Search Results for "parallel image segmentation"
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Showing 8 open source projects for "parallel image segmentation"
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
Easy DataSet is a comprehensive open-source tool designed to make creating high-quality datasets for large language model fine-tuning, retrieval-augmented generation (RAG), and evaluation as easy and automated as possible by providing intuitive interfaces and powerful parsing, segmentation, and labeling tools. It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure... -
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Flying-Bird-Wallpaper
Flying Bird Wallpaper is a feature-rich desktop wallpaper application
Flying Bird Wallpaper is a feature-rich desktop wallpaper application that supports multiple wallpaper types including images, videos, rhythm wallpapers, and solid colors, making your desktop unique and vibrant. -
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Deep Learning 500 Questions
500 Questions on Deep Learning using a question-and-answer format
...The first sections focus on essential mathematics, machine learning basics, and deep learning foundations, establishing the groundwork for more advanced topics. Later chapters explore classic neural network structures such as CNNs, RNNs, and GANs, as well as key applications in computer vision like object detection and image segmentation. The resource also delves into optimization methods, including transfer learning, network architecture design, hyperparameter tuning, model compression, and acceleration techniques. -
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Semantic Segmentation Editor
Web labeling tool for bitmap images and point clouds
A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js. -
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jQuery & Zepto Lazy
A lightweight, fast, feature-rich, powerful and highly configurable
Lazy is a fast, feature-rich, and lightweight delayed content-loading plugin for jQuery and Zepto. It's designed to speed up page loading times and decrease traffic to your users by only loading the content in view. You can use Lazy in all vertical and horizontal scroll ways. It supports images in img / tags and backgrounds, supplied with CSS like background-image, by default. On those elements, Lazy can set a default image or a placeholder while loading and supports retina displays as well.... -
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FATCALC-ImageJ is an ImageJ macro (fully automated) for unsupervised fat segmentation in magnetic resonance imaging. It was developed for GE T1 2-points Dixon sequences (fat only image). FATCALC independently evaluates the volumes of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT).
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Image Toolbar
Provides easy access to common image functions in Mozilla Firefox.
This is a near parallel fork of Cussers wonderful Mozilla Firefox Add-on Extension with a few tweaks. "Single-click access to common actions for images (e.g. saving, copying, printing). This extension is intended to provide a replacement for the equivalent toolbar in Internet Explorer." See upstream at https://addons.mozilla.org/firefox/addon/image-toolbar With any luck I hope to have it pulled as a RFE. -
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Monk Computer Vision
A low code unified framework for computer vision and deep learning
... - Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection. Monk object detection is our take on assembling state of the art object detection, image segmentation, pose estimation algorithms at one place, making them low code and easily configurable on any machine. - Monk GUI - https://github.com/Tessellate-Imaging/Monk_Gui. An interface over these low code tools for non coders.
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