elerac / structuredlight Goto Github PK

Hi! Thank you for the awesome repo. I am a newbie in this field and do have a question as the title goes.

In my understanding, binary code should only contain binary intensities (i.e., white and black), and gray code can contain different intensities. So encoding the same spatial resolution requires fewer grad patterns than binary ones. But in your repo, I see that the number of binary code and gray code are exactly the same, and the gray code is not really gray but binary. Can you give me some hints on this?

pip install git+https://github.com/elerac/structuredlight --user
Collecting git+https://github.com/elerac/structuredlight
  Cloning https://github.com/elerac/structuredlight to /tmp/pip-req-build-0uxavpp5
  Running command git clone -q https://github.com/elerac/structuredlight /tmp/pip-req-build-0uxavpp5
Requirement already satisfied (use --upgrade to upgrade): structuredlight==1.0.1 from git+https://github.com/elerac/structuredlight in /usr/local/lib/python3.5/dist-packages
Building wheels for collected packages: structuredlight
  Building wheel for structuredlight (setup.py) ... done
  Stored in directory: /tmp/pip-ephem-wheel-cache-tulcnpfd/wheels/50/aa/93/875360f299ad1d3427d286178f48cbe0ed46c858aa0a6c32e0
Successfully built structuredlight

ModuleNotFoundError: No module named 'structuredlight'

does it export .ply or any even point cloud ?

Hey, I've noticed there is an undocumented unstructured encoding method. I've tried it out, and it looks like it would consume a lot of memory to decode. Anything above 100 x 100 pixel does not seem practical on my machine

import structuredlight as sl
import matplotlib.pyplot as plt

us = sl.Unstructured()
imlist_pattern = us.generate((100,100), 10, 32)
res = us.decode( imlist_pattern, imlist_pattern )

plt.imshow( res[0] )

Would you share some insights if this method is useful for any real projector sizes like 1920x1080 at all? It seems the memory needed for decoding would be quite excessive.

Also, in any of the other decoding methods, what would you normally recommend?

Is there a way to decode stereo images?