It actually rendered an SVG inline in the HTML page. I just tested the SVG and it renders itself just fine, including colors. So, tbh, I'd say the task has been properly achieved.
Re Security: I put my AI assistant in a sandbox. There, it can do whatever it wants, including deleting or mutating anything that would otherwise be harmful.
After the first shot on my iPhone 13 Pro in default settings, it immediately told me my phone was overheating and going to be unstable. Then it crashed. I tried once more, turned off raw mode, waited _minutes_ for one image to process and now my screen turns off and on again randomly while I type this comment.
I’ve seen a talk about this at BOB conference at Berlin some years ago. I learned a lot about DSLs in scheme, also the talk was highly entertaining. I’d recommend it for anyone into scheme or lisp.
PS: No Halloween in Switzerland so I cannot tell(;
It works well with other costumes like Trail Running and Hiking gear. It also works in the dark (IR camera) and in crazy hard tests like just peeking around the corner with only part of the face visible.
Sure. The cameras are Tapo C320WS. They are cheap, waterproof, connect to wifi if there’s no ethernet and can stream video in two resolutions at the same time. I use the lower resolution for motion detection and the higher resolution for object detection and event recording.
The whole thing is running in docker-compose on Raspberry Pi and Coral TPU.
I have set up two zones per camera: The “yard” and the “entry” which is directly in front of the door. Whenever someone is at the entry, I get a notification. Since I walk these paths myself, I have hundreds of test points. Apart from that, I’m happy to _always_ get a notification before the bell rings. And I never have to open the door before I know who is there.
The “yard” part, I review every week. Here, of course, I have no data to compare it to, so I cannot say if it’s missing anything.
So yes, I’m certain it misses nothing that’s important to me - is there someone at my door and who is it.
I’ve been using Frigate for six months on a raspberry pi 4 with a Google Coral TPU. It’s connected to 2 network cameras streaming in 2mp each.
Frigate standalone works super smooth with no hiccups at all. I am using object detection for people and have not yet had a false positive or false negative. Additionally, I record not only the events, but but also a 24/7 video. Frigate takes care of garbage collecting old assets.
I have it hooked up to my Home Assistant running on the same raspberry pi. From there, I get notifications to my phone which include a live video, snapshot and video recording. The UX and configuration options are way better than any commercial end user product I have found.
It’s been a literal lifesaver, also fun and easy to use. Would recommend 10 of 10. I have no affiliation with the maintainers.
Everyone can judge for themselves what is similar and what is not. Having said so, organice has about four times the commits of org-web. It shares a common history, but the last few years have diverged a lot. Also, there is nothing hidden, you’ve found the info right there in the top level readme as you’ve said yourself.
As for bad style, the same could be said about a random person in a forum shaming the many hours of work by a diverse group of hard working individuals putting their work up for free.
First, let me say that they share a lot of similarities. They are both standalone applications to view and edit Org mode files. They are both Free and Open Source applications.
They do take slightly different approaches, though. orgzly is an Android application. organice is a PWA, so you can install it on Android, iOS, or use your desktop browser.