mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-07-20 18:59:01 +03:00
CI / ARM Build (push) Has been cancelled
CI / Jetson Jetpack 6 (push) Has been cancelled
CI / AMD64 Extra Build (push) Has been cancelled
CI / ARM Extra Build (push) Has been cancelled
CI / Synaptics Build (push) Has been cancelled
CI / Assemble and push default build (push) Has been cancelled
CI / AMD64 Build (push) Has been cancelled
2.5 KiB
2.5 KiB
In [ ]:
! pip install -q "jedi>=0.16"
! pip install -q git+https://github.com/Deci-AI/super-gradients.gitIn [ ]:
! sed -i 's/sghub\.deci\.ai/d2gjn4b69gu75n.cloudfront.net/g; s/sg-hub-nv\.s3\.amazonaws\.com/d2gjn4b69gu75n.cloudfront.net/g' /usr/local/lib/python*/dist-packages/super_gradients/training/pretrained_models.py
! sed -i 's/sghub\.deci\.ai/d2gjn4b69gu75n.cloudfront.net/g; s/sg-hub-nv\.s3\.amazonaws\.com/d2gjn4b69gu75n.cloudfront.net/g' /usr/local/lib/python*/dist-packages/super_gradients/training/utils/checkpoint_utils.pyIn [ ]:
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')