How to sample the point cloud and choose the bound?
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- Dominant language
- Python
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- 76
- Forks
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Description
Hello，
Thanks for sharing the code. I have seen the preprocessed data includes point cloud with 2048 color points. I want to ask how you choose the points? Just randomly choosing 2048 points from the original point cloud?
And I see the code that near and far are 2 and 6, why do you set these values?
Another question is that how much time to train the whole model?
Thanks!
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Research direction
No source file or test is identified. Start by locating the preprocessing path that produces 2048 color points and the configuration defining near=2 and far=6; then verify the training setup to document the sampling method, bounds, and end-to-end training time.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100