User contributions for Admino739mjm7
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Results for Admino739mjm7 talk block log uploads logs
A user with 560 edits. Account created on 20 September 2023.
18 March 2025
- 09:0209:02, 18 March 2025 diff hist +3,341 N Image Colour Count with Python Created page with "<strong>A python-based tool for image colour count extraction. </strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Sample image for colour analysis (left) and resulting histogram with the background colour ignored (right) </div> == Asset Description == <p style="line-height: 1.5em"> Extract colours count from an image using tools commonly available in Python: PIL for image reading and numpy. </p> == Asset Details ==..." current
- 08:5608:56, 18 March 2025 diff hist 0 N File:Colour analysis.png No edit summary current
17 March 2025
- 16:2116:21, 17 March 2025 diff hist +259 AI Reference Implementations No edit summary
- 16:1916:19, 17 March 2025 diff hist +2,983 N Orthogonal Views Extractor from STEP File - PythonOCC Version Created page with "<strong>A python script to automate the extraction of orthogonal views of the six faces of solids extracted from STEP files using tools available on PythonOCC. </strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Views extracted from considered solid</div> == Asset Description == <p style="line-height: 1.5em"> The implemented asset is a python script created with the aim of automating the extraction of the si..." current
- 16:1316:13, 17 March 2025 diff hist 0 N File:STEP Extractor PythonOCC.png No edit summary current
21 November 2024
- 16:1516:15, 21 November 2024 diff hist +199 AI Reference Implementations No edit summary
- 16:1316:13, 21 November 2024 diff hist −244 Orthogonal Views Extractor from STEP File →Relevant Categories current
- 16:1316:13, 21 November 2024 diff hist +3,362 N Orthogonal Views Extractor from STEP File Created page with "<strong>Python script for automated extraction of orthogonal views from STEP files using tools available on PiXYZ Studio software. </strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Views extracted from considered solid visualised in PiXYZ</div> == Asset Description == <p style="line-height: 1.5em"> A python script to automate the extraction of orthogonal views of the six faces of solids extracted from STE..."
- 14:2014:20, 21 November 2024 diff hist 0 N File:STEP file Extractor combo.jpg No edit summary current
- 13:4613:46, 21 November 2024 diff hist 0 N File:STEP file Extractor.png No edit summary current
9 September 2024
- 12:1612:16, 9 September 2024 diff hist −46 AI REDGIO 5.0 Open Hardware Platform v2 →External Resources current
4 September 2024
- 14:1814:18, 4 September 2024 diff hist −2 Anomaly Detection in Force/Torque Time Series From Delta Robot →Usage current
- 14:1814:18, 4 September 2024 diff hist +211 Anomaly Detection in Force/Torque Time Series From Delta Robot No edit summary
- 14:0914:09, 4 September 2024 diff hist +68 Main Page →Asset Categories
- 14:0714:07, 4 September 2024 diff hist +262 AI Reference Implementations No edit summary
- 14:0514:05, 4 September 2024 diff hist −1 Anomaly Detection in Force/Torque Time Series From Delta Robot →Resources
- 14:0514:05, 4 September 2024 diff hist −10 Anomaly Detection in Force/Torque Time Series From Delta Robot No edit summary
- 14:0514:05, 4 September 2024 diff hist +2,982 N Anomaly Detection in Force/Torque Time Series From Delta Robot Created page with "<strong>Collection of Jupyter notebooks and Python code implementations for anomaly detection in time series data, particularly in the context of robotic assembly. </strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Anomaly detection in Force/Torque Time Series</div> == Asset Description == <p style="line-height: 1.5em"> This repository contains a collection of Jupyter notebooks and Python code im..."
- 14:0014:00, 4 September 2024 diff hist −1 Labelled Force/Torque Time Series from Robotic Wheel Assembly Dataset →Resources current
- 13:5113:51, 4 September 2024 diff hist 0 N File:Anomaly detection force torque data.png No edit summary current
- 13:4613:46, 4 September 2024 diff hist +283 AI Reference Implementations No edit summary
- 13:4313:43, 4 September 2024 diff hist +2,670 N Labelled Force/Torque Time Series from Robotic Wheel Assembly Dataset Created page with "<strong>A time series dataset of forces and torques that can be used to develop and test ML models for anomaly detection in robotic assembly. </strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Labelled Force/Torque Time Series from Robotic Wheel Assembly Dataset in Zenodo</div> == Asset Description == <p style="line-height: 1.5em"> This dataset contains 524 recordings of 6-dimensional time series representing f..."
- 13:4213:42, 4 September 2024 diff hist +23 N Category:Fault Detection Created page with "Category:AI Purpose" current
- 13:4113:41, 4 September 2024 diff hist +23 N Category:Predictive Maintenance Created page with "Category:AI Problem" current
- 13:3913:39, 4 September 2024 diff hist +23 N Category:Process Monitoring Created page with "Category:AI Problem" current
- 13:3613:36, 4 September 2024 diff hist +31 N Category:Anomaly Detection Created page with "Category:AI Algorithm Types" current
- 13:2313:23, 4 September 2024 diff hist 0 N File:Force torque dataset.png No edit summary current
3 September 2024
- 15:1815:18, 3 September 2024 diff hist −5 AI REDGIO 5.0 AI Pipeline Designer →Features current
- 15:1815:18, 3 September 2024 diff hist −6 AI REDGIO 5.0 AI Pipeline Designer →Asset Description
- 15:1315:13, 3 September 2024 diff hist −335 AI REDGIO 5.0 AI Pipeline Designer No edit summary
- 14:5914:59, 3 September 2024 diff hist +166 AIREDGIO5.0 AI Enabling Tools No edit summary
- 14:5714:57, 3 September 2024 diff hist +10 AI REDGIO 5.0 AI Pipeline Designer →Relevant Categories
- 14:5314:53, 3 September 2024 diff hist +43 AI REDGIO 5.0 AI Pipeline Designer No edit summary
- 14:5214:52, 3 September 2024 diff hist −12 AI REDGIO 5.0 AI Pipeline Designer →Features
- 14:5214:52, 3 September 2024 diff hist −7,606 AI REDGIO 5.0 AI Pipeline Designer No edit summary
- 13:1713:17, 3 September 2024 diff hist +10,955 N AI REDGIO 5.0 AI Pipeline Designer Created page with " <strong>Facilitating the design, execution and deployment of AI pipelines for AI and ML applications</strong> thumb|right|Image 1: The AI REDGIO 5.0 Ai pipeline Designer == Asset Description == <p style="line-height: 1.5em"> The AI Pipeline Designer platform allows users design, experiment with, train, execute and deploy AI models at the edge or on cloud resources. The AI Pipeline Designer platform is addressed towards different typ..."
- 12:5312:53, 3 September 2024 diff hist +3 AIREDGIO5.0 AI Enabling Tools →AI REDGIO 5.0 Open Hardware Platform v2 by Libelium / HOPU
- 12:5312:53, 3 September 2024 diff hist +187 AIREDGIO5.0 AI Enabling Tools No edit summary
- 12:5112:51, 3 September 2024 diff hist 0 AI REDGIO 5.0 Open Hardware Platform v2 →External Resources
- 12:5112:51, 3 September 2024 diff hist +42 AI REDGIO 5.0 Open Hardware Platform v2 →External Resources
- 12:5012:50, 3 September 2024 diff hist +46 AI REDGIO 5.0 Open Hardware Platform →External Resources current
- 12:3812:38, 3 September 2024 diff hist +39 AI REDGIO 5.0 Open Hardware Platform v2 →Instructions
- 12:3712:37, 3 September 2024 diff hist +419 AI REDGIO 5.0 Open Hardware Platform v2 →Usage
- 12:3312:33, 3 September 2024 diff hist −4 AI REDGIO 5.0 Open Hardware Platform v2 →Flow
- 12:3312:33, 3 September 2024 diff hist +2 AI REDGIO 5.0 Open Hardware Platform v2 →Flow Tag: Manual revert
- 12:3312:33, 3 September 2024 diff hist −2 AI REDGIO 5.0 Open Hardware Platform v2 →Flow Tag: Reverted
- 12:3212:32, 3 September 2024 diff hist +70 AI REDGIO 5.0 Open Hardware Platform v2 →Flow
- 12:3112:31, 3 September 2024 diff hist +33 AI REDGIO 5.0 Open Hardware Platform v2 →Flow
- 12:2912:29, 3 September 2024 diff hist −34 AI REDGIO 5.0 Open Hardware Platform v2 →Software
- 12:2912:29, 3 September 2024 diff hist −34 AI REDGIO 5.0 Open Hardware Platform v2 →Hardware
