Vpw analyzer - A visual J1850 VPW analyzer written in Python

Overview

VPW Analyzer

A visual J1850 VPW analyzer written in Python

Requires Tkinter, Pandas, serial, and Python3 These can be installed with pip or a package manager.

pip3 install tk pandas serial

Running the program is as simple as pointing the python3 executable to the vpw_analyzer.py file with

python3 vpw_analyzer.py

How to use

Any ELM327 device should be compatible with this, as it uses only basic AT commands to listen to the bus.

You need to enter the serial port into the "OBD Device Serial Port" box. For Windows, this is typically a "COM1" name. Check device manager to get the actual COM port. For Linux, you need to specify the full /dev/tty device path. Once the serial device is entered, press the "Read" button to connect and begin listening to the bus.

There are 2 boxes in main window. The bottom box shows the messages that were received in order. The top box shows unique messages. For example, if duplicate messages are received, then you would see it twice in the bottom box, but only once in the top box. By changing the "Compare First # Bytes" dropdown changes how many bytes of a data payload are compared to determine if a message is unique or not. Most data responses contain 2 bytes that are an acknowledgement and an ID confirmation.

Known Issues

  • Sending messages does not work
  • Exiting software crashes it
Comments
  • ELM commands are not verified

    ELM commands are not verified

    Right now, the software opens the port and sends off commands. Sleep delays help with higher latency connections. Need to write functions to check the response from these requests to improve responsiveness and do some error checking

    enhancement 
    opened by jonofmac 1
  • Stability bug fixes and OBD configuration improvements

    Stability bug fixes and OBD configuration improvements

    Software now checks output of device before sending more commands. Also adds some error checking Some device verification is done. Graceful shutdowns are now possible

    opened by jonofmac 0
  • Sending messages is broken

    Sending messages is broken

    Currently vpw_analyzer does not have the ability to send messages.

    This is primarily due to the fact that the ELM327 command set does not allow a graceful way to send a message without risking losing a message incoming.

    The basic process to send a message while datalogging with a ELM327 device is this:

    1. Configure device
    2. Enter AT MA (monitor all) mode to see all bus traffic (vpw_analyzer's primary mode)
    3. Cancel AT MA mode
    4. Configure desired headers
    5. Send message
    6. Device waits some amount of time to see if it gets a response to the specified headers (ignoring other traffic)
    7. Enter AT MA mode to continue seeing messages

    Steps 3-6 mean that there's a window of time that messages can (and most probably will) be dropped. This is an inherent weakness with the standard ELM327 commands.

    Some more advanced devices (OBDX VT Pro) offer additional modes to allow transmission while receiving messages. The decision needs to be made to support both modes or only the safer OBDX modes.

    enhancement 
    opened by jonofmac 0
  • Replace direct function calls to UI thread with a queue

    Replace direct function calls to UI thread with a queue

    Right now the forked thread directly calls the UI thread's functions. Normally this would cause issues, but somehow it works in python... The correct way would be to use a queue to safely pass data between the threads. This should also improve performance.

    bug enhancement 
    opened by jonofmac 0
  • Message numbers incorrectly tagged

    Message numbers incorrectly tagged

    Seems to be an issue where duplicate messages are not always properly getting recognized as duplicates or the message pointer from the summary to the message ID field is incorrect.

    bug 
    opened by jonofmac 0
  • Crashes when closed

    Crashes when closed

    Trying to close the script often times causes the program to crash or hang.

    I believe this is due to the serial thread not receiving the command to close and causing a hang-up.

    bug 
    opened by jonofmac 2
Releases(v0.2)
  • v0.2(Feb 1, 2022)

    Version 0.2 fixes the following bugs

    • [x] Fixed shutdown issue caused by hanging thread
    • [x] Responses from OBD device are verified now before sending additional commands. Should fix issues with communication
    • [x] Added some OBD device checking (STN, OBDX, and generic ELM checking)

    What's Changed

    • Dev by @jonofmac in https://github.com/jonofmac/vpw_analyzer/pull/5

    New Contributors

    • @jonofmac made their first contribution in https://github.com/jonofmac/vpw_analyzer/pull/5

    Full Changelog: https://github.com/jonofmac/vpw_analyzer/compare/v0.1...v0.2

    Source code(tar.gz)
    Source code(zip)
  • v0.1(Jan 26, 2022)

Indices Matter: Learning to Index for Deep Image Matting

IndexNet Matting This repository includes the official implementation of IndexNet Matting for deep image matting, presented in our paper: Indices Matt

Hao Lu 357 Nov 26, 2022
The repository contain code for building compiler using puthon.

Building Compiler This is a python implementation of JamieBuild's "Super Tiny Compiler" Overview JamieBuilds developed a wonderfully educative compile

Shyam Das Shrestha 1 Nov 21, 2021
Code for classifying international patents based on the text of their titles/abstracts

Patent Classification Goal: To train a machine learning classifier that can automatically classify international patents downloaded from the WIPO webs

Prashanth Rao 1 Nov 08, 2022
pixelNeRF: Neural Radiance Fields from One or Few Images

pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa UC Berkeley arXiv: http://arxiv.org/abs/2

Alex Yu 1k Jan 04, 2023
Scripts and misc. stuff related to the PortSwigger Web Academy

PortSwigger Web Academy Notes Mostly scripts to automate the exploits. Going in the order of the recomended learning path - starting with SQLi. Commun

pageinsec 17 Dec 30, 2022
Just Randoms Cats with python

Random-Cat Just Randoms Cats with python.

OriCode 2 Dec 21, 2021
Instant neural graphics primitives: lightning fast NeRF and more

Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact

NVIDIA Research Projects 10.6k Jan 01, 2023
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li

Jia Research Lab 137 Dec 14, 2022
MegEngine implementation of YOLOX

Introduction YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and ind

旷视天元 MegEngine 77 Nov 22, 2022
University of Rochester 2021 Summer REU focusing on music sentiment transfer using CycleGAN

Music-Sentiment-Transfer University of Rochester 2021 Summer REU focusing on music sentiment transfer using CycleGAN Poster: Music Sentiment Transfer

Miles Sigel 2 Jan 24, 2022
High-Resolution Image Synthesis with Latent Diffusion Models

Latent Diffusion Models Requirements A suitable conda environment named ldm can be created and activated with: conda env create -f environment.yaml co

CompVis Heidelberg 5.6k Jan 04, 2023
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

MNIST-to-SVHN and SVHN-to-MNIST PyTorch Implementation of CycleGAN and Semi-Supervised GAN for Domain Transfer. Prerequites Python 3.5 PyTorch 0.1.12

Yunjey Choi 401 Dec 30, 2022
Implementation for paper LadderNet: Multi-path networks based on U-Net for medical image segmentation

Implementation for paper LadderNet: Multi-path networks based on U-Net for medical image segmentation This implementation is based on orobix implement

Juntang Zhuang 116 Sep 06, 2022
mbrl-lib is a toolbox for facilitating development of Model-Based Reinforcement Learning algorithms.

mbrl-lib is a toolbox for facilitating development of Model-Based Reinforcement Learning algorithms. It provides easily interchangeable modeling and planning components, and a set of utility function

Facebook Research 724 Jan 04, 2023
Additional functionality for use with fastai’s medical imaging module

fmi Adding additional functionality to fastai's medical imaging module To learn more about medical imaging using Fastai you can view my blog Install g

14 Oct 31, 2022
This is a collection of all challenges in HKCERT CTF 2021

香港網絡保安新生代奪旗挑戰賽 2021 (HKCERT CTF 2021) This is a collection of all challenges (and writeups) in HKCERT CTF 2021 Challenges ID Chinese name Name Score S

10 Jan 27, 2022
A mini library for Policy Gradients with Parameter-based Exploration, with reference implementation of the ClipUp optimizer from NNAISENSE.

PGPElib A mini library for Policy Gradients with Parameter-based Exploration [1] and friends. This library serves as a clean re-implementation of the

NNAISENSE 56 Jan 01, 2023
RefineGNN - Iterative refinement graph neural network for antibody sequence-structure co-design (RefineGNN)

Iterative refinement graph neural network for antibody sequence-structure co-des

Wengong Jin 83 Dec 31, 2022
Predicting future trajectories of people in cameras of novel scenarios and views.

Pedestrian Trajectory Prediction Predicting future trajectories of pedestrians in cameras of novel scenarios and views. This repository contains the c

8 Sep 03, 2022
A PaddlePaddle implementation of STGCN with a few modifications in the model architecture in order to forecast traffic jam.

About This repository contains the code of a PaddlePaddle implementation of STGCN based on the paper Spatio-Temporal Graph Convolutional Networks: A D

Tianjian Li 1 Jan 11, 2022