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
Yolov5 deepsort inference,使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中

使用YOLOv5+Deepsort实现车辆行人追踪和计数,代码封装成一个Detector类,更容易嵌入到自己的项目中。

813 Dec 31, 2022
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight) Abstract Due to the limited and even imbalanced dat

Hanzhe Hu 99 Dec 12, 2022
Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

Swin-Transformer-Tensorflow A direct translation of the official PyTorch implementation of "Swin Transformer: Hierarchical Vision Transformer using Sh

52 Dec 29, 2022
An investigation project for SISR.

SISR-Survey An investigation project for SISR. This repository is an official project of the paper "From Beginner to Master: A Survey for Deep Learnin

Juncheng Li 79 Oct 20, 2022
Angle data is a simple data type.

angledat Angle data is a simple data type. Installing + using Put angledat.py in the main dir of your project. Import it and use. Comments Comments st

1 Jan 05, 2022
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021) This repository is for BAAF-Net introduce

90 Dec 29, 2022
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

tonne 1.4k Dec 29, 2022
A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.

A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.

George Gunter 4 Nov 14, 2022
PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to handle and build

simple, elegant and safe Introduction PassAPI is a password generator in hash format and fully developed in Python, with the aim of teaching how to ha

Johnsz 2 Mar 02, 2022
Multi-Stage Progressive Image Restoration

Multi-Stage Progressive Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Sh

Syed Waqas Zamir 859 Dec 22, 2022
Breast Cancer Detection 🔬 ITI "AI_Pro" Graduation Project

BreastCancerDetection - This program is designed to predict two severity of abnormalities associated with breast cancer cells: benign and malignant. Mammograms from MIAS is preprocessed and features

6 Nov 29, 2022
keyframes-CNN-RNN(action recognition)

keyframes-CNN-RNN(action recognition) Environment: python=3.7 pytorch=1.2 Datasets: Following the format of UCF101 action recognition. Run steps: Mo

4 Feb 09, 2022
Code + pre-trained models for the paper Keeping Your Eye on the Ball Trajectory Attention in Video Transformers

Motionformer This is an official pytorch implementation of paper Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. In this rep

Facebook Research 192 Dec 23, 2022
Script utilizando OpenCV e modelo Machine Learning para detectar o uso de máscaras.

Reconhecendo máscaras Este repositório contém um script em Python3 que reconhece se um rosto está ou não portando uma máscara! O código utiliza da bib

Maria Eduarda de Azevedo Silva 168 Oct 20, 2022
OneShot Learning-based hotword detection.

EfficientWord-Net Hotword detection based on one-shot learning Home assistants require special phrases called hotwords to get activated (eg:"ok google

ANT-BRaiN 102 Dec 25, 2022
A Kitti Road Segmentation model implemented in tensorflow.

KittiSeg KittiSeg performs segmentation of roads by utilizing an FCN based model. The model achieved first place on the Kitti Road Detection Benchmark

Marvin Teichmann 890 Jan 04, 2023
MQBench Quantization Aware Training with PyTorch

MQBench Quantization Aware Training with PyTorch I am using MQBench(Model Quantization Benchmark)(http://mqbench.tech/) to quantize the model for depl

Ling Zhang 29 Nov 18, 2022
An Open Source Machine Learning Framework for Everyone

Documentation TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, a

170.1k Jan 05, 2023
[CVPR'21] Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation

Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Y

118 Dec 26, 2022
ShapeGlot: Learning Language for Shape Differentiation

ShapeGlot: Learning Language for Shape Differentiation Created by Panos Achlioptas, Judy Fan, Robert X.D. Hawkins, Noah D. Goodman, Leonidas J. Guibas

Panos 32 Dec 23, 2022