Hello, everyone, I am Mu Yixiang~
Code generation renderings
Original picture:
Generate graph:
Original picture:
Generate graph:
Preparation
Python programming first needs to install the environment. The following are the detailed steps:
Friends who know it can skip it by themselves, the code is at the end.
1. Install Python tutorial
Step 1. Double-click to open the Python.exe file, and the following interface will appear.
Note: Check the √ Add Python 3.9 PATH option
This option will automatically add a variable environment for Python to the computer (must be selected)
Step 2. Select Customize installation (Cutormize installation)
Step 3: Check the default content, no need to change it, press the Next button
Step 4. Check the Install for all users option
Browse is to select the installation path. You can customize the installation path to D drive or C drive.
Step 5. After selecting, you can press the - button (Install) to install.
Check whether Python is installed normally and successfully
1. Open CMD (Ctrl+R keys), enter cmd and then enter Python in the terminal
2. When the following content appears, the installation is successful.
3. Enter exit() after >>> to exit.
4. Then enter pip show pip in the terminal to check whether pip is installed successfully.
5. When the above picture style appears, the installation is successful! congratulations! Python installed successfully!
2. Pycharm usage tutorial
Preparation:
Download and install the Python interpreter and Python development tool Pycharm.
When you are ready, start writing your first python program using Pycharm.
Step 1. Open Pycharm, select Create New Project, and create a new project.
Step 2. Set the Python project storage directory, select the interpreter version to be used, and click Create.
Step 3. Right-click the project, select New, and then select Python File to create a Python file.
Step 4. After clicking Python File, enter the Python file name in the pop-up box and press Enter to create the Python file successfully.
Step 5. After displaying 01-First Python Program.py, the file is created successfully. After entering the code in the blank area on the right, right-click Run to run the program.
Step 6. After running successfully, the Pycharm Console window will display our output results.
Successful operation means that there are no problems with the environment and configuration!
from PIL import Image
import numpy as np
a = np.asarray(Image.open(r".\原图.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(r".\手绘.jpg")
print("保存成功,请查看")Look at the code carefully! ! Pay attention to the picture naming and the path! !
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