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.

CvT2DistilGPT2 is an encoder-to-decoder model that was developed for chest X-ray report generation.

CvT2DistilGPT2 Improving Chest X-Ray Report Generation by Leveraging Warm-Starting This repository houses the implementation of CvT2DistilGPT2 from [1

The Australian e-Health Research Centre 21 Dec 28, 2022
Code for "R-GCN: The R Could Stand for Random"

RR-GCN: Random Relational Graph Convolutional Networks PyTorch Geometric code for the paper "R-GCN: The R Could Stand for Random" RR-GCN is an extensi

PreDiCT.IDLab 31 Sep 07, 2022
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks)

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks) This repository contains a PyTorch implementation for the paper: Deep Pyra

Greg Dongyoon Han 262 Jan 03, 2023
Unsupervised phone and word segmentation using dynamic programming on self-supervised VQ features.

Unsupervised Phone and Word Segmentation using Vector-Quantized Neural Networks Overview Unsupervised phone and word segmentation on speech data is pe

Herman Kamper 13 Dec 11, 2022
CUDA Python Low-level Bindings

CUDA Python Low-level Bindings

NVIDIA Corporation 529 Jan 03, 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy for sma

THUDM 540 Dec 30, 2022
Hyperbolic Hierarchical Clustering.

Hyperbolic Hierarchical Clustering (HypHC) This code is the official PyTorch implementation of the NeurIPS 2020 paper: From Trees to Continuous Embedd

HazyResearch 154 Dec 15, 2022
A foreign language learning aid using a neural network to predict probability of translating foreign words

Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is

Shona Lowden 6 Nov 17, 2021
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom Sample on-line plotting while training(avg loss)/testing(writ

Jingwei Zhang 269 Nov 15, 2022
EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation

EFENet EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation Code is a bit messy now. I woud clean up soon. For training the EF

Yaping Zhao 19 Nov 05, 2022
An implementation of chunked, compressed, N-dimensional arrays for Python.

Zarr Latest Release Package Status License Build Status Coverage Downloads Gitter Citation What is it? Zarr is a Python package providing an implement

Zarr Developers 1.1k Dec 30, 2022
Kaggle | 9th place (part of) solution for the Bristol-Myers Squibb – Molecular Translation challenge

Part of the 9th place solution for the Bristol-Myers Squibb – Molecular Translation challenge translating images containing chemical structures into I

Erdene-Ochir Tuguldur 22 Nov 30, 2022
A python library for face detection and features extraction based on mediapipe library

FaceAnalyzer A python library for face detection and features extraction based on mediapipe library Introduction FaceAnalyzer is a library based on me

Saifeddine ALOUI 14 Dec 30, 2022
Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

Code for sound field predictions in domains with impedance boundaries. Used for generating results from the paper

DTU Acoustic Technology Group 11 Dec 17, 2022
You Only Look Once for Panopitic Driving Perception

You Only 👀 Once for Panoptic 🚗 Perception You Only Look at Once for Panoptic driving Perception by Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wan

Hust Visual Learning Team 1.4k Jan 04, 2023
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark We propose a benchmark to evaluate different quantization algorithms on vari

494 Dec 29, 2022
Code for "Typilus: Neural Type Hints" PLDI 2020

Typilus A deep learning algorithm for predicting types in Python. Please find a preprint here. This repository contains its implementation (src/) and

47 Nov 08, 2022
Fully convolutional deep neural network to remove transparent overlays from images

Fully convolutional deep neural network to remove transparent overlays from images

Marc Belmont 1.1k Jan 06, 2023
Orthogonal Over-Parameterized Training

The inductive bias of a neural network is largely determined by the architecture and the training algorithm. To achieve good generalization, how to effectively train a neural network is of great impo

Weiyang Liu 11 Apr 18, 2022
(ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning"

CLNet (ICCV 2021) PyTorch implementation of Paper "Progressive Correspondence Pruning by Consensus Learning" [project page] [paper] Citing CLNet If yo

Chen Zhao 22 Aug 26, 2022