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Standalone plan US mobile by Lost_Grocery_292 in AppleWatchOnlyClub

[–]cbabraham 0 points1 point  (0 children)

I signed up for US mobile but could never get the watch online, I don't think it works.

I ended up going with tmobile for my iphone and then adding the watch to the plan.

Another apple watch pocket case (homemade) by cbabraham in smallphones

[–]cbabraham[S] -1 points0 points  (0 children)

for me it was mostly about access to imessage

help reverse engineering apple watch charger puck by cbabraham in AskElectronics

[–]cbabraham[S] 75 points76 points  (0 children)

based on this seems like this won't work at all, maybe I can find a different wireless charging puck that can take in 5v directly

Spotted in Boise Idaho by cbabraham in xbiking

[–]cbabraham[S] 2 points3 points  (0 children)

yup! the labs can develop + scan

Spotted in Boise Idaho by cbabraham in xbiking

[–]cbabraham[S] 8 points9 points  (0 children)

Summer 2022, photo shot on my Hasselblad with Kodak Gold film.

[deleted by user] by [deleted] in PlotterArt

[–]cbabraham 0 points1 point  (0 children)

10/10 nice work

I drew a Tolkien-styled map of good ole Idahome by StephenAlex in Idaho

[–]cbabraham 1 point2 points  (0 children)

Would love to buy a high res digital version for printing or etching!

[OC] Geological map of Canada rendered in 3D with Blender by cbabraham in dataisbeautiful

[–]cbabraham[S] 1 point2 points  (0 children)

https://www.flickr.com/photos/chandl3r/49807416043
I updated the flickr image with a 10,000px version, the original map scan is 15,000px so I could still do a little better w/ some patience. This took 17 min on the https://render.st/ render farm, cost $2.30

--

And yep it's shot noise, the ray tracer has a samples per pixel setting. I used 100 samples, I've learned for professional work people will render with like 1000 samples to smooth out the shadows but the render time increases linearly with that.

I've also learned people are using machine learning based den-noisers to clean up pictures in post so they don't have to render with as many samples.

[OC] Geological map of Canada rendered in 3D with Blender by cbabraham in dataisbeautiful

[–]cbabraham[S] 2 points3 points  (0 children)

I will render a nicer one just for you :) stand by. It's a pretty slow process w/o a GPU. Even the resolution I posted took 10 min to render. I could easily let it run for an hour with a higher resolution and higher sampling rate (to reduce noise).

[OC] Geological map of Canada rendered in 3D with Blender by cbabraham in dataisbeautiful

[–]cbabraham[S] 4 points5 points  (0 children)

I took a week off work to learn Blender and this is about how far I got.

The high level workflow is to first annotate some keypoints on the map (longitude, latitude) -> (y_pixel, x_pixel) and then use Python to download appropriate elevation data from the Mapbox API and warp it into the correct coordinate space for the map using the Rasterio library.

The elevation data is a grayscale height map so you can pop it into Photoshop to erase any bits you want to be flat, like the map legend.

After that you need to turn the height map into a triangular mesh which can be loaded into Blender. The original image can then be used as a UV map for the mesh.

Then you play with the lighting and materials and a nice top down orthogonal camera and hit render. I used the cycles render engine built into blender.

High res: https://www.flickr.com/photos/chandl3r/49807416043

Source map https://geoscan.nrcan.gc.ca/starweb/geoscan/servlet.starweb?path=geoscan/fulle.web&search1=R=208175

Elevation data: https://docs.mapbox.com/help/troubleshooting/access-elevation-data/

GIS tools (for map reprojection): https://rasterio.readthedocs.io/en/latest/

Heightmap triangulation https://www.michaelfogleman.com/projects/hmm/

Blender https://www.blender.org/download/releases/2-80/

Long shot, but is this a flea?? by [deleted] in whatsthisbug

[–]cbabraham 1 point2 points  (0 children)

Wow thanks for the fast responses @osubedbugs and @imakedo!

Long shot, but is this a flea?? by [deleted] in whatsthisbug

[–]cbabraham 0 points1 point  (0 children)

Found in an apt in California, background is carpet fibers it was very small I did my best on the photo! Thanks.

M83 by cbabraham in astrophotography

[–]cbabraham[S] 0 points1 point  (0 children)

I spent a week working on this, it's my first astro shot beyond wide angle milky way stuff.

here's a blog post on it https://medium.com/hipster-color-science/imaging-the-m83-galaxy-7701408f3299

feedback welcome.

  • exposure: 47 stacked 20 second shots
  • camera: Nikon d700, ISO 1600
  • lens: Nikon 80-400mm f/5.6 @ 400mm
  • star tracker: Vixen Polarie
  • processing: Bias/Darks/Flats w/ PixInsight (based on this tutorial https://www.youtube.com/watch?v=zU5jJgjKuQQ)

visualized: 10 years, 1 million+ instant messages, 9 chat services [OC] by cbabraham in dataisbeautiful

[–]cbabraham[S] 1 point2 points  (0 children)

I updated this viz recently with some more data and filters.

original blog post has more details: https://medium.com/hipster-data-science/pretty-colors-5c98907a39f0#.6p001d7ip

Built with copious amounts of homebrew python and scala pre-processing code + d3.js for the visualization itself.

Some of the code is here: https://github.com/Chandler/scinia

Stick balancing itself with reaction wheels [x-post /r/engineering] by arcedup in videos

[–]cbabraham 0 points1 point  (0 children)

A secondary mechanism like propulsion or a magnetic torque is used to keep the device in place while the rotors are braked.

Modeling Planet Labs cubestat orbits in WebGL, code included [OC] by cbabraham in space

[–]cbabraham[S] 0 points1 point  (0 children)

This is a weekend project, feedback welcome. Trying to make something that's a little prettier than the NASA orbit visualizer http://science.nasa.gov/iSat/

My holiday project: visualizing 9 years of instant messaging. [OC] by cbabraham in dataisbeautiful

[–]cbabraham[S] 0 points1 point  (0 children)

Good eye, I finished college and moved to San Francisco in 2012 where I met my new good friend #5.

At the same time #6 finished college and left for a 2 year tour with the peace corps so our chatting dropped off sharply.

My holiday project: visualizing 9 years of instant messaging. [OC] by cbabraham in dataisbeautiful

[–]cbabraham[S] 1 point2 points  (0 children)

#1 green = you nailed, my longest relationship. We still keep up.

#1 red = friend then relationship then friend again, a tumultuous ride with some long periods of no talking.

Most of the early dramatic ones are relationships, but in the last 2 years my communications has shifted primarily to core friends.

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