Live data from Hacker News

Fast and accurate object detection in high resolution 4K and 8K video using GPUs

arxiv.org

1–10 of 19 posts

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#2
I have six gopro in an spherical arrangement and each one produces 960p video at 120fps, this renders a spherical 4k video.

From what I read they can process Yolo 6fps on multiple GPUs. Is a 20x speedup with more gpu possible based on their architecture?

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#3
Somewhat OT, but standing in line at the grocery store checkout last night I couldn't help but wonder why so many billions are being spent on complex visual problems like self-driving cars, then at the same time the checkout clerk has to look in a laminated binder and then manually punch in a code number to get a price for bananas. (Happens at both big chains around here — Safeway and Kroger alliances.)

Surely with all this image AI and ML coming out of SV, there must be a way to augment cash registers to detect the difference between a dragonfruit and a kumquat.

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#4

I have six gopro in an spherical arrangement and each one produces 960p video at 120fps, this renders a spherical 4k video. From what I read they can process Yolo 6fps on multiple GPUs. Is a 20x speedup with more gpu possible based on their architecture?

Well for training attention-cnn model I think it.would speed it up, but as they note in the paper, running the pipeline they experienced worker saturation on their dataset (see figure 12). Looks like saturation occurs after 7 parallel workers with their hardware.

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#5

Somewhat OT, but standing in line at the grocery store checkout last night I couldn't help but wonder why so many billions are being spent on complex visual problems like self-driving cars, then at the same time the checkout clerk has to look in a laminated binder and then manually punch in a code number to get a price for bananas. (Happens at both big chains around here — Safeway and Kroger alliances.) Surely with a…

Amazon Go store - https://www.analyticsvidhya.com/blog/2018/01/amazon-go-ai-po...

Perhaps we’ll see more of the tech you mention in Whole Foods and other brick and mortar businesses that Amazon is getting into.

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#6

Somewhat OT, but standing in line at the grocery store checkout last night I couldn't help but wonder why so many billions are being spent on complex visual problems like self-driving cars, then at the same time the checkout clerk has to look in a laminated binder and then manually punch in a code number to get a price for bananas. (Happens at both big chains around here — Safeway and Kroger alliances.) Surely with a…

Human labor is still cheaper and more consistent than current AI and ML systems.

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#7

Somewhat OT, but standing in line at the grocery store checkout last night I couldn't help but wonder why so many billions are being spent on complex visual problems like self-driving cars, then at the same time the checkout clerk has to look in a laminated binder and then manually punch in a code number to get a price for bananas. (Happens at both big chains around here — Safeway and Kroger alliances.) Surely with a…

Looking at the laminated binder is not a nominal case, thankfully. Think of it as a cache miss.

Most checkout clerks have memorized the codes and don't refer to the binder anymore. Perhaps you saw a new employee.

Also, many fruits/veggies have stickers on them with the code (either numeric or bar-code) so you don't have to do a lookup into "the binder". That's how you can easily go through the "self checkout" lanes (although there is a fallback in the form of a "virtual binder" in the UI if you can't find the code and want to select your produce from a set of buttons/images on the screen, with optional string searches).

It's often key to have a differentiator in the form of a code because different items can be visually equivalent (think about bananas vs organic bananas).

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#8
post #7

Somewhat OT, but standing in line at the grocery store checkout last night I couldn't help but wonder why so many billions are being spent on complex visual problems like self-driving cars, then at the same time the checkout clerk has to look in a laminated binder and then manually punch in a code number to get a price for bananas. (Happens at both big chains around here — Safeway and Kroger alliances.) Surely with a…

Looking at the laminated binder is not a nominal case, thankfully. Think of it as a cache miss. Most checkout clerks have memorized the codes and don't refer to the binder anymore. Perhaps you saw a new employee. Also, many fruits/veggies have stickers on them with the code (either numeric or bar-code) so you don't have to do a lookup into "the binder". That's how you can easily go through the "self checkout" lanes (…

many fruits/veggies have stickers on them with the code

IME, too often the sticker isn't useful because it's fallen off, or is obscured by the green eco-friendly produce bags.

That's how you can easily go through the "self checkout" lanes

I don't use self-checkout, on principle. I'd rather wait in line three minutes than cost a minimum-wage checkout person their job.

It's often key to have a differentiator in the form of a code because different items can be visually equivalent (think about bananas vs organic bananas).

This is an excellent point I didn't think of. I don't know that AI will be able to distinguish regular from organic produce in my lifetime.

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#9
post #7

Earlier quoted context omitted.

Looking at the laminated binder is not a nominal case, thankfully. Think of it as a cache miss. Most checkout clerks have memorized the codes and don't refer to the binder anymore. Perhaps you saw a new employee. Also, many fruits/veggies have stickers on them with the code (either numeric or bar-code) so you don't have to do a lookup into "the binder". That's how you can easily go through the "self checkout" lanes (…

many fruits/veggies have stickers on them with the code IME, too often the sticker isn't useful because it's fallen off, or is obscured by the green eco-friendly produce bags. That's how you can easily go through the "self checkout" lanes I don't use self-checkout, on principle. I'd rather wait in line three minutes than cost a minimum-wage checkout person their job. It's often key to have a differentiator in the for…

[deleted]

Re: Fast and accurate object detection in high resolution 4K and 8K video using GPUs

#10

Somewhat OT, but standing in line at the grocery store checkout last night I couldn't help but wonder why so many billions are being spent on complex visual problems like self-driving cars, then at the same time the checkout clerk has to look in a laminated binder and then manually punch in a code number to get a price for bananas. (Happens at both big chains around here — Safeway and Kroger alliances.) Surely with a…

For sure it will recognise fruits and vegetables better then any teenager around here that has a job as cashier. Amount of times I had to facepalm because cashier didn't recognise a beet or other common vegetable or fruit is significant.

But I refuse to self scan until you have to pay to use a cashier or self scan gets you a discount.

Post reply on HN