Search Results for "fast linux" - Page 2
Sort By:
Showing 30 open source projects for "fast linux"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
1
This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.
-
2
LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains features such as automated image processing, data analysis and interactive 2D/3D graphs.
-
3
etdips: Exploratory Two/Three Dimensional Image Processing Software Win 2000/NT/9x based system for 3D image visualization and analysis Fast Ray Cast, Hybrid, MIP, X-Ray Volume Rendering Iso-surface extraction and Surface Rendering Key-frame based
-
4
Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)
-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
5
geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and...
