Fast and secure standalone server for resizing, processing, and converting images on the fly
- image
- resize-images
- crop-image
- microservice
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Fast and secure standalone server for resizing, processing, and converting images on the fly
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
The DirectX Tool Kit (aka DirectXTK) is a collection of helper classes for writing DirectX 11.x code in C++
Open scientific N-dimensional image processing :microscope: :sparkler:
OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by private and public research grants, OME has been a major force on the international microscopy stage since 2000.
A collection of extensions tools for SVG files, integrated into Microsoft Windows Explorer (for Windows 10 and 11) and a useful SVG Text Editor
Read and write Neuroglancer datasets programmatically.
Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
A collection of tools for painting super-resolution images
Accurate and efficient spot detection for microscopy data
The python-microscopy environment - an open-source package for light microscopy
Gaussian processes and Bayesian optimization for images and hyperspectral data
Pure Python library for reading NIS Elements ND2 images and metadata
ZetaStitcher is a tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
Lattice light-sheet post-processing utility.
A PowerToys plugin to search and copy SVG logos from SVGL.
An interactive image processing program for biologists written in Python.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
Panoptic segmentation algorithms for 2D and 3D electron microscopy images