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Showing 5 open source projects for "set"
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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! Power Management set as High Performance .. in Balanced is slow) -
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key_color_image
Command line app for creating a particular color scale to images
It is a command line application to which you can pass a color, and the application transforms the input images to that color scale image (as if it was a gray scale, but that color instead of gray) In addition, the application allows you to set the global alpha of the image, and translate a particular color to a totally transparent alpha You can also disable alpha component, just in case the input image is a .jpg, or there is any restriction that makes the output image from being saved successfully If you do not know the color code, you can pass a color: -color input and the application will let you move the mouse on the screen, and when you press return, the color of the mouse pointer will be picked. ... -
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ijTools
A set of plugins and tools for ImageJ (Image processing sofware)
A collection of plugins and tools for the ImageJ software. Contains modules for image filtering (directional filtering), segmentation, analysis (perimeter estimation, geodesic diameter...), or visualisation (image overlay). -
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AlgART Java Libraries
Open source library for processing arrays and matrices
...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 matrices, etc. - please see at the site. Almost all classes and methods are thoroughly documented via JavaDoc (you may read full JavaDoc at the site). -
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jIR is an open source project focused on building an open platform for image processing tasks. It is composed of individual algorithms whose task is to extract or compare information in a data set of images.
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