HongChuang/ultralytics-ascend
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Start export implementation (#110)

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Glenn Jocher 2022-12-29 14:17:14 +01:00 • committed by GitHub
parent c1b38428bc
commit 92dad1c1b5
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32 changed files with 827 additions and 222 deletions
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29
tests/test_model.py
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@ -62,6 +62,35 @@ def test_model_train_pretrained():
model(img)
def test_exports():
"""
Format Argument Suffix CPU GPU
0 PyTorch - .pt True True
1 TorchScript torchscript .torchscript True True
2 ONNX onnx .onnx True True
3 OpenVINO openvino _openvino_model True False
4 TensorRT engine .engine False True
5 CoreML coreml .mlmodel True False
6 TensorFlow SavedModel saved_model _saved_model True True
7 TensorFlow GraphDef pb .pb True True
8 TensorFlow Lite tflite .tflite True False
9 TensorFlow Edge TPU edgetpu _edgetpu.tflite False False
10 TensorFlow.js tfjs _web_model False False
11 PaddlePaddle paddle _paddle_model True True
"""
from ultralytics import YOLO
from ultralytics.yolo.engine.exporter import export_formats
print(export_formats())
model = YOLO.new("yolov8n.yaml")
model.export(format='torchscript')
model.export(format='onnx')
model.export(format='openvino')
model.export(format='coreml')
model.export(format='paddle')
def test():
test_model_forward()
test_model_info()