frigate/notebooks/YOLO_NAS_Pretrained_Export.ipynb

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! pip install -q super_gradients==3.7.1

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! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.10/dist-packages/super_gradients/training/pretrained_models.py
! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.10/dist-packages/super_gradients/training/utils/checkpoint_utils.py

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from super_gradients.common.object_names import Models
from super_gradients.conversion import DetectionOutputFormatMode
from super_gradients.training import models

model = models.get(Models.YOLO_NAS_S, pretrained_weights="coco")

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# export the model for compatibility with Frigate

model.export("yolo_nas_s.onnx",
             output_predictions_format=DetectionOutputFormatMode.FLAT_FORMAT,
             max_predictions_per_image=20,
             confidence_threshold=0.4,
             input_image_shape=(320,320),
            )

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from google.colab import files

files.download('yolo_nas_s.onnx')