21 lines
731 B
Python
21 lines
731 B
Python
import onnxruntime as ort
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import numpy as np
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# 检查 Python 端模型
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python_model = "./checkpoints/face_recognizer.onnx"
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session = ort.InferenceSession(python_model)
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# 获取输出信息
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output_info = session.get_outputs()[0]
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print(f"Python 模型输出名称: {output_info.name}")
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print(f"Python 模型输出形状: {output_info.shape}")
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print(f"Python 模型输出维度: {output_info.shape[1] if len(output_info.shape) > 1 else 'Unknown'}")
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# 创建测试输入
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test_input = np.random.randn(1, 3, 248, 248).astype(np.float32)
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input_name = session.get_inputs()[0].name
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result = session.run(None, {input_name: test_input})
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print(f"\n实际输出形状: {result[0].shape}")
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print(f"实际特征维度: {result[0].shape[1]}")
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