Megvii-BaseDetection / Megvii-BaseDetection/DisAlign
the code question in semantic_seg
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 118
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
Hi, I have a questation about the logit_scale and logit_bias in semantic_seg. The shape of the above parameter is (1, num_classes, 1, 1), why not is (1, num_classes, 512, 512) which is matched the input image size for semantic segmenation.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate the semantic_seg implementation and the definitions or uses of logit_scale and logit_bias. Read how these parameters are broadcast during semantic segmentation and review the related model path; done means documenting why their shape is intentional and how it relates to the input image dimensions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100