Episode 3: Data preprocessing
We have done a very important thing in the last episode. Namely, found a suitable way to convert 3D bodies into images which we will be able to feed to the Neural Network (NN).
Image datasets contain giant number of samples nowadays. Similar is wrong for 3d model datasets. They do not contain hundreds of thousands images. They are not well studied and balanced. Also most datasets contain not orientation-aligned bodies.