Search Results for "image processing in java" - Page 6

Showing 3189 open source projects for "image processing in java"

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  • 1
    Fresco

    Fresco

    An Android library for managing images and the memory they use

    Fresco’s image pipeline will load images from the network, local storage, or local resources. To save data and CPU, it has three levels of cache; two in memory and another in internal storage. Fresco’s Drawee shows a placeholder for you until the image has loaded and then automatically shows the image when it arrives. When the image goes off-screen, it automatically releases its memory. A decompressed image - an Android Bitmap - takes up a lot of memory. This leads to more frequent runs...
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  • 2
    PINRemoteImage

    PINRemoteImage

    A thread safe, performant, feature rich image fetcher

    PINRemoteImageManager is an image downloading, processing and caching manager. It uses the concept of download and processing tasks to ensure that even if multiple calls to download or process an image are made, it only occurs one time (unless an item is no longer in the cache). PINRemoteImageManager is backed by GCD and safe to access from multiple threads simultaneously. It ensures that images are decoded off the main thread so that animation performance isn't affected. None of its exposed...
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  • 3
    uCrop

    uCrop

    Image cropping library for Android

    We develop lots of different Android apps at Yalantis, and our experience shows that almost every application we deal with needs image cropping functionality. Image cropping can be used for various purposes, from ordinary adjustment of user profile images to more complex features that involve aspect ratio cropping and flexible image transformations. Since we want to provide all our customers with the best set of tools for image editing functionality, we decided to create uCrop, an image...
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  • 4
    Keras Hub

    Keras Hub

    Pretrained model hub for Keras 3

    Keras Hub is a repository of pre-trained models for Keras 3, offering a collection of ready-to-use models for various machine-learning tasks. KerasHub is an extension of the core Keras API; KerasHub components are provided as Layer and Model implementations. If you are familiar with Keras, congratulations. You already understand most of KerasHub.
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    Siddhi Core Libraries

    Siddhi Core Libraries

    Stream Processing and Complex Event Processing Engine

    ... to various endpoints in real time. Agile development experience with SQL-like query language and graphical drag-and-drop editor supporting event simulation. Lightweight runtime that can natively run on Kubernetes, Docker, VM, or bare metal, and embedded in any Java or Python application. Scalable, and highly available distributed event processing on Kubernetes, with NATS Streaming and Siddhi Kubernetes Operator.
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  • 6
    fastdup

    fastdup

    An unsupervised and free tool for image and video dataset analysis

    fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
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  • 7
    PaddleNLP

    PaddleNLP

    Easy-to-use and powerful NLP library with Awesome model zoo

    PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities Taskflow...
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  • 8
    Alink

    Alink

    Alink is the Machine Learning algorithm platform based on Flink

    Alink is Alibaba’s scalable machine learning algorithm platform built on Apache Flink, designed for batch and stream data processing. It provides a wide variety of ready-to-use ML algorithms for tasks like classification, regression, clustering, recommendation, and more. Written in Java and Scala, Alink is suitable for enterprise-grade big data applications where performance and scalability are crucial. It supports model training, evaluation, and deployment in real-time environments...
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  • 9
    DALI

    DALI

    A GPU-accelerated library containing highly optimized building blocks

    The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding...
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  • 10
    Spring Batch

    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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  • 11
    POT

    POT

    Python Optimal Transport

    This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.
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  • 12
    Apache Sedona

    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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  • 13
    Replicate Flux MCP

    Replicate Flux MCP

    MCP for Replicate Flux Model

    The Replicate Flux MCP is an advanced Model Context Protocol server that empowers AI assistants to generate high-quality images and vector graphics. It leverages Black Forest Labs' Flux Schnell model for raster images and Recraft's V3 SVG model for vector graphics via the Replicate API. ​
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  • 14
    Flink CDC

    Flink CDC

    Flink CDC is a streaming data integration tool

    Apache Flink CDC is a distributed data integration tool that captures data changes in real-time from various databases. It leverages Change Data Capture (CDC) technology to stream data changes into Apache Flink, enabling real-time analytics and data processing. Flink CDC simplifies data pipeline development with its declarative YAML configurations.
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  • 15
    protoactor-go

    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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  • 16
    Segmentation Models

    Segmentation Models

    Segmentation models with pretrained backbones. PyTorch

    ... results (higher metric score and faster convergence). It is not necessary in case you train the whole model, not only the decoder. Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp, however, not all models are supported. Input channels parameter allows you to create models, which process tensors with an arbitrary number of channels.
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  • 17
    Coil

    Coil

    Image loading for Android backed by Kotlin Coroutines

    An image loading library for Android backed by Kotlin Coroutines. Coil performs a number of optimizations including memory and disk caching, downsampling the image in memory, re-using bitmaps, automatically pausing/cancelling requests, and more. Coil adds ~2000 methods to your APK (for apps that already use OkHttp and Coroutines), which is comparable to Picasso and significantly less than Glide and Fresco. Coil's API leverages Kotlin's language features for simplicity and minimal boilerplate...
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  • 18
    MyBatis integration with Spring Boot

    MyBatis integration with Spring Boot

    MyBatis integration with Spring Boot

    MyBatis Spring-Boot-Starter will help you to use MyBatis with Spring Boot.
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  • 19
    PictureSelector

    PictureSelector

    Picture Selector Library for Android

    A PictureSelector for Android platform, which supports obtaining pictures, videos, audio & photos from photo albums, cutting (single picture or multi-picture cutting), compression, theme custom configuration and other functions, and supports dynamic access & an open-source picture selection framework suitable for Android 5.0 + system.
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  • 20
    KubeEdge

    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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  • 21
    mp-html

    mp-html

    Small program rich text component, supports rendering and editing html

    A powerful applet-rich text component. Small program rich text component supports rendering and editing HTML and supports use on WeChat, QQ, Baidu, Alipay, Toutiao, and uni-app platforms. Displaying dynamic HTML rich text is a necessary requirement for many applications. The applet platform does not support dom operations, making this a problem. The built-in rich-text component supports few tags and blocks all events, making it difficult for practical application. Therefore, there is such a...
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  • 22
    Jina

    Jina

    Build cross-modal and multimodal applications on the cloud

    Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP...
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  • 23
    Hazelcast

    Hazelcast

    Open-source distributed computation and storage platform

    ... cluster of cloud instances. A cluster of Hazelcast nodes share both the data storage and computational load which can dynamically scale up and down. When you add new nodes to the cluster, the data is automatically rebalanced across the cluster and currently running computational tasks (known as jobs) snapshot their state and scale with processing guarantees.
    Downloads: 0 This Week
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  • 24
    txtai

    txtai

    Build AI-powered semantic search applications

    txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid...
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  • 25
    Open Asset Import Library

    Open Asset Import Library

    The open-asset-importer-library repository

    ... for use in game engines / realtime rendering systems of any kind, but it is not limited to this purpose. In the past, it has been used in a wide range of applications. Written in C++, it is available under a liberal BSD license. There is a C API as well as bindings to various other languages, including C#, Python and D. Assimp loads all input model formats into one straightforward data structure for further processing.
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