pip install pillow
pip install scikit-image
pip install matplotlib 
pip install opencv-python
pip install numpy scipy scikit-learn

from PIL import Image

img_path = './test.png'

img = Image.open(img_path)

img

img.mode

'RGB'

img_g = img.convert('L')

img_g.mode

'L'

img_g.save('./test_gray.png')

img_c = img.crop((100,50,200,150))img_c

img.rotate(45)

from PIL import ImageDraw, ImageFont
draw = ImageDraw.Draw(img)
font = ImageFont.truetype('/home/fsf/Fonts/ariali.ttf',size=24)
draw.text((10,5), "This is a picture of sunspot.", font=font)
del draw
img

import cv2

img = cv2.imread('./test.png')

img.min(), img.max()

(0, 255)

import matplotlib.pyplot as plt
plt.imshow(img)
plt.axis('off')
plt.show()

import matplotlib.image as mpimg

img = mpimg.imread('./test.png')

img.min(),img.max()

(0.0, 1.0)

import matplotlib.pyplot as plt
plt.imshow(img,interpolation='spline16')
plt.axis('off')
plt.show()

from skimage.io import imread, imsave, imshow

img = imread('./test.png')

img.min(), img.max()

(0, 255)

import matplotlib.pyplot as plt
plt.imshow(img,interpolation='spline16')
plt.axis('off')
plt.show()

import imageio

img = imageio.imread('./test.png')

img.min(), img.max()

(0, 255)

import matplotlib.pyplot as plt
plt.imshow(img,interpolation='spline16')
plt.axis('off')
plt.show()