BarcodeRattler - A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC

Overview

Barcode Rattler

A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC

This is a work in progress and a bit hackery 😅

There are limitations on the MBC side. Some of the computer cores don't work in loading games up. Such as the commodore computers as the cores have changed the menu layout is slightly different.

Currently i have only implemented getting games from out of zip files. You can do direct loading of a rom, just not implemented in my python script to do this.

The CSV file, spaces and other special characters need backslash \ or sometimes double backslash \\ not got around to sorting this out.


Versions

Version Date Description Released
0.2 04/01/2022 Initial commit Yes link
0.2.1 07/01/2022 NFC Support added by Symm No

Raspberry Pi OS

I used the Raspberry Pi OS Lite Release date: October 30th 2021

Installation of files

Files need to be installed in to a folder called /opt/barcoderattler

sudo mkdir /opt/barcoderattler

sudo chown pi /opt/barcoderattler

cd /opt/barcoderattler

You can either get the zip file

wget https://github.com/chris-jh/BarcodeRattler/archive/refs/tags/barcoderattler_v0.2.zip

unzip -j ./barcoderattler_v0.2.zip

or the tar.tgz file

wget https://github.com/chris-jh/BarcodeRattler/archive/refs/tags/barcoderattler_v0.2.tar.gz

tar -zxf ./barcoderattler_v0.2.tar.gz --strip-components=1

or if you have git installed, you can clone the latest

git clone https://github.com/chris-jh/BarcodeRattler.git ./

all the above methods assume you are inside the /opt/barcoderattler folder before running

Installing MBC on Mister

Get the Mister IP Address

Enable SSH on the Mister

Copy the mmsmbc.sh file to Mister in the Fat folder

default password is 1

scp /opt/barcoderattler/mmsmbc.sh [email protected]:/media/fat

ssh into Mister and run the mmsmbc.sh file to install mbc

ssh [email protected]

cd /media/fat

./mmsmbc.sh

Running this file will download the latest release of MBC from https://github.com/pocomane/MiSTer_Batch_Control

It will be installed on your SD Card at /media/fat/Scripts/.barcoderattler

Configuring the PI Camera

Make sure to enable the Camera and SSH on the Pi

You may need to tweak the focus on the Camera, so it can read close up objects, like a barcode.

I had to adjust mine anticlockwise about 1 full turn

Intalling PYTHON LIBS

make sure to

sudo apt-get update

and then run the file barcodesetup.sh (do not sudo, it will ask for password) on the pi, this should install the python libraries that is required

KEYBOARD USB Permissions

A udev rule is required so that the pi user can have access to the USB events for the keyboard

create a file called (you will have to sudo nano)

/etc/udev/rules.d/99-hidraw-permissions.rules

and this should be inside it

KERNEL=="hidraw*", SUBSYSTEM=="hidraw", MODE="0664", GROUP="plugdev"

The barcode scanner will need to be in USB Keyboard mode, it also needs to be the first usb keyboard device to be plugged in, or the only usb keyboard device plugged.

The barcode device i bought was this one from amazon.

https://www.amazon.co.uk/gp/product/B00Y83TXOE

NFC Support

NFC Support has been added by Symm.

Devices that are supported can be seen here Supported Devices

Set NFC_ID to the one you have from the list inside the barcoderattler_nfc.py file

There is no service or start file for it yet, but you can modify the startrattler bash script and change to run the barcoderattler_nfc.py

CSV File

The file is made up of the following headers

BARCODE,CORE,ZIP,FILE,TMP

Field Description Example
BARCODE The Barcode 123456789
Core Name of the core to run GENESIS
ZIP Location of the Zip File. Currently this version expects the games to be inside a zip file /media/fat/Games/Genesis/GenesisGames.zip
FILE Location of the game inside the zip file US\Q-Z\Street\ Fighter\ II\ CE.md
TMP A temporary location to unzip the game to /tmp/game.md

any special characters in the file path including spaces needs the backslash
some need double backslash such as the [ ]

To see what the core names are on mbc, you need to ssh into the MisterFGPA and run

/media/fat/Scripts/.barcoderattler/mbc list_core

The core name is the first field

Running

There are two python script files

  1. barcoderattler.py

This one uses the Barcode Hand Scanner, make sure to scan factory reset code in the book and then scan the USB Keyboard.

  1. barcoderattler_camera.py

This is for using the Pi Camera on a Pi 3

In each of the python scripts there is an area at the top to Specify your Mister IP Address and to change the password is different from the default 1. You can also change the location of the CSV file to read and also if you put the mbc in a different directory also.


If you are going to use the Hand Scanner, this needs to be the first keyboard device. Remove any keyboards, and then plug in the barcode hand scanner.

You should do any interaction with the Pi via SSH


To run each version, only one should be run, from the command line type either

  1. /opt/barcoderattler/startrattler

    To start the Barcode Hand Scanner version

  2. /opt/barcoderattler/startrattler_camera

    To start the Barcode scanning via the Pi Camera


If you want to enable the barcode rattler on start up, run either of the following

  1. /opt/barcoderattler/enable_barcode_scanner

    To enable the Barcode Hand Scanner on boot up

  2. /opt/barcoderattler/enable_camera_barcode_scanner

    To enable the Barcode Scanning via the Pi Camer on boot up


To start and stop the service

  1. sudo service start barcoderattler

    To Start the Barcode Hand Scanner

  2. sudo service stop barcoderattler

    To Stop the Barcode Hand Scanner

  3. sudo service start barcoderattler

    To Start the Barcode Camera Scanner

  4. sudo service stop barcoderattler

    To Stop the Barcode Camera Scanner


To Stop the services for starting at boot up

Run

sudo systemctl disable barcoderattler_camera.service

sudo systemctl disable barcoderattler.service

You might also like...
Cl datasets - PyTorch image dataloaders and utility functions to load datasets for supervised continual learning

Continual learning datasets Introduction This repository contains PyTorch image

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Squirrel Core Share, load, and transform data in a collaborative, flexible, and efficient way What is Squirrel? Squirrel is a Python library that enab

A facial recognition doorbell system using a Raspberry Pi

Facial Recognition Doorbell This project expands on the person-detecting doorbell system to allow it to identify faces, and announce names accordingly

Control-Robot-Arm-using-PS4-Controller - A Robotic Arm based on Raspberry Pi and Arduino that controlled by PS4 Controller

Control-Robot-Arm-using-PS4-Controller You can see all details about this Robot

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Serpent.AI - Game Agent Framework (Python) Update: Revival (May 2020) Development work has resumed on the framework with the aim of bringing it into 2

Gesture-controlled Video Game. Just swing your finger and play the game without touching your PC
Gesture-controlled Video Game. Just swing your finger and play the game without touching your PC

Gesture Controlled Video Game Detailed Blog : https://www.analyticsvidhya.com/blog/2021/06/gesture-controlled-video-game/ Introduction This project is

Hand-distance-measurement-game - Hand Distance Measurement Game
Hand-distance-measurement-game - Hand Distance Measurement Game

Hand Distance Measurement Game This is program is made to calculate the distance

Dcf-game-infrastructure-public - Contains all the components necessary to run a DC finals (attack-defense CTF) game from OOO

dcf-game-infrastructure All the components necessary to run a game of the OOO DC

Torchlight2 lan game server tool - A message forwarding tool for Torchlight 2 lan game

Torchlight 2 Lan Game Server Tool A message forwarding tool for Torchlight 2 lan

Comments
  • Initial script for reading NFC tags

    Initial script for reading NFC tags

    I hacked together support for reading NFC tags 😄

    Set NFC_ID to the one you have from the list of Supported devices and run ./barcoderattler_nfc.py

    I've not created any service startup scripts etc but can add if there is interest

    opened by symm 1
  • Idea: Machine Vision to identify cart based on box art/cartridge label

    Idea: Machine Vision to identify cart based on box art/cartridge label

    Could be a way to take it even further in a future project if you wanted to learn more. You could train the model on the libretro/retroarch cover art images available online. Just a thought.

    opened by birdybro 0
  • Ideas for additional barcode support

    Ideas for additional barcode support

    Hi,

    The zxing barcode scanner on Android can be launched with a custom URL protocol which would allow you to use an Android phone as the scanner: https://stackoverflow.com/questions/13347145/android-barcode-scanner-integration-with-web-page

    Another possibility is to print QR codes with a custom URL that goes to a .local hostname, allowing any phone to talk to a local Pi on the network.

    Both require some network level access, either through Zeroconf .local domains or perhaps via a publicly accessible hostname.

    The .local method would be useful if you have a "public wifi" that people can use, or just setup the Pi as an AP and allow people to connect to it for this purpose. That's probably the most robust solution for passers by. If this is used in-home then the .local solution on your home network is sufficient.

    opened by drwonky 1
  • A simple fix for slow CSV searching

    A simple fix for slow CSV searching

    I noticed in Neil's demo on YT that the time between scanning seemed to be pretty slow and highly variable. After he mentioned the barcodes were being stored in CSV, I rightly assumed that the CSV was being parsed and searched through every time a code is scanned. This is super inefficient, and only provides one small advantage in that simply uploading a new csv will immediately make new titles available to scan.

    This PR switches things around to only load the CSV once when the script loads, and then does a list comprehension on it to build an index by barcode. I haven't tested it (I don't have a barcode scanner), but it should allow for lightning fast lookups. There are only three caveats to this approach:

    1. All of the barcodes and other data in the CSV will be stored in memory. As long as the number of columns in the CSV doesn't get ridiculous, I can't see this being an actual problem on a RPi.

    2. Each row in the CSV will need a unique barcode. Really, this was already the case as the current script will only ever return the data for the first barcode it finds. After this change, if there are duplicates I believe you'd only get the data for the LAST duplicate in the file.

    3. The script will need to be restarted whenever the CSV is updated.

    EDIT: I didn't notice a script had also been added for NFCs. The same change could easily be made to that script as well.

    opened by raelik 4
Releases(barcoderattler_v0.2)
Owner
Chrissy
Chrissy
Official TensorFlow code for the forthcoming paper

~ Efficient-CapsNet ~ Are you tired of over inflated and overused convolutional neural networks? You're right! It's time for CAPSULES :)

Vittorio Mazzia 203 Jan 08, 2023
Repository for MeshTalk supplemental material and code once the (already approved) 16 GHS captures our lab will make publicly available are released.

meshtalk This repository contains code to run MeshTalk for face animation from audio. If you use MeshTalk, please cite @inproceedings{richard2021mesht

Meta Research 221 Jan 06, 2023
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️⚠️

Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples This repository is the official implementation of "Tow

Sungyoon Lee 4 Jul 12, 2022
Project NII pytorch scripts

project-NII-pytorch-scripts By Xin Wang, National Institute of Informatics, since 2021 I am a new pytorch user. If you have any suggestions or questio

Yamagishi and Echizen Laboratories, National Institute of Informatics 184 Dec 23, 2022
Official PyTorch Implementation for InfoSwap: Information Bottleneck Disentanglement for Identity Swapping

InfoSwap: Information Bottleneck Disentanglement for Identity Swapping Code usage Please check out the user manual page. Paper Gege Gao, Huaibo Huang,

Grace Hešeri 56 Dec 20, 2022
The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space

The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space

John Salib 2 Jan 30, 2022
Greedy Gaussian Segmentation

GGS Greedy Gaussian Segmentation (GGS) is a Python solver for efficiently segmenting multivariate time series data. For implementation details, please

Stanford University Convex Optimization Group 72 Dec 07, 2022
Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.

This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.

peng gao 42 Nov 26, 2022
Code of paper "CDFI: Compression-Driven Network Design for Frame Interpolation", CVPR 2021

CDFI (Compression-Driven-Frame-Interpolation) [Paper] (Coming soon...) | [arXiv] Tianyu Ding*, Luming Liang*, Zhihui Zhu, Ilya Zharkov IEEE Conference

Tianyu Ding 95 Dec 04, 2022
Deep Halftoning with Reversible Binary Pattern

Deep Halftoning with Reversible Binary Pattern ICCV Paper | Project Website | BibTex Overview Existing halftoning algorithms usually drop colors and f

Menghan Xia 17 Nov 22, 2022
Easily benchmark PyTorch model FLOPs, latency, throughput, max allocated memory and energy consumption

⏱ pytorch-benchmark Easily benchmark model inference FLOPs, latency, throughput, max allocated memory and energy consumption Install pip install pytor

Lukas Hedegaard 21 Dec 22, 2022
The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Directed Graph Contrastive Learning Paper | Poster | Supplementary The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL). In this

Tong Zekun 28 Jan 08, 2023
CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.

SMPLify-XMC This repo is part of our project: On Self-Contact and Human Pose. [Project Page] [Paper] [MPI Project Page] License Software Copyright Lic

Lea Müller 83 Dec 14, 2022
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Ro

Meta Research 1.2k Jan 02, 2023
《Deep Single Portrait Image Relighting》(ICCV 2019)

Ratio Image Based Rendering for Deep Single-Image Portrait Relighting [Project Page] This is part of the Deep Portrait Relighting project. If you find

62 Dec 21, 2022
The pytorch implementation of DG-Font: Deformable Generative Networks for Unsupervised Font Generation

DG-Font: Deformable Generative Networks for Unsupervised Font Generation The source code for 'DG-Font: Deformable Generative Networks for Unsupervised

130 Dec 05, 2022
Generative Handwriting using LSTM Mixture Density Network with TensorFlow

Generative Handwriting Demo using TensorFlow An attempt to implement the random handwriting generation portion of Alex Graves' paper. See my blog post

hardmaru 686 Nov 24, 2022
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

PyStan NOTE: This documentation describes a BETA release of PyStan 3. PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is

Stan 229 Dec 29, 2022
Learned model to estimate number of distinct values (NDV) of a population using a small sample.

Learned NDV estimator Learned model to estimate number of distinct values (NDV) of a population using a small sample. The model approximates the maxim

2 Nov 21, 2022
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible

Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible, to be the most reliable with the least com

Nikolas B Virionis 2 Aug 01, 2022