pedro
62 lines
1.9 KiB
Markdown
62 lines
1.9 KiB
Markdown
# PlotNeuralNet
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[](https://doi.org/10.5281/zenodo.2526396)
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Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.
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## TODO
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- [X] Python interfaz
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- [ ] Pytorch generate graph arquiture
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- [ ] Add easy legend functionality
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- [ ] Add more layer shapes like TruncatedPyramid, 2DSheet etc
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## Usage
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mkdir my_project
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cd my_project
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vim my_arch.py
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import sys
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sys.path.append('../')
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from core.tikzeng import *
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# defined your arch
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arch = [
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to_head( '..' ),
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to_cor(),
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to_begin(),
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to_Conv( 'conv1', 572, 64, offset="(0,0,0)", to="(0,0,0)" ),
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to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"),
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to_SoftMax( "soft1", "SOFT", 10 ,"(3,0,0)", "(pool1-east)" ),
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to_connection( "pool1", "soft1"),
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to_end()
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]
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def main():
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namefile = str(sys.argv[0]).split('.')[0]
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to_generate(arch, namefile + '.tex' )
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if __name__ == '__main__':
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main()
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bash ../tikzmake.sh my_arch
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## Examples
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Following are some network representations:
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<p align="center"><img src="https://user-images.githubusercontent.com/17570785/50308846-c2231880-049c-11e9-8763-3daa1024de78.png" width="85%" height="85%"></p>
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<h6 align="center">FCN-8</h6>
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<p align="center"><img src="https://user-images.githubusercontent.com/17570785/50308873-e2eb6e00-049c-11e9-9587-9da6bdec011b.png" width="85%" height="85%"></p>
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<h6 align="center">VGG16</h6>
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<p align="center"><img src="https://user-images.githubusercontent.com/17570785/50308911-03b3c380-049d-11e9-92d9-ce15669017ad.png" width="85%" height="85%"></p>
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<h6 align="center">Holistically-Nested Edge Detection</h6>
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