Search Results for "image"
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Showing 8 open source projects for "image"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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imagor
Fast, secure image processing server and Go library, using libvips
Imagor is a fast, Docker-ready image processing server built in Go, ideal for on-the-fly image resizing, cropping, filtering, and optimization. It supports a wide variety of image formats and integrates seamlessly with cloud storage backends like AWS S3 and Google Cloud Storage. With support for HTTP and gRPC APIs, Imagor can be used in production environments to serve optimized images dynamically with high performance and low latency. -
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bild
Image processing algorithms in pure Go
...All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. -
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PhotoPrism
AI-Powered Photos App for the Decentralized Web 🌈💎✨
PhotoPrism® is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud. Our mission is to provide the most user- and privacy-friendly solution to keep your pictures organized and accessible. That's why PhotoPrism was built from the ground up to run wherever you need it, without compromising freedom, privacy, or functionality. -
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Simple-HEIC-Convert
Windows GUI desktop app for convert HEIC to PNG and JPEG
This is a windows x64 GUI reference program that can convert HEIC file formats to PNG or JPEG, and supports multi-task conversion. It is an offline free program. No need to install, just run it directly. -
Say goodbye to broken revenue funnels and poor customer experiencesLeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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Simple-PNG-2-ICON-Convert
Windows GUI desktop for convert PNG to ICON files
This is a simple Windows UI desktop program that does not require installation and runs locally. It currently supports PNG to ICON file conversion. Other image formats will be added later. -
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ascii-image-converter
A cross-platform command-line tool to convert images into ascii art
ascii-image-converter is a command-line tool that converts images into ASCII art and prints them out onto the console. Available on Windows, Linux, and macOS. -
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Pixelizer
An efficient image pixelizer written in go
Pixelizer is a command-line tool written in Go that transforms images into pixelated versions. Designed for simplicity and efficiency, it allows users to apply pixelation effects with customizable parameters directly from the terminal. Pixelizer supports various output options, including animated GIFs and ANSI-rendered previews, making it a versatile tool for developers and artists working with pixel art. -
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Primitive Pictures
Reproducing images with geometric primitives
Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape.
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