WIP: Tinymaix

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Example showing how to use CMake to build a library.

The TinyMaix library can probably be integrated, though the bindings may need to not use code derived from TinyMaix to be incorporated.

The current example uses a network trained on the MNIST dataset - licensing of this is unclear, though it is an open dataset. This likely cannot be integrated. Perhaps train a network on the Dry Bean dataset?

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Builds and runs, but recognition rate is poor, see sipeed/TinyMaix#93 . May need to use alternate model.

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@mgorges @ddunsmuir Would appreciate an initial review. There is an extended MNIST dataset which one could use to train a more accurate model. The present model works when one takes a picture of a single number on a white background. The number should be centered in the image. One could use a Maximally Stable Extremal Regions to extract the location of the digit, either programming it directly or using a library such as OpenCVMobile or VLfeat, at the moment cropping is used to extract a square region in the middle of the image.