GUI automation with Sikuli
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Sikuli is a tool that can automate human tasks like typing and clicking through image recognition. It was used to automatically change 400 subject headings in a library catalog by pasting different terms into a form and submitting it, instead of filling out the form manually 400 times. Sikuli is useful for automating tasks when you don't have access to modify the underlying system code, and for avoiding repetitive work. Users need to be aware that computer and software behavior can sometimes be inconsistent.
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Sikuli
Sikuli is an open source visual UI automation tool developed at MIT that allows users to automate tasks by taking screenshots and clicking/typing based on visual elements on the screen without the need for code. It provides an IDE and scripting capabilities using Jython but has issues with poor documentation, some bugs, and lacks reporting or exporting test results.
Sikuli
All the credit goes to my friends
1. Sundar Ram Raju
2. Shiva Prasad Raju
for knowing me about this tool
Thanks to my manager Srinivasa Movva for encouraging me to learn this tool.
© Copyright 2009-2010 Sikuli.org • All Rights Reserved with Sikuli org
Exploring the internal state of user interfaces using sikuli
Sikuli is an open-source automation tool that uses image recognition to identify and control graphical user interfaces (GUIs). It allows users to write scripts that interact with GUI elements by taking screenshots of them. The document discusses Sikuli's technical capabilities including looking, recognizing, and interacting with GUI elements using screenshots. It provides examples of writing simple "hello world" scripts in Sikuli and describes various functions and methods for controlling scripts, mouse/keyboard interactions, and interacting with users and other applications.
Sikuli script
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Sikuli Slides
Sikuli-Slides is a tool that allows users to automate and test graphical user interfaces (GUIs) by annotating screenshots in PowerPoint slides. It uses computer vision to recognize and interact with elements on the screen based on the annotated slides. Sikuli-Slides also enables the creation of interactive tutorials by linking GUI interactions to narrations and on-screen text. The tool supports different modes for automating tests, guiding users through tutorials, and developing new slideshows.
Sikuli script
Sikuli Script is a visual scripting tool that allows users to write programs using screenshots of graphical user interfaces (GUIs), rather than requiring knowledge of underlying application programming interfaces (APIs). It enables programmers to automate interactions with applications by inserting screenshots into Python scripts and specifying keyboard or mouse actions when GUI elements appear on screen. The tool was developed by researchers at the University of Maryland and MIT to allow both technical and non-technical users to create scripts that combine functionality across multiple applications without needing to learn APIs. Key features of Sikuli Script include its visual interface for taking screenshots, an editor for writing scripts using screenshots, and functions for handling applications, interacting with users, and automating tasks.
Automation Testing with Sikuli
This document introduces Sikuli, an open-source visual scripting tool for automating GUI testing. Key points covered include:
- Current manual testing is time-consuming and lacks confidence in catching all bugs before release. Sikuli could help automate some of this.
- Sikuli scripts are written in Python and use screenshots to simulate user interactions like clicking, typing, and dragging.
- The document demonstrates how Sikuli could be used to define and test critical features, reproduce hard to explain bugs, and run automated tests before manual testing begins.
- The goals are to get comfortable with Sikuli in order to write modular, reusable test scripts and leverage automation to develop more
sikuli final
Sikuli script is a visual technology that allows users to program and automate graphical user interfaces (GUIs) using screenshots. It works by combining GUI interactions with traditional coding using the Jython programming language. Programmers can write scripts that use images as parameters and variables to control applications without relying on internal APIs. Sikuli scripts are platform independent and can automate tasks on Windows, Mac, Linux, as well as web pages and mobile device emulators. The technology works by taking screenshots of the screen to visually search for and select interface elements to interact with. Some potential applications of Sikuli include automating repetitive tasks, monitoring for specific screen changes, and testing websites against hacking attempts.
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Sikuli
Sikuli is an open source visual UI automation tool developed at MIT that allows users to automate tasks by taking screenshots and clicking/typing based on visual elements on the screen without the need for code. It provides an IDE and scripting capabilities using Jython but has issues with poor documentation, some bugs, and lacks reporting or exporting test results.
Sikuli
All the credit goes to my friends
1. Sundar Ram Raju
2. Shiva Prasad Raju
for knowing me about this tool
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© Copyright 2009-2010 Sikuli.org • All Rights Reserved with Sikuli org
Exploring the internal state of user interfaces using sikuli
Sikuli is an open-source automation tool that uses image recognition to identify and control graphical user interfaces (GUIs). It allows users to write scripts that interact with GUI elements by taking screenshots of them. The document discusses Sikuli's technical capabilities including looking, recognizing, and interacting with GUI elements using screenshots. It provides examples of writing simple "hello world" scripts in Sikuli and describes various functions and methods for controlling scripts, mouse/keyboard interactions, and interacting with users and other applications.
Sikuli script
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Sikuli script
Sikuli Script is a visual scripting tool that allows users to write programs using screenshots of graphical user interfaces (GUIs), rather than requiring knowledge of underlying application programming interfaces (APIs). It enables programmers to automate interactions with applications by inserting screenshots into Python scripts and specifying keyboard or mouse actions when GUI elements appear on screen. The tool was developed by researchers at the University of Maryland and MIT to allow both technical and non-technical users to create scripts that combine functionality across multiple applications without needing to learn APIs. Key features of Sikuli Script include its visual interface for taking screenshots, an editor for writing scripts using screenshots, and functions for handling applications, interacting with users, and automating tasks.
Automation Testing with Sikuli
This document introduces Sikuli, an open-source visual scripting tool for automating GUI testing. Key points covered include:
- Current manual testing is time-consuming and lacks confidence in catching all bugs before release. Sikuli could help automate some of this.
- Sikuli scripts are written in Python and use screenshots to simulate user interactions like clicking, typing, and dragging.
- The document demonstrates how Sikuli could be used to define and test critical features, reproduce hard to explain bugs, and run automated tests before manual testing begins.
- The goals are to get comfortable with Sikuli in order to write modular, reusable test scripts and leverage automation to develop more
sikuli final
Sikuli script is a visual technology that allows users to program and automate graphical user interfaces (GUIs) using screenshots. It works by combining GUI interactions with traditional coding using the Jython programming language. Programmers can write scripts that use images as parameters and variables to control applications without relying on internal APIs. Sikuli scripts are platform independent and can automate tasks on Windows, Mac, Linux, as well as web pages and mobile device emulators. The technology works by taking screenshots of the screen to visually search for and select interface elements to interact with. Some potential applications of Sikuli include automating repetitive tasks, monitoring for specific screen changes, and testing websites against hacking attempts.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
CAKE: Sharing Slices of Confidential Data on Blockchain
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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GUI automation with Sikuli
- 1. GUI automation with Sikuli Ctibor Škuta ELAG 2010, Helsinki, Lightning talk
- 2. Our problem • 400 new subject headings picked from 653 MARC field (keyword) of our bibliographic records • … but then we had to change the 653 field with given terms to 650 field (authority subject heading) • Which means for me to fill the same form 400 TIMES only with one different term ELAG 2010, Helsinki, Lightning talk
- 3. Other solution • Maybe it could be done automatically? • Aleph administrator: „That‘s not possible.“ ELAG 2010, Helsinki, Lightning talk
- 4. Totally different solution • … but maybe we don‘t have to automate the system itself • Maybe we can automate the actual human work (typing, clicking) ELAG 2010, Helsinki, Lightning talk
- 5. Our solution = Sikuli • Picture-driven programming tool • Recognizes patterns on graphical output • Multiplatform (code in Java) • Using Jython (Python implementation in Java) ELAG 2010, Helsinki, Lightning talk
- 6. Simple example terms = ['"moby is from belgium"', '"moby is not from belgium"'] click( ) time.sleep(5) for term in terms: paste(term) type(Key.ENTER) time.sleep(5) type(Key.BACKSPACE) time.sleep(2) click( ) ELAG 2010, Helsinki, Lightning talk
- 7. When to use it? • you want to automate something, but you don‘t have an access to its source • you want to avoid repeating, boring or annoying work ELAG 2010, Helsinki, Lightning talk
- 8. Be aware of... • Unexpected behaiviour of your computer (lags – just take your time) • Inconsistent behaiviour of your software ELAG 2010, Helsinki, Lightning talk
- 9. Thanks for your attention! ELAG 2010, Helsinki, Lightning talk