2 个仓库
Awesome GitHub RepositoriesGrid-Based Spatial Sampling
Extraction of image chips using a structured grid pattern and configurable stride.
Distinct from Grid-Based: Shortlist candidates are for QR codes or graph algorithms, not geospatial chip extraction
Explore 2 awesome GitHub repositories matching data & databases · Grid-Based Spatial Sampling. Refine with filters or upvote what's useful.
Awesome Grid-Based Spatial Sampling GitHub Repositories
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- msracver/deformable-convnets
msracver/Deformable-ConvNets
4,116在 GitHub 上查看Deformable-ConvNets 是一个计算机视觉框架和神经网络组件集合，旨在实现可变形卷积神经网络。它提供自适应卷积层和池化实现，根据输入特征修改其感受野，以更好地捕捉图像中物体的几何形状。 该项目支持使用可学习的采样偏移和调制掩码，将卷积网格与目标物体形状对齐。它包含用于可视化卷积和池化层中学习到的偏移的专用工具，从而能够分析网络如何调整其空间感受野。 这些功能被应用于提高目标检测的准确性并优化语义分割。该框架支持通过可变形池化从感兴趣区域提取特征，以将采样区域与实际物体边界对齐。 该实现包含一个用于执行和评估这些专用网络架构的训练流水线。
Modifies spatial sampling patterns based on input geometry to provide a flexible and adaptive receptive field.
Python - torchgeo/torchgeo
torchgeo/torchgeo
4,077在 GitHub 上查看TorchGeo 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 chips in a structured grid pattern with configurable stride to cover specific regions of interest.
Pythoncomputer-visiondatasetsdeep-learning
