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Facebook open-sources Detectron

research.fb.com

61–70 of 188 posts

Re: Facebook open-sources Detectron

#61

Does anyone know an alternative that works on RaspberryPi? This states: "Detectron operators currently do not have CPU implementation; a GPU system is required." Even low FPS (3-5) would be acceptable.

With such deep networks, I think it would be hard to get 3-5 FPS on an Intel iX; forget the Raspberry PI CPU!

Re: Facebook open-sources Detectron

#62
post #53

Earlier quoted context omitted.

Google doesn't even show a catpcha if they have enough tracking info for toy to verify you're a human, which is pretty simple for them if you don't clear all your cookies for a few days. I'm pretty sure Google thinks if they have to show you a catpcha they've failed, but along with that they don't feel the need to make the catpchas particularly easy if they do have to show it.

Except when it doesn't. Every so often it suddenly spams one with sheer number of captcha on sites that use the Google's Recaptcha API. Then you have to solve detect the houses, cars, store-fronts, deceiver plates and street signs several times successfully to move on or be prepared to solve several more captches to be allowed to move on. I would wish Google fix Recaptcha. It used to be so good.

I hate it when I fail the Turing test, and can't log in to stuff.

Re: Facebook open-sources Detectron

#63
post #62

Earlier quoted context omitted.

Except when it doesn't. Every so often it suddenly spams one with sheer number of captcha on sites that use the Google's Recaptcha API. Then you have to solve detect the houses, cars, store-fronts, deceiver plates and street signs several times successfully to move on or be prepared to solve several more captches to be allowed to move on. I would wish Google fix Recaptcha. It used to be so good.

I hate it when I fail the Turing test, and can't log in to stuff.

It doesn't seem to matter which images I click, it lets me in after a while anyway.

Re: Facebook open-sources Detectron

#64

Does anyone know an alternative that works on RaspberryPi? This states: "Detectron operators currently do not have CPU implementation; a GPU system is required." Even low FPS (3-5) would be acceptable.

Maybe https://pjreddie.com/darknet/install or one of the various forks. YOLO is supposed to be one of the best object detection systems as far as accuracy/speed is concerned.

Re: Facebook open-sources Detectron

#65
post #56

Does anyone know an alternative that works on RaspberryPi? This states: "Detectron operators currently do not have CPU implementation; a GPU system is required." Even low FPS (3-5) would be acceptable.

It's a bit disappointing, when caffe2 was released it was stated that mobile is a big focus, but things like this don't support mobile (even though some of this was demoed by FB on a phone).

FWIW we have some similar R-CNN models using this codebase running in the FB apps on iOS/Android with Caffe2 - with some neat bells and whistles (eg full execution of the compute graph on the device GPU where available via Metal/OpenGL). I’ll look into adding a mobile tutorial for Detectron if you’re interested.

Re: Facebook open-sources Detectron

#66
post #62

Earlier quoted context omitted.

Except when it doesn't. Every so often it suddenly spams one with sheer number of captcha on sites that use the Google's Recaptcha API. Then you have to solve detect the houses, cars, store-fronts, deceiver plates and street signs several times successfully to move on or be prepared to solve several more captches to be allowed to move on. I would wish Google fix Recaptcha. It used to be so good.

I hate it when I fail the Turing test, and can't log in to stuff.

Obviously I am 99.99% sure I am clicking correctly, yet Recaptcha displays me another and another captcha, until it lets me move on. Is it a system bug or maybe their bot detection got quite unreliable?

Re: Facebook open-sources Detectron

#67
post #44
post #42

Earlier quoted context omitted.

There is no arms race. 99.9% of the time Google knows if you're a robot based on your browser state. They make you label the images because it's a free way to get training data.

How does that work? Could we create an open source lib to replace Recaptcha?

Google has basically your entire browsing history, and search history. Google then compares that with what is considered normal for a human, and then lets you in if you pass that check.

Of course, if you run IRC bots that scrape Google with a headless browser to implement a .search functionality, and which offer link titling in IRC, and you use a separate bucket of cookies and IP for every IRC bot, your bots now also have a human search and browsing history, and also will pass all ReCaptchas...

Re: Facebook open-sources Detectron

#68

Does anyone know an alternative that works on RaspberryPi? This states: "Detectron operators currently do not have CPU implementation; a GPU system is required." Even low FPS (3-5) would be acceptable.

Maybe https://pjreddie.com/darknet/install or one of the various forks. YOLO is supposed to be one of the best object detection systems as far as accuracy/speed is concerned.

Look at the first table in https://arxiv.org/pdf/1708.02002.pdf (the RetinaNet paper, code + models included in this release). There’s a substantial accuracy cost for YOLO vs other, similarly fast (within a factor of 2 or so), methods.

Re: Facebook open-sources Detectron

#69
post #53
post #7

So is this the end of Google captchas asking for where the car/sign/whatever is? Will there be a final battle of AIs, where they will kill each other, and the unfettered access to websites over VPN/tor wins and laughs the last laugh?

Google doesn't even show a catpcha if they have enough tracking info for toy to verify you're a human, which is pretty simple for them if you don't clear all your cookies for a few days. I'm pretty sure Google thinks if they have to show you a catpcha they've failed, but along with that they don't feel the need to make the catpchas particularly easy if they do have to show it.

I must be really unlucky in that I regularly get pretty challenging captchas which require a lot of tries before it lets me through. It's frustrating enough to make me avoid future visits to sites which use their captchas.

Re: Facebook open-sources Detectron

#70
post #21
post #17

Earlier quoted context omitted.

Not that much worse than what you see on imagenet. Most large companies have internal datasets with >100 million images. https://arxiv.org/abs/1610.02357

That’s impressive work. Still don’t think we have reached human level for all the categories of things we see in images. But you are correct that my comment about 1k categories is not true for many production systems.

You don't need human level to make CAPTCHAs useless. If you can break the CAPTCHA 10% of the time that's already enough.
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