Search Results for "macos image"
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Showing 9 open source projects for "macos image"
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trdsql
CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN
...The difference from these tools is that the syntax of PostgreSQL or MySQL can be used. Please refer to godoc and _example for usage as a library. Download binary from the releases page(Linux/Windows/macOS). Pull the latest image from the Docker hub. The filename of -out filename option determines the output format(csv, ltsv, json, tbln, raw, md, at, vf, jsonl) and compression format(gzip, bz2, zstd,lz4, xz) by guess. -
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APNGKit
High performance and delightful way to play with APNG format in iOS
The APNGKit project is a high-performance framework for loading, displaying, and animating images in the UIKit / AppKit ecosystem (iOS, macOS, tvOS), specifically targeting the APNG (Animated PNG) image format. Unlike traditional static PNG images, APNG supports frame-by-frame animation with full-color images and transparency — yielding better visual fidelity than GIFs while remaining efficient. APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the standard image/image-view pattern, making it easy for iOS/macOS developers to adopt without learning complex new APIs. ... -
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Posturr
A macOS app that blurs your screen when you slouch
...This approach turns posture correction into an interactive feedback loop that doesn’t require wearables or external sensors, prioritizing privacy because all image processing happens on the device with no cloud transmission. It’s helpful for people who spend long hours working at a desk and want a gentle reminder to maintain ergonomic alignment without intrusive notifications. -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity,... -
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FVim
Cross platform Neovim front-end UI, built with F# + Avalonia
Cross platform Neovim front-end UI, built with F# + Avalonia. Download the latest release package for your system, extract and run FVim! For Windows 7 / Vista / 8.1 / Server 2008 R2 / Server 2012 R2, use the win7-x64 package. For Windows 10, use the win-x64 package -- this version has faster startup. For macOS, it's packaged as an app bundle, unzip and drag it to your applications folder. Use a Windows FVim frontend with a WSL neovim: fvim, wsl. Multi-grid support, try Ctrl-w ge to detach a... -
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MegEngine
Easy-to-use deep learning framework with 3 key features
MegEngine is a fast, scalable and easy-to-use deep learning framework with 3 key features. You can represent quantization/dynamic shape/image pre-processing and even derivation in one model. After training, just put everything into your model and inference it on any platform at ease. Speed and precision problems won't bother you anymore due to the same core inside. In training, GPU memory usage could go down to one-third at the cost of only one additional line, which enables the DTR algorithm. ... -
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RiCPP
C++ Frontend for the RenderMan Interface
RiCPP is a C++ language binding of Pixar's RenderMan(R) interface. It supports RIB (RenderMan Interface Bytestream) and OpenGL output. It is implemented as DLL and runs on Windows XP platforms. After redesigned it will also run on MacOS and Linux. -
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Here you'll find Cocoa Frameworks that simplify DVD playback and archiving, provide advanced image analysis and modification filters, and evaluate complex mathematical expressions with ease. Advance your perspective with Impulse Development.
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QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
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