('./0.png') #blue, green, red
cv.namedWindow('input image', cv.WINDOW_AUTOSIZE)
cv.imshow('input image', src)
t1 = cv.getTickCount()
# access_pixels(src)
create_image()
# inverse(src)
t2 = cv.getTickCount()
time = (t2-t1)/cv.getTickFrequency()
print('time:{} ms'.format(time*1000))
cv.waitKey(0)
cv.destroyAllWindows()
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