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+ # Context Aggregation Network
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+ This is the official implementation code of paper ` Context aggregation network for semantic labeling in aerial images ` .
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+ ## Requirements
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+ * pytorch>=0.4
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+ * [ pytorch-semseg] ( https://github.com/meetshah1995/pytorch-semseg )
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+
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+ ## Getting started
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+ 1 . Clone pytorch-semseg repo.
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+ 2 . Put ` CAN.py ` in the folder ` pytorch-semseg/ptsemseg/models `
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+ 3 . Change ` pytorch-semseg/ptsemseg/models/__init__.py ` correspondingly.
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+ 4 . Add your own config file to ` pytorch-semseg/configs ` folder.
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+ 5 . Add your own dataloader file to ` pytorch-semseg/ptsemseg/loader ` folder.
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+ 6 . Change ` pytorch-semseg/ptsemseg/loader/__init__.py ` correspondingly.
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+ 7 . Run ` train.py ` by following the specific orders in ` pytorch-semseg ` repo.
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+ ## Dependency
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+ This repo is heavily based on the framework provided by [ pytorch-semseg] ( https://github.com/meetshah1995/pytorch-semseg ) .
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