zetalemur
Joined 6 years ago
Karma
47
Submissions
42
Member since
Apr 5
Recent submissions
Comment · 1 year ago
Hi HN,
showcasing my project over the last years (again). The updated LC-Product works now pretty streamlined and it makes pretty interesting (and surprisingly good to compress) maps.
Stack is a collection of adjustable U-Nets that make predictions that are merged together to derive the final map.
Happy to answer questions.
Happy holidays and happy hacking.
Comment · 2 years ago
Interesting read - there's a lot of progress in the open map styling scene and OSM maps with good data can make amazing maps and it has many different features [0].
It's also interesting to make maps directly from raw data (in this case that would be aerial imagery with mostly elevation data). E.g. if you find good training data you can easily make "land-cover" maps and although my example (of Austria) [1] does not have annotations (addresses, etc.), it's still nice to look at and has the benefit of being extremely compressible (compared to aerial raw imagery).
[0] https://wiki.openstreetmap.org/wiki/Map_features [1] https://turmfalke.httpd.app/test.html
Comment · 2 years ago
Interesting default rendering choice for `()` in their demo pretty printer. It renders a space before each opening parenthesis.
Comment · 2 years ago
Isn't what you describe a PID-controller: https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%...
AFAIK that is the common approach to solve this problem, but it still needs some degree of sensor accuracy?
Comment · 2 years ago
SEEKING WORK | Part-Time | Remote | Europe
Senior Software Engineer specialized in Django, Pipeline-Development, GIS and applied machine learning in the context of earth observation, sensor mapping in general and remote sensing in particular.
e-mail: [email protected]
Stack:
- Django
- Python (with eco-system: numpy, pytorch, etc.)
- Linux
- Godot
- GDAL
- OpenStreetMap
- Rust
- Bash-Voodoo
Example work: https://turmfalke.httpd.app/test.html
Happy coding and nice to meet you!
Comment · 2 years ago
Interesting. Came to similar conclusions when analyzing my (httpd) access logs for https://turmfalke.httpd.app/demo.html ... but so far nothing really out of the ordinary.
Comment · 3 years ago
Yes, I am aware of Sentinel-2 10m data (RGBN), there are even commercial offerings. Actually the storage requirements are not that big for 10m, like ~4TB for the entire (non-water) world. Napkin math:
- 15000 Sentinel-2 scenes over land
- 10980^2 pixels per scene
- 50% lossless compression per scene
- 4 channels (RGB and infrared)
Thanks for the link to OpenTopography, it's an interesting project and elevation data is extremely valuable.
Comment · 3 years ago
It's a nice start but what we also need would be an "OpenRasterMap" project - a project where we collect raster data (more and more data gets available) and store the entire planet (RGBN aerial imagery) in let's say 1m/Pixel.
It might be feasible to store entire planet's raster tiles in 10 years in a (beefy) desktop machine.
Comment · 4 years ago
That's actually a nice idea. I guess we will see more software in the source code dependencies analysis space. There's so much code and often it's nice to have some kind of metrics (LOC, PageRank, ...) to get a grasp of what's important in a codebase.
Comment · 4 years ago
Wow never heard of GBIF, but you seem to offer useful data. Am I correct that you are in essence providing georeferenced animal/plant population data across the globe in mostly CC license?
So, good luck!
Comment · 4 years ago
Other HN discussion: https://news.ycombinator.com/item?id=30410077
Comment · 5 years ago
> I feel like if I am worried about those issues, when would I ever use sqlite instead of Postgres?
Sometimes you do not want to run an additional process/daemon like postgres. Your state is in essence now a file on some file system that you can atomically (full ACID) update using multi processing without the need for more complex machinery - you can get very far with this architecture.
Comment · 6 years ago
That would have never worked because such a license would be at odds with free and open source licensing and Docker wouldn't have gotten any traction in these communities (that provide the infra backbone of the whole stack).
I get your intention, but monetizing infrastructure and systems code is pretty hard.
E-Mail:
$ echo aG5AemV0YWxhYnMuaW8K | base64 -d
Happy coding
Founder and CTO of ζLabs
https://www.zetalabs.io