3 ms·
I would add that this kind of literal analysis is only useful to train _seeing_. More so, you are training to see in a very specific way. The lines drawn in the
by spython 8y ago
I would add that this kind of literal analysis is only useful to train _seeing_. More so, you are training to see in a very specific way. The lines drawn in the picture by the author to indicate composition, rhythm and stability are quite arbitrary and could be drawn a dozens other ways.
In a way, you train your neural networks to see by looking at images, then, while actively photographing you outsource decision making to your own trained neural networks.
After a while you can predict the best camera position, settings and get a tingling sensation moments before an interesting situation (in street or event photography) happens.
- wenc 8y agoThe Microsoft Pix [1] iOS app can't compose a good picture, but it does take multiple shots and uses algorithms to figure out the best image. I think we may see more algorithmic camera apps in the future, possibly AI powered. [1] https://www.microsoft.com/en-us/microsoftpix https://www.microsoft.com/en-us/microsoftpix