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This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. ...

...I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo.

...It supplies cwebp to compress images into WebP and dwebp to decompress them back, making it easy to test quality/size trade-offs across presets and tuning parameters. The GitHub repository is a mirror; the canonical source of truth lives on Chromium’s git, and developer docs are hosted on WebP’s portal. The project underpins WebP support across browsers, imaging libraries, and many native apps thanks to its stable C API. Additional companion repos host test data and demos, including JavaScript builds and timing tests for various platforms. ...

...It is intended to provide researchers and professionals with an accurate and user-friendly means of assessing color variation and discrepancies in digital images according to different metrics. Contacts: Filippo Piccinini (emails: filippo.piccinini@irst.emr.it; f.piccinini@unibo.it) Repository: https://sourceforge.net/p/colori-dt/ How to cite us when using the tool: Filippo Piccinini et al. “Colori-DT: an open-source tool for the quantitative evaluation of differences in microscopy color images”.

This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins.

NOTE: The source repository for this project has been moved to a NEW LOCATION: ************************************************************************************ https://github.com/imagingbook/imagingbook-public ************************************************************************************