Search Results for "compare images"
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Showing 43 open source projects for "compare images"
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video-compare
Split screen video comparison tool using FFmpeg and SDL2
video-compare is a split-screen video comparison tool written in C++ that enables users to analyze differences between two video sources in real time. It uses FFmpeg libraries and SDL2 to decode and render synchronized playback, allowing precise frame-by-frame comparison. The tool supports videos with different formats, resolutions, and frame rates, making it versatile for testing encoding changes or processing effects. It includes interactive navigation controls and customizable display... -
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pixelmatch
The smallest, simplest JavaScript pixel-level image comparison library
...Compares two images, writes the output diff and returns the number of mismatched pixels. -
3
SAM 2
The repository provides code for running inference with SAM 2
...It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time interactivity even on larger images or constrained hardware. SAM2 comes with pretrained weights and easy-to-use APIs, enabling developers and researchers to integrate promptable segmentation into annotation tools, vision pipelines, or downstream tasks. The project also includes scripts and notebooks to compare SAM2 against SAM on edge cases, benchmarks showing improvements, and evaluation suites to measure mask quality metrics like IoU and boundary error. -
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Visual Regression Tracker
Backend and Frontend application for tracking differences via image
Open source, self-hosted solution for visual testing and managing results of visual testing. Service receives images, performs pixel-by-pixel comparisons with its previously accepted baseline, and provides immediate results in order to catch unexpected changes. Use implemented libraries to integrate with existing automated suites by adding assertions based on image comparison. We provide native integration with automation libraries, core SDK and Rest API interfaces that allow the system to... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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5
Lightweight' GAN
Implementation of 'lightweight' GAN, proposed in ICLR 2021
...You should expect it to be 33% faster and save up to 40% memory. Aim is an open-source experiment tracker that logs your training runs, and enables a beautiful UI to compare them. -
6
city-roads
Visualization of all roads within any city
...The visual style often abstracts away labels and extraneous map features to focus purely on the road network, giving a unique, aesthetic view of urban form and connectivity. Because road topology reflects historical, geographic, and planning decisions, the resulting images serve as both analytical tools and generative art. Developers can integrate it into web pages or interactive dashboards where geographic structure is central, and users can pan/zoom to compare different cities or neighborhoods. -
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Benchee
Easy and extensible benchmarking in Elixir
Library for easy and nice (micro) benchmarking in Elixir. Benchee allows you to compare the performance of different pieces of code at a glance. It is also versatile and extensible, relying only on functions. There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. -
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Unstract
No-code LLM Platform to launch APIs and ETL Pipelines
...Its platform works with a broad variety of file types — from PDFs and spreadsheets to images — and includes integrations with databases, cloud storage providers, and vector databases. -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a... -
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xBRZ
xBRZ: "Scale by rules" - high quality image upscaling filter by Zenju
xBRZ is a high-quality image upscaling filter for creating beautiful HD representations from low-resolution images. Reference implementations for common emulators can be found in the download section: ● DOSBox ● ePSXe ● HqMAME ● ScummVM ● Snes9x ● Kega Fusion http://sourceforge.net/projects/xbrz/files/ Test the xBRZ scaler with your own images and compare against other scalers with the "Scaler Test" tool: http://sourceforge.net/projects/xbrz/files/ScalerTest_1.1.zip -
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...As Image Viewer you have features like color adjusting, image resizer, cropping, screen capture, metadata editing (IPTC, XMP) and much more. With its easy-to-use explorer-like interface, XnView MP allow you to quickly view your images and photos, but also to make image management. You have features like batch rename, batch converter, duplicate image finder, image compare, but you can also create contact sheets, slideshow. XnConvert is a fast and powerful batch image converter, you can convert, resize, watermark, add text, enhance, filter in batch mode. XnResize is a fast and powerful batch image resizer, you can convert, resize in batch mode. ...
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FastPhotoTagger
A fast way to set photo metadata tags
...Add, change, delete, and search the metadata fields of your choice. FastPhotoTagger excels when you have lots of files and lots of metadata. With FastPhotoTagger, you can - Set multiple images to have the same tags - Set individual images to have unique tags - Display all the metadata in an image - Compare and edit all the metadata in several images - Work with your favorite metadata fields: EXIF, XMP, IPTC, etc. - Define hierarchical keywords - View images and slideshows that display tags as captions - Create and search a metadata database FastPhotoTagger has versions for PC and Android. ... -
13
iElectrodes
intracranial electrodes localization toolbox
...You can plan grid and depth electrode array implantations and compare them with the implanted locations. Additional scripts are provided for image coregistration using SPM, Freesurfer pipeline integration, etc. Visit the Wiki tab to learn more about the toolbox. We are trying to make iElectrodes a great toolbox every day. We strongly appreciate your feedback. iElectrodes is developed by Alejandro Blenkmann -
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T81 558
Applications of Deep Neural Networks
Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network... -
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StudioGAN
StudioGAN is a Pytorch library providing implementations of networks
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a new idea. Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT,... -
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Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
...To answer these questions, we introduce a new dataset of human perceptual similarity judgments. We systematically evaluate deep features across different architectures and tasks and compare them with classic metrics. We find that deep features outperform all previous metrics by large margins on our dataset. -
17
D0rganizer
Program to manage data and information
Store collected information and data properly using D0rgnizer (The organizer). Create cases, folders, files, and insert images. Compare information between files, and export data to share with your team. Useful for data collection in investigations, ethical hacking, and more. -
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AyeSpy
A performant visual regression testing tool
Aye Spy is a high-performance visual regression tool to catch UI regressions. Aye Spy takes inspiration from existing projects such as Wraith and BackstopJs. We have found visual regression testing to be one of the most effective ways to catch regressions. It's a great tool to have in your pipeline, but the current solutions on the market were missing one key component we felt was essential for a great developer experience performance. -
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ImageComparer
Search duplicate image by hashes of keypoints.
Search duplicate image by extracting ORB descriptor and compare it with pHash. Finds cropped images. -
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Wraith
A responsive screenshot comparison tool
Wraith is a screenshot comparison tool, created by developers at BBC News. Wraith uses a headless browser to create screenshots of webpages on different environments (or at different moments in time) and then creates a diff of the two images; the affected areas are highlighted in blue. There are two main modes for using Wraith, 'capture' mode and 'history' mode. Wraith has some built-in JavaScript and configuration file templates for you to get started with right away. If you wish to take... -
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NASH OS
Nash Operating System for Modern Ecommerce
The all-built-in-one, automatic, ready-to-go out-of-box, easy-to-use state-of-the-art, and really awesome NASH OS! Over 25,000+ flexible features and controls and all scalable!! The most powerful solution ever built to instantly deliver new heights of online ecommerce enterprise to you. -
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TensorImage
Image classification library for easily training and deploying models
(Visit our github repository at https://github.com/TensorImage/tensorimage for more information) TensorImage is and open source package for image classification. It has a wide range of data augmentation operations that can be performed over training data to prevent overfitting and increase testing accuracy. TensorImage is easy to use and manage as all files, trained models and data are organized within a workspace directory, which you can change at any time in the configuration file,... -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
LearningToCompare_FSL is a PyTorch implementation of the “Learning to Compare: Relation Network for Few-Shot Learning” paper, focusing on the few-shot learning experiments described in that work. The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. -
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PhantomCSS
Visual/CSS regression testing with PhantomJS
CSS regression testing. A CasperJS module for automating visual regression testing with PhantomJS 2 or SlimerJS and Resemble.js. For testing Web apps, live style guides, and responsive layouts. PhantomCSS takes screenshots captured by CasperJS and compares them to baseline images using Resemble.js to test for rgb pixel differences. PhantomCSS then generates image diffs to help you find the cause. Screenshot based regression testing can only work when UI is predictable. It's possible to hide... -
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We presented an effective procedure for generating stereo images by self-calibration and producing quality depth maps by matching of stereo images. We demonstrate that the canopy height distribution can reveal distinctive responses in growth pattern over time, for different varieties subject to the same treatment and for the same variety subjected to different treatments. The results of the procedure are shown to compare favourably with and are indeed more consistent than manual measurements of canopy height (resulting in an R2 of 0.92). ...
