Latex code for making neural networks diagrams

Overview

PlotNeuralNet

DOI

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

  1. 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/)
  2. 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
Comments
  • Error when running readme example: `I can't find file `tikzlibraryquotes.code.tex'`

    Error when running readme example: `I can't find file `tikzlibraryquotes.code.tex'`

    python my_arch.py works fine, producing the output included below. However, when I run pdflatex, I get error:

    ! I can't find file `tikzlibraryquotes.code.tex'.
    <argument> ...nput tikzlibrary\[email protected] .code.tex 
                                                      \catcode `\@ =\csname tikz...
    l.2 \usetikzlibrary{quotes,arrows.meta}
    

    I presume this is a simple fix requiring an install. Please may you help me diagnose what I need installed on my system for this to run? I am able to run tikz fine and create examples e.g. this one.

    LaTeX info

    $ pdflatex --version
    pdfTeX 3.1415926-2.5-1.40.14 (TeX Live 2013/Debian)
    kpathsea version 6.1.1
    Copyright 2013 Peter Breitenlohner (eTeX)/Han The Thanh (pdfTeX).
    There is NO warranty.  Redistribution of this software is
    covered by the terms of both the pdfTeX copyright and
    the Lesser GNU General Public License.
    For more information about these matters, see the file
    named COPYING and the pdfTeX source.
    Primary author of pdfTeX: Peter Breitenlohner (eTeX)/Han The Thanh (pdfTeX).
    Compiled with libpng 1.2.50; using libpng 1.2.50
    Compiled with zlib 1.2.8; using zlib 1.2.8
    Compiled with poppler version 0.24.5
    

    Python output:

    \documentclass[border=8pt, multi, tikz]{standalone} 
    \usepackage{import}
    \subimport{../layers/}{init}
    \usetikzlibrary{positioning}
    \usetikzlibrary{3d} %for including external image 
    
    
    \def\ConvColor{rgb:yellow,5;red,2.5;white,5}
    \def\ConvReluColor{rgb:yellow,5;red,5;white,5}
    \def\PoolColor{rgb:red,1;black,0.3}
    \def\UnpoolColor{rgb:blue,2;green,1;black,0.3}
    \def\FcColor{rgb:blue,5;red,2.5;white,5}
    \def\FcReluColor{rgb:blue,5;red,5;white,4}
    \def\SoftmaxColor{rgb:magenta,5;black,7}   
    
    
    \newcommand{\copymidarrow}{\tikz \draw[-Stealth,line width=0.8mm,draw={rgb:blue,4;red,1;green,1;black,3}] (-0.3,0) -- ++(0.3,0);}
    
    \begin{document}
    \begin{tikzpicture}
    \tikzstyle{connection}=[ultra thick,every node/.style={sloped,allow upside down},draw=\edgecolor,opacity=0.7]
    \tikzstyle{copyconnection}=[ultra thick,every node/.style={sloped,allow upside down},draw={rgb:blue,4;red,1;green,1;black,3},opacity=0.7]
    
    
    \pic[shift={(0,0,0)}] at (0,0,0) 
        {Box={
            name=conv1,
            caption= ,
            xlabel={{64, }},
            zlabel=512,
            fill=\ConvColor,
            height=64,
            width=2,
            depth=64
            }
        };
    
    
    \pic[shift={ (0,0,0) }] at (conv1-east) 
        {Box={
            name=pool1,
            caption= ,
            fill=\PoolColor,
            opacity=0.5,
            height=32,
            width=1,
            depth=32
            }
        };
    
    
    \pic[shift={(1,0,0)}] at (pool1-east) 
        {Box={
            name=conv2,
            caption= ,
            xlabel={{64, }},
            zlabel=128,
            fill=\ConvColor,
            height=32,
            width=2,
            depth=32
            }
        };
    
    
    \draw [connection]  (pool1-east)    -- node {\midarrow} (conv2-west);
    
    
    \pic[shift={ (0,0,0) }] at (conv2-east) 
        {Box={
            name=pool2,
            caption= ,
            fill=\PoolColor,
            opacity=0.5,
            height=28,
            width=1,
            depth=28
            }
        };
    
    
    \pic[shift={(3,0,0)}] at (pool1-east) 
        {Box={
            name=soft1,
            caption=SOFT,
            xlabel={{" ","dummy"}},
            zlabel=10,
            fill=\SoftmaxColor,
            opacity=0.8,
            height=3,
            width=1.5,
            depth=25
            }
        };
    
    
    \draw [connection]  (pool2-east)    -- node {\midarrow} (soft1-west);
    
    
    \end{tikzpicture}
    \end{document}
    
    opened by JamesOwers 8
  • Importing Standalone output to tex document

    Importing Standalone output to tex document

    Hey, Thanks for the tool, the graphics look awesome. I'm having some difficulty importing the outputted standalone tex file into a technical report of mine and was wondering if someone tried to do something similar and can help :) Thanks!

    opened by aklyussef 5
  • Fully Connected layer box

    Fully Connected layer box

    Below is the code that implements a fully connected layer box since I wasn't able to find it in the code. I used to_SoftMax function and modified it.

    The code should be put inside pycore/tikzeng.py file.

    def to_FullyConnected( name, s_filer=" ", n_filer=" ", offset="(0,0,0)", to="(0,0,0)", width=1.5, height=3, depth=25, opacity=0.8, caption=" " , zlabelposition='midway'):
        return r"""
    \pic[shift={"""+ offset +"""}] at """+ to +""" 
        {Box={
            name=""" + name +""",
            caption=""" +caption + """,
            xlabel={{ """+ '"'+str(n_filer) +'", "dummy"'+ """ }},
            zlabel="""+ str(s_filer) +""",
            zlabelposition="""+zlabelposition+""",
            fill=\FcColor,
            bandfill=\FcReluColor,
            opacity="""+ str(opacity) +""",
            height="""+ str(height) +""",
            width="""+ str(width) +""",
            depth="""+ str(depth) +"""
            }
        };
    """
    

    Cheers.

    opened by chrismaliszewski 5
  • to_input(...) doesn't have east, west... properties

    to_input(...) doesn't have east, west... properties

    I would like to connect the input image to conv blocks and other blocks, but it is not possible since to_input(...) doesn't have east, west, northeast, etc... properties. How to solve this? Maybe wrap to_input(...) in a box or something?

    opened by dougsouza 5
  • Unet to DenseNets

    Unet to DenseNets

    I am trying to modify Unet tex code to create DenseNets block. f838717a-6ad1-11e6-9391-f0906c80bc1d

    I am wondering how to modify the connection lines that then look like densenets style? Thank you for your time!

    opened by zuxfoucault 4
  • ModuleNotFoundError: No module named 'pycore.tikzeng'

    ModuleNotFoundError: No module named 'pycore.tikzeng'

    After running pip install pycore when I try to run in python: from pycore.tikzeng import * I got: ModuleNotFoundError: No module named 'pycore.tikzeng'

    Version: pycore==17.4.17

    opened by amirubin87 4
  • I want to know how to add legend

    I want to know how to add legend

    Hi, I wonder if there is a way of adding legend to the figure (identifying which color corresponds to which type of layer).

    A example default

    And how to eliminate cube number?

    opened by quinwu 4
  • Font size in the graph

    Font size in the graph

    Does anyone know how to change the font size in the graph? I tried to simply add to the documentclass

    \documentclass[border=15pt, multi, tikz]{standalone}

    but it doesn't work and returns some errors with positioning.

    opened by wufeim 3
  • unet error

    unet error

    pyexamples|master⚡ ⇒ bash ../tikzmake.sh unet

    File "unet.py", line 19 block_2ConvPool( name='b2', botton='pool_b1', top='pool_b2', s_filer=256, n_filer=128, offset="(1,0,0)", size=(32,32,3.5), opacity=0.5 ), ^ SyntaxError: invalid syntax This is pdfTeX, Version 3.14159265-2.6-1.40.19 (TeX Live 2018) (preloaded format=pdflatex) restricted \write18 enabled. entering extended mode ! I can't find file `unet.tex'. <> unet.tex

    (Press Enter to retry, or Control-D to exit) Please type another input file name: ^D ! Emergency stop. <*> unet.tex

    ! ==> Fatal error occurred, no output PDF file produced! Transcript written on texput.log. rm: *.aux: No such file or directory rm: *.vscodeLog: No such file or directory rm: *.tex: No such file or directory ../tikzmake.sh: line 10: xdg-open: command not found

    opened by wm901115nwpu 3
  • Labeling Blocks will create a solid line

    Labeling Blocks will create a solid line

    I tried to let the Box block's edges be invisible via fill=\fill, draw=\fill in Box.sty.

    Actually, It only let edges AH, AD, DE, CD, EF and HE invisible.

    Finally I found that \path (b) edge ["\bf\xlabel"', midway] (c); created a solid line in BC, so do AB and CF.

    I have no idea to fix this and I don't know why the solid lines emerged though no pic action acted in above code.

    Furthermore, I want customize the style of draw line, but nothing changes after I put thin into "box" style setting.

    opened by omegahh 3
  • What does the single quotation mark which follows double quotation marks mean?

    What does the single quotation mark which follows double quotation marks mean?

    Thanks for your amazing work! I am confused with the quotation mark like "\cubezlabel"'. What is the difference between "\cubezlabel".

    Looking forwarding your answer:)

    opened by omegahh 3
  • Made python interface installable via pip

    Made python interface installable via pip

    Hi, HarisIqbal88!

    My boss told me to use your package for my master thesis and I really like it, but it was bugging me, that it didn't have an installer. So I made it installable via pip. I had to rearrange your directories a little bit, but I hope you like it.

    I also added CITATION.cff, this will show how to cite your software directly in the repos sidebar.

    You might want to add your email or ORCID in pyproject.toml and check CITATION.cff for errors.

    I wish you a happy New Year!

    Kind regards, Jonas Eichhorn

    opened by AlreadyTakenJonas 1
  • Add a documentation

    Add a documentation

    Hello,

    Thank you for the good work.

    Please can you work toward doing a good documentation for this repo ? Some arguments are not clearly defined, and it's not clear what values we should use etc.. a proper documentation would be greatly appreciated !

    Cordially

    opened by NicolasNerr 0
  • Add arrow as legend (U-Net Model)

    Add arrow as legend (U-Net Model)

    How can I use an arrow as a legend of the plot? Please give me an example!

    Model architecture: U-Net (I want to plot "concatenate arrows" in U-Net as legend)

    image

    opened by mehrdad-dev 0
Releases(v1.0.0)
  • v1.0.0(Dec 25, 2018)

    This is the first release that is built on the idea to further extend the functionality with maximum backward compatibility. Layer names(e.g., Box,RightBandedBox) and their attributes(e.g., caption,xlabels) are generic. Moreover, the code is much better readable than the previous version. TO DO's:

    • Add easy legend functionality
    • Add more layer shapes like TruncatedPyramid, 2DSheet etc
    Source code(tar.gz)
    Source code(zip)
  • v0.1(Dec 25, 2018)

    This is the very first release in which layers were defined by specific names like Conv, ConvRelu,Deconv and a workable solution was created. This version is not suitable for extension because having a separate layer just because it is represented by a different colour is not clever. In future release, layers should be defined in generic terms like Box, RightBandedBox, Ball etc so that less code can make different layers with colour as a parameter. Additionally, attributes of each layer should also be changed to generic for example: from numFilters to xlabels

    Source code(tar.gz)
    Source code(zip)
Owner
Haris Iqbal
Computer Science Student at Saarland University
Haris Iqbal
Accurate identification of bacteriophages from metagenomic data using Transformer

PhaMer is a python library for identifying bacteriophages from metagenomic data. PhaMer is based on a Transorfer model and rely on protein-based vocab

Kenneth Shang 9 Nov 30, 2022
A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21

ANEMONE A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21 Dependencies python==3.6.1 dgl==

Graph Analysis & Deep Learning Laboratory, GRAND 30 Dec 14, 2022
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations Code repo for paper Trans-Encoder: Unsupervised sentence-pa

Amazon 101 Dec 29, 2022
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, Pattern Recognition

USDAN The implementation of Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, which is accepte

11 Nov 03, 2022
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs This is the code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowl

MIRA Lab 33 Dec 07, 2022
Library to enable Bayesian active learning in your research or labeling work.

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

ElementAI 687 Dec 25, 2022
AITom is an open-source platform for AI driven cellular electron cryo-tomography analysis.

AITom Introduction AITom is an open-source platform for AI driven cellular electron cryo-tomography analysis. AITom is originated from the tomominer l

93 Jan 02, 2023
Lama-cleaner: Image inpainting tool powered by LaMa

Lama-cleaner: Image inpainting tool powered by LaMa

Qing 5.8k Jan 05, 2023
Code for Paper "Evidential Softmax for Sparse MultimodalDistributions in Deep Generative Models"

Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models Abstract Many applications of generative models rely on the marginali

Stanford Intelligent Systems Laboratory 9 Jun 06, 2022
A dead simple python wrapper for darknet that works with OpenCV 4.1, CUDA 10.1

What Dead simple python wrapper for Yolo V3 using AlexyAB's darknet fork. Works with CUDA 10.1 and OpenCV 4.1 or later (I use OpenCV master as of Jun

Pliable Pixels 6 Jan 12, 2022
Contains code for Deep Kernelized Dense Geometric Matching

DKM - Deep Kernelized Dense Geometric Matching Contains code for Deep Kernelized Dense Geometric Matching We provide pretrained models and code for ev

Johan Edstedt 83 Dec 23, 2022
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

This repository contains code for the following two papers: VisualBERT: A Simple and Performant Baseline for Vision and Language (arxiv) with a short

Natural Language Processing @UCLA 463 Dec 09, 2022
Object detection GUI based on PaddleDetection

PP-Tracking GUI界面测试版 本项目是基于飞桨开源的实时跟踪系统PP-Tracking开发的可视化界面 在PaddlePaddle中加入pyqt进行GUI页面研发,可使得整个训练过程可视化,并通过GUI界面进行调参,模型预测,视频输出等,通过多种类型的识别,简化整体预测流程。 GUI界面

杨毓栋 68 Jan 02, 2023
3D mesh stylization driven by a text input in PyTorch

Text2Mesh [Project Page] Text2Mesh is a method for text-driven stylization of a 3D mesh, as described in "Text2Mesh: Text-Driven Neural Stylization fo

Threedle (University of Chicago) 649 Dec 27, 2022
Autonomous racing with the Anki Overdrive

Anki Autonomous Racing Autonomous racing with the Anki Overdrive. Using the Overdrive-Python API (https://github.com/xerodotc/overdrive-python) develo

3 Dec 11, 2022
Some toy examples of score matching algorithms written in PyTorch

toy_gradlogp This repo implements some toy examples of the following score matching algorithms in PyTorch: ssm-vr: sliced score matching with variance

Ending Hsiao 21 Dec 26, 2022
RL-driven agent playing tic-tac-toe on starknet against challengers.

tictactoe-on-starknet RL-driven agent playing tic-tac-toe on starknet against challengers. GUI reference: https://pythonguides.com/create-a-game-using

21 Jul 30, 2022
This reporistory contains the test-dev data of the paper "xGQA: Cross-lingual Visual Question Answering".

This reporistory contains the test-dev data of the paper "xGQA: Cross-lingual Visual Question Answering".

AdapterHub 18 Dec 09, 2022
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module

Invariant Point Attention - Pytorch Implementation of Invariant Point Attention as a standalone module, which was used in the structure module of Alph

Phil Wang 113 Jan 05, 2023
GAN-STEM-Conv2MultiSlice - Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation

GAN-STEM-Conv2MultiSlice GAN method to help covert lower resolution STEM images generated by convolution methods to higher resolution STEM images gene

UW-Madison Computational Materials Group 2 Feb 10, 2021