Search Results for "fast" - Page 2
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Showing 30 open source projects for "fast"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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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.
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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.
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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
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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 ;)
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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.
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
