#!/usr/bin/python

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

from PIL import Image

import numpy as np

a = np.asarray(Image.open("/root/1.jpg").convert('L')).astype('float')

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.)

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

b = b.clip(0,255)

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

im.save("/root/123.jpg")

print("保存成功查看")

报错1:-bash: pip: command not found

wget https://bootstrap.pypa.io/get-pip.py

python get-pip.py

报错2:from PIL import Image, ImageFilter,ImageOps

pip install pillow

ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.

pip install -i https://pypi.douban.com/simple pillow

报错3:ImportError: No module named numpy

ERROR: Could not find a version that satisfies the requirement numpy (from versions: none)

ERROR: No matching distribution found for numpy

pip install -i https://pypi.douban.com/simple numpy

windows安装插件:

下载安装pip:https://pypi.org/project/pip/#modal-close

win+r--->cmd

python setup.py install

pip install pillow/pip install -i https://pypi.douban.com/simple pillow(报超时执行后面这条)

pip install numpy(安装numpy和安装pillow一样)

from PIL import Image

import numpy as np

a = np.asarray(Image.open("E:/picture/1.png").convert('L')).astype('float')

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.)

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

b = b.clip(0,255)

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

im.save("D:/123.jpg")

print("保存成功查看")