starshipwinepineapple

In your docker-compose.yaml you need to add in your directory if you haven't already

services:
  immich-server:
    volumes:
      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
+     # Add NAS pictures and videos folders to use as External Libraries
+     - "/volume1/data/ Pictures:/usr/src/app/library/pictures"

Then in immich you need to add this as an external library. Click your profile icon -> administration -> external library -> create library. It will ask for a path and you need to use the library mount point within docker which was /usr/src/app/library/pictures from my example. Click add path

That should get you good to go

You're right to question this.

In machine learning Accuracy means the correct % of overall classifications. There's some other terms like:

• Precision which is the % of correctly identified positives divided by the number of positive classifications. A high precision score would mean that of everyone who flagged as a match you had relatively few who were not actual shoplifters.
• Recall (true positive rate) which is the % of correctly identified positives divided by all actual positives. A high recall score measures how many shoplifters you caught and would minimize false negatives, but at the cost of more false positives.

So in the case of classification of shoplifters ideally you would focus on Precision as false positives are undesired, but if a company doesn't care about false positives as much as getting the shoplifters they'd focus on Recall. In either event, Accuracy is a poor metric to use or advertise in an imbalanced data set like shoplifting as most customers are not shoplifters so even if the model didn't classify anyone as a shoplifter they'd still be 99+% accurate.

I used umami cloud (free tier) on my personal site for 6-12 months and can recommend it. I ultimately decided to switch to just a simple counter for visits and likes because that's all i care about and i don't like collecting more information than i "need". Now my website has no other tracking/analytics and the entire site still works even if Javascript is disabled.

For a business if you're wanting a Google analytics alternative then umami does a great job. Self hosted option available as well.

To your initial question, if you'd actually use the data then i would recommend some form of privacy respecting analytics on your business site though. Since you seem privacy conscious i just wouldn't put more analytics on your website than you'd personally be ok with as an end user

Your github has no source code or licensing. Not sure if that was intentional or not since i see your github acct is only a few days old

Keep that n8n updated. Theres been several high and critical severity CVE's recently and I'm betting more to come

I see you're new to lemmy so maybe you missed reading the comments from the last time you asked this question https://programming.dev/post/48344373

what you use for your documentation

Hugo (markdown) files that i host on my internal server.

how you organize it

I use basic directory structure. Top level directories are like "dev", "home", "general". Self hosting is a dev/ subdir.

what information you include

Depends on how familiar i am with it and how often I'll be referencing it. Something i know well or access often will be more high level. Things like an annual process i have documented in more detail

how you work documentation into your changes/tinkering flow

My site has an "edit this page" feature which i use to open my IDE and make the change as I'm doing things. Sometimes I'll be lazy and just add in what i did this time and then let future me reconcile the differences 🙃

To be fair MS makes orders of magnitude more money and has the benefit of operations at scale. Whereas codeberg's operational budget for 2025 was 100k euro and they still need to deal with DDoS and bot scraping. They also were running off a single server up until sept'25 when they had two donated hardware services which are now hooked up to make a 3 node ceph cluster.

Yup! Mostly symfonium since i mostly use my phone for music. Started using feishin recently for desktop use and have been really impressed with it. I can recommend both!

for music both jellyfin and navidrome are subsonic API compatible for use with mobile and desktop apps (like symfonium and feishin). Some people choose to just use jellyfin instead of a dedicated music service. Personally i still run navidrome for music. I give some thoughts on that here

This is what i do. Have certbot running every night, and it'll auto skip if it is too soon to renew. If renew is successful then it'll deploy. Pretty much set and forget it.

I also dropped strava a while ago. For me it was because they updated their privacy policy to blanket allow ai training with your data to both strava and any partners. They claimed it was only for XYZ but the privacy policy allowed it for any use which i consider dangerous for health and geospatial related data without specific, informed consent.

But for alternatives, when i was into cycling/triathlons i used golden cheetah extensively. It's UI takes some getting used but ime it was more powerful than anything else once you got used to it. I used it as a strava premium/trainingpeaks premium alternative and had multiple athletes (me+coaching) in there.