Convert game ISO and archives to CD CHD for emulation on Linux.

Overview

tochd

Convert game ISO and archives to CD CHD for emulation.

What is this program for and what are CHD files?

Automation script written in Python as a frontend to 7z and chdman for converting CD formats into CD CHD.

When you are playing CD based games on RetroArch or possibly on any emulator which supports CHD files, then you might want to convert your ISO and CUE+BIN or GDI files into the CHD format. It has the advantage good compression and produces a single file for each CD. This saves a lot of space and makes organization easier.

To achieve this, the separate program chdman from the MAME tools is invoked, which introduced the CHD format in the first place. Often you need to extract those various CD formats from archives such as .7z or .zip files too. The program 7z is used to extract those files, before handing them over for conversion.

Requirements

The script is written in Python 3.10 for Linux. No other Python module is required. The following external applications are required to run the script:

7z
chdman

On my Manjaro system, they are available in the packages: p7zip mame-tools

Installation

No special installation setup is required, other than the above base requirements. Run the script from any directory you want. Give it the executable bit, rename the script to exclude file extension and put it into a folder that is in the systems $PATH . An installation script "install.sh" is provided, but not required.

If you have an older Python version, then you might want to check the binary release package, which bundles up the script and Python interpreter to create a standalone executable.

Optional: Makefile and PyInstaller (you can ignore this part)

The included "Makefile" is to build the package with the standalone binary. It will create a venv, update stuff in it and run PyInstaller from it. If the process fails, then maybe the system package mpdecimal could be required. At least this was required on my Manjaro system.

Usage

usage: tochd [OPTIONS] [FILE ...]

usage: tochd [-h] [--version] [--list-examples] [--list-formats]
             [--list-programs] [--7z CMD] [--chdman CMD] [-d DIR] [-R] [-p]
             [-t NUM] [-c NUM] [-f] [-q] [-E] [-X] [-]
             [file ...]

This is a commandline application without a graphical interface. The most basic operation is to give it a filename, a list of files or directories to work on. The default behaviour is to convert .iso and .cue+bin and .gdi files to .chd files with same basename in their original folders. Archives such as .7z and .zip are extracted and searched for files to convert. The progress information from 7z and chdman are printed to stdout.

How to use the commandline options

Options start with a dash and everything else is file or folder. In example tochd . will search current working directory for files to convert. Using the option -X like this tochd -X . will just list files without processing them. The option -d DIR specifies a directory to output the created .chd files into. In example tochd -q -d ~/chd ~/Downloads will process all files it can find in the "Downloads" directory and save the resulting .chd files in a folder named "chd" in the users home folder. The -q option means "quiet" and will hide progress information from 7z and chdman, but still print out the current job information from the script itself.

You can also specify filenames directly or use shell globbing * in example to give a list of files over. Usually that is not a problem, but if any filename starts with a dash -, then the filename would be interpreted as an option. But you can use the double dash -- to indicate that anything following the double dash is a filename, regardless what the first character is. In example tochd -- *.7z will process all .7z files in current directory.

Use tochd --help to list all options and their brief description.

Examples

$ tochd --help
$ tochd .
$ tochd -X .
$ tochd ~/Downloads
$ tochd -- *.7z
$ tochd -pfq ~/Downloads | grep 'Completed:' | grep -Eo '/.+$'
$ ls -1 | tochd -

Example output

The following is an output from some files I used to test the program. The failing jobs are supposed to fail, for one or another reason. "Completed" jobs are files that are successfully created. "Failed" jobs point to the path that would have been created.

$ tochd -fq cue iso gdi unsupported .
Job 1     Started:	/home/tuncay/Downloads/cue/Vampire Savior (English v1.0).7z
Job 1   Completed:	/home/tuncay/Downloads/cue/Vampire Savior (English v1.0).chd
Job 2     Started:	/home/tuncay/Downloads/cue/3 x 3 Eyes - Sanjiyan Hensei (ACD, SCD)(JPN).zip
Job 2      Failed:	/home/tuncay/Downloads/cue/3 x 3 Eyes - Sanjiyan Hensei (ACD, SCD)(JPN).chd
Job 3     Started:	/home/tuncay/Downloads/cue/Simpsons Wrestling, The (USA).7z
Job 3   Completed:	/home/tuncay/Downloads/cue/Simpsons Wrestling, The (USA).chd
Job 4     Started:	/home/tuncay/Downloads/cue/Shining Wisdom (USA) (DW0355).rar
Job 4   Completed:	/home/tuncay/Downloads/cue/Shining Wisdom (USA) (DW0355).chd
Job 5     Started:	/home/tuncay/Downloads/iso/Parodius_Portable_JPN_PSP-Caravan.iso
Job 5   Completed:	/home/tuncay/Downloads/iso/Parodius_Portable_JPN_PSP-Caravan.chd
Job 6     Started:	/home/tuncay/Downloads/iso/Bust_A_Move_Deluxe_USA_PSP-pSyPSP.iso
Job 6   Completed:	/home/tuncay/Downloads/iso/Bust_A_Move_Deluxe_USA_PSP-pSyPSP.chd
Job 7     Started:	/home/tuncay/Downloads/gdi/[GDI] Metal Slug 6.7z
Job 7   Completed:	/home/tuncay/Downloads/gdi/[GDI] Metal Slug 6.chd
Job 8     Started:	/home/tuncay/Downloads/gdi/[GDI] Virtua Striker 2 (US).7z
Job 8   Completed:	/home/tuncay/Downloads/gdi/[GDI] Virtua Striker 2 (US).chd
Job 9     Started:	/home/tuncay/Downloads/gdi/GigaWing 2.zip
Job 9   Completed:	/home/tuncay/Downloads/gdi/GigaWing 2.chd
Job 10    Started:	/home/tuncay/Downloads/unsupported/Dragon_Ball_Z_Shin_Budokai_USA_PSP-DMU.rar
Job 10     Failed:	/home/tuncay/Downloads/unsupported/Dragon_Ball_Z_Shin_Budokai_USA_PSP-DMU.chd
Job 11    Started:	/home/tuncay/Downloads/unsupported/ActRaiser 2 (USA) (MSU1) [Hack by Conn & Kurrono v4].7z
Job 11     Failed:	/home/tuncay/Downloads/unsupported/ActRaiser 2 (USA) (MSU1) [Hack by Conn & Kurrono v4].chd
Job 12    Started:	/home/tuncay/Downloads/missingfiles.gdi
Job 12     Failed:	/home/tuncay/Downloads/missingfiles.chd

Cancel jobs

At default Ctrl+c in the terminal will abort current job and start next one. Temporary folders and files are removed automatically, but it can't hurt to check manually for confirmation. Temporary folders are hidden starting with a dot in name.

Multiprocessing support

At default all files are processed sequential, only one at a time. Use option -p (short for --parallel) to activate multithreading with 2 threads. This enables the processing of multiple jobs at the same time. Set number of max threads with option -t (short for --threads).

Drawbacks with multiprocessing / parallel option

  • live progress bars and stderror messages of invoked processes from 7z and chdman cannot be provided anymore, as they would have been overlapping on the terminal, but stdout messages such as statistics are still output
  • user input won't be allowed and is automated as much as possible, because overlapping messages could lead to stuck on waiting for input and losing the context to what file it belongs to are potential problems

Additional notes, workarounds and quirks

If you forcefully terminate the script while working, then unfinished files and especially temporary folders cannot be removed anymore. These files and folders can take up huge amount of space! Temporary folders are hidden starting with a dot "." in the name, followed by the name of archive and some random characters added. Make sure these files are deleted, in case you forcefully terminate the script.

Some archives contain multiple folders, each with ISO files of same name. These are usually intended to copy and overwrite files in a main folder as a meaning of patching. However, the script has no understanding and knowledge about this and would try to convert each .iso file on it's own. As a workaround all .iso files in the archive are ignored when a sheet type such as CUE or GDI files are found.

You might also like...
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

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

MMdnn MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model manage

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

Welcome to the CSIRO Face Analysis SDK. Documentation for the SDK can be found in doc/documentation.html. All code in this SDK is provided according t

tf2onnx - Convert TensorFlow, Keras and Tflite models to ONNX.

tf2onnx converts TensorFlow (tf-1.x or tf-2.x), tf.keras and tflite models to ONNX via command line or python api.

Simple helper library to convert a collection of numpy data to tfrecord, and build a tensorflow dataset from the tfrecord.

numpy2tfrecord Simple helper library to convert a collection of numpy data to tfrecord, and build a tensorflow dataset from the tfrecord. Installation

Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron
Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron

Convert Pytorch model to onnx or tflite, and the converted model can be visualized by Netron

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

OpenVINO Inference API This is a repository for an object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operati

Comments
  • Add GDI as supported file extension for conversion

    Add GDI as supported file extension for conversion

    chdman supports the conversion of GDI files, a format used by Sega Dreamcast emulators. Adding it to the list of supported ISO file extensions is enough to enable conversion of GDI files to CHD.

    opened by farmerbb 4
Releases(v0.9)
  • v0.9(Jul 6, 2022)

  • v0.8(Mar 30, 2022)

    • new: pseudo compiled bundle of the script with pyinstaller to build a standalone executable, available on Releases page
    • new: "Makefile" script for make to create the standalone bundle of Python script with the Python interpreter and package it into an archive
    • changed: runs with default options -X ., if no options provided
    • some little internal optimizations or additions, such as code comments
    Source code(tar.gz)
    Source code(zip)
    tochd-0.8-bin.7z(7.26 MB)
Owner
Tuncay
Tuncay
LinkNet - This repository contains our Torch7 implementation of the network developed by us at e-Lab.

LinkNet This repository contains our Torch7 implementation of the network developed by us at e-Lab. You can go to our blogpost or read the article Lin

e-Lab 158 Nov 11, 2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning

Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning This repository is official Tensorflow implementation of paper: Ensemb

Seunghyun Lee 12 Oct 18, 2022
This repo tries to recognize faces in the dataset you created

YÜZ TANIMA SİSTEMİ Bu repo oluşturacağınız yüz verisetlerini tanımaya çalışan ma

Mehdi KOŞACA 2 Dec 30, 2021
An interactive DNN Model deployed on web that predicts the chance of heart failure for a patient with an accuracy of 98%

Heart Failure Predictor About A Web UI deployed Dense Neural Network Model Made using Tensorflow that predicts whether the patient is healthy or has c

Adit Ahmedabadi 0 Jan 09, 2022
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021)

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi Code

Subhabrata Choudhury 18 Dec 27, 2022
Irrigation controller for Home Assistant

Irrigation Unlimited This integration is for irrigation systems large and small. It can offer some complex arrangements without large and messy script

Robert Cook 176 Jan 02, 2023
Code for our EMNLP 2021 paper "Learning Kernel-Smoothed Machine Translation with Retrieved Examples"

KSTER Code for our EMNLP 2021 paper "Learning Kernel-Smoothed Machine Translation with Retrieved Examples" [paper]. Usage Download the processed datas

jiangqn 23 Nov 24, 2022
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set —— PyTorch implementation This is an unofficial offici

Sicheng Xu 833 Dec 28, 2022
Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation (ICCV 2021) [中文|EN] 概述 本工作主要探索一种高效的多传感器(激光雷达和摄像头)融合点云语义分割方法。现有的多传感器融合方法主要将点云投影

ICE 126 Dec 30, 2022
Reimplementation of Dynamic Multi-scale filters for Semantic Segmentation.

Paddle implementation of Dynamic Multi-scale filters for Semantic Segmentation.

Hongqiang.Wang 2 Nov 01, 2021
A bare-bones Python library for quality diversity optimization.

pyribs Website Source PyPI Conda CI/CD Docs Docs Status Twitter pyribs.org GitHub docs.pyribs.org A bare-bones Python library for quality diversity op

ICAROS 127 Jan 06, 2023
[ICCV2021] Official Pytorch implementation for SDGZSL (Semantics Disentangling for Generalized Zero-Shot Learning)

Semantics Disentangling for Generalized Zero-shot Learning This is the official implementation for paper Zhi Chen, Yadan Luo, Ruihong Qiu, Zi Huang, J

25 Dec 06, 2022
Point Cloud Registration using Representative Overlapping Points.

Point Cloud Registration using Representative Overlapping Points (ROPNet) Abstract 3D point cloud registration is a fundamental task in robotics and c

ZhuLifa 36 Dec 16, 2022
AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning

SimSR Code and dataset for the paper SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning (AAAI-22). Requirements We assum

7 Dec 19, 2022
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Core ML Tools Use coremltools to convert machine learning models from third-party libraries to the Core ML format. The Python package contains the sup

Apple 3k Jan 08, 2023
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

faceswap-GAN Adding Adversarial loss and perceptual loss (VGGface) to deepfakes'(reddit user) auto-encoder architecture. Updates Date Update 2018-08-2

3.2k Dec 30, 2022
Nonnegative spatial factorization for multivariate count data

Nonnegative spatial factorization for multivariate count data This repository contains supporting code to facilitate reproducible analysis. For detail

Will Townes 24 Dec 19, 2022
How to Predict Stock Prices Easily Demo

How-to-Predict-Stock-Prices-Easily-Demo How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube ##Overview This is th

Siraj Raval 752 Nov 16, 2022
Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space"

Sparse Steerable Convolution (SS-Conv) Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and

25 Dec 21, 2022
Free like Freedom

This is all very much a work in progress! More to come! ( We're working on it though! Stay tuned!) Installation Open an Anaconda Prompt (in Windows, o

2.3k Jan 04, 2023