Search Results for "image processing framework" - Page 28
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Showing 1300 open source projects for "image processing framework"
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PyText
A natural language modeling framework based on PyTorch
PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly... -
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uTensor
TinyML AI inference library
uTensor is an embedded machine learning inference framework designed to run neural network models on resource-constrained devices such as microcontrollers and Internet-of-Things hardware. The project focuses on enabling TinyML deployments by translating trained machine learning models into efficient C++ code that can execute directly on embedded systems. Instead of training models on-device, the framework uses an offline workflow that converts trained TensorFlow graphs into optimized inference kernels suitable for constrained environments. ... -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
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Primitive Pictures
Reproducing images with geometric primitives
Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape. -
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ffmpeg.js
Port of FFmpeg with Emscripten
ffmpeg.js is a JavaScript port of the FFmpeg multimedia framework compiled with Emscripten, enabling video and audio processing directly within browsers or Node.js environments. It provides prebuilt modules optimized for web use, balancing performance and file size while supporting common encoding and decoding tasks. By running entirely in JavaScript through asm.js, it allows developers to manipulate media files without requiring native binaries or server-side processing. ... -
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PHP-Webportal
PHP Web Portal based on PHP/MySQL
PHP-Webportal Version 1.1 Final RC2 is now finally aviable for download with cool new features and all Bugfixes! Since Version 1.1 Beta the Webportal is based on HTML 5. You can make easily changes to the code or templates by editing it. Go to Files to get the newest Version of PHP-Webportal. This is an easy to use PHP-Webportal based on PHP7.4/MySQLi for any purpose. (runs on MySQL and MariaDB) The Framework is based on my PHP-Module-Loader script and some Modules that you can... -
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EasyProtector
Simple way to check root/virtual app/emulator/xposed framework
EasyProtector, a simple way to check root/virtual app/emulator/xposed framework/tracer/debugger. Since it's all here, you are welcome to star/fork, even if you raise an issue, I hope this is a useful library (eliminate the initialization operation of the application, avoid more permission requirements, and load as lazy as possible) Mainly to fix a bunch of bugs, see the pictures in the image folder for the adaptation situation, Tencent Legu's old version of XposedCheck code has some code in copy SecurityCheckUtil, the new version can't see it anymore. ... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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Data Science at the Command Line
Data science at the command line
...You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power. -
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usunmessenger
usun Messenger framework for various tasks processing
usun Messenger framework for various tasks processing, messenger systems configuration, plugin-based extensions, etc. -
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MystiQ
Qt5/C++ FFmpeg Media Converter
MystiQ is a cross-platform multimedia converter built with Qt and FFmpeg, designed to provide a modern graphical interface for video and audio processing tasks. It allows users to perform operations such as transcoding, trimming, and format conversion without needing to use command-line tools. The application supports a wide range of codecs and formats, enabling compatibility across devices and platforms. It includes batch processing capabilities, allowing multiple files to be converted... -
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face-api.js
JavaScript API for face detection and face recognition in the browser
...High-level chained methods let developers combine detection and analysis tasks in a compact workflow. Browser applications can draw boxes, labels, landmarks, and results on overlay canvases. Node.js support is available through image and canvas polyfills, with native TensorFlow bindings recommended for faster processing. -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 >= TF >= 1.4.0). Applicability. Many people already have their own ML workflows and want to put a new model on their workflows. TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and... -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the... -
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Roth
Roth is a full-stack enterprise application development framework.
...The servlet component provides a simple and easy way to generate concise controller code with automatic POST processing. The Interface and Client components provide simple and easy components which reduce the code necessary to create UI pages. All components are designed to work in concert to provide a consistent code set, however you have the freedom to use portions with other frameworks as desired. Roth is a continuation and successor of the JpPortal framework. ... -
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PixelCNN
Code for the paper "PixelCNN++: A PixelCNN Implementation..."
...It also includes scripts for reproducing key experimental results from the paper, such as conditional sampling on datasets like CIFAR-10. The project serves as both a research reference and a practical framework for experimenting with autoregressive generative models. Although archived, PixelCNN has influenced a wide range of later work in generative modeling, including advancements in image transformers and diffusion models. -
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videoshow
Simple node.js utility to create video slideshows from images
videoshow is a Node.js utility designed to create video slideshows from a sequence of images using FFmpeg as its processing engine. It allows developers to programmatically generate videos by combining images with optional audio tracks, subtitles, and visual transitions. The tool supports customization of parameters such as frame rate, resolution, bitrate, and codecs, enabling flexible output configurations. It includes both a programmatic API and a command-line interface, making it... -
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jimage
java image for image processing
library for image processing in java -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). ... -
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Fork PeRcolate
A collection of synthesis, signal processing, and image processing
A collection of synthesis, signal processing, and image processing objects originally authored by Dan Trueman and Luke Dubois. Pd port made by Olaf Matthes and help files ported by Martin Dupras. Fixed by Antoine Le Bras for APO33. http://apo33.org The official PeRColate web page can be found at: http://music.columbia.edu/PeRColate -
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disser
LaTeX classes and templates for typesetting dissertations in Russian
LaTeX classes, Makefiles and document templates for typesetting dissertations in Russian -
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Network Function Framework for Go
NFF-Go -Network Function Framework for GO (former YANFF)
NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath.... -
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PyTracking
Visual tracking library based on PyTorch
A general python framework for visual object tracking and video object segmentation, based on PyTorch. Official implementation of the RTS (ECCV 2022), ToMP (CVPR 2022), KeepTrack (ICCV 2021), LWL (ECCV 2020), KYS (ECCV 2020), PrDiMP (CVPR 2020), DiMP (ICCV 2019), and ATOM (CVPR 2019) trackers, including complete training code and trained models. -
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Imaging
High-quality image processing library for Go
This project is an open source image processing library written in Go that focuses on providing simple, efficient, and high-quality image manipulation functionality. It is designed to work with Go’s standard image package while extending it with commonly needed operations such as resizing, cropping, rotating, and filtering. The library emphasizes correctness and image quality, using well-known resampling algorithms to produce consistent results. ... -
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Steganography
Steganography library for Processing
V1.0.2 compatible with both Processing 2 & 3 Hide your images and text in plain sight. A library for Processing that can embed text and images into a carrier image. The hidden image or text is encrypted for additional security and requires a password or better still a pass phrase to retrieve and decrypt the hidden message. There is no source code difference between 1.0.1 and 1.0.2 it simply corrects the library URL in the supporting documentation used by the Processing Foundation.
