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We introduce the PyMatting package for Python which implements various methods to solve the alpha matting problem.

- **Website and Documentation:** [https://pymatting.github.io/](https://pymatting.github.io)
- **Benchmarks:** [https://pymatting.github.io/benchmark.html](https://pymatting.github.io/benchmark.html)
- **Benchmarks:** [https://pymatting.github.io/benchmarks.html](https://pymatting.github.io/benchmarks.html)

![Lemur](https://github.com/pymatting/pymatting/raw/master/data/lemur/lemur_at_the_beach.png)

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- Preconditioners to accelerate the convergence rate of conjugate gradient descent:
- The *incomplete thresholded Cholesky decomposition* (*Incomplete* is part of the name. The implementation is quite complete.)
- The V-Cycle Geometric Multigrid preconditioner
- Readable code leveraging [NumPy](https://numpy.org/), [SciPy](https://www.scipy.org/scipylib/index.html) and [Numba](http://numba.pydata.org/)
- Readable code leveraging [NumPy](https://numpy.org/), [SciPy](https://scipy.org/) and [Numba](http://numba.pydata.org/)

## Getting Started

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