Healthy Family | Healthy World
The architecture uses recurrence to reuse parameters across different stages of the de-raining process, which reduces the model size while improving its ability to handle complex rain patterns.
Code to run the de-rainer on the provided sample "Rain200L" or "Rain200H" datasets. DIDRPG2EMTL_comp.rar
Settings for hyperparameters and directory paths used during the "comp" (computation/comparison) phase of the research. Performance and Impact The architecture uses recurrence to reuse parameters across
Python implementation (often using PyTorch or TensorFlow). DIDRPG2EMTL_comp.rar
Instead of attempting to remove all rain in a single step, the model decomposes the rain layer into multiple stages. It progressively removes rain streaks by grouping them based on their physical characteristics.
.pth or .ckpt files that allow users to run the de-rain algorithm without training from scratch.