KGIII

Your email is in the URL.

Ah, you said blame them. I'd assumerd that meant you felt they were the cause of both. I was pretty confused. Thanks for clearing that up.

I am a fan of responsible firearm ownership, but not the NRA - by the way. I don't know if I'd blame them, but I'd agree that they contribute to the 'gun culture' that ends up with irresponsible people wanting to own firearms.

And this led to the police militarization?

Can you elaborate on why you want to blame the NRA?

I should disclose that I own a number of firearms, many of them sidearms, and don't like the NRA very much, nor have I ever donated to them or been a member. I'm just curious as to how you see them as being the source to blame.

I am unsure what you want. But I can clear up your question.

On an electric guitar, and some acoustics, you will see a bar that they.call the whammy bar. This is often a tremolo bar by name. The truth of it is it is a vibratto bar

Vibrato modifies music by changing the pitch.It bends wires.

For reasons unknown, tremolo adjust by moving the volume. The real tremolo is inside your amp or in a pedal.

Where the confusion came from is still unknown. But, your tremolo is probably in an amp or pedal. Vibrato is by the bar they sometimes call a whammy bar.

I ordered a sandwich in Cann River and got a plate of sandwich ingredients as an unassembled sandwich. This happened again in Melbourne. I'm skeptical of your whole country's sandwich making skills.

Up here, we still consider Brunswick to be Northern Massachusetts.

Why does that matter? Nowhere in what my neighbors consider Maine actually wants Amazon. But, BNAS might be a brilliant location for it.

If my experience in highway infrastructure is any guide, this is mostly futile. If they really want to slow it down, start with an environmental impact study. The best thing about it is the government has to pay for it and they are very subjective.

You can make a project take twice as long.

Well, they still have people living. They could address that next.

I'd not be so sure. It can almost always get worse.

Neat, thanks! I could see a few valuable use cases, from customs to personal.

My thinking was that one might be able to do it with their cell phone, with close up images. Then it could maybe tell things like stitching, material, precise color match, and maybe then be able to say if it is counterfeit.

I'm just not sure ML is yet that good. My thoughts were more about multiple pictures or a small video. I'd suspect that it could train itself further as the DB expands.

I'm just not sure how good it actually can be. It probably only has to be better than a layperson, though I could see more precise stuff used to scan by customs. Any percentage higher than the normal buyer of such would be better, assuming few false positives.

I wonder if it will ever get good enough to detect counterfeit bags? My understanding is that they are a prolific problem.