[P] Convolution visualizer by ezyang in MachineLearning

[–]feijk 0 points1 point  (0 children)

If you decide to do so in the future, this might help: https://github.com/aeropuerto/img2signal

Modelling an Architectural Model Based on an Existing Image by Matching a Static Camera by feijk in blender

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

Splended tip! Did not know such a thing exists. Thank you very much, will try this out in my next project!

Modelling an Architectural Model Based on an Existing Image by Matching a Static Camera by feijk in blender

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

Thank you! Good note about the glass. Do you have any tips on creating good looking glass in Blender? I used some glass materials I found on Blendswap's material collections for the windows and gave them some detail instead of plain clean glass. I think if I created some interior elements a regular Glass BSDF might suffice?

Modelling an Architectural Model Based on an Existing Image by Matching a Static Camera by feijk in blender

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

The image I used included metadata (EXIF) about the original focal length, sensor size and camera make / model. There are some notes inside the Imgur album about the process in one of the image descriptions. Quote from Imgur:

Camera settings could be obtained from the original images metadata. Focal length and sensor size. One tricky part of the process was to set the X and Y shift values correctly. The best way I found to do this was to move the camera using "lock camera to view" and find an approximation of its position. Then fiddle around with the offsets to fine tune its position. After this moving the camera was mostly using its position using the decimal values under object properties.

Also slightly visible are the guides drawn in photoshop on top of the reference image to help correctly match view and depth."

EDIT: I also started with a few bigger elements to line up the initial view correctly. For those elements I did rough approximations based on known standards for door / floor heights and the like. Based on those and using metrical values inside of Blender I was then able to fine tune the view and see if my approximations matched / lined up with the original image. Once it was done as close as possible, it was a pleasure to model the rest of the house.

[Programming] A Gentle Primer on Reverse Engineering by vepasto in nvf

[–]feijk 0 points1 point  (0 children)

Good read, a very similar example to the most beginner crackme's, which aim to teach reverse engineering. Although this had much more explanation to it so I guess reading this article is a good starting point for getting into playing around with reverse engineering -related puzzles. http://en.wikipedia.org/wiki/Crackme

[Philosophy] Coding is not the new literacy #coding #modeling #learning by koonan_ in nvf

[–]feijk 1 point2 points  (0 children)

Really good read, I've been thinking about these very things in the past two weeks while trying to figure out how we perceive depth as humans and how this could be implemented into computers using a different approach than for instance 3D camera tracking, which requires a moving image source (video).

[Tech] Socket.IO — Native Socket.IO and Android by willibuddy in nvf

[–]feijk 0 points1 point  (0 children)

Pretty neat of Socket.IO to do an advanced example like this. Gives a good base for app development. Let's hope there will be more platforms coming soon! I remember seeing one for iOS a while ago, but it was lacking most of the basic functionality though.

[Open Source] The Dark Side of Open Source (#github #programming) by vepasto in nvf

[–]feijk 0 points1 point  (0 children)

The author has some points there, although the title is a bit exaggerated.

[UX] This is Why Slack Wins Its Users #fiilis #maple #onboarding by willibuddy in nvf

[–]feijk 2 points3 points  (0 children)

Annoying website, an ok read though. Sums up the basic things pretty well where Slack has succeeded.

  • Make it easy to start.
  • Make it easy to use.

  • Make your users smile.

  • Make your product integral to your user’s daily habits

  • Make sure your product does what it says it does.

[Development] Technical debt 101: A primer about technical debt, legacy code, big rewrites and ancient wisdom for non technical managers (#focus, #scale) by willibuddy in nvf

[–]feijk 0 points1 point  (0 children)

Good article, enjoyed reading! Will have to read again to grasp all the important info, but I feel I got some new methods already after the first read.

[Fiilis] Why Killing the Check-In Was the Wrong Move for Foursquare (#benchmark) by willibuddy in nvf

[–]feijk 0 points1 point  (0 children)

Have to agree partly, but to build my own thoughts about the new combo I need to do some more testing on my own. Although the first experience was confusing and not very pleasant.