Python rubik's cube solver

Overview

py-rubik_solver

Python solver for a rubik's cube

This program makes a 3D representation of a rubiks cube and solves it step by step.

solving the cube image

Usage

To use this program you need to execute the following commands

  • For 3D visualizations:

    python visualizer.py

  • For statistics:

    python stats.py

Requirements

To use this program you need to install python 3.8.10 or later (although it will probably work on python 3.7) You will also need a recent version of numpy and vpython 7 or later, those can be installed with:

pip install numpy vpython

Implementation

This project is separated in different files, each implementing a different functionality. The content and functionality of each of these files is the following:

configs.py

This file contains general configuration parameters mostly related to the visual representation of the cube:

  • The default colors
  • The number of fps
  • The time taken to reproduce each move
  • Time to wait between moves
  • Speed factor

cube.py

This file contains the Cube class, which implements a data structure for storing the pieces of the cube and some functions for rotating the faces of the cube. It also implements the possibility to shuffle the cube on creation and the possibility of recording a list of moves made in the cube, this is used for generating a solution.

The main functions implemented in this class are:

  • move(move, n=1, record=True): where move should be a string representing the face to move and n is the number of 90 degree rotations to perform (2 is half turn and 3 or -1 is a turn to the other side). The codes used for the move are:

    • "U", "F", "R", "B", "L", "D" for individual faces.
    • "UD", "FB", "RL" for the middle faces.
    • "UU", "FF", "RR" for rotations of the whole cube along this axis.
  • rotate(axis, n=1): this has the same effect as using move with "UU", "FF", "RR" but these moves are never recorded.

  • is_solved(): checks whether the cube equals the solved cube. Keep in mind that this function will return False even if the cube is solved but faces a different way.

  • copy(): creates a deep_copy of the cube. The copy is completely independent of the original cube.

cube_3d.py

This file implements the Cube3D class, which directly inherits from the Cube class. This class overrides the __init__ and move functions to first create all the cubes necessary to represent the rubiks cube in 3D and then animate them each time any face is moved.

cube_solver.py

This file implements the CubeSolver class, which acts as an abstract class for all the other solving algorithms. It only takes care of taking some measures for statistics.

simple_solver.py

This is the first solving algorithm implemented, it's the usual beginer algorithm for anyone learning how to solve the rubiks cube. It's implemented on a really naive way, and it's far from optimal in terms of the number of steps of the solution. It was just a proof of concept and my goal is to implement a better, more efficient version of this class in the future.

In my personal computer this algorithm takes 1.78 ms on average to compute a solution, and the solutions have 205.6 steps on average. Again these results are far from good, but this was just a proof of concept.

The process of the algorithm is separated in different steps, which are:

  • solve_first_cross: solves the cross on the UP face
  • solve_first_corners: solves the corners on the UP face
  • solve_second_row: solves the second "crown" or the second row
  • solve_second_cross: creates a cross on the DOWN face
  • orientate_2nd_cross: positions correctly the pieces inside the cross on the DOWN face
  • solve_second_corners: positions correctly the corners in the DOWN face
  • orientate_2nd_corners: rotates correctly the corners in the DOWN face
  • reorient_cube: rotates the whole cube so that the UP face is facing up and the FRONT face if facing front

stats.py

This file is used to compute some statistics of the cube solutions. At this point this file is used to compute:

  • The average time taken to generate a solution
  • The average number of steps of the generated solutions
  • Some data of the solving process

Keep in mind the data computed will probably change in the future.

util.py

In this file we store different lists and dictionaries used in the project such as a solved cube structure, a list of the directions, a function for generating random moves, ...

visualizer.py

This file is used to launch a 3D representation of the solving process of the cube. It also contains a function to check the progress of the solving algorithm.

Notes

In the future I'm planing to make more solving algorithms as well as an implementation for a physical robot that solves a given cube.

Use this code as you wish, just let me know if you do, I'll love to hear what you are up to!

If you have any doubts/comments/suggestions/anything please let my know via email at [email protected] or at the email in my profile.

Owner
Pablo QB
I'm a student of the double degree on Computer Engineering and Mathematics at UAM university. Here I upload some of my personal proyects just for fun.
Pablo QB
A PyTorch implementation of ECCV2018 Paper: TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes A PyTorch implement of TextSnake: A Flexible Representation for Detecting

Prince Wang 417 Dec 12, 2022
✌️Using this you can control your PC/Laptop volume by Hand Gestures created with Python.

Hand Gesture Volume Controller ✋ Hand recognition 👆 Finger recognition 🔊 you can decrease and increase volume Demo Code Firstly I have created a Mod

Abbas Ataei 19 Nov 17, 2022
The Open Source Framework for Machine Vision

SimpleCV Quick Links: About Installation [Docker] (#docker) Ubuntu Virtual Environment Arch Linux Fedora MacOS Windows Raspberry Pi SimpleCV Shell Vid

Sight Machine 2.6k Dec 31, 2022
OpenMMLab Text Detection, Recognition and Understanding Toolbox

Introduction English | 简体中文 MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the correspondi

OpenMMLab 3k Jan 07, 2023
Vietnamese Language Detection and Recognition

Table of Content Introduction (Khôi viết) Dataset (đổi link thui thành 3k5 ảnh mình) Getting Started (An Viết) Requirements Usage Example Training & E

6 May 27, 2022
Framework for the Complete Gaze Tracking Pipeline

Framework for the Complete Gaze Tracking Pipeline The figure below shows a general representation of the camera-to-screen gaze tracking pipeline [1].

Pascal 20 Jan 06, 2023
This Repository contain Opencv Projects in python

Python-Opencv OpenCV OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was

Yash Sakre 2 Nov 06, 2021
A curated list of awesome synthetic data for text location and recognition

awesome-SynthText A curated list of awesome synthetic data for text location and recognition and OCR datasets. Text location SynthText SynthText_Chine

Tianzhong 283 Jan 05, 2023
pyntcloud is a Python library for working with 3D point clouds.

pyntcloud is a Python library for working with 3D point clouds.

David de la Iglesia Castro 1.2k Jan 07, 2023
This repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

SCUT-CTW1500 Datasets We have updated annotations for both train and test set. Train: 1000 images [images][annos] Additional point annotation for each

Yuliang Liu 600 Dec 18, 2022
Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"

Dataset and Code for RealVSR Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme Xi Yang, Wangmeng Xiang,

Xi Yang 91 Nov 22, 2022
Single Shot Text Detector with Regional Attention

Single Shot Text Detector with Regional Attention Introduction SSTD is initially described in our ICCV 2017 spotlight paper. A third-party implementat

Pan He 215 Dec 07, 2022
Some Boring Research About Products Recognition 、Duplicate Img Detection、Img Stitch、OCR

Products Recognition 介绍 商品识别,围绕在复杂的商场零售场景中,识别出货架图像中的商品信息。主要组成部分: 重复图像检测。【更新进度 4/10】 图像拼接。【更新进度 0/10】 目标检测。【更新进度 0/10】 商品识别。【更新进度 1/10】 OCR。【更新进度 1/10】

zhenjieWang 18 Jan 27, 2022
零样本学习测评基准,中文版

ZeroCLUE 零样本学习测评基准,中文版 零样本学习是AI识别方法之一。 简单来说就是识别从未见过的数据类别,即训练的分类器不仅仅能够识别出训练集中已有的数据类别, 还可以对于来自未见过的类别的数据进行区分。 这是一个很有用的功能,使得计算机能够具有知识迁移的能力,并无需任何训练数据, 很符合现

CLUE benchmark 27 Dec 10, 2022
Text modding tools for FF7R (Final Fantasy VII Remake)

FF7R_text_mod_tools Subtitle modding tools for FF7R (Final Fantasy VII Remake) There are 3 tools I made. make_dualsub_mod.exe: Merges (or swaps) subti

10 Dec 19, 2022
Code for the paper "Controllable Video Captioning with an Exemplar Sentence"

SMCG Code for the paper "Controllable Video Captioning with an Exemplar Sentence" Introduction We investigate a novel and challenging task, namely con

10 Dec 04, 2022
Program created with opencv that allows you to automatically count your repetitions on several fitness exercises.

Virtual partner of gym Description Program created with opencv that allows you to automatically count your repetitions on several fitness exercises li

1 Jan 04, 2022
Textboxes_plusplus implementation with Tensorflow (python)

TextBoxes++-TensorFlow TextBoxes++ re-implementation using tensorflow. This project is greatly inspired by slim project And many functions are modifie

81 Dec 07, 2022
Document Layout Analysis

Eynollah Document Layout Analysis Introduction This tool performs document layout analysis (segmentation) from image data and returns the results as P

QURATOR-SPK 198 Dec 29, 2022
nofacedb/faceprocessor is a face recognition engine for NoFaceDB program complex.

faceprocessor nofacedb/faceprocessor is a face recognition engine for NoFaceDB program complex. Tech faceprocessor uses a number of open source projec

NoFaceDB 3 Sep 06, 2021