Watching spring arrive from my home office.

During the winter of 2020, I hooked up a camera to a Raspberry Pi and started writing python modules to do time lapse photography. Early on, I made some films of winter storms coming in over the course of 4-12 hour periods.

At the start of spring, I set up for a longer time lapse; I wanted to film the start of spring as seen from the window of my home office. There's a lot of greenery outside so I was hoping to quantify the proportion of the color space occupied by green over time.

Here's what I got:

It can be a little difficult to see the greenery come in, so I made another version which clips to the focal regions:

It can't hurt to look at a little before/after action. These two photos were taken at Noon.

April 7	April 25

Even here we're still only using Human vision to see how much green there is. I used opencv to do a really dumb calculation: the proportion of the RBG color volume that lies in the G channel each day:

NOTE: I do not know very much about computer vision; don't @ me.

The green channel gains dominance over time but it's not crazy evident. Probably what I am seeing as "green" is actually a mixture of lots of colors in the RGB space.

In any case, if time lapse content is your jam, be on the lookout for another film of my tomatoes coming in!