frigate/notebooks/YOLO_NAS_Pretrained_Export.ipynb at 141cf393682d4809e2a0bb1ecd94de822c74e72f

mirror of https://github.com/alexhopeoconnor/frigate.git synced 2026-10-16 08:31:36 +10:00

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T

Blake Blackshear 4313fd97aa Adds support for YOLO-NAS in OpenVino (#11645 )

* update onnxruntime

* support for yolo-nas in openvino

* cleanup notebook

* update docs

* improve docs

* handle AUTO issue and update docs

2024-06-07 05:52:08 -06:00

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! pip install -q super_gradients==3.7.1

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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),
            )

In [ ]:

from google.colab import files

files.download('yolo_nas_s.onnx')

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