YOLOv8 / cut-onnx.py
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initial the models of yolov8 using ax650&ax620e
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import onnx
input_path = "yolov8s.onnx"
output_path = "yolov8s-cut.onnx"
input_names = ["images"]
output_names = ["/model.22/Concat_output_0",
"/model.22/Concat_1_output_0",
"/model.22/Concat_2_output_0",]
onnx.utils.extract_model(input_path, output_path, input_names, output_names)