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
Code for the paper "Balancing Training for Multilingual Neural Machine Translation, ACL 2020"

Balancing Training for Multilingual Neural Machine Translation Implementation of the paper Balancing Training for Multilingual Neural Machine Translat

Xinyi Wang 21 May 18, 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)

MetaShift: A Dataset of Datasets for Evaluating Distribution Shifts and Training Conflicts This repo provides the PyTorch source code of our paper: Me

88 Jan 04, 2023
Demo code for paper "Learning optical flow from still images", CVPR 2021.

Depthstillation Demo code for "Learning optical flow from still images", CVPR 2021. [Project page] - [Paper] - [Supplementary] This code is provided t

130 Dec 25, 2022
Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,

FSRA This repository contains the dataset link and the code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV

Dmmm 32 Dec 18, 2022
The official github repository for Towards Continual Knowledge Learning of Language Models

Towards Continual Knowledge Learning of Language Models This is the official github repository for Towards Continual Knowledge Learning of Language Mo

Joel Jang | 장요엘 65 Jan 07, 2023
Repository for RNNs using TensorFlow and Keras - LSTM and GRU Implementation from Scratch - Simple Classification and Regression Problem using RNNs

RNN 01- RNN_Classification Simple RNN training for classification task of 3 signal: Sine, Square, Triangle. 02- RNN_Regression Simple RNN training for

Nahid Ebrahimian 13 Dec 13, 2022
The official repo of the CVPR 2021 paper Group Collaborative Learning for Co-Salient Object Detection .

GCoNet The official repo of the CVPR 2021 paper Group Collaborative Learning for Co-Salient Object Detection . Trained model Download final_gconet.pth

Qi Fan 46 Nov 17, 2022
Analyses of the individual electric field magnitudes with Roast.

Aloi Davide - PhD Student (UoB) Analysis of electric field magnitudes (wp2a dataset only at the moment) and correlation analysis with Dynamic Causal M

Davide Aloi 7 Dec 15, 2022
[ICCV-2021] An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation

An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation (ICCV 2021) Introduction This is an official pytorch implemen

rongchangxie 42 Jan 04, 2023
Old Photo Restoration (Official PyTorch Implementation)

Bringing Old Photo Back to Life (CVPR 2020 oral)

Microsoft 11.3k Dec 30, 2022
BabelCalib: A Universal Approach to Calibrating Central Cameras. In ICCV (2021)

BabelCalib: A Universal Approach to Calibrating Central Cameras This repository contains the MATLAB implementation of the BabelCalib calibration frame

Yaroslava Lochman 55 Dec 30, 2022
Using deep actor-critic model to learn best strategies in pair trading

Deep-Reinforcement-Learning-in-Stock-Trading Using deep actor-critic model to learn best strategies in pair trading Abstract Partially observed Markov

281 Dec 09, 2022
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes

111 Dec 29, 2022
A python3 tool to take a 360 degree survey of the RF spectrum (hamlib + rotctld + RTL-SDR/HackRF)

RF Light House (rflh) A python script to use a rotor and a SDR device (RTL-SDR or HackRF One) to measure the RF level around and get a data set and be

Pavel Milanes (CO7WT) 11 Dec 13, 2022
A Dying Light 2 (DL2) PAKFile Utility for Modders and Mod Makers.

Dying Light 2 PAKFile Utility A Dying Light 2 (DL2) PAKFile Utility for Modders and Mod Makers. This tool aims to make PAKFile (.pak files) modding a

RHQ Online 12 Aug 26, 2022
Implementation of paper "Graph Condensation for Graph Neural Networks"

GCond A PyTorch implementation of paper "Graph Condensation for Graph Neural Networks" Code will be released soon. Stay tuned :) Abstract We propose a

Wei Jin 66 Dec 04, 2022
A bunch of random PyTorch models using PyTorch's C++ frontend

PyTorch Deep Learning Models using the C++ frontend Gettting started Clone the repo 1. https://github.com/mrdvince/pytorchcpp 2. cd fashionmnist or

Vince 0 Jul 13, 2021
Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning".

ERICA Source code and dataset for ACL2021 paper: "ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive L

THUNLP 75 Nov 02, 2022
Colab notebook and additional materials for Python-driven analysis of redlining data in Philadelphia

RedliningExploration The Google Colaboratory file contained in this repository contains work inspired by a project on educational inequality in the Ph

Benjamin Warren 1 Jan 20, 2022