Autodistill YOLO-NAS Module
This repository contains the code supporting the YOLO-NAS target model for use with Autodistill.
YOLO-NAS is an object detection model developed by Deci AI.
You can use autodistill to train a YOLO-NAS object detection model on a dataset of labelled images generated by the base models that autodistill supports.
Read the full Autodistill documentation.
Read the YOLO-NAS Autodistill documentation.
Installation
To use the YOLOv5 target model, you will need to install the following dependency:
pip3 install autodistill-yolo-nas
Quickstart
from autodistill_yolo_nas import YOLONAS
target_model = YOLONAS("YOLOv5n.pt")
# train a model
# specify the directory where your annotations (in YOLO format) are stored
target_model.train("./context_images_labeled", epochs=20)
# run inference on the new model
pred = target_model.predict("./context_images_labeled/train/images/dog-7.jpg", confidence=0.01)
License
The YOLO-NAS model is licensed under the YOLO-NAS License.
🏆 Contributing
We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!
1 maintainer
Metadata
1 maintainer
Release files for autodistill-yolonas 0.1.1
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