Smart Irrigation custom component for Home Assistant
Rain Rendering for Evaluating and Improving Robustness to Bad Weather (Tremblay et al., 2020) (S. S. Halder et al., 2019)
[ECCV2024] "Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal", https://arxiv.org/abs/2407.16957
[TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.
Matrix rain effect using python 3 and curses
Library for rain estimation and detection built with PyTorch. This library provides an implementation of algorithms for extracting rain-rate using data from commercial microwave links (CMLs). Addinaly this project provide an example dataset with data from two CMLs and implementation of performance and robustness metrics
submit urls.txt to web.archive.org using GitHub Actions workflow
Examples of surface precipitation phase discrimination using open data meteorological observations.
Creating a simulation of cloud growth and formation using Pygame
Determine where water will flow to based on height GIS data
Access open data gribs at any requested time stamp by efficiently parsing and utilizing optical flow methods to advect relevant parameters via a FastAPI interface.
raddo helps you find, download, sort and preprocess RADOLAN weather radar precipitation data for further usage.
Tools for generating a rainrate composite using Helsinki metropolitean area weather radars.
RainGAN, a generative model that enables a generation of a realistic, complex rain field that is conditioned on user parameters such as max peak, number of peaks, etc.
Radar based real-time precipitation forecasts and precipitation data for Germany
Simulate rain with random lightning strikes and thunder on Philips Hue lamps and Sonos speakers.
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