Search Results for "image analysis"
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Showing 316 open source projects for "image analysis"
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Static Analysis Tools for PHP
Docker image that provides static analysis tools for PHP
Docker image providing static analysis tools for PHP. The list of available tools and the installer is actually managed in the jakzal/toolbox repository. Docker image with quality analysis tools for PHP. To run the selected tool inside the container, you'll need to mount the project directory on the container with -v "$(pwd):/project". Some tools like to write to the /tmp directory (like PHPStan, or Behat in some cases), therefore it's often useful to share it between docker runs, i.e. with -v "$(pwd)/tmp-phpqa:/tmp". ... -
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MatImage
Image Processing library for Matlab
matImage is an open-source MATLAB library for image processing and analysis. It provides a variety of tools for image enhancement, segmentation, and feature extraction. It’s especially useful for users working on biomedical images or those needing detailed image analysis in MATLAB. -
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Sherloq
An open source digital image forensic toolset
Sherloq is a research-oriented toolkit designed for digital image forensics, providing an integrated environment to experiment with algorithms for image analysis and tampering detection. Rather than functioning as an automated decision-making system, it serves as a companion tool for researchers, enthusiasts, and students who want to explore forensic techniques from scientific literature and workshops. -
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reverse-SynthID
Reverse engineering Gemini's SynthID detection
Reverse-SynthID is a research-focused project that analyzes and reverse-engineers Google’s SynthID watermarking system used in AI-generated images. It leverages signal processing and spectral analysis techniques to identify hidden watermark patterns without access to proprietary encoding methods. The project introduces a multi-resolution “SpectralCodebook” that maps watermark characteristics across different image sizes. Using this approach, it can detect SynthID watermarks with high accuracy and selectively reduce or remove them through frequency-domain manipulation. ... -
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SimpleITK
A layer built on top of the Insight Toolkit (ITK)
SimpleITK is an image analysis toolkit with a large number of components supporting general filtering operations, image segmentation and registration. It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK. SimpleITK itself is written in C++ but is available for a large number of programming languages. -
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Large Language Models (LLMs)
Connect MATLAB to LLM APIs, including OpenAI® Chat Completions
This repository enables MATLAB to connect with large language models (LLMs) such as OpenAI's ChatGPT, DALL-E, Azure OpenAI, and Ollama, integrating their natural language processing and image generation capabilities directly within MATLAB environments. It facilitates creating chatbots, summarizing text, and image generation, among other tasks. -
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video-compare
Split screen video comparison tool using FFmpeg and SDL2
...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 options to enhance analysis workflows. Users can visually compare codecs, scaling algorithms, and other transformations to evaluate quality differences. The application can also handle image sequences, extending its use beyond standard video files. Overall, it provides a powerful environment for visual quality assessment and debugging. -
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GPT Discord
A robust, all-in-one GPT interface for Discord
GPTDiscord is an all-in-one AI bot that brings ChatGPT-style workflows directly into Discord. It supports long-running conversations, model settings, multimodal image understanding, and generated images. The bot can answer questions using custom documents, websites, PDFs, and Discord channel history as context. It also includes internet-connected chat, AI moderation, translation, usage tracking, and automatic retries when upstream requests fail. More advanced setups can use code interpretation, data analysis, vector search, and document indexes for richer server workflows. ... -
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YPrompt
Exploit user needs through dialogue and generate prompt words
...Users can compare prompt variants, preserve revisions, and roll back to earlier versions. An interactive playground renders outputs immediately so changes can be evaluated without leaving the application. Experimental image tools support multi-turn generation and editing, reference-image uploads, prompt translation, reverse prompt extraction, and prompt quality analysis. Authentication options include local accounts and OAuth providers, while storage can use SQLite or MySQL. The interface is responsive and designed for both desktop and mobile use. -
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CompressO
Convert any video/image into a tiny size. 100% free & open-source
compressO is a cross-platform, open-source multimedia compression application designed to reduce the size of videos and images while preserving visual quality. Built using modern frameworks such as Rust and Tauri, it runs locally on the user’s machine, ensuring fast performance and complete privacy without requiring cloud processing. The application supports a variety of media formats and provides controls for adjusting compression levels, resolution, and output quality. In addition to... -
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Clair
Vulnerability Static Analysis for Containers
Clair is an application for parsing image contents and reporting vulnerabilities affecting the contents. This is done via static analysis and not at runtime. Clair v4 utilizes the ClairCore library as its engine for examining contents and reporting vulnerabilities. At a high level you can consider Clair a service wrapper to the functionality provided in the ClairCore library. -
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dive
A tool for exploring each layer in a docker image
...This can be adjusted to show changes for a specific layer, or aggregated changes up to this layer. The lower left pane shows basic layer info and an experimental metric that will guess how much wasted space your image contains. This might be from duplicating files across layers, moving files across layers, or not fully removing files. Both a percentage "score" and total wasted file space is provided. You can build a Docker image and do an immediate analysis with one command: dive build -t some-tag . -
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Scanopy
Clean network diagrams, One-time setup, zero upkeep
Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. -
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VoxelMorph
Unsupervised Learning for Image Registration
...Once the model has been trained, it can rapidly compute the transformation required to register new image pairs, significantly reducing computational time compared to classical registration algorithms. The framework supports both supervised and unsupervised learning approaches and is commonly used in medical imaging applications such as MRI alignment, anatomical analysis, and longitudinal studies. -
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EMBA
The firmware security analyzer
...EMBA is a command line tool with the possibility to generate an easy-to-use web report for further analysis. EMBA assists the penetration testers and product security teams in the identification of weak spots and vulnerabilities in the firmware image. EMBA provides as much information as possible about the firmware, that the tester can decide on focus areas and is responsible for verifying and interpreting the results. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
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Blender GIS
Blender addons to make the bridge between Blender and geographic data
Import in Blender most commons GIS data format, Shapefile vector, raster image, geotiff DEM, OpenStreetMap XML. There are a lot of possibilities to create a 3D terrain from geographic data with BlenderGIS, check the Flowchart to have an overview. Display dynamics web maps inside Blender 3d view, requests for OpenStreetMap data (buildings, roads, etc.), get true elevation data from the NASA SRTM mission. Manage georeferencing information of a scene, compute a terrain mesh by Delaunay triangulation, drop objects on a terrain mesh, make terrain analysis using shader nodes, set up new cameras from geotagged photos, set up a camera to render with Blender a new georeferenced raster. -
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Obsidian Local GPT
Local Ollama and OpenAI-like GPT's assistance for maximum privacy
...It integrates deeply with Obsidian’s structure by pulling context from backlinks, linked notes, and even external files like PDFs to enhance responses. The system also supports multimodal capabilities, including image analysis when paired with compatible models. Users can create reusable prompts, install community-provided actions, and manage workflows directly inside their note-taking environment. -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,... -
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Scenery Zine
Turn ordinary images into pages worth staying on
Gathered Scenes Zine is a collection of Codex image-generation skills that turns ordinary photographs into tactile editorial artworks. It offers two complementary paths: one preserves the source photo as a visual anchor, while the other distills the scene into an original illustration. Each workflow first studies subjects, spacing, color, motion, negative space, and emotional tension. It then reduces the scene to its most important relationships instead of applying a fixed filter. The visual... -
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Docker Scout CLI
Docker Scout CLI
Designed to identify security issues, outdated packages, and potential compliance problems within container images, Docker Scout surfaces dependency vulnerabilities so you're protected. Docker Scout enhances your development process with detailed image analysis and proactive remediation tools. It integrates seamlessly with Docker Desktop and Docker Hub to improve your security and efficiency. Docker Scout’s local vulnerability analysis scans your images for potential security issues before they reach production. By detecting vulnerabilities early, it helps you ensure safer deployments and reduce the risk of security breaches in your applications. -
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Better Notes for Zotero
Everything about note management
...It supports linked notes so researchers can connect ideas, sources, and annotations across their libraries. A template system can automate literature notes, metadata analysis, summaries, and repeatable research workflows. Notes can synchronize bidirectionally with Markdown files and export to Markdown, DOCX, PDF, or mind map formats. Editor enhancements add outlines, relationship views, image tools, and multiple note tabs or windows. Optional AI integrations can assist with writing while keeping the surrounding workflow inside Zotero. ... -
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AtomAI
Deep and Machine Learning for Microscopy
AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless deployment of machine learning algorithms including deep convolutional neural networks, invariant variational autoencoders, and decomposition/unmixing techniques for image and hyperspectral data analysis. ... -
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MolecularGraph.jl
Graph-based molecule modeling toolkit for cheminformatics
MolecularGraph.jl is a graph-based molecule modeling and chemoinformatics analysis toolkit fully implemented in Julia. -
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Claude Engineer v3
Claude Engineer is an interactive command-line interface (CLI)
Claude Engineer v3 is a self-improving AI software development assistant built around Claude 3.5 Sonnet. It provides both a command-line interface and a modern web interface for coding-related workflows. The project is designed to let Claude identify missing capabilities, generate new tools, load them dynamically, and use them in later conversations. It includes real-time token tracking, conversation state management, tool usage indicators, and structured configuration options. The web...
