Is anybody really interested of facebook or they technology anymore ??
Facebook open-sources Detectron
161–170 of 188 posts
Re: Facebook open-sources Detectron
#162my overall feeling as someone that wants to start getting into visual recognition is that there are a bunch of great libraries/ecosystems to choose from and all of them have pros and cons, but i honestly don't want to make the wrong decision and end up being stuck later on. Anyone here has any advise on what i should use to have a camera(rpi) recognize most common objects and then add a layer where we can teach speci…
unless I'm mistaken, this is the very first lesson of the fast.ai course.
Re: Facebook open-sources Detectron
#163So 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?
For the car captchas, I've found actually clicking all the boxes with part of a car will always be a wrong answer (distinct from when it just makes you answer twice). Instead, you have to click on the squares that you know it thinks are cars. This creates a twisted Turing test situation where, to prove you are a human, you have to pretend to be a machine's idea of what a human is.
> This creates a twisted Turing test situation where, to prove you are a human, you have to pretend to be a machine's idea of what a human is.
Exactly. I think Recaptcha was better when it was looking for consistency with other human answers. Using "AI" has the same problem you mentioned, plus its more vulnerable because it has the assumption that your "AI" is unapproachably far ahead of competitors.
Re: Facebook open-sources Detectron
#164my overall feeling as someone that wants to start getting into visual recognition is that there are a bunch of great libraries/ecosystems to choose from and all of them have pros and cons, but i honestly don't want to make the wrong decision and end up being stuck later on. Anyone here has any advise on what i should use to have a camera(rpi) recognize most common objects and then add a layer where we can teach speci…
You should be set with openCV or JavaCV. JavaCV has more ported image/video progressing libraries than openCV and are a bit more customizable in my experience. And literally JavaCV has openCV natively but a different wrapper. I would only suggest openCV if you are working with python. It provides enough tools for basic then mid complex objects and if you want to mature in it then open up the hood. As for porting that pet porject to a mobile android device i would suggest to go straight with javaCV even though openCV has wrappers for android and java. The reason is because at some point you'll want to ditch their riggid methods of obtaining video/pictures. JavaCV has served me well when integrating with android. Also, if you eventually want to scale up the processing into a web service then it' easier.
Re: Facebook open-sources Detectron
#165Does 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.
Use your last android phone.
Re: Facebook open-sources Detectron
#166Earlier quoted context omitted.
For the car captchas, I've found actually clicking all the boxes with part of a car will always be a wrong answer (distinct from when it just makes you answer twice). Instead, you have to click on the squares that you know it thinks are cars. This creates a twisted Turing test situation where, to prove you are a human, you have to pretend to be a machine's idea of what a human is.
I have more problems with bridges than with cars. The damn thing forces you to select 3 bridges, except that there are only 2... So you are forced to select what it thinks is a bridge, and confirm his erroneous bias even more.
Storefronts are difficult too, I don't think I'm ever good enough at those to satisfy it. The most reasonable one seems to be street signs, but I think it fails me for not flagging the unpainted back of one.
Re: Facebook open-sources Detectron
#167my overall feeling as someone that wants to start getting into visual recognition is that there are a bunch of great libraries/ecosystems to choose from and all of them have pros and cons, but i honestly don't want to make the wrong decision and end up being stuck later on. Anyone here has any advise on what i should use to have a camera(rpi) recognize most common objects and then add a layer where we can teach speci…
Not sure if you're looking for CV or DL libraries. If you're looking for DL libraries, you can't go wrong with Tensorflow or PyTorch for research/development, and Tensorflow or Caffe2 for deployment. Tensorflow's a bit difficult to learn, but has a lot of great tooling around it, and PyTorch is the opposite. The other frameworks are fine, but don't have the same amount of documentation & beginner resources.
Re: Facebook open-sources Detectron
#168Earlier quoted context omitted.
For the car captchas, I've found actually clicking all the boxes with part of a car will always be a wrong answer (distinct from when it just makes you answer twice). Instead, you have to click on the squares that you know it thinks are cars. This creates a twisted Turing test situation where, to prove you are a human, you have to pretend to be a machine's idea of what a human is.
Does it tell you that you're wrong, or simply give you another set. If it is just giving you another set, it may be that it thinks that you can provide more useful data.
If you fail, it tells you you were wrong (some red text at the bottom) and gives you another challenge. I think it will sometimes just give you another challenge for more data, but it won't have red failure text.
Re: Facebook open-sources Detectron
#169Earlier quoted context omitted.
caffe2 (which this is built on) was switched from bsd+patents to Apache2 a while ago too.
I think if either a project that FB uses upstream has Apache 2 or if you are a large organization (for example the Apache Software Foundation) you can use your clout to force Facebook to use Apache.
Caffe2 is a Facebook project, so they’re not exactly being “forced” to release it or any downstream projects under Apache 2.
Re: Facebook open-sources Detectron
#170I was just looking into trying out YOLO. Does anyone know how both compare?