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@@ -18,8 +18,8 @@ def label_verification(model_filename: str, framework: str='pytorch', mode: str=
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:param model_filename: 模型权重文件（onnx格式）
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:param framework: 框架类型 ('pytorch' 或 'tensorflow')
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:param mode: 验证模式 ('blackbox' 或 'whitebox')
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- :param model_type: 模型类型，例如 'AlexNet', 'VGG16', 'GoogleNet', 'ResNet',
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- 或 'faster_rcnn', 'ssd', 'yolox'
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+ :param model_type: 模型类型，例如 'alexNet', 'vggnet', 'googleNet', 'resnet',
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+ 或 'fasterrcnn', 'ssd', 'yolox'
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:return: 模型标签验证结果
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"""
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model_type = model_type.lower()
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@@ -30,7 +30,7 @@ def label_verification(model_filename: str, framework: str='pytorch', mode: str=
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processor_class = None
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# 分类模型处理逻辑
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- if model_type in ['alexnet', 'vgg16', 'googlenet', 'resnet']:
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+ if model_type in ['alexnet', 'vggnet', 'googlenet', 'resnet']:
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if mode == 'blackbox':
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if framework == 'pytorch':
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processor_class = classification_pytorch_blackbox_process.ModelWatermarkProcessor(model_filename)
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@@ -43,7 +43,7 @@ def label_verification(model_filename: str, framework: str='pytorch', mode: str=
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processor_class = classification_all_whitebox_process.ModelWatermarkProcessor(model_filename)
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# 目标检测模型处理逻辑
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- elif model_type == 'faster_rcnn':
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+ elif model_type == 'fasterrcnn':
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if framework == 'pytorch' and mode == 'blackbox':
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processor_class = faster_rcnn_pytorch_blackbox_process.ModelWatermarkProcessor(model_filename)
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elif framework == 'pytorch' and mode == 'whitebox':
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