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Popular posts from this blog

🎉 Exciting News: RIVeR is Going Open Source! 🚀

 We are thrilled to announce that RIVeR will soon be open source and developed in Python and JavaScript ! 🐍💻 This exciting development is part of the RIVeR-LAC project , which recently won the WMO HydroHub Innovation Call for Latin America and the Caribbean ! 🏆🌎 The RIVeR-LAC project aims to revolutionize hydrometric monitoring in the region by introducing innovative technologies and best practices. 🌊📊 By making RIVeR open source, we hope to foster collaboration and innovation within the community, making advanced hydrometric tools accessible to all. 🤝✨ Stay tuned for more updates by following our X accounts: @RIVeR_LAC and @ORUS_cam ! 📲💡 Thank you for your continued support! 🙏💙
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Update RIVeR 2.6 ! 🚀 #BatchProcessing #ParallelComputing

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RIVeR v2.6 is finally out and it comes with the very asked feature of batch processing and parallel processing ! Batch processing is specially designed to process many videos recorded from a fixed camera.  You can now use RIVeR not only on Windows but also on IOS🍏 and Linux🐧 ! What is new in details ? In the main menu: Batch processing !🤘 Manual Tracking feature  Embedded PIVlab 2.58 (Release September2022) Parallel processing 🚀 Fixed minor bugs In the discharge module: Added (+ and -) STD area on the velocity profile Added 5% and 95% percentile area on the velocity profile Display of velocities from manual tracking and possibility to use thes value for discharge computation. Fixed minor bugs We hope that you enjoy  and thanks again for the feedback ! Stay tuned because Good news is coming !
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📢 Introducing RIVeR 3 – Now Open-Source and More Powerful Than Ever

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Hi everyone, If you’ve ever downloaded or used the earlier MATLAB version of RIVeR from this blog — first of all, thank you . Your interest, feedback, and questions have helped shape what comes next. I’m excited to share that the next generation is here: 🎉 RIVeR 3 is now available! 🚀 What’s New in RIVeR 3 ✅ Fully open-source and free to use ✅ Rewritten from the ground up in Python + React ✅ No more MATLAB dependencies or license requirements ✅ Modern, intuitive graphical interface with guided workflows ✅ Multilingual : English, Spanish, and French ✅ Easy-to-install binaries for Windows, macOS, Ubuntu, and more ✅ Powerful Command Line Interface (CLI) for batch workflows ✅ Automatic HTML reports for documentation and sharing ✅ Developed as part of the RIVeR-LAC project , supported by WMO HydroHub and IDB RIVeR 3 is the result of everything we’ve learned so far — and it’s built for real-world hydrometric monitoring using Large-Scale Particle Image Velocimetry (LSPIV) . ...
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