cv2 grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2 grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
rgb to grayscale python opencv
import cv2
image = cv2.imread('C:/Users/N/Desktop/Test.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cv2.imshow('Original image',image)
cv2.imshow('Gray image', gray)
cv2.waitKey(0)
cv2.destroyAllWindows()
convert image to grayscale opencv
img = cv2.imread(path)
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
Image to grayscale using python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
def rgb2gray(rgb):
return np.dot(rgb[...,:3], [0.299, 0.587, 0.144])
img = mpimg.imread('img.png')
gray = rgb2gray(img)
plt.imshow(gray, cmap='gray')
plt.savefig('greyscale.png')
plt.show()
convert image to grayscale opencv
img_gray_mode = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
python image to grayscale
from PIL import Image
img = Image.open("image.jpg")
img.convert("L").save("result.jpg")
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