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原文代码：

# -*- coding: utf-8 -*-

from PIL import Image

import numpy as np

im = Image.open('meitu1.jpg').convert('L')#really.jpg是这里将用于转换的原图

a = np.asarray(im).astype('float') # 将图像以灰度图的方式打开并将数据转为float存入np中.

depth = 10. # (0-100)

grad = np.gradient(a) # 取图像灰度的梯度值

grad_x, grad_y = grad # 分别取横纵图像梯度值

grad_x = grad_x * depth / 100.

grad_y = grad_y * depth / 100.

A = np.sqrt(grad_x ** 2 + grad_y ** 2 + 1.) # 构造x和y轴梯度的三维归一化单位坐标系

uni_x = grad_x / A

uni_y = grad_y / A

uni_z = 1. / A

vec_el = np.pi / 2.2 # 光源的俯视角度，弧度值

vec_az = np.pi / 4. # 光源的方位角度，弧度值

dx = np.cos(vec_el) * np.cos(vec_az) # 光源对x 轴的影响

dy = np.cos(vec_el) * np.sin(vec_az) # 光源对y 轴的影响

dz = np.sin(vec_el) # 光源对z 轴的影响

b = 255 * (dx * uni_x + dy * uni_y + dz * uni_z) # 光源归一化,(梯度和光源相互作用，将梯度转化为灰度)

b = b.clip(0, 255)

im2 = Image.fromarray(b.astype('uint8')) # 重构图像

im2.save('lk.jpg')#保存得到的手绘图片

报错信息：

/usr/local/bin/python3.9 /Users/mac/Lush/Python/format/手绘图片1.py

Traceback (most recent call last):

File "/Users/mac/Lush/Python/format/手绘图片1.py", line 3, in

import numpy as np

File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/numpy/__init__.py", line 151, in

from . import random

File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/numpy/random/__init__.py", line 179, in

from . import _pickle

File "/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/numpy/random/_pickle.py", line 1, in

from .mtrand import RandomState

ImportError: dlopen(/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/numpy/random/mtrand.cpython-39-darwin.so, 2): Symbol not found: _PyCMethod_New

Referenced from: /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/numpy/random/mtrand.cpython-39-darwin.so

Expected in: flat namespace

in /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/numpy/random/mtrand.cpython-39-darwin.so

Process finished with exit code 1

im2.show()#展示