Hand-drawn image (Python)

PIL library, Python Image Library

PIL library is a third-party library has a powerful image processing capabilities

Installation at the command line: pip install pillow

from PIL import Image

PIL image is representing an image library class (object)

from PIL import Image

import numpy as np

im = np.array(Image.open("D:/web/testsite0/images/2.jpg"))

print(im.shape,im.dtype)
(300, 597) uint8

 

from PIL import Image

import numpy as np

a = np.array(Image.open("D:/PYECourse/txshxg/fcity.jpg").convert('L'))

b = 255 -a

im = Image.fromarray(b.astype('uint8'))

im.save("D:/PYECourse/txshxg/fcity3.jpg")

from PIL import Image

import numpy as np

a = np.array(Image.open("D:/PYECourse/txshxg/fcity.jpg").convert('L'))

c = (100/255)*a + 150

im = Image.fromarray(c.astype('uint8'))

im.save("D:/PYECourse/txshxg/fcity4.jpg")

 

# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.
"""
from PIL import Image
import numpy as np
a = np.asarray(Image.open("D:/PYECourse/txshxg/beijing.jpg").convert('L')).astype('float')

depth = 10.
grad = np.gradient(a)
grad_x,grad_y = grad
grad_x = grad_x*depth/100.
grad_y = grad_y*depth/100.
A = np.sqrt(grad_x**2+grad_y**2+1.)
uni_x = grad_x/A
uni_y = grad_y/A
uni_z = 1./A

vec_el = np.pi/2.2
vec_az = np.pi/4.
dx = np.cos(vec_el)*np.cos(vec_az)
dy = np.cos(vec_el)*np.sin(vec_az)
dz = np.sin(vec_el)

b = 255*(dx*uni_x+dy*uni_y+dz*uni_z)
b = b.clip(0,255)

im = Image.fromarray(b.astype('uint8'))
im.save("D:/PYECourse/txshxg/beijingHD.jpg")




    

原图：