Framework for abstracting Amiga debuggers and access to AmigaOS libraries and devices.

Overview

Framework for abstracting Amiga debuggers.

This project provides abstration to control an Amiga remotely using a debugger.

The APIs are not yet stable.

I include an end-user ready GUI tool based on this, amigaXfer, as a preview.

amigaXfer

This is a tool for data transfer between an Amiga and another computer using the serial port. No agent required on Amiga's side, as it uses the kickstart rom's debugger to take control of the Amiga.

There's multiple ways to get into this debugger. A simple one is through Workbench's debug menu, present when wb is loaded using loadwb -debug.

Selecting the Debug, RomWack or SAD menu option in Workbench 1.x/2.x/3.x will then enter the debugger and enable amigaXfer usage.

Alternatively, it is possible to bootstrap an Amiga for which no bootable disks are available.

https://rvalles.net/bootstrapping-an-amiga-without-a-bootable-amiga-floppy.html

amigaXfer runs on multiple platforms. Windows binaries are provided in release binary builds. Python 3.8+, PySerial and wxPython are required if running from sources.

It is able to e.g. read/write/compare floppies, install bootblocks, send/receive files and dump the kickstart rom.

Highlights:

  • Uses the kickstart's serial debugger, and thus it does not require an agent.
  • Supports RomWack (AmigaOS 1.x, 2.x) and SAD (AmigaOS 3.x) builtin debuggers.
  • High speed transfers; 512kbps possible on basic 68000 @ 7MHz A500.
  • Can be used to bootstrap an Amiga for which no bootable disks are available.
  • Checksums (CRC32/ISO-HDLC) used throughout to ensure transfer integrity.
You might also like...
In this project, we'll be making our own screen recorder in Python using some libraries.

Screen Recorder in Python Project Description: In this project, we'll be making our own screen recorder in Python using some libraries. Requirements:

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!

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

Note: This is an alpha (preview) version which is still under refining. nn-Meter is a novel and efficient system to accurately predict the inference l

PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices.

PyTorch-LIT PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With

CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices.
CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices.

CenterFace Introduce CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices. Recent Update 2019.09.

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

Anakin2.0 Welcome to the Anakin GitHub. Anakin is a cross-platform, high-performance inference engine, which is originally developed by Baidu engineer

CondenseNet: Light weighted CNN for mobile devices
CondenseNet: Light weighted CNN for mobile devices

CondenseNets This repository contains the code (in PyTorch) for "CondenseNet: An Efficient DenseNet using Learned Group Convolutions" paper by Gao Hua

Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle

TF Watcher TF Watcher is a simple to use Python package and web app which allows you to monitor 👀 your Machine Learning training or testing process o

Comments
  • Crash with AmigaOS 3.2 / 68060 / Fastmem (I-cache)

    Crash with AmigaOS 3.2 / 68060 / Fastmem (I-cache)

    I'm very impressed with this project. Really marvellous and nicely laid out code.

    I am however seeing a crash when starting this on OS 3.2. I'm not sure if its OS3.2, MMULib or my accelerator card that might be causing the issue. The crash happens randomly transferring and running the snippets.

    OS3.2 has romwack.

    My hardware setup is a full 68060 with MMULib and 128Mb of SDRAM.

    Interestingly I can manually create a script and run AllocMem over and over but no issues. I'm happy to help dig into the whys but some hints might be useful.

    My end goal is to simply have a cross development environment with a serial cable.

    opened by terriblefire 23
Releases(1.1.2)
  • 1.1.2(Aug 21, 2022)

    amigaXfer, an easy-to-use GUI tool for lightning fast disk/file transfers on the serial port with the Amiga.

    Binaries should work on Windows 7 or higher, 32bit or 64bit. Any Amiga that has a Serial Port is supported; Kickstart 34/37/39/40/45/46/47 tested.

    Read the README.txt in the archive for multiple methods of entry to the Amiga ROM debugger.

    If doing the floppyless bootstrap process, as a free and open source alternative to Workbench disks, Nico Bendlin's HelloAmi will boot all the way up to Workbench. He kindly enabled the Workbench's debug menu on my request, which involved some research work on his end.

    Changes

    • SetupDialog
      • Open serial in exclusive mode if possible.
      • Support for interrupting the DEL-sending CrashEntry routine.
    • BootblockTool
      • Remove stale code from debug/optdebug bootblocks.
      • New "noboot" bootblock: Amiga won't boot it. DOS can still access.
    • RomTool
      • Fix: Progressbar progress display was not accurate.
    • Fix: Clear icache on code upload (020+). (Thanks to TerribleFire, issue #1)
    • Improved log output.

    For other systems, use source code. The dependencies are python 3.8+, pyserial and wxpython. For the 68000 code, it is possible to just copy the built objects from the Windows archive. Else, vasm or phxass will build them. A makefile is provided.

    Note that this version has changed the assembly files. Re-copy or rebuild.

    Source code(tar.gz)
    Source code(zip)
    amigaXfer_1.1.2_win32.zip(11.72 MB)
  • 1.1.1(Jul 8, 2021)

    amigaXfer, an easy-to-use GUI tool for lightning fast disk/file transfers on the serial port with the Amiga.

    Binaries should work on Windows 7 or higher, 32bit or 64bit. Any Amiga that has a Serial Port is supported; Kickstart 34/37/39/40/45/46/47 tested.

    Read the README.txt in the archive for multiple methods of entry to the Amiga ROM debugger.

    If doing the floppyless bootstrap process, as a free and open source alternative to Workbench disks, Nico Bendlin's HelloAmi will boot all the way up to Workbench. He kindly enabled the Workbench's debug menu on my request, which involved some research work on his end.

    Changes

    • SetupDialog
      • Detect missing m68k objects.
      • Better UX on connection issues.
    • Bootblock Tool
      • New bootblocks:
        • exitstrap is a hack to actually exit strap's init routine.
        • warmdos is exitstrap + start dos via WarmCapture(). A curiosity.
    • DOS Tool (preview)
      • BUGFIX: Fixed crash with AmigaOS 2.x and setpatch.
      • File transfers can now be interrupted.
    • Improved log output.

    Thanks to Ralf Hoffmann for AmigaOS 2.x issue report and testing fix and Daniel Doran for pre-release testing.

    For other systems, use source code. The dependencies are python 3.8+, pyserial and wxpython. For the 68000 code, it is possible to just copy the built objects from the Windows archive. Else, vasm or phxass will build them.

    Note that the assembler files have changed. Current objects are needed for the new library function calling mechanism (related to the fix for the setpatch issue with AmigaOS 2 mentioned above). Re-copy or rebuild.

    CAREFUL THAT NEWER VERSIONS ARE AVAILABLE. Anyone linking here: Please link the releases page instead of a specific release.

    Source code(tar.gz)
    Source code(zip)
    amigaXfer_1.1.1_win32.zip(11.72 MB)
  • 1.1.0(May 18, 2021)

    amigaXfer, an easy-to-use GUI tool for lightning fast disk/file transfers on the serial port with the Amiga.

    Binaries should work on Windows 7 or higher, 32bit or 64bit. Any Amiga that has a Serial Port is supported; Kickstart 34/37/39/40/45/46 tested.

    Read the README.txt in the archive for multiple methods of entry to the Amiga ROM debugger.

    If doing the floppyless bootstrap process, as a free and open source alternative to Workbench disks, Nico Bendlin's HelloAmi will boot all the way up to Workbench. He kindly enabled the Workbench's debug menu on my request, which involved some research work on his end.

    Changes

    • SetupDialog
      • ResetFirst will reboot machine during connection.
        • Writing floppies is slightly faster in this environment, due to less tasks running.
        • DosTool not usable in this environment due to dos.library being not yet initialized.
        • Allows entry via non-critical guru right click.
    • FloppyTool
      • BUGFIX: Fixed tool not working at all and instead spitting FCh ioerr on some machines.
        • Thanks to Michael Kagerbauer for reporting issue and testing fix.
      • Disk2ADF will now retry reads 5 times before giving up.
      • More user friendly IO error reporting.
      • Thanks to Michael Kagerbauer for feedback on old IOERR reporting.
    • BootblockTool
      • Better error reporting.
    • BUGFIX: Fixed issue in workaround for WRITE_BYTE SAD bug (kick v39).
    • Workaround introduced for SAD reboot function ACK bug.
      • SAD doesn't check TSRE after writing ACK to SERDAT; reboot will interrupt ACK on a fast CPU.
      • Don't bother waiting for ACK.
    • Floppyless Bootstrap should now work on all kickstarts.
      • Tested on kickstart 34/37/39/40/45/46.
    • Size SetupDialog/RomTool windows to contents.
      • Thanks to Alexander Fritsch for feedback/screenshots on window sizing issues with some win7 themes.
    • Cleaned up tool startup/cleanup procedures for all tools.

    For other systems, use source code. The dependencies are python 3.8+, pyserial and wxpython. For the 68000 code, it is possible to just copy the built objects from the Windows archive. Else, vasm or phxass will build them.

    Note that the assembler files have changed. Current objects are needed for the floppyXfer server bugfix. Re-copy or rebuild.

    CAREFUL THAT NEWER VERSIONS ARE AVAILABLE. Anyone linking here: Please link the releases page instead of a specific release.

    Source code(tar.gz)
    Source code(zip)
    amigaXfer_1.1.0_win32.zip(11.61 MB)
  • 1.0.1(Apr 2, 2021)

    amigaXfer, an easy-to-use GUI tool for lightning fast disk/file transfers on the serial port with the Amiga.

    Binaries should work on Windows 7 32bit or higher. Any Amiga that has a Serial Port is supported; Kickstart 34/37/39/40/45 tested.

    Read the README.txt in the archive for multiple methods of entry to the Amiga ROM debugger.

    Changes

    • RomTool
      • Initialization GUI work outside GUI thread issue fixed.
      • Kickstart detection logic is now slightly more clever.
      • Can now be interrupted mid-dumping.
      • Larger transfer blocks, faster dumping.
      • Timer added.
      • Debug text output added.
    • DosTool
      • Target directory can safely contain a trailing slash.
      • Buffer size scales with free RAM, up to 256KB. Faster.
      • Timer added.
    • FloppyTool
      • Progressbar added.
    • UI improvements.
    • Documentation improvements.

    For other systems, use source code. The dependencies are python 3.8+, pyserial and wxpython. For the 68000 code, it is possible to just copy the built objects from the Windows archive. Else, vasm or phxass will build them.

    Note: Reissued win32 zip, due to an issue unpacking it with win7. It does not appear to like advcomp'd zips.

    CAREFUL THAT NEWER VERSIONS ARE AVAILABLE. Anyone linking here: Please link the releases page instead of a specific release.

    Source code(tar.gz)
    Source code(zip)
    amigaXfer_1.0.1-newzip_win32.zip(11.81 MB)
  • 1.0.0(Mar 25, 2021)

    First release of amigaXfer, an easy-to-use GUI tool for lightning fast disk/file transfers on the serial port.

    Binaries should work on Windows 7 32bit or higher.

    Read the README.txt in the archive for multiple methods of entry to the Amiga ROM debugger.

    For other systems, use source code. The dependencies are python 3.8+, pyserial and wxpython. For the 68000 code, it is possible to just copy the built blobs from the Windows archive. Else, vasm or phxass will build them.

    CAREFUL THAT NEWER VERSIONS ARE AVAILABLE. Anyone linking here: Please link the releases page instead of a specific release.

    Source code(tar.gz)
    Source code(zip)
    amigaXfer_1.0.0_win32.zip(11.91 MB)
Owner
Roc Vallès
Roc Vallès
Cognate Detection Repository

Cognate Detection Repository Details This repository contains the data for two publications: Challenge Dataset of Cognates and False Friend Pairs from

Diptesh Kanojia 1 Apr 26, 2022
Points2Surf: Learning Implicit Surfaces from Point Clouds (ECCV 2020 Spotlight)

Points2Surf: Learning Implicit Surfaces from Point Clouds (ECCV 2020 Spotlight)

Philipp Erler 329 Jan 06, 2023
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Hands-on-Machine-Learning 目的 这份笔记旨在帮助中文学习者以一种较快较系统的方式入门机器学习, 是在学习Hands-on Machine Learning with Scikit-Learn and TensorFlow这本书的 时候做的个人笔记: 此项目的可取之处 原书的

Baymax 1.5k Dec 21, 2022
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer

CycleTransGAN-EVC CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer Demo emotion CycleTransGAN CycleTransGAN Cycle

24 Dec 15, 2022
UMPNet: Universal Manipulation Policy Network for Articulated Objects

UMPNet: Universal Manipulation Policy Network for Articulated Objects Zhenjia Xu, Zhanpeng He, Shuran Song Columbia University Robotics and Automation

Columbia Artificial Intelligence and Robotics Lab 33 Dec 03, 2022
Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Seulki Park 70 Jan 03, 2023
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN Which Style Makes Me Attractive? Interpretable Control Discovery an

Bo Li 11 Dec 01, 2022
Portfolio analytics for quants, written in Python

QuantStats: Portfolio analytics for quants QuantStats Python library that performs portfolio profiling, allowing quants and portfolio managers to unde

Ran Aroussi 2.7k Jan 08, 2023
Realistic lighting in ursina!

Ursina Lighting Realistic lighting in ursina! If you want to have realistic lighting in ursina, import the UrsinaLighting.py in your project and use t

17 Jul 07, 2022
Transformers based fully on MLPs

Awesome MLP-based Transformers papers An up-to-date list of Transformers based fully on MLPs without attention! Why this repo? After transformers and

Fawaz Sammani 35 Dec 30, 2022
SimBERT升级版(SimBERTv2)!

RoFormer-Sim RoFormer-Sim,又称SimBERTv2,是我们之前发布的SimBERT模型的升级版。 介绍 https://kexue.fm/archives/8454 训练 tensorflow 1.14 + keras 2.3.1 + bert4keras 0.10.6 下载

318 Dec 31, 2022
Repository for the paper "Online Domain Adaptation for Occupancy Mapping", RSS 2020

RSS 2020 - Online Domain Adaptation for Occupancy Mapping Repository for the paper "Online Domain Adaptation for Occupancy Mapping", Robotics: Science

Anthony 26 Sep 22, 2022
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

OpenCOOD OpenCOOD is an Open COOperative Detection framework for autonomous driving. It is also the official implementation of the ICRA 2022 paper OPV

Runsheng Xu 322 Dec 23, 2022
CLASP - Contrastive Language-Aminoacid Sequence Pretraining

CLASP - Contrastive Language-Aminoacid Sequence Pretraining Repository for creating models pretrained on language and aminoacid sequences similar to C

Michael Pieler 133 Dec 29, 2022
Tutorial on scikit-learn and IPython for parallel machine learning

Parallel Machine Learning with scikit-learn and IPython Video recording of this tutorial given at PyCon in 2013. The tutorial material has been rearra

Olivier Grisel 1.6k Dec 26, 2022
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners This repository is built upon BEiT, thanks very much! Now, we on

Zhiliang Peng 2.3k Jan 04, 2023
Lightweight library to build and train neural networks in Theano

Lasagne Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are: Supports feed-forward networks such as C

Lasagne 3.8k Dec 29, 2022
BarcodeRattler - A Raspberry Pi Powered Barcode Reader to load a game on the Mister FPGA using MBC

Barcode Rattler A Raspberry Pi Powered Barcode Reader to load a game on the Mist

Chrissy 29 Oct 31, 2022
Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools

Deep-rPPG: Camera-based pulse estimation using deep learning tools Deep learning (neural network) based remote photoplethysmography: how to extract pu

Terbe Dániel 138 Dec 17, 2022
Machine Learning Platform for Kubernetes

Reproduce, Automate, Scale your data science. Welcome to Polyaxon, a platform for building, training, and monitoring large scale deep learning applica

polyaxon 3.2k Dec 23, 2022