Pgn2tex - Scripts to convert pgn files to latex document. Useful to build books or pdf from pgn studies

Related tags

Deep Learningpgn2tex
Overview

Pgn2Latex (WIP)

A simple script to make pdf from pgn files and studies. It's still work in progress and I hope to improve it in the future. Please feel to reach out or to contribute by submitting issues and pull requests!

Examples

Some examples can be found in the examples/ directory. At the moment there is a book on the Stafford Gambit based on this study and a book of puzzles.

Requirements

Python

pip install -r requirements.txt

Latex

It uses xskak and skak to draw the chessboards. The latex files should be compiled using xelatex.

Usage

Studies

> python pgn2tex/study.py --help
usage: study.py [-h] [--mode {single,study}] [--players] [--template TEMPLATE] [--front-page FRONT_PAGE] [-o OUTPUT] file

Convert a PGN file to a latex document. It is supposed to be used to create book from a study or a single game analysis.

positional arguments:
  file                  PGN File to parse

options:
  -h, --help            show this help message and exit
  --mode {single,study}, -m {single,study}
                        Wether to treat each game independently or as one single large study with several chapters.
  --players, -p         Add player names
  --template TEMPLATE, -t TEMPLATE
                        Template file to use, if none only the latex content is generated with headers / document class, it can be input later on in any latex document.
  --front-page FRONT_PAGE, -f FRONT_PAGE
                        Path to a pdf frontpage
  -o OUTPUT, --output OUTPUT
> python pgn2tex/study.py examples/lichess_study_stafford-gambit_by_wyggam_2020.10.04.pgn --mode study -o examples/stafford.tex --template pgn2tex/templates/book.tex --front-page pgn2tex/templates/frontpage_stafford.pdf
> cd examples
> xelatex stafford.tex
> xelatex stafford.tex # for table of content and cross refs

Puzzles

You first need to download the lichess puzzle database and the themes description, assuming you are in the root directory of the repo:

mkdir -p data 
cd data 
wget https://database.lichess.org/lichess_db_puzzle.csv.bz2 && bzip2 -d lichess_db_puzzle.csv.bz2 
wget https://raw.githubusercontent.com/lichess-org/lila/master/translation/source/puzzleTheme.xml
cd ..

Usage:

usage: puzzles.py [-h] [--problems PROBLEMS]
                  [--theme {advancedPawn,advantage,anastasiaMate,arabianMate,attackingF2F7,attraction,backRankMate,bishopEndgame,bodenMate,castling,capturingDefender,crushing,doubleBishopMate,dovetailMate,equality,kingsideAttack,clearance,defensiveMove,deflection,discoveredAttack,doubleCheck,endgame,exposedKing,fork,hangingPiece,hookMate,interference,intermezzo,knightEndgame,long,master,masterVsMaster,mate,mateIn1,mateIn2,mateIn3,mateIn4,mateIn5,middlegame,oneMove,opening,pawnEndgame,pin,promotion,queenEndgame,queenRookEndgame,queensideAttack,quietMove,rookEndgame,sacrifice,short,skewer,smotheredMate,superGM,trappedPiece,underPromotion,veryLong,xRayAttack,zugzwang,healthyMix,playerGames,puzzleDownloadInformation} [{advancedPawn,advantage,anastasiaMate,arabianMate,attackingF2F7,attraction,backRankMate,bishopEndgame,bodenMate,castling,capturingDefender,crushing,doubleBishopMate,dovetailMate,equality,kingsideAttack,clearance,defensiveMove,deflection,discoveredAttack,doubleCheck,endgame,exposedKing,fork,hangingPiece,hookMate,interference,intermezzo,knightEndgame,long,master,masterVsMaster,mate,mateIn1,mateIn2,mateIn3,mateIn4,mateIn5,middlegame,oneMove,opening,pawnEndgame,pin,promotion,queenEndgame,queenRookEndgame,queensideAttack,quietMove,rookEndgame,sacrifice,short,skewer,smotheredMate,superGM,trappedPiece,underPromotion,veryLong,xRayAttack,zugzwang,healthyMix,playerGames,puzzleDownloadInformation} ...]]
                  [-m MIN_RATING] [-s STEP_SIZE] [-M MAX_RATING] [--template TEMPLATE] [--front-page FRONT_PAGE] [--output OUTPUT]

Generate latex with chess puzzles from the lichess database

options:
  -h, --help            show this help message and exit
  --problems PROBLEMS, -p PROBLEMS
                        Max number of problems to sample in each theme/rating range.
  --theme {advancedPawn,advantage,anastasiaMate,arabianMate,attackingF2F7,attraction,backRankMate,bishopEndgame,bodenMate,castling,capturingDefender,crushing,doubleBishopMate,dovetailMate,equality,kingsideAttack,clearance,defensiveMove,deflection,discoveredAttack,doubleCheck,endgame,exposedKing,fork,hangingPiece,hookMate,interference,intermezzo,knightEndgame,long,master,masterVsMaster,mate,mateIn1,mateIn2,mateIn3,mateIn4,mateIn5,middlegame,oneMove,opening,pawnEndgame,pin,promotion,queenEndgame,queenRookEndgame,queensideAttack,quietMove,rookEndgame,sacrifice,short,skewer,smotheredMate,superGM,trappedPiece,underPromotion,veryLong,xRayAttack,zugzwang,healthyMix,playerGames,puzzleDownloadInformation} [{advancedPawn,advantage,anastasiaMate,arabianMate,attackingF2F7,attraction,backRankMate,bishopEndgame,bodenMate,castling,capturingDefender,crushing,doubleBishopMate,dovetailMate,equality,kingsideAttack,clearance,defensiveMove,deflection,discoveredAttack,doubleCheck,endgame,exposedKing,fork,hangingPiece,hookMate,interference,intermezzo,knightEndgame,long,master,masterVsMaster,mate,mateIn1,mateIn2,mateIn3,mateIn4,mateIn5,middlegame,oneMove,opening,pawnEndgame,pin,promotion,queenEndgame,queenRookEndgame,queensideAttack,quietMove,rookEndgame,sacrifice,short,skewer,smotheredMate,superGM,trappedPiece,underPromotion,veryLong,xRayAttack,zugzwang,healthyMix,playerGames,puzzleDownloadInformation} ...]
                        Name of the themes to be used.
  -m MIN_RATING, --min-rating MIN_RATING
                        Minimum rating of the problems.
  -s STEP_SIZE, --step-size STEP_SIZE
                        Step size from problem ratings
  -M MAX_RATING, --max-rating MAX_RATING
                        Maximum rating of the problems.
  --template TEMPLATE, -t TEMPLATE
                        Template file to use, if none only the latex content is generated with headers / document class, it can be input later on in any latex document.
  --front-page FRONT_PAGE, -f FRONT_PAGE
                        Path to a pdf frontpage
  --output OUTPUT, -o OUTPUT
                        Output file

Example:

python pgn2tex/puzzles.py --template pgn2tex/templates/book.tex --front-page pgn2tex/templates/frontpage_puzzles.pdf  --output examples/puzzles.tex
cd examples
xelatex puzzles.tex
xelatex puzzles.tex # for table of contents

Code formatting

The code is formatted using Black

Pytorch implementation of the paper Improving Text-to-Image Synthesis Using Contrastive Learning

T2I_CL This is the official Pytorch implementation of the paper Improving Text-to-Image Synthesis Using Contrastive Learning Requirements Linux Python

42 Dec 31, 2022
A naive ROS interface for visualDet3D.

YOLO3D ROS Node This repo contains a Monocular 3D detection Ros node. Base on https://github.com/Owen-Liuyuxuan/visualDet3D All parameters are exposed

Yuxuan Liu 19 Oct 08, 2022
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

ICNet_tensorflow This repo provides a TensorFlow-based implementation of paper "ICNet for Real-Time Semantic Segmentation on High-Resolution Images,"

HsuanKung Yang 406 Nov 27, 2022
For visualizing the dair-v2x-i dataset

3D Detection & Tracking Viewer The project is based on hailanyi/3D-Detection-Tracking-Viewer and is modified, you can find the original version of the

34 Dec 29, 2022
💡 Learnergy is a Python library for energy-based machine learning models.

Learnergy: Energy-based Machine Learners Welcome to Learnergy. Did you ever reach a bottleneck in your computational experiments? Are you tired of imp

Gustavo Rosa 57 Nov 17, 2022
Real time sign language recognition

The proposed work aims at converting american sign language gestures into English that can be understood by everyone in real time.

Mohit Kaushik 6 Jun 13, 2022
This is a Image aid classification software based on python TK library development

This is a Image aid classification software based on python TK library development.

EasonChan 1 Jan 17, 2022
Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

LUNAR Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks" Adam Goodge, Bryan Hooi, Ng See Kiong and

Adam Goodge 25 Dec 28, 2022
LaneDetectionAndLaneKeeping - Lane Detection And Lane Keeping

LaneDetectionAndLaneKeeping This project is part of my bachelor's thesis. The go

5 Jun 27, 2022
Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds

Unsupervised 3D Human Mesh Recovery from Noisy Point Clouds Xinxin Zuo, Sen Wang, Minglun Gong, Li Cheng Prerequisites We have tested the code on Ubun

41 Dec 12, 2022
Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"

From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera ( Antonio Sutera 3 Feb 23, 2022

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting

Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline of pedestrian attribute recognition and multi-label classification.

Jian 79 Dec 18, 2022
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage

AI4Finance Foundation 2.5k Jan 05, 2023
Justmagic - Use a function as a method with this mystic script, like in Nim

justmagic Use a function as a method with this mystic script, like in Nim. Just

witer33 8 Oct 08, 2022
Human4D Dataset tools for processing and visualization

HUMAN4D: A Human-Centric Multimodal Dataset for Motions & Immersive Media HUMAN4D constitutes a large and multimodal 4D dataset that contains a variet

tofis 15 Nov 09, 2022
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

EgonNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale Paper: EgoNN: Egocentric Neural Network for Point Cloud

19 Sep 20, 2022
DimReductionClustering - Dimensionality Reduction + Clustering + Unsupervised Score Metrics

Dimensionality Reduction + Clustering + Unsupervised Score Metrics Introduction

11 Nov 15, 2022
[arXiv'22] Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

Panoptic NeRF Project Page | Paper | Dataset Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation Xiao Fu*, Shangzhan zhang*,

Xiao Fu 111 Dec 16, 2022
SIR model parameter estimation using a novel algorithm for differentiated uniformization.

TenSIR Parameter estimation on epidemic data under the SIR model using a novel algorithm for differentiated uniformization of Markov transition rate m

The Spang Lab 4 Nov 30, 2022
Focal and Global Knowledge Distillation for Detectors

FGD Paper: Focal and Global Knowledge Distillation for Detectors Install MMDetection and MS COCO2017 Our codes are based on MMDetection. Please follow

Mesopotamia 261 Dec 23, 2022