Search Results for "python data analysis"

FreeImage is a library project for developers who would like to support popular graphics image formats (PNG, JPEG, TIFF, BMP and others). Some highlights are: extremely simple in use, not limited to the local PC (unique FreeImageIO) and Plugin driven!

An easy to use Java program that allows you to digitize data points off of scanned plots, scaled drawings, or orthographic photographs. Includes an automatic digitization feature that can automatically digitize many types of functional data.

TextureAtlas Toolbox is an all-in-one solution for working with texture atlases and sprite sheets. Extract sprites into organized frame collections and GIF/WebP/APNG animations, generate optimized atlases from individual frames, or convert between 15+ atlas formats. Perfect for game developers, modders, and anyone creating showcases of game sprites. Formerly known as TextureAtlas to GIFs and Frames Licensed under AGPL-3.0 Third-party licenses: See...

Bulk Image Optimizer and Converter (Portable Executable) It allows users to choose the output format (JPEG, PNG, or WebP), set the desired image quality, and remove EXIF data. The optimized images are saved in a separate folder named "optimized" within the input folder. The tool displays progress information, including the number of images processed, the average compression ratio, and the total space saved.

A Python Script I made to split a starfield image into several layers. To be able to use the script, PixInsight with an installed Gaia data catalogue is required, as it needs the exported astrometry data text file.

Gamera is a framework for the creation of structured document analysis applications by domain experts. It combines a programming library with GUI tools for the training and interactive development of recognition systems.

This is a lightweight and fast library for reading and writing any PNM file - PBM, PGM and PPM, up to 16 bits per sample, in ascii/binary format. Library contains also a Python bindings - module pixfiles with PixFile class.

PyramidWorkshop is an image-compression System based upon the scientific work of John Robinson (inventor of BTPC) about image-compression with adaptive linear predictors and is in average more efficient than PNG/JPEG2000.

Python library for parsing, processing and linearising VRML97 files

The Scientific Visualization Artist Tools (SVAT) include converters from the Visualization Toolkit (VTK) to RenderMan Interface Bytestream (RIB) (ASCII and binary files supported), Blender to RenderMan, compilable RenderMan shaders and other utilities.

SVGMath is a command-line utility to convert MathML expressions to SVG, written entirely in Python.

This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.

MilkCrate utilizes a new open-source markup language for tabular musical notation, and a unique wiki-styled web interface for data input. Users may generate a number of different document types to view the tabular notation, including .png, and PostScript

PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!

Read single-band NASA PDS (Planetary Data System) Image files in Python. Query header information and extract binary image data in a format suitable for PIL (Python Imaging Library). Works for Pathfinder and Mars Exploration Rover images, maybe others.

A general purpose passthrough import graphics filter compatible with Microsoft Word 97 or 2003, allows the ability to paste graphics of potentially any format into a Word document. Compiles with Microsoft Visual C++ 6 or above.

Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.

This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.