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Ancient secrets of computer vision

pjreddie.com

41–50 of 60 posts

Re: Ancient secrets of computer vision

#41

Whoa sounds interesting! I always wondered what happened to him after giving up on YOLO because he felt it was against his morals. I honestly give him props because he probably could of capitalized on his work if he wanted to and play his cards right.

Sorry, grammar pet peeve of mine: "could have" not "could of" :) cheers!

Re: Ancient secrets of computer vision

#42

A really ancient secret, one of the grey beards I learned a lot from early in my career told me about how he got CV running on an Apple II way back in the day on the cheap. He decapped a DRAM, and carefully stuck a lens on it. They're not just susceptible to cosmic rays; without the package regular old visible light rays can cause bit flips too. If you look at CMOS sensors these days they actually have quite a bit in…

I think I'm missing the point. What does any of this have to do with computer vision?

Re: Ancient secrets of computer vision

#44
post #15

It's nice, but missing the most valuable (and simplest) take from computer vision: the Hough transforms. Let's take the circle Hough transform as it's one of the most enlightening ones! Say you are looking for a circle of a given diameter. After a binarization to make the edge stand out, make all the potential points "vote" for a circle center. The method is simple: using a matrix, you +1 all the points that are as f…

As someone who does computer vision for a living, you're going to need to explain how this is: 1. The most valuable take from computer vision 2. The simplest take from computer vision Not to mention this is rarely useful unless you're in a specific context where you're looking for circles in an image.

As someone who has done a bit of CV too, I'd like to know what are the 2 or 3 algorithms you think are really useful ?

(personally I was impressed by mixture of gaussians background removal))

Re: Ancient secrets of computer vision

#45
post #42

A really ancient secret, one of the grey beards I learned a lot from early in my career told me about how he got CV running on an Apple II way back in the day on the cheap. He decapped a DRAM, and carefully stuck a lens on it. They're not just susceptible to cosmic rays; without the package regular old visible light rays can cause bit flips too. If you look at CMOS sensors these days they actually have quite a bit in…

I think I'm missing the point. What does any of this have to do with computer vision?

He was able to turn a RAM chip into a camera, allowing the computer to process a video "feed" simply by polling the right bits in RAM. On a device that would normally be considered much too primitive to do any image processing.

Re: Ancient secrets of computer vision

#46

Earlier quoted context omitted.

Countersignalling. By deviating from the “professional” look so ostentatiously, they signal that they are so good that they don’t need to use the usual look.

It’s PJ Reddie after all, the YOLO guy.

For those who need a bit more context, YOLO the object recognition ML model. He can work anywhere he wants.

Re: Ancient secrets of computer vision

#48

Earlier quoted context omitted.

It’s PJ Reddie after all, the YOLO guy.

For those who need a bit more context, YOLO the object recognition ML model. He can work anywhere he wants.

If he wanted to work on computer vision instead of a vegan restaurant (or something similar, I forget exactly).

Re: Ancient secrets of computer vision

#49
post #25

What's the best CV course nowadays that comes with videos, assignments, hws, etc.? It used to be the one taught by Justin Johnson at UMich [0]. But the publicly available videos have been last updated in 2019. [0]: https://web.eecs.umich.edu/~justincj/teaching/eecs498/FA2020...

[deleted]

Re: Ancient secrets of computer vision

#50

A really ancient secret, one of the grey beards I learned a lot from early in my career told me about how he got CV running on an Apple II way back in the day on the cheap. He decapped a DRAM, and carefully stuck a lens on it. They're not just susceptible to cosmic rays; without the package regular old visible light rays can cause bit flips too. If you look at CMOS sensors these days they actually have quite a bit in…

There was a Byte Magazine article by Steve Ciarcia, in Sept 1983, entitled “A 64K-bit dynamic RAM chip is the visual sensor in this digital image camera,” describing how to do exactly this hack. https://archive.org/details/byte-magazine-1983-09/mode/2up
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