deepinsight / deepinsight/insightface
Scrfd Computation distribution
- Dominant language
- Python
- Stars
- 29.7k
- Forks
- 6.1k
- PR merge metrics
- No merged PRs in 30d
Description
What is meant by computation distribution in paper is it model parallelism. IF so, then you are picking 320 model based on your Manuel adjustments and Manuel population Creation, and checking their computation distribution. Then models, and taking model with highest AP in neck head and backbone all. Am I correct? Also I am guessing in Nas here there is no evolutionary algorithm or reinforcement learning here. Moreover you are using resnet with blocks adjusted according to regent. Sorry it is long.
Contributor guide
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Research direction
The issue names SCRFD and asks about computation distribution, manual population, AP selection, and NAS methods, but mentions no files, tests, or entry points. Start by locating the SCRFD NAS implementation and its accompanying documentation or paper, then verify whether these details are documented. Done means answering each question with project-specific references.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100