tensorflow / tensorflow/graphics
NASA: generating input tfrecord files
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Description
Hi,
I have some questions about generating input dataset for NASA.
Could you open the script used when generating the sample tfrecord data?
According to section 6.1 in the paper, training data consists of two:
- randomly sample points uniformly within a bounding box scaled to 110% of its original diagonal dimension
- Poisson disk sampling on the surface with normal noise (sigma 0.03)
and the indicator labels are computed by randomized ray casting and checking the parity
I'm wondering how this sampling process was implemented.
Thank you for your great work !
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Research direction
Review tensorflow_graphics/projects/nasa and the “Prepare the dataset” section linked in the issue, then identify where the sample TFRecord data generation is implemented. Document or expose the process for uniform bounding-box sampling, surface Poisson-disk sampling with normal noise, and randomized ray-casting labels, so users can reproduce the sample data.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100