Search Results for "java image processing"
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Showing 130 open source projects for "java image processing"
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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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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. Delivery guarantees can be a dodgy subject. Benthos processes... -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN... -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data... -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
You can use Besu to develop enterprise applications requiring secure, high-performance transaction processing in a private network. A private network is a network not connected to Ethereum Mainnet or an Ethereum testnet. Private networks typically use a different chain ID and proof of authority consensus (QBFT, IBFT 2.0, or Clique). You can also create a local development network using proof of work (Ethash). Instructions for how to get started with developing on the Besu codebase. Please also... -
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Erupt Framework
Pure Java annotation, single class file, rapid development
Pure Java annotation, single class file, rapid development of Admin management background. Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring Boot... -
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Apache InLong
Apache InLong - a one-stop integration framework for massive data
Apache InLong is a one-stop integration framework for massive data that provides automatic, secure and reliable data transmission capabilities. InLong supports both batch and stream data processing at the same time, which offers great power to build data analysis, modeling and other real-time applications based on streaming data. InLong (应龙) is a divine beast in Chinese mythology who guides the river into the sea, and it is regarded as a metaphor of the InLong system for reporting data streams... -
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ElasticJob
Distributed scheduled job framework
... improvement. Job processing capacity is flexible and scalable with the allocation of resources. Execute job on suitable time and assigned resources. Aggregation same job to same job executor. Append resources to newly assigned jobs dynamically. Using ElasticJob can make developers no longer worry about the non-functional requirements such as jobs scale out, so that they can focus more on business coding. -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high... -
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protoactor-go
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
... and thread management, making it easier to write correct concurrent and parallel systems. Grain abstraction, which provides a straightforward approach to building distributed interactive applications, without the need to learn complex programming patterns for handling concurrency, fault tolerance, and resource management. This allows Proto.Actor to leverage in-process performance for realtime stream processing. -
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KubeEdge
Kubernetes Native Edge Computing Framework (project under CNCF)
KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of a cloud part and an edge part, and provides core infrastructure support for networking, application deployment, and metadata synchronization between the cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes. With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition... -
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picocli
Framework for building GraalVM-enabled command line apps
Picocli is a one-file framework for creating Java command-line applications with almost zero code. It supports a variety of command-line syntax styles including POSIX, GNU, MS-DOS and more. It generates highly customizable usage help messages that use ANSI colors and styles to contrast important elements and reduce the cognitive load on the user. Picocli-based applications can have command line TAB completion showing available options, option parameters, and subcommands, for any level of nested... -
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Apache Beam
Unified programming model for Batch and Streaming
Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
... query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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Litho
A declarative framework for building efficient UIs on Android
Litho uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of immutable inputs and the framework takes care of the rest. With code generation, Litho can perform optimisations for your UI under the hood, while keeping your code simple and easy to maintain. Litho can measure and layout your UI ahead of time without blocking the UI thread. By decoupling its layout system from the traditional Android View system, Litho can drop the UI thread... -
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MetalPetal
A GPU accelerated image and video processing framework built on Metal
MetalPetal is an image processing framework based on Metal designed to provide real-time processing for still images and video with easy-to-use programming interfaces. This chapter covers the key concepts of MetalPetal, and will help you to get a better understanding of its design, implementation, performance implications, and best practices. A MTIImage object is a representation of an image to be processed or produced. It does directly represent image bitmap data instead it has all... -
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Emgu CV
Emgu CV is a cross platform .Net wrapper for OpenCV
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. -
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IM is a toolkit for Digital Imaging. IM is based on 4 concepts: Image Representation, Storage, Processing and Capture. The main goal of the library is to provide a simple API and abstraction of images for scientific applications.
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threeddonut
3D donut. Example of frojasg1.com libraries usage
.... - Base classes for formating text on the fly in JTextPanes - Improved JFileChooser and many other functions of all kind: - Basic functions of all kinds. - Accurate image resizing. - Function to process images, translating the image pixels with a direct color transformation function. - Classes to easy the xml file management (without validation) - JDK-17 compatibility -
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NOTE THAT THE SOURCE CODE AND ISSUE TRACKER HAVE NOW MOVED TO GITHUB. FIND US AT https://github.com/GateNLP/ GATE (General Architecture for Text Engineering) is an architecture, framework and development environment for developing, evaluating and embedding Human Language Technology. See http://gate.ac.uk for full details.
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libCIGI
C++ Library for the Common Image Generator Interface
libCIGI (library for Common Image Generator Interface) is a lightweight header only library that provides interfaces for communication between CIGI hosts and image generators. Currently versions 3.0, 3.2 and 3.3 are supported as well as support for the *draft* V4.0 CIGI standard. Additional functionality to the base packet interfaces is provided through external classes so that to the packet headers have no further dependencies. Packet processing is kept simple and a couple of simple helper... -
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The Related Values Processing Framework helps the integration of Process Control Data Historian Systems.
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SiteWhere
An industrial strength open-source application platform for the IoT
SiteWhere is an industrial-strength, open-source IoT Application Enablement Platform that facilitates the ingestion, storage, processing, and integration of IoT device data at a massive scale. The platform leverages a microservices architecture that runs on top of cutting-edge technologies such as Kubernetes, Istio, and Kafka in order to scale efficiently to the loads expected in large IoT projects. SiteWhere embraces a distributed architecture that runs on Kubernetes and provides both... -
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Litemall
litemall = Spring Boot
Litemall is a lightweight e-commerce system built with Spring Boot, MyBatis, and Vue.js, designed for small and medium-sized online retail platforms. It provides a full-featured backend management interface along with customer-facing mobile and web portals. Litemall supports common e-commerce features such as product catalog, order processing, payment integration, user management, and statistical analysis, making it easy to customize and deploy a standalone online store. -
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ARouter
Framework for assisting in the renovation of Android componentization
... to configure transition animation. Support for fragment. Full kotlin support (Look at Other#2). Generate route doc support. Provide IDE plugin for quick navigation to target class. Support Incremental annotation processing. Support register route meta dynamic. Forward from external URLs to internal pages, and parsing parameters. Jump and decoupling between multi-module. Intercept jump process, handle login, statistics and other logic. Cross-module communication, decouple components by IoC.
