Showing 4 open source projects for "java image processing"

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  • 1
    Nuke

    Nuke

    Image loading system

    ... and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. Automatically prefetch images ahead of time using either Preheat or native table and collection view prefetching APIs.
    Downloads: 0 This Week
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  • 2

    LogDruid

    Generate charts and reports using data gathered in log files

    An application to gather, aggregate, chart and report information originating from any log files. It uses regular expressions that are constructed graphically and can be tested in the application against samples. Once configured for a specific type of log file set, the gathering and display of the chart for a new files set can be done in just one click. Contains a sample template to handle few log types: Java GC log, OpenDS access log, Apache access log
    Downloads: 0 This Week
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  • 3

    ApproxAdderLib

    Library of Approximate Adders

    ... as hardware designers to evaluate their code and design. To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan.
    Downloads: 0 This Week
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  • 4

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    A collection of software benchmarks developed to compare the performance of Java with C on identical code. No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
    Downloads: 0 This Week
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