frigate/notebooks/YOLO_NAS_Pretrained_Export.ipynb at caebc583dacbdcd9e2ee2aa01ac40ca4be607143

mirror of https://github.com/alexhopeoconnor/frigate.git synced 2026-10-15 16:01:20 +10:00

Files

T

Nicolas Mowen 6a487a5dc7 Update yolonas docs (#17736 )

* Adjust pre_nms predictions to increase performance

* Update yolonas export and rocm inference times

2025-04-16 09:01:15 -06:00

2.3 KiB

Raw Blame History

In [ ]:

! pip install -q git+https://github.com/Deci-AI/super-gradients.git

In [ ]:

! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.11/dist-packages/super_gradients/training/pretrained_models.py
! sed -i 's/sghub.deci.ai/sg-hub-nv.s3.amazonaws.com/' /usr/local/lib/python3.11/dist-packages/super_gradients/training/utils/checkpoint_utils.py

In [ ]:

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")

In [ ]:

# export the model for compatibility with Frigate

model.export("yolo_nas_s.onnx",
             output_predictions_format=DetectionOutputFormatMode.FLAT_FORMAT,
             max_predictions_per_image=20,
             num_pre_nms_predictions=300,
             confidence_threshold=0.4,
             input_image_shape=(320,320),
            )

In [ ]:

from google.colab import files

files.download('yolo_nas_s.onnx')

2.3 KiB Raw Blame History

2.3 KiB

Raw Blame History