NVIDIA-AI-IOT / NVIDIA-AI-IOT/deepstream_libraries
How to use benchmark.py?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 90
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
Can anyone introduce it or show a use case?
It confusing me a lot.
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 benchmark.py and inspect its usage, inputs, outputs, and any surrounding repository guidance. Add a concise introduction and working use case; done when a reader can run the benchmark and understand what its results mean.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100