GAP-LAB-CUHK-SZ / GAP-LAB-CUHK-SZ/MVHumanNet_plusplus
Questions Regarding Image Resolution, Camera Intrinsics, and Frame Rates
- Dominant language
- Python
- Stars
- 70
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thank you for your excellent work.
I noticed that the released dataset appears to be a subset of **MVHumanNet**, but the image resolution is **1024 × 1024**, which seems to differ from the resolution described in the original paper.
Could you please clarify the following points?
1. How should the original images be resized and/or cropped to obtain the target resolution of **1024 × 1024**?
2. Have the corresponding camera intrinsics been adjusted to account for the resizing and cropping operations?
3. Regarding the frame rates, is the data organized as follows?
- **25/25=1 FPS** for IDs beginning with `10****`
- **30/25=1.2 FPS** for IDs beginning with `20****`
Thank you in advance for your clarification.
Contributor guide
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Research direction
Compare the released MVHumanNet++ dataset with the original MVHumanNet paper, focusing on the 1024 × 1024 image preparation, camera intrinsics, and frame-rate organization for 10**** and 20**** IDs. Done means providing authoritative clarification for all three questions; the payload names no repository files or tests.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, data
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100