Semantic Segmentation on Cityscapes using Segmentation Models Pytorch
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Updated
Jan 27, 2023 - Python
Semantic Segmentation on Cityscapes using Segmentation Models Pytorch
A full deep learning pipeline for satellite image semantic segmentation (originally designed for detection of built structures) using Segmentation Models PyTorch.
A General Tracking Framework for ML-based Time-Symmetric Tracking.
This project offers an easy, flexible, modular PyTorch implementation for semantic segmentation to minimize configuration, automate training and deployment, and enable customization of models, encoders, losses and datasets through its modular design.
collection of methods to cope with the semantic segmentation DL tasks
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