Someone told me the challenger astronauts are still alive and using their real names.

Love this conspiracy...sure people can look similar, people can have the same name, having the same look and same name hmm...also two crew members with twin brothers...

its very true

Yeah, it's true. Someone told me that too.

wtf is that yt lol

bullshit 2.0

:cmjsgif:

This mission consisted mostly of identical twins amd xlones.

Why'd they kill clones and twins? Quantum entanglement exp.?

Use your brian. If they were alive they would definitely be using aliases.

okay bud, you done jerking yourself off and licking your hands clean?

I swear.. your narcissistic behavior is the reason people hate you and despise your avatar and name..

instead of using that knowledge and information to help others you belittle people and shame them as they're not on your iq level.

I bet your a fagatron 4000 that hasnt gotten laid in 7 years. (other than mr. righty and sometime lefter)

honestly.. I hope a asseroid comes gurling down smashing your meat Sak of a body into a mush while you look into your little telescope.

POS

Wuw a tv commercial would be funny with someone losing her wig.

We are here not long enough to realize,
faces are repeating. These are traits in our genomes,
only copied and mixed with others,
but the main characteristics of the face, posture, walk, being the same, for very long time.

So i do not buy this in any way.
Even after seing the video with another object besides challenger.. (+conspiracies around it)

i wonder what it's like in the breakaway civilization

they probably have starcraft 3 and some kind of awesome quake CTF game

Related threads at bottom of this page.

:ohlook:

Unless you are using the latest methodologies of facial recog, then it can still be flawed.

Are you using ConvNet? If not, then you must be using generalized matching face detection method or adaptive regional blend method. Both are flawed and will not give you a 100% match. They can give you a match within a range that is better than 70% or scaled .70, but it can still be argued depending on the target data how accurate the match is.

How many features are you tracking for the face? Front or side profile? How large is your source training data? What is considered a match in terms of how many features being tracked? Are you running multiple inputs and comparing results of all output? Are you running multiple inputs and combining results? How are you tracking outliers? Are you using landmarks to identify facial features? How are you identifying a face after processing? Does each landmark have a variance in accuracy? If so, what is the variance?

I could go on and on and on and on. There are many variables to facial recog. You are offering nothing but your word on this and presenting a blackbox saying that it is conclusive. Unless you are willing to have someone provide a code review of your model and verify your claims by running a sample set of data then you cannot claim what you are stating as conclusive. You can, however, claim a high probability.

I'm not attacking you. But I am pointing out that we as the ACs cannot take what anyone says at face value.

What does your facial recognition software say about Biden's earlobe shape, which keeps changing? Sometimes he has detached earlobes and sometimes not.

The black one

They were larping Startrek in the 80s

Asian guy women African A rabbi midget Old White Guy Captain

What you see on TV is NOT REAL.WTFU!

From the Kennedy Assassination to 911...

He's dead Jim.

Just about everything matches but the ears.

Are you done trying to get yourself banned, or do you want to keep going? Go fuck yourself, you have no idea who you're talking to.

Yes, it's a python implementation of a convolutional neural network. It achieves better than 99% accuracy on the LFW face recognition benchmark. I can pretty much guarantee you the shitty recognizers used by GLP'ers to claim things like "Joe Biden isn't the real Joe Biden" are unable to get anywhere close to that level of accuracy on that benchmark.

Not really "my" model, I'm just using it within Python to run these images and compare them. The model I'm using is dlib_face_recognition_resnet_model_v1. 99.38% accuracy on LFW. It's state of the art. Complain about it all you want, my video will demonstrate how well it works even with images taken decades apart.

Glad you admit it. Your opinion is worthless then.

Yeah we all know how NASA loves to make videos.

Wrong.

Astro is a fraud.