yoheinakajima/glance-speedlab
Measure and optimize local camera inference latency for vision-language models.
- Stars
- 52
- Forks
- 9
- Open issues
- 0
- Last push
- 1mo ago
glance-speedlab star history
+0 this week
About glance-speedlab
glance-speedlab is a free, open-source computer vision tool by yoheinakajima, written mainly in Python. Measure and optimize local camera inference latency for vision-language models. It has 52 GitHub stars and 9 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 52
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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glance-speedlab FAQ
Can I use glance-speedlab commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is glance-speedlab free?
Yes. glance-speedlab is open source and free to use. It's released under the MIT license, a standard open-source license.
Does glance-speedlab run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does glance-speedlab need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is glance-speedlab still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to glance-speedlab?
Similar free, open-source tools include yolov5, vision, supervision, segmentation_models.pytorch.
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