A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required.

Overview

Fluke289_data_access A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required. Created from information provided in Fluke Remote IR documentaton cited in eevblog threads. Buy a Remote Interface from Fluke to access meter data, some come with FlukeView--a form-completion application--that is well worth the money for paid work by skilled technicians.

Getting data from an instrument display for logging can be difficult, if not impossible, without a pathway into the device via GPIB, TCPIP, or other comm port. Messing with JTAG or sniffing the signal is far beyond the capabilities of most folks interested in using the data obtained, so "Hats off" to authors of software for reading and fetching data from an operating meter during measurement. Thanks as well to manufacturers who have provided logging capabilities in their instruments and made them accessible to users. That is the modern way . . .

Some meters are far more locked-down for reasons of security and protection of the customer's perception of the integrity of the data collected. Take Fluke, for example (see Dave's video on why Fluke meters are worth the money, etc.) and the 28X series of meters like my 289. The Fluke business model is that data collection is under the control of the firmware and is presented to the user via remote access thru form-completion software. After a technician logs voltage measurements from some industrial gear over several days, there is a printout with Fluke's name on it to support the log with timestamps for every sample and a whole lot more. Yes, the data is also available for export to CSV files and from there to any analysis, but only via the gateway FormView.

Other than the obvious, why is this a problem? Well, the Fluke 289 has the ability to capture data unattended for days at a time under battery power and preserve a detailed log for later retrieval. It can do this because it sleeps between samples using precious little power and does not rely on disks or tape for storage.

Other logging meters (Uni-T 61E, for example) will output readings to a PC and MooshiMeter logs via Bluetooth, also to another device. Not even in the same league as Fluke 28X series.

What would be better would be the ability to access the Fluke 289 recorded data directly, 'read-only' of course, much in the same way as getting data from a modern Keithley or Keysight bench meter. To that end, I'm contributing to a long-standing 289 eevblog forum thread:https://www.eevblog.com/forum/reviews/going-further-with-the-fluke-289

This is not an exercise in 'reverse-engineering' or alternative firmware creation, just a little probing with Python into features documented in the Remote Interface Specification using a Fluke IR USB interface.

A PyTorch Implementation of "Neural Arithmetic Logic Units"

Neural Arithmetic Logic Units [WIP] This is a PyTorch implementation of Neural Arithmetic Logic Units by Andrew Trask, Felix Hill, Scott Reed, Jack Ra

Kevin Zakka 181 Nov 18, 2022
Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

corn-ordinal-neuralnet This repository contains the orginal model code and experiment logs for the paper "Deep Neural Networks for Rank Consistent Ord

Raschka Research Group 14 Dec 27, 2022
A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.

SOFA This repository is the implementation of SOFA, the Simulator for OFfline leArning and evaluation. Keeping Dataset Biases out of the Simulation: A

22 Nov 23, 2022
This repository implements Douzero's interface to IGCA.

douzero-interface-for-ICGA This repository implements Douzero's interface to ICGA. ./douzero: This directory stores Doudizhu AI projects. ./interface:

zhanggenjin 4 Aug 07, 2022
Kaggle Lyft Motion Prediction for Autonomous Vehicles 4th place solution

Lyft Motion Prediction for Autonomous Vehicles Code for the 4th place solution of Lyft Motion Prediction for Autonomous Vehicles on Kaggle. Discussion

44 Jun 27, 2022
Detecting drunk people through thermal images using Deep Learning (CNN)

Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab

Giacomo Ferretti 3 Oct 27, 2022
Memory efficient transducer loss computation

Introduction This project implements the optimization techniques proposed in Improving RNN Transducer Modeling for End-to-End Speech Recognition to re

Fangjun Kuang 51 Nov 25, 2022
The repo contains the code to train and evaluate a system which extracts relations and explanations from dialogue.

The repo contains the code to train and evaluate a system which extracts relations and explanations from dialogue. How do I cite D-REX? For now, cite

Alon Albalak 6 Mar 31, 2022
Probabilistic Cross-Modal Embedding (PCME) CVPR 2021

Probabilistic Cross-Modal Embedding (PCME) CVPR 2021 Official Pytorch implementation of PCME | Paper Sanghyuk Chun1 Seong Joon Oh1 Rafael Sampaio de R

NAVER AI 87 Dec 21, 2022
Airbus Ship Detection Challenge

Airbus Ship Detection Challenge This is an open solution to the Airbus Ship Detection Challenge. Our goals We are building entirely open solution to t

minerva.ml 55 Nov 29, 2022
Pytorch implementation of PCT: Point Cloud Transformer

PCT: Point Cloud Transformer This is a Pytorch implementation of PCT: Point Cloud Transformer.

Yi_Zhang 265 Dec 22, 2022
The Deep Learning with Julia book, using Flux.jl.

Deep Learning with Julia DL with Julia is a book about how to do various deep learning tasks using the Julia programming language and specifically the

Logan Kilpatrick 67 Dec 25, 2022
Datasets, Transforms and Models specific to Computer Vision

vision Datasets, Transforms and Models specific to Computer Vision Installation First install the nightly version of OneFlow python3 -m pip install on

OneFlow 68 Dec 07, 2022
JupyterLite demo deployed to GitHub Pages 🚀

JupyterLite Demo JupyterLite deployed as a static site to GitHub Pages, for demo purposes. ✨ Try it in your browser ✨ ➡️ https://jupyterlite.github.io

JupyterLite 223 Jan 04, 2023
CTF challenges from redpwnCTF 2021

redpwnCTF 2021 Challenges This repository contains challenges from redpwnCTF 2021 in the rCDS format; challenge information is in the challenge.yaml f

redpwn 27 Dec 07, 2022
Open-source Monocular Python HawkEye for Tennis

Tennis Tracking 🎾 Objectives Track the ball Detect court lines Detect the players To track the ball we used TrackNet - deep learning network for trac

ArtLabs 188 Jan 08, 2023
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Learning to Adapt Structured Output Space for Semantic Segmentation Pytorch implementation of our method for adapting semantic segmentation from the s

Yi-Hsuan Tsai 782 Dec 30, 2022
Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation"

1 Introduction Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation". The code s

Liang Zhang 10 Dec 10, 2022
Official implementation of the paper Do pedestrians pay attention? Eye contact detection for autonomous driving

Do pedestrians pay attention? Eye contact detection for autonomous driving Official implementation of the paper Do pedestrians pay attention? Eye cont

VITA lab at EPFL 26 Nov 02, 2022
Code for database and frontend of webpage for Neural Fields in Visual Computing and Beyond.

Neural Fields in Visual Computing—Complementary Webpage This is based on the amazing MiniConf project from Hendrik Strobelt and Sasha Rush—thank you!

Brown University Visual Computing Group 29 Nov 30, 2022