Search Results for "depth-violet"

...Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. With Kornia we fill the gap between classical and deep computer vision that implements standard and advanced vision algorithms for AI. Our libraries and initiatives are always according to the community needs.

...Documentation Hub: https://github.com/MeguminBOT/TextureAtlas-Toolbox/tree/main/docs List of supported formats; https://github.com/MeguminBOT/TextureAtlas-Toolbox?tab=readme-ov-file#supported-formats List of supported formats (in-depth): https://github.com/MeguminBOT/TextureAtlas-Toolbox/blob/main/docs/format-reference.md

PGMania is a universal package for processing deep space images. The program provides wide and unique functionality, a powerful and flexible tool with a clear and user-friendly interface. The program performs all image processing cycles for astrophotography, including filtering, cleaning, aligning, image calibrating, stacking, post-processing, format conversion, cropping, rotations, many special operations and much more. PGMania is environmentally friendly - it does not clutter your photos...

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. Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. ...