自定义手绘

from PIL import Image
import numpy as np

a = np.asarray(Image.open("a.jpg").convert("L")).astype("float")

depth = 10 #设置深度为10
grad = np.gradient(a) #对数组a求梯度

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 #θ角度
vec_az = np.pi/4. #α角度
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("b.jpg")

自定义手绘

原文：https://www.cnblogs.com/155722-lq/p/12838090.html