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Standalone marching cubes implementation and Python bindings

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imo marching cubes should deliver correct results under the assumption of C-ordered arrays with x as fastest varying index. I added a test that demonstrates that this is currently not...

Cleaned installation by creating a setup.py... Removed boost dependency temporarily from the branch, but that can be added

I do not install boost under windows. Would you please to slightly change the Adjacency from boost to stl? Thanks a lot!

running `march` with some numpy `data` will produce vertex coodinates with flipped `x` and `z` coordinates. Current mitigation: invoke with `march` with `data.T`