HarisIqbal88/PlotNeuralNet

HarisIqbal88/PlotNeuralNet has 25,082 GitHub stars and 3,064 forks. GitHot measured +2 stars in 24 hours and +7 in 7 days. Last checked 2026-11-09 03:18 UTC. Last push 2023-08-21.

이 수치를 측정하는 방법

신경망 다이어그램을 만들기 위한 LaTeX 코드

25,082 스타 3,064 forks +2 in 24h

측정된 스타 증가

in 24h: +2
in 7 days: +7
in 15 days: 기록 수집 중
in 1 month: 기록 수집 중

서로 겹치는 기간의 순증가량이며 일별 합계가 아닙니다. 측정값이 없으면 비워 둡니다. 스타는 관심도를 나타내며 품질을 보장하지 않습니다.

README.md

Original

PlotNeuralNet

Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.

Examples

Following are some network representations:

FCN-8 (view on Overleaf)

FCN-32 (view on Overleaf)

Holistically-Nested Edge Detection (view on Overleaf)

Getting Started

Install the following packages on Ubuntu.
- Ubuntu 16.04
```
sudo apt-get install texlive-latex-extra
```
- Ubuntu 18.04.2 Base on this website, please install the following packages.
```
sudo apt-get install texlive-latex-base
sudo apt-get install texlive-fonts-recommended
sudo apt-get install texlive-fonts-extra
sudo apt-get install texlive-latex-extra
```
- Windows
1. Download and install MikTeX.
2. Download and install bash runner on Windows, recommends Git bash or Cygwin(https://www.cygwin.com/)

Execute the example as followed.

cd pyexamples/
bash ../tikzmake.sh test_simple

TODO

Python interface
Add easy legend functionality
Add more layer shapes like TruncatedPyramid, 2DSheet etc
Add examples for RNN and likes.

Latex usage

See examples directory for usage.

Python usage

First, create a new directory and a new Python file:

$ mkdir my_project
$ cd my_project
vim my_arch.py

Add the following code to your new file:

import sys
sys.path.append('../')
from pycore.tikzeng import *

# defined your arch
arch = [
    to_head( '..' ),
    to_cor(),
    to_begin(),
    to_Conv("conv1", 512, 64, offset="(0,0,0)", to="(0,0,0)", height=64, depth=64, width=2 ),
    to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"),
    to_Conv("conv2", 128, 64, offset="(1,0,0)", to="(pool1-east)", height=32, depth=32, width=2 ),
    to_connection( "pool1", "conv2"),
    to_Pool("pool2", offset="(0,0,0)", to="(conv2-east)", height=28, depth=28, width=1),
    to_SoftMax("soft1", 10 ,"(3,0,0)", "(pool1-east)", caption="SOFT"  ),
    to_connection("pool2", "soft1"),
    to_end()
    ]

def main():
    namefile = str(sys.argv[0]).split('.')[0]
    to_generate(arch, namefile + '.tex' )

if __name__ == '__main__':
    main()

Now, run the program as follows:

bash ../tikzmake.sh my_arch