Convolutional-MLPs改造

Convolutional-MLPs

人脸识别用，112*112返回7*7特征：

调用代码：

import torchfrom src import convmlp_sif __name__ == '__main__':model = convmlp_s(num_classes=100)state_dict = torch.load("convmlp_s_imagenet.pth")new_state_dict = {}for k, v in state_dict.items():if 'module.' in k:new_state_dict[k[7:]] = velse:if "head" in k:continuenew_state_dict[k] = vmodel.load_state_dict(new_state_dict, strict=False)# model.load_state_dict(state_dict,strict=False)model.eval()model_path = "dicenet.pth"torch.save(model.state_dict(), model_path)import osimport timefsize = os.path.getsize(model_path)fsize = fsize / float(1024 * 1024)print(f"model size {round(fs

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Convolutional-MLPs改造

Convolutional-MLPs

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