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Sameer Ansari (Sam)
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In this second mini-tutorial I demonstrate using tensorflow to train a model to classify chess pieces from images.

We build and train a single layer neural network that takes in 32x32 grayscale images of chess squares and predict one of 12 chess pieces or an empty square. This combined with the previous post using computer vision to find tiles in a screenshot allows us to predict the layout of a chessboard from a screenshot.

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Amateur hour: I am learning to use a camera + telescope for astro photography,
and generated this image of Jupiter tonight used Registax with ~500 frames from a 30fps video captured using a Canon EOS 5d Mark III mounted to a Orion SpaceProbe 3 (76mm newtonian reflector telescope) with a 2x barlow lens.

In Registax I used a 50% drizzle to upsample, and wavelets to pull out the surface features, finally I color-balanced to remove the blue shift and come closer to true color.

Location is in downtown SF, high light pollution, today was a particularly clear night.
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3/30/16
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