Search Results for "up scale image"
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Showing 979 open source projects for "up scale image"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Enterprise-Scale
The Azure Landing Zones (Enterprise-Scale) architecture
...It also addresses cross-cutting concerns like monitoring, logging, backup, and role-based access control so tenants don’t rediscover the same integration work each time they stand up a service. For cloud platform teams, Enterprise-Scale reduces design debates and provides a baseline that can be extended to meet vertical or regulatory needs. -
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Image Harmonization Dataset iHarmony4
The first large-scale public benchmark dataset for image harmonization
This repository provides the iHarmony4 dataset, which is a large-scale dataset designed for image harmonization tasks. Image harmonization involves adjusting the appearance of a foreground in a composite image so that it is consistent with the background (in color, tone, illumination, etc.). The iHarmony4 dataset comprises four sub-datasets (HCOCO, HAdobe5k, HFlickr, Hday2night), each making composite images by combining a foreground from one image with a background from another, along with associated ground truth harmonized images and foreground masks. ... -
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Z-Image
Image generation model with single-stream diffusion transformer
Z-Image is an efficient, open-source image generation foundation model built to make high-quality image synthesis more accessible. With just 6 billion parameters — far fewer than many large-scale models — it uses a novel “single-stream diffusion Transformer” architecture to deliver photorealistic image generation, demonstrating that excellence does not always require extremely large model sizes. -
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pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
pix2pixHD is a PyTorch-based implementation of a conditional generative adversarial network designed for high-resolution image-to-image translation, capable of producing photorealistic outputs at resolutions up to 2048×1024. It is widely used to convert structured inputs such as semantic label maps into realistic images, making it particularly valuable in applications like autonomous driving simulation, face synthesis, and scene generation. The model improves upon earlier GAN approaches by introducing multi-scale generators and discriminators that enable stable training and fine detail generation at large resolutions. ... -
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Image Fusion
Deep Learning-based Image Fusion: A Survey
This repository is a survey / code collection centered on deep learning–based image fusion (e.g. fusing infrared + visible light images, multi-modal fusion) methods. It catalogs many fusion algorithms (e.g. DenseFuse, FusionGAN, NestFuse, etc.), links to code implementations, and describes evaluation metrics. The repository includes a “General Evaluation Metric” subfolder containing objective fusion metrics. It is not a single monolithic tool, but rather a curated reference and aggregation... -
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Spegel
Stateless cluster local OCI registry mirror.
Spegel is a distributed container image registry mirror designed to speed up container image pulls in large-scale Kubernetes clusters. It locally mirrors container images to cluster nodes, reducing latency and bandwidth consumption during container deployments. Spegel integrates natively with containerd and CRI-O, ensuring seamless operation in container runtimes without changing workflows. -
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Exclusively Dark Image Dataset
ExDARK dataset is the largest collection of low-light images
The Exclusively Dark (ExDARK) dataset is one of the largest curated collections of real-world low-light images designed to support research in computer vision tasks under challenging lighting conditions. It contains 7,363 images captured across ten different low-light scenarios, ranging from extremely dark environments to twilight. Each image is annotated with both image-level labels and object-level bounding boxes for 12 object categories, making it suitable for detection and classification tasks. The dataset was created to address the lack of large-scale low-light datasets available for research in object detection, recognition, and enhancement. It has been widely used in studies of low-light image enhancement, deep learning approaches, and domain adaptation for vision models. ... -
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Wan2.1
Wan2.1: Open and Advanced Large-Scale Video Generative Model
...The model supports text-to-video and image-to-video generation tasks with flexible resolution options suitable for various GPU hardware configurations. Wan2.1’s architecture balances generation quality and inference cost, paving the way for later improvements seen in Wan2.2 such as Mixture-of-Experts and enhanced aesthetics. It was trained on large-scale video and image datasets, providing generalization across diverse scenes and motion patterns. -
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Laravel Image Optimizer
Optimize images in your Laravel app
This package is the Laravel 6.0 and up-specific integration of spatie/image-optimizer. It can optimize PNGs, JPGs, SVGs, and GIFs by running them through a chain of various image optimization tools. The package will automatically detect which optimization binaries are installed on your system and use them. -
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Wan2.2
Wan2.2: Open and Advanced Large-Scale Video Generative Model
...The model is trained on significantly larger datasets than its predecessor, greatly enhancing motion complexity, semantic understanding, and aesthetic diversity. Wan2.2 also open-sources a 5-billion parameter high-compression VAE-based hybrid text-image-to-video (TI2V) model that supports 720P video generation at 24fps on consumer-grade GPUs like the RTX 4090. It supports multiple video generation tasks including text-to-video. -
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Re-image the Windows
These scripts to configure a ready-to-use Windows environment
Reimage-Windows is a repo for automating and documenting the process of reinstalling or “reimaging” Windows, turning what is normally a manual, error-prone chore into a repeatable pipeline. It bundles scripts, configuration, and notes so that after a clean Windows install you can run one or two commands to get your environment back. The project is aimed at people who rebuild machines often, maintain several PCs, or just want a disaster-recovery style setup for Windows. It encourages treating... -
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Actions Runner Controller (ARC)
Kubernetes controller for GitHub Actions self-hosted runners
Actions Runner Controller (ARC) is a Kubernetes operator that orchestrates and scales self-hosted runners for GitHub Actions. With ARC, you can create runner scale sets that automatically scale based on the number of workflows running in your repository, organization, or enterprise. Because controlled runners can be ephemeral and based on containers, new runner instances can scale up or down rapidly and cleanly. You can set up ARC on Kubernetes using Helm, then create and run a workflow that uses runner scale sets. -
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Image Crop Picker
iOS/Android image picker with support for camera, video, etc.
Image Crop Picker is an iOS/Android image picker with support for camera, video, configurable compression, multiple images and cropping. Module is creating tmp images which are going to be cleaned up automatically somewhere in the future. If you want to force cleanup, you can use clean to clean all tmp files, or cleanSingle(path) to clean single tmp file. -
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. -
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Waifu2x GUI
An app that upscales anime-styled images, gifs, and videos
...Upscale multiple images (or multiple frames of an animated image/video) concurrently. Change the upscaler (waifu2x or Real-ESRGAN Anime). -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
...Release of FP8 model weights to reduce GPU memory usage / improve efficiency. Parallel inference code to speed up sampling, utilities and tests included. -
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Homebridge Raspberry Pi Image
Homebridge Raspberry Pi Image based on Raspberry Pi OS Lite
This project provides a free Raspbian-based Raspberry Pi image with Homebridge and Homebridge Config UI X pre-installed. This image also provides a command called hb-config which helps you keep Node.js up-to-date, perform maintenance on your Homebridge server, and install additional optional software such as Pi Hole and deCONZ. The Homebridge service is installed using the method described in the Raspberry Pi Installation Guide on the Homebridge project wiki. ... -
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Pix
Image management application
Pix is an image management application with image viewing, browsing, organizing and editing capabilities. It is part of the X-Apps project, which aims at producing cross-distribution and cross-desktop software. Pix supports numerous image types including: BMP, JPEG, GIF, PNG, TIFF, TGA, ICO and XPM; with optional support for RAW and HDR (high dynamic range) images. It is also able to view EXIF data attached to JPEG images. Pix has its own set of image editing tools that enable you to... -
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Selenium
Browser automation framework and ecosystem
Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should) also be automated as well. If you want to create robust, browser-based regression automation suites and tests, scale and distribute scripts across many environments, then you want to use Selenium WebDriver, a collection of language specific bindings to drive a browser - the way it is meant to be driven. ... -
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Depth Pro
Sharp Monocular Metric Depth in Less Than a Second
Depth Pro is a foundation model for zero-shot metric monocular depth estimation, producing sharp, high-frequency depth maps with absolute scale from a single image. Unlike many prior approaches, it does not require camera intrinsics or extra metadata, yet still outputs metric depth suitable for downstream 3D tasks. Apple highlights both accuracy and speed: the model can synthesize a ~2.25-megapixel depth map in around 0.3 seconds on a standard GPU, enabling near real-time applications. ... -
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fastdup
An unsupervised and free tool for image and video dataset analysis
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale. -
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Easy Diffusion
An easy 1-click way to create beautiful artwork on your PC using AI
...It provides a browser-based user interface that runs locally, allowing users to type text prompts and immediately generate images directly within their web browser, democratizing access to powerful text-to-image models for artists and hobbyists alike. The project abstracts away environment setup, dependencies, and model installation — tasks that can be daunting to beginners — and instead lets users focus on creative experimentation with prompt phrasing, model parameters, and image output settings. Because it’s designed to be easy to install and use, EasyDiffusion’s interface includes options for queuing multiple jobs, applying modifiers like upscaling or face correction, and adjusting generation parameters like guidance scale and resolution. -
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InternVL
A Pioneering Open-Source Alternative to GPT-4o
InternVL is a large-scale multimodal foundation model designed to integrate computer vision and language understanding within a unified architecture. The project focuses on scaling vision models and aligning them with large language models so that they can perform tasks involving both visual and textual information. InternVL is trained on massive collections of image-text data, enabling it to learn representations that capture both visual patterns and semantic meaning. ... -
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FLUX.2
Official inference repo for FLUX.2 models
FLUX.2 is a state-of-the-art open-weight image generation and editing model released by Black Forest Labs aimed at bridging the gap between research-grade capabilities and production-ready workflows. The model offers both text-to-image generation and powerful image editing, including editing of multiple reference images, with fidelity, consistency, and realism that push the limits of what open-source generative models have achieved. -
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ZXing
Barcode scanning library for Java, Android
ZXing or “Zebra Crossing” is an open source multi-format 1D/2D barcode image processing library that’s been implemented in Java, and also comes with ports to other languages. It currently supports the following formats: UPC-A and UPC-E EAN-8 and EAN-13 Code 39 Code 93 Code 128 ITF Codabar RSS-14 (all variants) RSS Expanded (most variants) QR Code Data Matrix Aztec ('beta' quality) PDF 417 ('alpha' quality) MaxiCode ZXing is made up of several modules, including a core image decoding library, JavaSE-specific client code, and Android client Barcode Scanner. ...
