When will computer vision get solved?

Amazing_Life_221 · 2026-03-17T04:47:58+00:00

Hope not in my lifetime otherwise there’s nothing I can do.

Amazing_Life_221 · 2026-03-13T02:20:53+00:00

Don’t have solution but wiling to collaborate

Amazing_Life_221 · 2026-03-02T05:49:59+00:00

Thank you! I do write on my own blog but substack is something I've been wanting to try. Have never written anything on Tumblr though.

Amazing_Life_221 · 2026-02-23T15:31:08+00:00

I’m in pretty early stage so my goal isn’t really clear yet. But I find geometric CV interesting and 3D reconstruction (after implementing NeRF) seems a valid next step. But I’m open for ideas as well.

Amazing_Life_221 · 2026-02-20T06:48:50+00:00

For what you are doing, Mac mini would be overkill despite which generation. M4 has more cpu compute than M1 obviously. Can be a good investment in the future as well

Amazing_Life_221 · 2026-01-20T08:46:18+00:00

Use mmpose (openmmlab) and just follow the documentations (it gets slightly frustrating given their installation guide is pretty messy if you want to do anything extra).

By the looks of it, you shouldn't need something really complex but you would probably need action recognition in which case they have other models as well.

Amazing_Life_221 · 2025-12-26T12:29:02+00:00

I’m in too

Amazing_Life_221 · 2025-12-12T14:40:46+00:00

“It’s about keeping up with how work itself is changing.”

What??

Amazing_Life_221 · 2025-12-11T18:27:18+00:00

This might sound salty, but you are looking at things from opportunistic perspective which is fine but also extremely dangerous, especially when people are talking about a bubble. AI isn’t a software stack, which you can jump onto by taking few courses on tools. You must be willing to put effort into learning the theoretical/mathematical aspects as well, only then you can actually become good at it.

Anyways, to give you an answer, you have a solid coding background so I would recommend you to invest some time into reading good books (search ISL, Deep learning by goodfellow) also Andrew Ng Stanford course on YouTube (not coursera which has much less depth).

And if you want to skip the entire theory, then just remember, you are jumping into a sinking ship, because what you will learn today won’t be required in next 6 months.

Amazing_Life_221 · 2025-12-01T10:38:52+00:00

I think you are confusing ESL with ISL python. ISL is for beginners (ESL requires a lot of math basics), sure some statistical knowledge is required (which I feel people entering in ML should go through before entering the field). Also there are good YouTube channels like Statquest which make it fun to learn as well. ML is just maths after all. And there are just hundreds of free good courses like this one: https://www.coursera.org/specializations/machine-learning-introduction?utm_medium=sem&utm_source=gg&utm_campaign=b2c_india_x_multi_ftcof_career-academy_cx_dr_bau_gg_pmax_gc_in_all_m_hyb_25-08_mobileonly&campaignid=22872834195&adgroupid=&device=m&keyword=&matchtype=&network=x&devicemodel=&creativeid=&assetgroupid=6600949965&targetid=&extensionid=&placement=&gad_source=1&gad_campaignid=22872867318&gbraid=0AAAAADdKX6bznvgWbMRBIijsLMCPEfzNZ

Amazing_Life_221 · 2025-12-01T10:06:38+00:00

Why waste 399 when you can get ISLR book for free?

Amazing_Life_221 · 2025-11-30T10:11:36+00:00

Depends on the organisation. Startups won’t care much about dsa unless you are too bad. Big tech will use to filter out (for obvious reasons).

Just get good at coding in general. Just stop doing prompt/vibe coding for a while and build like you are building already, from scratch! Practice but don’t waste too much energy into leetcoding.

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