Assigment 4

 Image Transfer on P5

Response to Dr. Fiebrink's Speech:

There's one part in this speech that intrigues me the most, which is using Machine Learning in creative works does not need to be smart and delicate. It is OK to be dumb and funny, because that's what an unmatured technology genuinely looks like, and it can still be creative. The Edges to Cat example is so fun to play with that I'm kind of addict to it. 


Attempt to do Image Transfer on P5 with Pose Regression

I watched the videos posted and was most interested in the pose regression example. But the RGB value shift looks not "machine learningly" enough, because it's possible to make some similar project without neural network. Therefore I tried to make one with image transfer.

Firstly, I need to load image in data format in P5. I decided to try pixels first, because they retrieve and store image data directly.
Then I console logged the "pixels" object in draw, to test out how much the data is and will it crash Chrome. Yes it did. I tried lower the pixel density several times, and finally it became runnable in browser at pixelDensity(0.05);

I loaded the image data and figured out it's still over 4000 lines. I couldn't imagine p5 on browser to make real time image transfer based on pose regression with such a huge data. And I'm running out of time.





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