Onkar Mishra·1 day agoStable Diffusion ExplainedHow does Stable diffusion work? Explaining the tech behind text to image generation. — Large text to image models have achieved remarkable success in enabling high quality synthesis of images from text prompts. Diffusion models can be applied to text to image generation tasks to achieve state of art image generating results. …Image Processing5 min readImage Processing5 min read
Michael Gorkow·2 days agoImage Data in Snowflake — Part 1: Uploading, Querying and Visualizing ImagesFor a long time, Snowflake has primarily been used for working with structured and semi-structured data. However, with Snowpark for Python and the vast ecosystem of open-source libraries, more and more customers are interested in working with unstructured data such as image data. In this series of blog articles, I…Image Processing4 min readImage Processing4 min read
Abdullah Ranginwala·1 day agoWeek 1 | GSoC 2023 | ImageLab project updatesCombining Electron with React: To kickstart the front-end revamp, I dived into understanding the architecture of combining Electron with React. Electron allows us to build desktop applications using web technologies, while React provides a powerful framework for building user interfaces. By combining these two technologies, we can leverage the benefits of both in creating…Image Processing3 min readImage Processing3 min read
Viraj Shakya Samaranayake·17 hours agoEffective Preprocessing Techniques for COCO Datasets in Computer Vision ApplicationsA custom COCO dataset is a collection of images and annotations that is created specifically for a particular task or application. It can be used to train and evaluate models for object detection, segmentation, and captioning. Here are some examples of custom COCO datasets: A dataset of images of cars…Image Processing7 min readImage Processing7 min read
Sahil Utekar·1 day agoBarcode Detection using OpenCV and PyZBarIntroduction: Barcode detection is a critical task in many applications, ranging from inventory management to ticketing systems. In this blog post, we will explore how to detect and decode barcodes from images using OpenCV and the PyZBar library. …Image Processing3 min readImage Processing3 min read
Sohail Pathan·14 hours agoBoost Your Website’s Performance with WebP Conversion: Best Practices and TechniquesIf you live in the world of web development you know by now that images and image optimization can play a crucial role in creating fast and visually stunning websites. We also know the common problems that weigh down the websites — bulky image files that take ages and ages…Image Processing4 min readImage Processing4 min read
Aditya Sridhar·2 days agoStable Diffusion for DummiesAn intuitive and in-depth look on this breakthrough model in AI Art. If you haven’t been living under a rock for the past year, you’ve likely heard about the recent breakthroughs in AI that are making schools, corporations, and governments scramble to keep up with all the powerful new technology…Image Processing10 min readImage Processing10 min read
Fatimazahra Belharar·2 days agoEnhancing Classification Accuracy for Imbalanced Image Data Using SMOTEIn the world of data analysis and machine learning, not all datasets are created equal. One common challenge that often arises is dealing with imbalanced data, where one class is significantly more prevalent than the others. This imbalance can have a detrimental effect on the performance of deep learning and…Image Processing4 min readImage Processing4 min read
Edward Roe·2 days agoConvolution: Image Filters, CNNs and Examples in Python & PytorchIntroduction Two-dimensional (2D) convolution is well known in digital image processing for applying various filters such as blurring the image, enhancing sharpness, assisting in edge detection, etc. With the advent of Convolutional Neural Networks (CNN), convolutions gained a new interest. Convolutions are based on the idea of using a filter, also…Image Processing12 min readImage Processing12 min read
Rakshith S Nadiger·3 days agoExploring the Application of Spatial Domain Filters in Image ProcessingDigital Image processing refers to the manipulation and analysis of digital images using various techniques and algorithms. It involves the use of computer algorithms to enhance, alter, and extract information from images, with the aim of improving their quality, extracting useful features, or facilitating interpretation by humans or other computer…Image Processing5 min readImage Processing5 min read
