Image Dithering FAST In Python (ft. Numba)

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[@revolution77N]

Guys like you should be national heroes and get more recognition. What world we are living in!! Thanks man, I super appreciate what you do and I learnt a lot. Will definitely buy a T-shirt :)

[@diegoattisani835]

Great video! Have no idea about what you're typing on python but it looks amazing

[@ShmingsThings]

Dividing by 8 is actually just 3 bit shifts, and I bet that totally had a hand in choosing that particular error distribution ratio.

[@MrPSolver]

Now that's very interesting... I bet that's totally it, given how efficient an operation that might have been.

[@Vexump]

dawg its 2:58 am and that giraffe was staring down into my soul

[@bernardotorresarvizu4810]

agree

[@drewnotdrey5156]

Learned a lot from this video! Thank u!

[@mingshey]

I like your Jedi-mind-control hand wave.

[@ShubhamMishra1989]

Bro you inspire me to learn more Python, everyday! thank You! Very nice videos! Subscribed and I watch your every video!

[@MrPSolver]

Glad it's helpful :)

[@elevenlevel1]

Hi. I'm just delving into this topic. I need to convert 16-bit normal map into a Dithered 8-bit normal map. Do I understand correctly that although the output, technically, will be 8 bits per channel, in fact there will be very few colors (256 or something like that)?

[@AAI_Einstein]

Love this channel

[@baldpolnareff7224]

You're normalizing by 255 assuming it's an 8-bit image, so in general the max pixel value should be (2^n - 1) for an n-bit image, correct?

[@MrPSolver]

Exactly!

[@baldpolnareff7224]

@@MrPSolver thank you!

[@cgyh68748]

cool

[@enzo-ys1gv]

Fourth!

[@Krazyparisboy]

Fifth

[@starshipx1282]

First

[@hotmole7621]

bruh

[@visum8220]

Second!

[@DivPrat]

Third!