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)

ColossalAI-Examples - Examples of training models with hybrid parallelism using ColossalAI

ColossalAI-Examples This repository contains examples of training models with Co

HPC-AI Tech 185 Jan 09, 2023
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Classifier-Balancing This repository contains code for the paper: Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang, Sa

Facebook Research 820 Dec 26, 2022
RL and distillation in CARLA using a factorized world model

World on Rails Learning to drive from a world on rails Dian Chen, Vladlen Koltun, Philipp Krähenbühl, arXiv techical report (arXiv 2105.00636) This re

Dian Chen 131 Dec 16, 2022
Decorators for maximizing memory utilization with PyTorch & CUDA

torch-max-mem This package provides decorators for memory utilization maximization with PyTorch and CUDA by starting with a maximum parameter size and

Max Berrendorf 10 May 02, 2022
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Mish: Self Regularized Non-Monotonic Activation Function BMVC 2020 (Official Paper) Notes: (Click to expand) A considerably faster version based on CU

Xa9aX ツ 1.2k Dec 29, 2022
Whisper is a file-based time-series database format for Graphite.

Whisper Overview Whisper is one of three components within the Graphite project: Graphite-Web, a Django-based web application that renders graphs and

Graphite Project 1.2k Dec 25, 2022
Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP.

Hire-Wave-MLP.pytorch Implementation of Hire-MLP: Vision MLP via Hierarchical Rearrangement and An Image Patch is a Wave: Phase-Aware Vision MLP Resul

Nevermore 29 Oct 28, 2022
TensorFlow implementation for Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How TensorFlow implementation for Bayesian Modeling and Unce

Shen Lab at Texas A&M University 8 Sep 02, 2022
Wileless-PDGNet Implementation

Wileless-PDGNet Implementation This repo is related to the following paper: Boning Li, Ananthram Swami, and Santiago Segarra, "Power allocation for wi

6 Oct 04, 2022
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral

Human Pose Regression with Residual Log-likelihood Estimation [Paper] [arXiv] [Project Page] Human Pose Regression with Residual Log-likelihood Estima

JeffLi 347 Dec 24, 2022
Object detection (YOLO) with pytorch, OpenCV and python

Real Time Object/Face Detection Using YOLO-v3 This project implements a real time object and face detection using YOLO algorithm. You only look once,

1 Aug 04, 2022
Official Pytorch implementation of C3-GAN

Official pytorch implemenation of C3-GAN Contrastive Fine-grained Class Clustering via Generative Adversarial Networks [Paper] Authors: Yunji Kim, Jun

NAVER AI 114 Dec 02, 2022
Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution

Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution Abstract Within the Latin (and ancient Greek) production, it is well

4 Dec 03, 2022
Improving Transferability of Representations via Augmentation-Aware Self-Supervision

Improving Transferability of Representations via Augmentation-Aware Self-Supervision Accepted to NeurIPS 2021 TL;DR: Learning augmentation-aware infor

hankook 38 Sep 16, 2022
Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

7 Jun 22, 2022
TResNet: High Performance GPU-Dedicated Architecture

TResNet: High Performance GPU-Dedicated Architecture paperV2 | pretrained models Official PyTorch Implementation Tal Ridnik, Hussam Lawen, Asaf Noy, I

426 Dec 28, 2022
A transformer which can randomly augment VOC format dataset (both image and bbox) online.

VocAug It is difficult to find a script which can augment VOC-format dataset, especially the bbox. Or find a script needs complex requirements so it i

Coder.AN 1 Mar 05, 2022
Code repository for "Free View Synthesis", ECCV 2020.

Free View Synthesis Code repository for "Free View Synthesis", ECCV 2020. Setup Install the following Python packages in your Python environment - num

Intelligent Systems Lab Org 253 Dec 07, 2022
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici

24 Dec 31, 2022
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring

2 Dec 28, 2021