nanoowl
A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.
Run a fast object detection system on NVIDIA devices that can identify and classify items based on text descriptions.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.
nanoowl has 440 stars on GitHub. It has been forked 75 times. nanoowl is written mainly in Python. It has been in active development since 2023. nanoowl is available under the Apache-2.0 license. Its main topics are detect, fast, inference, jetson.
What is nanoowl?
A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.
Is nanoowl open source?
nanoowl is an open-source project. It is released under the Apache-2.0 license.
Is nanoowl free?
Yes. nanoowl is free and open source — you can use, modify and self-host it.
What license does nanoowl use?
nanoowl is available under the Apache-2.0 license.
What language is nanoowl written in?
nanoowl is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nvidia-ai-iot-nanoowl.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.