Search Results for "image processing framework" - Page 2
Sort By:
Showing 35 open source projects for "image processing framework"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
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.
-
1
Pigo
Fast face detection, pupil/eyes localization
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper. The reason why Pigo has been developed is because almost all of the currently existing solutions for face detection in the Go ecosystem are purely bindings to some C/C++ libraries like OpenCV or dlib, but calling a C... -
2
Revel
A high productivity, full-stack web framework for the Go language
...It gives you a helpful description. Run-time code panic? Revel has you covered. Revel provides routing, parameter parsing, validation, session/flash, templating, caching, job running, a testing framework, and even internationalization. Revel is built around composable middleware called filters, which implement nearly all request-processing functionality. Developers have the freedom to replace the default filters with custom implementations. Already have an application started ? No problems, migrate easily to Revel by passing the path that you want your mux to handle to Revels Mux, and all requests for that path will be passed to that your Http muxer. ... -
3
bimg
Go package for fast high-level image processing
bimg is a Go image-processing library that exposes high-level operations through the fast libvips C library. It is designed to minimize memory use while processing images efficiently in production applications. Developers can resize, crop, rotate, zoom, watermark, convert, and manipulate image metadata through a compact API. JPEG, PNG, and WebP are supported natively, while properly configured libvips builds add formats such as TIFF, PDF, GIF, SVG, and AVIF. ... -
4
imaginary
Fast, simple, scalable, Docker-ready HTTP microservice
Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
5
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. -
6
Network Function Framework for Go
NFF-Go -Network Function Framework for GO (former YANFF)
NFF-Go is a set of libraries for creating and deploying cloud-native Network Functions (NFs). It simplifies the creation of network functions without sacrificing performance. We are now supporting AF_XDP and supporting(almost) getting packets directly from Linux. So you do not need to write 3(three) different applications to process packets coming from different type of drivers of PMDs. You just write everything in NFF-Go, and it can dynamically use whatever you would like underneath.... -
7
Imaging
High-quality image processing library for Go
This project is an open source image processing library written in Go that focuses on providing simple, efficient, and high-quality image manipulation functionality. It is designed to work with Go’s standard image package while extending it with commonly needed operations such as resizing, cropping, rotating, and filtering. The library emphasizes correctness and image quality, using well-known resampling algorithms to produce consistent results. ... -
8
GoCommerce
A headless e-commerce for JAMstack sites
GoCommerce is a lightweight open-source API built in Go that enables developers to add commerce functionality to static websites and JAMstack applications. The project focuses on handling the backend aspects of online stores, including order processing and payment management, while allowing the frontend to remain completely static. Because it is designed for headless commerce architectures, developers can build storefront interfaces using any frontend framework while relying on GoCommerce to manage transactions. The API integrates with payment providers such as Stripe to process payments securely and supports additional commerce capabilities such as international pricing and tax handling. ... -
9
AEBL
AEBL is a mobile media distribution system
...The current image is a ~680MB 7zip compressed file of it's original 2.7GB size, located on dropbox, here: https://www.dropbox.com/s/lj0r6yia4tsnz8w/140815-aeblpi.img.7z?dl=0 -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
10
smartcrop
smartcrop finds good image crops for arbitrary crop sizes
...It supports different aspect ratios and can be customized to prioritize certain features depending on the use case. smartcrop is designed to be efficient and easy to integrate into applications that require automated image processing. It can be used in web services, content management systems, or media pipelines. Overall, smartcrop provides an intelligent approach to image cropping that improves visual quality.
