1 dépôt
Awesome GitHub RepositoriesCoordinate-Based Spatial Sampling
Techniques for extracting image patches from large datasets based on geographic coordinates.
Distinct from Coordinate-Based Extraction: Shortlist candidates focus on audio, telemetry, or text, not geographic coordinate sampling
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Awesome Coordinate-Based Spatial Sampling GitHub Repositories
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- torchgeo/torchgeo
torchgeo/torchgeo
4,077Voir sur GitHubTorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
Extracts small image patches from large-scale geospatial datasets using coordinate-based samplers.
Pythoncomputer-visiondatasetsdeep-learning
