Showing 5 open source projects for "amped five software"

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  • 1
    PI-Based Image Encoder / Converter

    PI-Based Image Encoder / Converter

    Python code able to convert / compress image to PI (3.14, π) Indexes

    ...ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
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  • 2

    ImageJ2x

    Java Image Processing Program

    ImageJ2x is medical image processing program inspired by NIH Image for the Macintosh. It can display, edit, analyze, process, save and print 8-bit, 16-bit and 32-bit images. There can be many image formats including TIFF, GIF, JPEG, BMP, DICOM, PNG, FITS and "raw" and ... Read and supports "stacks" (stack), a series of images that share a single window. The program supports simultaneous that number of windows (images), limited only by available memory. It is multithreaded, so that...
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  • 3

    WrapImaJ

    Multi-platform API for Image Processing systems in Life Sciences

    WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it...
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  • 4

    AlgART Java Libraries

    Open source library for processing arrays and matrices

    AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over...
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  • 5

    StereoWS

    StereoWS developed by UCL-MSSL within the ProVisG project

    Since December 2008, UCL-MSSL developed a platform independent stereo application in collaboration with JPL, NASA as a subtask of EU-FP7 PRoViSG. This work was originally proposed for two months of work, but it was rescheduled to run untill August 2011 after realising its synergetic relationship with other UCL tasks within the ProVisG project. Within this time period, UCL delivered consortium members a stereo application (called StereoWS ver. 1.0), which integrates various practical...
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