ByteDance-Seed / ByteDance-Seed/Depth-Anything-3
Why Does Batch Processing Result in Inferior Depth Estimation Quality?
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 702
- PR merge metrics
- No merged PRs in 30d
Description
Great work! I have a question. When I test the demo on HuggingFace, if I input 10 images at once, the depth results for each image are not as good as when I input them one by one. Why is this happening? The depth estimation quality for each image in batch processing is inferior to processing them individually.
Contributor guide
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Research direction
No repository file or test is named. Reproduce the HuggingFace demo with one image and with a batch of 10, then inspect the batch-processing and depth-estimation entry points to compare their behavior. Done means identifying the cause of the quality difference and validating a documented or tested correction.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100