MachineLearning Leave a comment

Affine Transformation in OpenCV with cv2.warpAffine()

Introduction In this article, we will learn how to perform the affine transformation on images using the OpenCV cv2.warpAffine() function. First, we will understand what is affine transformation, and its uses. Then we shall cover a few examples of warpAffine() by performing transformations such as rotation, translation, scaling, and shearing. What is Affine Transformation In image processing the affine transformation is a geometric transformation that preserves collinearity (the property of points lying on a straight line) and ratios of distances […]

Read more
Artificial intelligence Leave a comment

SAMMO: A general-purpose framework for prompt optimization

Large language models (LLMs) have revolutionized a wide range of tasks and applications that were previously reliant on manually crafted machine learning (ML) solutions, streamlining through automation. However, despite these advances, a notable challenge persists: the need for extensive prompt engineering to adapt these models to new tasks. New generations of language models like GPT-4 and Mixtral 8x7B advance the capability to process long input texts. This progress enables the use of longer inputs, providing richer context and detailed instructions […]

Read more
Machine Learning

Prompting Techniques for Stable Diffusion

Generating pictures using Stable Diffusion in all cases would involve to submit a prompt to the pipeline. This is only one of the parameters, but the most important one. An incomplete or poorly constructed prompt would make the resulting image not as you would expect. In this post, you will learn some key techniques to construct a prompt and see how much a good prompt can create a good image. Let’s get started. Prompting Techniques for Stable DiffusionPhoto by Sangga […]

Read more
Machine Learning

Generate Realistic and Consistent Faces in Stable Diffusion

The deep learning model of Stable Diffusion is huge. The weight file is multiple GB large. Retraining the model means to update a lot of weights and that is a lot of work. Sometimes we must modify the Stable Diffusion model, for example, to define a new interpretation of prompts or make the model to generate a different style of painting by default. Indeed there are ways to make such an extension to existing model without modifying the existing model […]

Read more
Python

How to Format Floats Within F-Strings in Python

You’ll often need to format and round a Python float to display the results of your calculations neatly within strings. In earlier versions of Python, this was a messy thing to do because you needed to round your numbers first and then use either string concatenation or the old string formatting technique to do this for you. Since Python 3.6, the literal string interpolation, more commonly known as a formatted string literal or f-string, allows you to customize the content […]

Read more
Algorithms Leave a comment

Research Focus: Week of April 15, 2024

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Appropriate reliance on Generative AI: Research synthesis Appropriate reliance on AI happens when people accept correct AI outputs and reject incorrect ones. It requires users of AI systems to know when to trust the AI and when to trust themselves. But fostering appropriate reliance comes with new complexities when  

Read more
Python

Using raise for Effective Exceptions

In your Python journey, you’ll come across situations where you need to signal that something is going wrong in your code. For example, maybe a file doesn’t exist, a network or database connection fails, or your code gets invalid input. A common approach to tackle these issues is to raise an exception, notifying the user that an error has occurred. That’s what Python’s raise statement is for. Learning about the raise statement allows you to effectively handle errors and exceptional […]

Read more
Systems and networking Leave a comment

Microsoft at NSDI 2024: Discoveries and implementations in networked systems

Networked systems and their applications are essential in building the reliable, scalable, secure, and innovative infrastructure required to meet society’s evolving needs. One of the premier events in this field, the 21st USENIX Symposium on Networked Systems Design and Implementation (opens in new tab) (NSDI ‘24), provides a platform for researchers and experts to share insights, present research findings, and collaborate on the latest advances in the design, implementation, and evaluation of networked and distributed systems. Microsoft is honored to […]

Read more
Systems and networking Leave a comment

Abstracts: April 16, 2024

TUSHER CHAKRABORTY: Hi. Thank you for having me here, Gretchen, today. Thank you. HUIZINGA: So because this show is all about abstracts, in just a few sentences, tell us about the problem your paper addresses and why we should care about it. CHAKRABORTY: Yeah, so think of, I’m a farmer living in a remote area and bought a sensor to monitor the soil quality of my farm. The big headache for me would be how to connect the sensor so […]

Read more
Python

Build a Blog Using Django, GraphQL, and Vue

Are you a regular Django user? Do you find yourself wanting to decouple your back end and front end? Do you want to handle data persistence in the API while you display the data in a single-page app (SPA) in the browser using a JavaScript framework like React or Vue? If you answered yes to any of these questions, then you’re in luck. This tutorial will take you through the process of building a Django blog back end and a […]

Read more
1 … 54 55 56 57 58 … 913