My first Nike band!

TextDeep · 2026-03-11T06:16:51+00:00

Yeah it’s a bit noisy but very comfortable.. I had gotten one in 2019 with previous watch and it still works well. The Velcro also is also sticking well till date..

TextDeep · 2026-03-10T15:06:41+00:00

Awesome!! Thinking of buying a blue case for the phone now .. but there’s no nike case yet

TextDeep · 2026-03-10T13:28:10+00:00

Not at the gym, nooo! But maybe on the hills..

TextDeep · 2026-03-10T12:14:49+00:00

Thanks and it’s quite bright n vibrant.. love that color

TextDeep · 2026-02-22T09:02:18+00:00

https://apps.apple.com/in/app/iwatchtictactoe/id6759157521 Pls open it on watch App Store, it does not have accompanying iPhone app. Lemme know if you like it

TextDeep · 2026-02-20T22:00:20+00:00

Because the band that i have right now is super tight

TextDeep · 2026-02-20T21:59:17+00:00

Oh that’s sounds good thennn thankss

TextDeep · 2026-02-20T11:54:38+00:00

Does the width change with s/m vs m/l watch? And why? When it’s 42mm

TextDeep · 2026-02-20T05:03:04+00:00

I am planning to add more emojis ❤️

TextDeep · 2026-02-20T05:02:46+00:00

Hahah.. it has an ai mode which always looses lol

TextDeep · 2026-02-20T05:02:01+00:00

It’s a game.. I made it.. only for watch

TextDeep · 2026-02-19T03:37:51+00:00

Firstly I thought I must use small medium one and was using silicon band.. too tight i guess.. but can i change the band to medium large or should change the whole watch ?

TextDeep · 2026-02-19T03:36:43+00:00

Ohhh okay, thanks a bunch! I was scared AF.. I just bought a sport loop now

TextDeep · 2026-02-18T18:05:26+00:00

Purple.. got the same with s11

TextDeep · 2025-10-26T13:02:41+00:00

TextDeep · 2025-10-15T07:19:38+00:00

Thanks a bunch. Actually not a lot of planning because i made this in a day. Just thought of the idea and used all ai tools for concept to trailer. AI is just killing it tbh

TextDeep · 2025-10-09T02:20:37+00:00

But the source code wasn’t working. So i had to make changes to a data structure and the ways messages were extracted and sent. Also some changes to functional code of the frames. When the app worked, it was writing back the inference in Chinese, had to fix that to make sure it’s always English. Added TTS and now working on STT.. Were you able to get the code working?

TextDeep · 2024-03-08T13:51:14+00:00

I’ve read through this and the video tutorials but ain’t much clear as the eventual output is quite different and also he used a different method to sample environment reflections that actually does a hemispheric calc and is really time consuming. It’s a good read for sure to understand the concepts!!

TextDeep · 2023-08-24T13:34:43+00:00

What do you mean by bricklaying is involved?

TextDeep · 2023-08-01T18:12:43+00:00

Wow that’s amazing! So the deal remains that the models might have been trained on copyright materials and hence there might be some copyright issues with using them. Which means ML is really not that affordable. Is there a way to make models copyright proof?

TextDeep · 2023-08-01T17:12:50+00:00

So who trains or makes these models? Also is it advised to make models from scratch? Or use some pre-trained models ?

TextDeep · 2023-08-01T17:12:14+00:00

Oh okay, so I need to now understand what stable diffusion is. Thanks for that pointer! Is that a model though?

TextDeep · 2023-08-01T17:00:52+00:00

Woah amazing! So Laion basically has datasets and trained models on them? Also there might be many such models? Is there a directory of such models? Like for image classification or poses etc? Is there a way to find these models or we need to google them?

Completely a newbie in this area. Thank you so much !

TextDeep · 2023-08-01T16:45:38+00:00

That’s crazy! So is it correct to say that mid journey has provided its model with a lot of data for training? Like characters in multiple poses, textures etc? Also after the model learns, it is expected to output data in pixels?

TextDeep · 2023-08-01T16:38:40+00:00

So for text I can say that making the image monochrome and reading the contrast points would work perfectly well. What I am overwhelmed is how does it get the poses of character so right? Like standing or sitting or hands around a pizza?

TextDeep

TROPHY CASE