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The values obtained by applying the t-SNE algorithm on the compressed data are displayed into several 3D-plots reported below respectively for ''missing'' and ''tombstoning'' synthesized images. Interestingly, the 4 plots related to full typology do not show a separation in the data between ''fakes'' (red dots) and ''reals'' (blue dots), sign that the generated images do not differ too much from the original ones, used to train the proGANs.
The two figures to the utmost right report the plots showing the results of t-SNE on the compressed data, obtained from the dual stream encoder for ''missing'' and ''tombstoning'' synthesized images. In the first case, for ''missing'' class, there is actually no separation between fakes and real of ''upper'' and ''lower'' region sides, a good sign that the generated images are no very different from the original ones. This is quite understandable since the two regions look alike. The situation is visibly different in the plot for the ''tombstoning class'', where two distinct clouds of dots can be seen, confirming a well defined separation between the data related to the ''upper'' and ''lower'' typologies. It is also possible to see that fakes and reals dots, belonging to the same soldering region, are very close to each other, while dots belonging to a different soldering region are distant in the plot, confirming once again that the image generation with the proGAN was successful.
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