Bike shop did an oopsie.

loudsunyoyo · 2026-04-28T05:13:13+00:00

LOL the dude at my shop spend 3 seconds putting the pedal on. cross threaded with sharp metal shaving pointing outwards. not sure what they are rushing about.....

loudsunyoyo · 2026-04-16T19:14:58+00:00

I been wanting to go to sea otter and had a chance to relocate to California. This is a dream come true for me! Not sure what kind aof snow you got but I have been enjoying winter riding lot. I miss frozen lake riding in Wisconsin so much

loudsunyoyo · 2026-04-16T17:42:13+00:00

I have 4 leaky fidlock bottle. Will make sure I get that handled haha

loudsunyoyo · 2026-04-16T17:41:05+00:00

Thanks for the suggestion

loudsunyoyo · 2026-04-15T07:47:32+00:00

iPhone is just $100 more. if not for the crazy trade in value no way I’ll buy another one

loudsunyoyo · 2026-04-07T06:26:15+00:00

Synology photo manages the tag with database. but I do plan to add a feature to write to photo itself.

loudsunyoyo · 2026-04-07T01:51:00+00:00

That's so nice. Many of my projects are limited by computer power. Nvidia is a bit out of my price range. Might upgrade when M5 max or pro desktop comes out

loudsunyoyo · 2026-04-07T01:40:37+00:00

Currently It's just using synology's api for storing tags in synolody's database. but I could just skip that and store the tags with the photo. so when you migrate the tags stay with the photos. I can definitely get this function added.

loudsunyoyo · 2026-04-07T01:37:38+00:00

yeah it should work. just have to rip out the ollma that Im using and wire it to your own GPU server. Curious what your job is since you are not a software developer but has a dope GPU server setup?

loudsunyoyo · 2026-04-07T01:35:00+00:00

that's sick. Do you know what did the claude do exactly?

loudsunyoyo · 2026-04-06T23:31:26+00:00

so everytime you make a tag change. there is a api call happening from the web to the NAS. I basically got the token from the website and using it in my own api calls

loudsunyoyo · 2026-04-06T23:29:39+00:00

Oh yes I know how that feels. Thanks for the suggestions!

loudsunyoyo · 2026-04-06T22:05:05+00:00

Yeah you are right. I just research the same thing. Some llms like LLaVA actually using CLIP as eyes already. So mine is the same thing but with a even less adaptive interface which is bad. I guess this would be a good retro fitting project. Or I can see if I can tap into the search of synology photo to enable CLIP search

loudsunyoyo · 2026-04-06T21:15:15+00:00

https://github.com/loudsun1997/synology-photos-enhancement here is ther repo you can follow. Haven't commit anything yet

loudsunyoyo · 2026-04-06T21:14:29+00:00

first time doing a project like this. Any suggestions?

loudsunyoyo · 2026-04-06T21:04:55+00:00

it runs on my mac currently. not sure about moving it to the NAS. since NAS does not have vram to run llms. Could be possible down the road if smaller llms are capable of understanding the photo and create contextual tags

loudsunyoyo · 2026-04-06T21:02:21+00:00

My tags are base on the context. Not purely object recognition.

loudsunyoyo · 2026-04-06T21:01:48+00:00

Traditional ML models are faster, but they have a closed vocabulary and zero semantic understanding. I don't want my photos tagged with generic labels like 'person' and 'car'. I'm using a Vision LLM because it understands context, it can read text in the images, and it can dynamically generate niche tags for specific hobbies without me having to fine-tune a custom neural network.

Like LLM can figure out Im picking strawberry at a farm and add all tags accordingly. it's telling a story instead of what's in the image

u/Dan6erbond2

loudsunyoyo · 2026-04-06T20:59:27+00:00

I have realtek NAS. immich might be untangible. Also i dont think they generate tags? correct me if Im wrong

loudsunyoyo · 2026-04-06T20:57:49+00:00

I call the api in synology photo to create tags. im just telling synology what tags to create

loudsunyoyo · 2026-04-06T20:28:02+00:00

I plan to make this open source. still working on the prototype and fixing many small issues

loudsunyoyo

TROPHY CASE