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Copyright (c) 2020 Matthias Fey <[email protected]> | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in | ||
all copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN | ||
THE SOFTWARE. |
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include LICENSE | ||
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recursive-include figures * | ||
recursive-include examples * |
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# HybridGraph | ||
<h1 align="center">Image Matching Using Hybrid Graph Neural Networks</h1> | ||
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PyTorch implementation of Image Keypoint Matching for Graph Neural Networks. Code based on [DGMC](https://github.com/rusty1s/deep-graph-matching-consensus). To run the aglorithm presented in the paper use: | ||
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``` | ||
$ cd examples/ | ||
$ python pascal.py | ||
$ python willow.py | ||
$ python pascal_pf.py | ||
``` | ||
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The unmodified scripts use the basline DGMC algorithm. | ||
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## Requirements | ||
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* **[PyTorch](https://pytorch.org/get-started/locally/)** (>=1.2.0) | ||
* **[PyTorch Geometric](https://github.com/rusty1s/pytorch_geometric)** (>=1.5.0) | ||
* **[KeOps](https://github.com/getkeops/keops)** (>=1.1.0) | ||
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## Installation | ||
``` | ||
$ python setup.py install |
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import dgmc.models | ||
import dgmc.utils | ||
from dgmc.models.dgmc import DGMC | ||
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__version__ = '1.0.0' | ||
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__all__ = [ | ||
'dgmc', | ||
'DGMC', | ||
'__version__', | ||
] |
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from .mlp import MLP | ||
from .gin import GIN | ||
from .spline import SplineCNN | ||
from .rel import RelCNN | ||
from .dgmc import DGMC | ||
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__all__ = [ | ||
'MLP', | ||
'GIN', | ||
'SplineCNN', | ||
'RelCNN', | ||
'DGMC', | ||
] |
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