Search Results for "linux image" - Page 6
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Showing 255 open source projects for "linux image"
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Smallest possible
Smallest possible syntactically valid files of different types
Smallest possible is a curated repository whose aim is somewhat playful yet useful: collecting the “smallest possible syntactically valid files” across a large variety of programming, scripting, markup, and binary file types. For example, the repository might include the minimal valid HTML file, minimal valid PDF, minimal valid executable, minimal valid image file, and so on. It serves both as a curiosity and as a utility for developers and testers who might need tiny stub files for testing... -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a... -
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Darknet
Convolutional Neural Networks
Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration,... -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU... -
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Ion
Portable suite of libraries and tools for building client applications
Ion is a modular C++ toolkit for building high-performance 2D/3D graphics applications with a strong emphasis on portability, correctness, and developer ergonomics. Rather than a monolithic engine, it offers focused libraries—math, image, GPU resource management, shader utilities, remote inspection, and platform abstractions—that you can adopt à la carte. The rendering layer wraps modern OpenGL/OpenGL ES concepts with a carefully layered API that tracks object lifetimes, deduplicates... -
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases,... -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes... -
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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
Faster-Rcnn is a PyTorch implementation of the Faster R-CNN two-stage object detection model. It is designed for training and evaluating detectors on VOC-format datasets, including VOC07+12 and custom datasets arranged with VOC-style annotations and images. The repository includes scripts for training, prediction, evaluation, annotation generation, and model summary inspection. It supports backbone options through pretrained VGG and ResNet weights, making it useful for comparing feature... -
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Twemoji
Simple library that provides standard Unicode emoji for all platforms
Twitter’s open source emoji has you covered for all your project's emoji needs. With support for the latest Unicode emoji specification, featuring 3,245 emojis, and all for free. As an open source project, attribution is critical from a legal, practical and motivational perspective in our opinion. The graphics are licensed under the CC-BY 4.0 which has a pretty good guide on best practices for attribution. Although there are two kinds of parsing supported by this utility, we recommend you... -
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AugLy
A data augmentations library for audio, image, text, and video
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate... -
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glfx.js
An image effects library for JavaScript using WebGL
glfx.js is a JavaScript image-effects library that uses WebGL to apply real-time filters and transformations directly in the browser. It exposes a simple API where images are uploaded into GPU textures, processed with shader-based filters, and rendered to a WebGL canvas. Because the work is done on the GPU, many effects that would be too slow in pure JavaScript (like complex blurs, lens effects, or tilt-shift) can run interactively, even on large images. The library is structured around... -
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blind-watermark
Blind&Invisible Watermark, image blind watermark, extract watermark
Blind Watermark is a Python library for embedding hidden information inside images and recovering it without the original source image. It uses a DWT-DCT-SVD signal-processing pipeline to place watermarks with minimal visible change. Watermarks can contain text or raw bit arrays and may be protected with separate image and watermark passwords. The package provides both a Python API and command-line interface for embedding and extraction. Its examples evaluate recovery after rotation,... -
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Localization Library
Android In-app language changing library
Header image Android library for in-app language changes support in your application. -
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JavaScript Load Image
Load images provided as File or Blob objects or via URL
JavaScript-Load-Image is a client-side image loading and processing library that focuses on turning File/Blob objects or remote URLs into HTML <img> or <canvas> elements, optionally transformed in the process. It is often used in upload flows where images need to be previewed, resized, rotated, or cropped before being sent to a server, reducing bandwidth and improving user experience. The library can interpret image metadata, including Exif and IPTC tags, and can extract embedded thumbnails... -
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QB64
BASIC for the modern era
QB64 is a modern self-hosting BASIC compiler that brings classic QBasic/QuickBASIC programs into the modern era. It enables legacy code to run on today’s operating systems with minimal modifications, while also introducing new commands and libraries for multimedia, networking, and 64-bit computing. QB64 compiles to C++ and includes a built-in IDE, making it accessible for beginners, hobbyists, and retro programming enthusiasts. It aims to preserve the ease and nostalgia of BASIC while... -
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TensorRT Pro
C++ library based on tensorrt integration
High-level interface for C++/Python. Simplify the implementation of the custom plugin. And serialization and deserialization have been encapsulated for easier usage. Simplify the compilation of fp32, fp16 and int8 for facilitating the deployment with C++/Python in server or embedded device. Models ready for use also with examples are RetinaFace, Scrfd, YoloV5, YoloX, Arcface, AlphaPose, CenterNet and DeepSORT(C++). -
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Image Picker Library for Android
Image Picker for Android, Pick an image from Gallery
Easy to use and configurable library to Pick an image from the Gallery or Capture an image using a Camera. It also allows to Crop and Compress the Image based on Aspect Ratio, Resolution, and Image Size. Almost 90% of the apps that I have developed have an Image upload feature. Along with the image selection, Sometimes I needed a crop feature for my profile image for that I've used uCrop. Most of the time I need to compress the image as the image captured from the camera is more than 5-10... -
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vae
Simple vae and cvae from keras
vae is a collection of Keras experiments implementing variational autoencoders and related generative models. It includes simple VAE and conditional VAE examples along with several alternative architectures. Separate scripts explore CelebA image generation, convolutional VAEs, clustering-oriented variants, hyperspherical latent spaces, and vector-quantized autoencoders. The repository includes sample output from a CelebA training run as a visual reference. Its documented environment uses... -
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Louvre
A small customizable library useful to handle an image gallery
A small customizable image picker. Useful to handle a gallery image pick action built-in your app. -
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Flutter Notebook
Collection of demo projects for Flutter
Flutter-Notebook is a curated collection of small demo projects for Flutter, designed to help developers learn and practice Flutter UI patterns and behaviors by example. The repository gathers many independent “mini apps” (each focused on one or a few features) so that learners can inspect, run, and understand individual Flutter behaviors in isolation. Demo of common UI behaviors (pull-to-refresh, left-swipe delete, JSON deserialization). Examples of state-preserving page... -
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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... -
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ASCII Art
Real-Time ASCII Art Rendering Library
A header-only, C/C++ library that lets you transform an input image or video frame into printable ASCII characters in real-time using a single decision tree. ASCII Art is a single header, C/C++ library developed by PixLab and based on the work of Nenad Markus that let you transform an input image or video frame into printable ASCII characters at real-time using a single decision tree. Real-time performance is achieved by using pixel intensity comparison inside the internal nodes of the tree. -
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gray
Make an image grayscale in all browsers
Make an image gray in all browsers. CSS Styles and jQuery plugin to display images in grayscale. -
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MaLiang
iOS painting and drawing library based on Metal
MaLiang is a painting framework based on Metal. It supports drawing and handwriting with customized textures. The name of "MaLiang" comes from a boy who had a magical brush in a Chinese ancient fairy story. A Canvas is the basic component of MaLiang. You will paint all things on it. Canvas extends from MetalView, which extends from MTKView. MetalView handles all the logic with MetalKit and hides them from you. MaLiang supports the automatic adjustment of stroke size with painting force. 3D...
