Search Results for "python imaging library"

Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful...

...It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 =============== Alternative software for Windows: Available on Ecwid - https://goo.gl/twBcAq =============== Android App: https://goo.gl/i4NX9K -------------- Chrome app Release Pro: https://goo.gl/p456N5

Clustergrammer is a visualization library built using D3.js that enables intuitive interaction with high-dimensional data. Clustergrammer was built with biological data in mind. Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (Clustergrammer-JS) is built using D3.js and its back-end (Clustergrammer-PY) is built using Python.

Our goal is to find out useful and funny ways for expanding the possibilities of many FOSS by integrating them with other FOSS and proprietary systems. You'll find here many open source plugins and extensions useful to put those FOSS hermits together.