Showing 4 open source projects for "image processing in java"

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  • 1
    Nuke

    Nuke

    Image loading system

    Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and...
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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

    ...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.
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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.
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