python素描_python素描照片
#!/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")
本文来自互联网用户投稿，文章观点仅代表作者本人，不代表本站立场，不承担相关法律责任。如若转载，请注明出处。 如若内容造成侵权/违法违规/事实不符，请点击【内容举报】进行投诉反馈！