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https://github.com/rlleshi/phar
This is just a fun, side-project to see how State-of-the-art (SOTA) Human Action Recognition (HAR) models fare in the pornographic domain. HAR is a relatively new, active field of research in the deep learning domain, its goal being the identification of human actions from various input streams (e.g. video or sensor).
The pornography domain is interesting from a technical perspective because of its inherent difficulties. Light variations, occlusions, and a tremendous variations of different camera angles and filming techniques (POV, dedicated camera person) make position (action) recognition hard. We can have two identical positions (actions) and yet be captured in such a different camera perspective to entirely confuse the model in its predictions.
This repository uses three different input streams in order to get the best possible results: rgb frames, human skeleton, and audio. Correspondingly three different models are trained on these input streams and their results are merged through late fusion.
The best current accuracy reached by this multi-model model currently is 75.64%, which is promising considering the small training set. This result will be improved in the future.
The models work on spatio-temporal data, meaning that they processes video clips rather than single images (miles-deep is using single images for example). This is an inherently superior way of performing action recognition.
Currently, 17 actions are supported. You can find the complete list here. More data would be needed to further improve the models (help is welcomed). Read on for more information!
Motivation & Usages
The idea behind this project is to try and apply the latest deep learning techniques (i.e. human action recognition) in the pornographic domain.
Once we have detailed information about the kind of actions/positions that are happening in a video a number of uses-cases can apply:
Improving the recommender system
Automatic tag generator
Automatic timestamp generator (when does an action start and finish)
Cutting content out (for example non-sexual content)
- garlicdoors : @IHateReddit discovers pat abuse thread
- snus : :marseytrans2pat################:
- TwoLargeSnakesMating : If you actually want to read, Custom CSS: img[src="/i/hand.webp"] { display: none; }
- USER_HAS_BEEN_BANNED : dark day for mobilecels
- duck : mooom my rdrama got hacked
- 1 : Appreciate it, snakes.
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This discussion between a Google engineer and their conversational AI model helped cause the engineer to believe the AI is becoming sentient, kick up an internal shitstorm and get suspended from his job. And it is absolutely insane. https://t.co/hGdwXMzQpX pic.twitter.com/6WXo0Tpvwp
— Tom Gara (@tomgara) June 11, 2022
Big fat nerd talks with chatbot. Gets fired.
Non-paywall link: https://archive.ph/Bqpc5
Before he was cut off from access to his Google account Monday, Lemoine sent a message to a 200-person Google mailing list on machine learning with the subject “LaMDA is sentient.”
He ended the message: “LaMDA is a sweet kid who just wants to help the world be a better place for all of us. Please take care of it well in my absence.”
No one responded.
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A programmer named Alec just RE'd the RE of AOL 3.0 in HolyC and brought AOL to TempleOS, an operating system written single-handedly by Terry Davis; a now deceased schizophrenic programmer famous for his eccentric behavior and rants. It's unusual to run into a skillful HolyC programmer, but Alec is definitely one of them.
Here's his source code: https://git.checksum.fail/alec/TOL.
I chatted with Alec and asked him a few questions. Alec works in IT. He's been programming in HolyC for TempleOS since 2016. One of his goals is to make TempleOS his daily driver, he's been working on a web browser in HolyC, and when he heard about Re-AOL he "knew what had to be done." His favorite Terry Davis quote is "Don't prepare your words." When asked what he hopes to gain out of the Re-AOL project, he replied "The enjoyment of reverse-engineering a protocol I have no prior technical experience with."
Here's a video demonstration. Watch it in at least 720P:
Major props to Alec for accomplishing this. Join us in our Groomercord and give him a shoutout. You can also join us to Sign On AOL 3.0 here in 2022 in the regular old school Windows client. We recently reverse engineered AOL 3.0 for nostalgia nerds to enjoy. I hope you have fun with what we've all accomplished; very much including what Alec has accomplished here.
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- Yui : https://www.mozilla.org/en-US/firefox/new/
- youaredisordered : https://libertarian.help/
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For me, it's the BRAVE BROWSER. The best internet browser. I even download the BRAVE BROWSER on my phone, tablet, laptop, and desktop because the BRAVE BROWSER DEVELOPMENT TEAM is so friendly and more than willing to oblige.
One time I asked for 3 ads to be blocked and they blocked three. I said, "Wow, three for free!" and the nice friendly BRAVE worker laughed and said, "I'm going to call you 3-for-free!".
Now the BRAVE BROWSER greets me with "hey it's 3-for-free!" and ALWAYS blocks every ad, cookie, and tracker. It's such a fun and cool atmosphere with my BRAVE BROWSER, I use it at least 7 times a week for my daily browsing needs which include work, pornography, school, and stalking my whore ex wife on facebook.
I even use my BRAVE BROWSER to browse rdrama, it's amazing! What a great BRAVE BROWSER
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Might be useful for some of you fellow dramanauts and slackers who want to block specific websites from showing up on Google.
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>born one generation before gene edited babies
>if I was born in 2100 I'd be 8 feet tall and have a 15 inch peepee
>mfw only 6 foot with 7.5 inch peepee
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It literally took me less than five minutes to set this up. The hype is real.
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the flaws were only found after a federal judge allowed a computer scientist access to voting equipment and passwords
“These issues require unfettered physical access to election equipment, which is already prohibited,” a Dominion spokeswoman said.
Good thing they made it illegal!