Transform RGB image to *look like* Infrared Context: I'm trying to improve a pose estimation model so that it works better when my camera is in Infrared mode. Unfortunately I only have RGB images to train on. 

I realize that you can't convert RGB to IR directly, but my hypothesis is that converting the RGB images to look more like IR, and then training on a dataset of combined RGB and IR images, will lead to better performance.

Are there any libraries that have tried to implement a function like this? I'm essentially looking for a function that something like this ("IR effect") - http://funny.pho.to/infrared/
Without very much additional info, I'd presume the red channel of your camera has the highest correlation with the infrared spectrum.

Since you only have RGB and no knowledge of how that was calculated from the color sensor pixels: Take the R channel, it's as good as it gets.

The "IR effect" is for artistic purposes only. I'd doubt it has anything to do with what you see in an IR picture.

Notice that I also think you haven't tried to properly understand the physics of your problem: While I'd presume that a visible light photograph is highly correlated with a near-IR photo, that's very likely not the case for mid- and long-wavelength IR and certainly not for far infrared.

So, define your requirements better. And: ML really depends on having data. A lot of it. you might start with wrong data, but as DNN really don't lend themselves to understanding of the weights, it's very questionable that anything that you do with "emulated" data transfers to "real" IR data well.