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README.md
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- image-segmentation
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- historical-maps
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- cartography
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---
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# Semantic Segmentation in Historical Maps
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--out-dir predictions/
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```
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`inference.py` is a minimal example: sliding-window prediction with `stride = patch_size // 2`, ImageNet normalization, sigmoid + per-class thresholding, writing one binary PNG per class to `--out-dir`. For the full training and inference pipeline see the [GitHub repository](https://github.com/dav1dclara/cartography-research).
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- image-segmentation
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- historical-maps
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- cartography
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library: pytorch
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---
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# Semantic Segmentation in Historical Maps
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--out-dir predictions/
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```
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+
`inference.py` is a minimal example: sliding-window prediction with `stride = patch_size // 2`, ImageNet normalization, sigmoid + per-class thresholding, writing one binary PNG per class to `--out-dir`. For the full training and inference pipeline see the [GitHub repository](https://github.com/dav1dclara/cartography-research).
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