Vpw analyzer - A visual J1850 VPW analyzer written in Python

Related tags

Deep Learningvpw_analyzer
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)

Owner
GitHub Repository
Using Machine Learning to Create High-Res Fine Art

BIG.art: Using Machine Learning to Create High-Res Fine Art How to use GLIDE and BSRGAN to create ultra-high-resolution paintings with fine details By

Robert A. Gonsalves 13 Nov 27, 2022
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

Official repository of OFA. Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

OFA Sys 1.4k Jan 08, 2023
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition This repository contains code for the CVPR2021 paper "Patch-NetV

QVPR 368 Jan 06, 2023
The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory

Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of

1 Jan 27, 2022
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Exposure: A White-Box Photo Post-Processing Framework ACM Transactions on Graphics (presented at SIGGRAPH 2018) Yuanming Hu1,2, Hao He1,2, Chenxi Xu1,

Yuanming Hu 719 Dec 29, 2022
StorSeismic: An approach to pre-train a neural network to store seismic data features

StorSeismic: An approach to pre-train a neural network to store seismic data features This repository contains codes and resources to reproduce experi

Seismic Wave Analysis Group 11 Dec 05, 2022
A small library for doing fluid simulation with neural networks.

Neural Fluid Fields This is a small library for doing fluid simulation with neural fields. Check out our review paper, Neural Fields in Visual Computi

Towaki 23 Jun 23, 2022
Data pipelines for both TensorFlow and PyTorch!

rapidnlp-datasets Data pipelines for both TensorFlow and PyTorch ! If you want to load public datasets, try: tensorflow/datasets huggingface/datasets

1 Dec 08, 2021
Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

COTREC Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'. Requirements: Python 3.7, Pytorch 1.6.0 Best Hype

Xin Xia 42 Dec 09, 2022
[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective [PDF] Wuyang Chen, Xinyu Gong, Zhangyang Wang In ICLR 2

VITA 156 Nov 28, 2022
MultiTaskLearning - Multi Task Learning for 3D segmentation

Multi Task Learning for 3D segmentation Perception stack of an Autonomous Drivin

2 Sep 22, 2022
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

PyImpetus PyImpetus is a Markov Blanket based feature selection algorithm that selects a subset of features by considering their performance both indi

Atif Hassan 103 Dec 14, 2022
Face recognition project by matching the features extracted using SIFT.

MV_FaceDetectionWithSIFT Face recognition project by matching the features extracted using SIFT. By : Aria Radmehr Professor : Ali Amiri Dependencies

Aria Radmehr 4 May 31, 2022
Kaggle | 9th place single model solution for TGS Salt Identification Challenge

UNet for segmenting salt deposits from seismic images with PyTorch. General We, tugstugi and xuyuan, have participated in the Kaggle competition TGS S

Erdene-Ochir Tuguldur 276 Dec 20, 2022
We simulate traveling back in time with a modern camera to rephotograph famous historical subjects.

[SIGGRAPH Asia 2021] Time-Travel Rephotography [Project Website] Many historical people were only ever captured by old, faded, black and white photos,

298 Jan 02, 2023
Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network

Predicting Auction Sale Price using the kaggle bulldozer auction sales data: Modeling with Ensembles vs Neural Network The performances of tree ensemb

Mustapha Unubi Momoh 2 Sep 13, 2022
Inteligência artificial criada para realizar interação social com idosos.

IA SONIA 4.0 A SONIA foi inspirada no assistente mais famoso do mundo e muito bem conhecido JARVIS. Todo mundo algum dia ja sonhou em ter o seu própri

Vinícius Azevedo 2 Oct 21, 2021
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection Acknowledgement We implement our model, BtcDet, based on [OpenPcdet 0.3.0]. Insta

Qiangeng Xu 163 Dec 19, 2022
Workshop Materials Delivered on 28/02/2022

intro-to-cnn-p1 Repo for hosting workshop materials delivered on 28/02/2022 Questions you will answer in this workshop Learning Objectives What are co

Beginners Machine Learning 5 Feb 28, 2022
Deep Compression for Dense Point Cloud Maps.

DEPOCO This repository implements the algorithms described in our paper Deep Compression for Dense Point Cloud Maps. How to get started (using Docker)

Photogrammetry & Robotics Bonn 67 Dec 06, 2022