Convolutional-MLPs改造
【摘要】
Convolutional-MLPs
人脸识别用,112*112返回7*7特征:
调用代码:
import torch from src import convmlp_s if __name__ == '__main__': model = convmlp_s(num_classes=100) sta...
Convolutional-MLPs
人脸识别用,112*112返回7*7特征:
调用代码:
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import torch
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from src import convmlp_s
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if __name__ == '__main__':
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model = convmlp_s(num_classes=100)
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state_dict = torch.load("convmlp_s_imagenet.pth")
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new_state_dict = {}
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for k, v in state_dict.items():
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if 'module.' in k:
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new_state_dict[k[7:]] = v
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else:
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if "head" in k:
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continue
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new_state_dict[k] = v
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model.load_state_dict(new_state_dict, strict=False)
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# model.load_state_dict(state_dict,strict=False)
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model.eval()
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model_path = "dicenet.pth"
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torch.save(model.state_dict(), model_path)
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import os
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import time
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fsize = os.path.getsize(model_path)
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fsize = fsize / float(1024 * 1024)
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print(f"model size {round(fs
文章来源: blog.csdn.net,作者:AI视觉网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/120904487
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