daniilidis-group / daniilidis-group/EV-FlowNet
Is there a need to reactify the raw event data?
- Dominant language
- Python
- Stars
- 193
- Forks
- 42
- PR merge metrics
- No merged PRs in 30d
Description
Hi, Alex
I am wondering if there is a need to reactify the raw event data(indoor and outdoor) ? I notice that you provide reactify_map in MVSEC dataset project website, but it seems that you do not mention it in EVFlowNet data processing?
If I want to generate event_count_time_image using event data and make it correspond to GT flow, I just need to use raw data? Is that right?
Contributor guide
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Research direction
No files or tests are named. Start by comparing the MVSEC dataset project's reactify_map guidance with the EVFlowNet data-processing documentation, then establish whether raw or reactified indoor and outdoor events are required for event_count_time_image and ground-truth flow alignment; done means documenting that answer clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100