Author: Rauf Aliev

The dude decided to gain some exposure on dirty at sprosi (like a reddit ama). Check out what came of it) The comments are hilarious)

Cool and relatively recent “Spleen” concert https://www.youtube.com/watch?v=kbicWmpsc7Y

P.S. I wouldn’t recognize him in the subway

Nadina’s note about libraries in the USA.

And what is particularly interesting – unlike the “Soviet times”, all bookstores are somewhat libraries; come – read, no one will say a word to you. That is, normal libraries with older books should have died out, it would seem. But no.

I am delving into the topic of image recognition, meanwhile pondering an article on the subject + experiments on hybrismart. If anyone can add to the list below, you’re welcome:

WhatTheFonts – shazam for Fonts,

Seek – shazam for plants,

Leafsnap – shazam for leaves,

Smartify – shazam for art,

ScreenShop – shazam for fashion,

ISeeNotes – shazam for musical score,

ShoeGazer – shazam for shoes

Merlin, Song Sleuth, ChirpOMatic, Bird Song Id, SongBird – shazam for birds

Blippar, Seez – shazam for cars,

Blippar, Faception – shazam for faces,

Syte- shazam for clothes

Drync, Delectable, Vivino – shazam for wine

LetseeBEER – shazam for beer

Pinterest Lens – shazam for things

Fetch! – shazam for dogs,

Not Hotdog – shazam for hotdogs,

The coolest thing listed so far is Syte.

We watched “Center Stage” yesterday. The movie is about the life of ballet, the dancers, and their journey to success. The film is already 17 years old, but it’s definitely worth watching. Although it has elements of cheap teenage series from the last century. The final dance is simply a masterpiece. It takes up almost a third of the film, but it seems that it was the reason the other two-thirds were filmed.

The film features the young Ilia Kulik – an Olympic champion in figure skating. He plays a student at a ballet academy, one of the main roles. It was a surprise and quite astonishing for me to see him in a movie – three and a half years ago, our Masha was training with him (and Katia Gordeeva) in Los Angeles. This added even more interest to the movie.

https://www.kinopoisk.ru/film/631/

I was driving on a highway with a speed limit of 110 km/h when a bear suddenly appeared on the road, on my lane. It quickly realized something was wrong and scurried back into the forest.

On a smaller road today, I encountered a rabbit that ran alongside the car for a few seconds.

We went to the mountains today.

(Thanks to Oksana Menshutina and Vitalii Menshutin for the wonderful company)

Under my balcony, a guy in handcuffs is sitting on the ground, having a nice chat with two policemen with flashlights. About a hundred meters away, someone is celebrating a birthday by the pool. They must have gone overboard.

I can’t tear myself away from the lectures by 3Blue1Brown. They have an excellent introduction to neural networks (which is what I watched) and a lot of other stuff I haven’t checked out yet, but you can tell it’s made beautifully and skillfully. They animate their lectures very coolly and can explain complex things simply.

https://m.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw

Today after work I played around with OpenCV. I wrote a simple program for identifying chessboard cells. It finds and outlines one of the cells. It knows about the others as well, but for now, it outlines just one.

It doesn’t correct perspective yet, but it manages cells covered by pieces.

In my free time after work, I’m gradually delving into OpenCV. A really cool tool, wonder why I didn’t notice it earlier. It’s a library for working with video and images, and it includes a toolkit which allows you to extract various useful insights from webcams or videos. For instance, detecting moving objects, recognizing text, gestures, faces, etc.