Search Results for "image processing framework" - Page 26
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Showing 1300 open source projects for "image processing framework"
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Paperless-ng
A supercharged version of paperless, scan, index and archive docs
Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to... -
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aPhoto
aPhoto is a Batch Intuitive Program Makes Text and Image Watermarks
Introduction: aPhoto is a batch, intuitive and portable program that helps you to make text(eg. Copyright Notice) and image(eg. Logo) watermarks for the photos, and save the result photos to JPG, PNG, GIF, or BMP file formats. aPhoto is a lightweight application whose purpose is to help users embed text or image watermarks on their favorite pictures. This is a portable program, so it is important to mention that it doesn't leave any traces in the Windows Registry. You can copy it on... -
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sanoCarousel
a css/js/html carousel ( image slider) very simple concept
There is no need from now to find them online, I make them available for free to everyone! it does not require a framework, and does not get impacted by frameworks upgrades! Enjoy :) -
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masmt
A frame work for Multi agent system development
...B. Hettige, A. S. Karunananda, G. Rzevski, ” MaSMT: A Multi-agent System Development Framework for English-Sinhala Machine Translation”, International Journal of Computational Linguistics and Natural Language Processing (IJCLNLP), Volume 2 Issue 7 July 2013. -
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With these packages for Delphi the user can easily create VST plugins or ASIO applications within minutes. The included algorithms for filters and dynamics help to built effects without much knowledge of digital signal processing.
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Kashgari
Kashgari is a production-level NLP Transfer learning framework
Kashgari is a simple and powerful NLP Transfer learning framework, build a state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS), and text classification tasks. -
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Old Photo Restoration
Bringing Old Photo Back to Life (CVPR 2020 oral)
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two... -
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Data augmentation
List of useful data augmentation resources
List of useful data augmentation resources. You will find here some links to more or less popular github repos, libraries, papers, and other information. Data augmentation can be simply described as any method that makes our dataset larger. To create more images for example, we could zoom in and save a result, we could change the brightness of the image or rotate it. To get a bigger sound dataset we could try to raise or lower the pitch of the audio sample or slow down/speed up.... -
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Amadeus
Harmonious distributed data analysis in Rust
Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. -
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Omnipay
A framework agnostic, multi-gateway payment processing library
Omnipay is a payment processing library for PHP. It has been designed based on ideas from Active Merchant, plus experience implementing dozens of gateways for CI Merchant. It has a clear and consistent API, is fully unit tested, and even comes with an example application to get you started. You can learn one API and use it in multiple projects using different payment gateways. If you need to change payment gateways you won’t need to rewrite your code. Most official PHP payment gateway... -
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IMLAB
A Free Experimental System for Image Processing
ImLab is a free open source graphical application for Scientific Image Processing that runs in Windows, Linux and many other UNIX systems. It supports multiple windows, data types including 32 bit integers, 32 bit real numbers and complex numbers. -
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jiant
jiant is an nlp toolkit
Jiant is a multitask NLP framework for fine-tuning transformer-based models on multiple natural language understanding (NLU) tasks. -
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SimCSE
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE (Simple Contrastive Learning of Sentence Embeddings) is a machine learning framework for training sentence embeddings using contrastive learning. It improves representation learning for NLP tasks. -
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course-v3
The 3rd edition of course.fast.ai
...The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying theory and mathematics. The materials demonstrate how to train neural networks using the fastai library and the PyTorch deep learning framework, enabling learners to quickly create applications such as image classifiers, natural language processing models, and recommendation systems. -
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tensorflow_template_application
TensorFlow template application for deep learning
...It is particularly useful for developers who want to transition from experimental notebooks to structured machine learning applications. By providing a reusable framework, the template reduces the time needed to set up new TensorFlow projects and encourages consistent development practices. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. ... -
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SVGKit
Display and interact with SVG Images on iOS/OS X
SVGKit is a Cocoa framework for rendering SVG files natively, it's fast and powerful. SVGKit is an image library, so rather than Unit Tests we have a large set of sample SVG's that we use to check everything is working OK. All the images are included in the "Demo-iOS" app (that comes with SVGKit). If you have many images to add at once (hundreds) then there's a different technique that lets you add an entire folder at once. -
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Self-Attentive Parser
High-accuracy NLP parser with models for 11 languages
LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention. -
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spatial-framework-for-hadoop
The Spatial Framework for Hadoop allows developers
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis. For tools, samples, and tutorials that use this framework, head over to GIS Tools for Hadoop. At the root level of this repository, you can build a single jar with everything in the framework using Apache Ant. Alternatively, you can build a jar at the root level of each framework component. -
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Gluon CV Toolkit
Gluon CV Toolkit
...It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection, semantic segmentation and pose estimation, to instance segmentation and video action recognition. The model zoo is the one-stop shopping center for many models you are expecting. GluonCV embraces a flexible development pattern while is super easy to optimize and deploy without retaining a heavyweight deep learning framework. -
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BioNetExplorer
Framework for Exploration of Bio-signal Processing DNNs in Wearables
The BioNetExplorer framework systematically generates and explores multiple DNN architectures for bio-signal processing in wearable devices. Our framework varies key neural architecture parameters to search for an embedded DNN with low hardware overhead that can be deployed in wearable edge devices to analyze the bio-signal data and to extract the relevant information, such as arrhythmia and seizure. -
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MASLua
Multi-agent system modeling with Lua
A framework to simulate systems of agents in Lua on a 2D grid map, with modules for describing agent behavior and communication. A working example of a taxi fleet is given. The "basic" version uses conventional belief-desire-intention module (BDI.lua) for agent programming and a textual I/O. The "basic_EFSSM" version uses only state-oriented programming for agents. (Available soon.) --- Ribas-Xirgo, Ll.: Multi-agent system model of taxi fleets. In Advances in Physical Agents II, Springer... -
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ruia
Async Python framework for fast and flexible web scraping spiders
...Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. It also supports middleware and plugin systems that allow customization of request handling, response processing, and additional functionality. -
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bimg
Go package for fast high-level image processing
bimg is a Go image-processing library that exposes high-level operations through the fast libvips C library. It is designed to minimize memory use while processing images efficiently in production applications. Developers can resize, crop, rotate, zoom, watermark, convert, and manipulate image metadata through a compact API. JPEG, PNG, and WebP are supported natively, while properly configured libvips builds add formats such as TIFF, PDF, GIF, SVG, and AVIF. ... -
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Surface Defect Detection Dataset Papers
Constantly summarizing open source dataset and critical papers
At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally speaking, imaging schemes are usually designed by using the different properties of the inspected surface or defects. A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. ...
