Comments (1)
Dushuai12138
commented on June 12, 2024
model_name = 'inceptionresnetv2' # could be fbresnet152 or inceptionresnetv2
model = pretrainedmodels.__dict__[model_name](num_classes=1001, pretrained=None)
model_to_load = torch.load(root + "model_file/inceptionresnetv2-520b38e4.pth") # 注意修改
model.load_state_dict(model_to_load, strict=True)
model.last_linear = nn.Linear(1536, 6 * 101)
it is the previous codes, it can run well. but when i replace them with
model_name = 'Alexnet' # could be fbresnet152 or inceptionresnetv2
model = models.alexnet(pretrained=True)
num_fc = model.classifier[6].in_features
model.classifier[6] = torch.nn.Linear(in_features=num_fc, out_features=606)
i got a result which has the same number
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