kwea123 / kwea123/nerf_pl

Mesh for Dtu scan9

Open
#93 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
2.8k
Forks
458
PR merge metrics
No merged PRs in 30d

Description

I followed all the steps from COLMAP notebook to Mesh extraction notebook, step by step. Everything worked but the mesh was not colored correctly, It was all black. You have extracted mesh for dtu scan9, it would be great if you could help me reproduce those results.

These were the parameters that I tuned.

xmin, xmax = -1, 1 # left/right range
ymin, ymax = -1, 1 # forward/backward range
zmin, zmax = -1, 1 # up/down range

sigma_threshold = 30

This is my coolorless mesh for dtu scan9.

image

This is what I get after fusing colors as a final mesh.

image

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by rerunning the COLMAP notebook and Mesh extraction notebook for DTU scan9 with the reported bounds and sigma_threshold, then compare the color-fusion stage with the linked images. Done means identifying why the extracted mesh is black and reproducing a correctly colored final mesh.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python, pytorch
Domain
computer-graphics
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.