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qiaoguan / Person-reid-GAN-pytorch

A Pytorch Implementation of "Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro"(ICCV17)
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Error(s) in loading state_dict for ft_net_dense #18

Open amirgholipour opened 5 years ago

amirgholipour commented 5 years ago

Hi thanks for your code. I have trained the model by the command that you provided. However, wen i want to test the model this error was displayed: Error(s) in loading state_dict for ft_net_dense: Missing key(s) in state_dict: "model.features.conv0.weight", "model.features.norm0.weight", "model.features.norm0.bias", "model.features.norm0.running_mean", "model.features.norm0.running_var", "model.features.denseblock1.denselayer1.norm1.weight", "model.features.denseblock1.denselayer1.norm1.bias", "model.features.denseblock1.denselayer1.norm1.running_mean", "model.features.denseblock1.denselayer1.norm1.running_var", "model.features.denseblock1.denselayer1.conv1.weight", "model.features.denseblock1.denselayer1.norm2.weight", "model.features.denseblock1.denselayer1.norm2.bias", "model.features.denseblock1.denselayer1.norm2.running_mean", "model.features.denseblock1.denselayer1.norm2.running_var", "model.features.denseblock1.denselayer1.conv2.weight", "model.features.denseblock1.denselayer2.norm1.weight", "model.features.denseblock1.denselayer2.norm1.bias", "model.features.denseblock1.denselayer2.norm1.running_mean", "model.features.denseblock1.denselayer2.norm1.running_var", "model.features.denseblock1.denselayer2.conv1.weight", "model.features.denseblock1.denselayer2.norm2.weight", "model.features.denseblock1.denselayer2.norm2.bias", "model.features.denseblock1.denselayer2.norm2.running_mean", "model.features.denseblock1.denselayer2.norm2.running_var", "model.features.denseblock1.denselayer2.conv2.weight", "model.features.denseblock1.denselayer3.norm1.weight", "model.features.denseblock1.denselayer3.norm1.bias", "model.features.denseblock1.denselayer3.norm1.running_mean", "model.features.denseblock1.denselayer3.norm1.running_var", "model.features.denseblock1.denselayer3.conv1.weight", "model.features.denseblock1.denselayer3.norm2.weight", "model.features.denseblock1.denselayer3.norm2.bias", "model.features.denseblock1.denselayer3.norm2.running_mean", "model.features.denseblock1.denselayer3.norm2.running_var", "model.features.denseblock1.denselayer3.conv2.weight", "model.features.denseblock1.denselayer4.norm1.weight", "model.features.denseblock1.denselayer4.norm1.bias", "model.features.denseblock1.denselayer4.norm1.running_mean", "model.features.denseblock1.denselayer4.norm1.running_var", "model.features.denseblock1.denselayer4.conv1.weight", "model.features.denseblock1.denselayer4.norm2.weight", "model.features.denseblock1.denselayer4.norm2.bias", "model.features.denseblock1.denselayer4.norm2.running_mean", "model.features.denseblock1.denselayer4.norm2.running_var", "model.features.denseblock1.denselayer4.conv2.weight", "model.features.denseblock1.denselayer5.norm1.weight", "model.features.denseblock1.denselayer5.norm1.bias", "model.features.denseblock1.denselayer5.norm1.running_mean", "model.features.denseblock1.denselayer5.norm1.running_var", "model.features.denseblock1.denselayer5.conv1.weight", "model.features.denseblock1.denselayer5.norm2.weight", 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"model.features.denseblock4.denselayer4.conv2.weight", "model.features.denseblock4.denselayer5.norm1.weight", "model.features.denseblock4.denselayer5.norm1.bias", "model.features.denseblock4.denselayer5.norm1.running_mean", "model.features.denseblock4.denselayer5.norm1.running_var", "model.features.denseblock4.denselayer5.conv1.weight", "model.features.denseblock4.denselayer5.norm2.weight", "model.features.denseblock4.denselayer5.norm2.bias", "model.features.denseblock4.denselayer5.norm2.running_mean", "model.features.denseblock4.denselayer5.norm2.running_var", "model.features.denseblock4.denselayer5.conv2.weight", "model.features.denseblock4.denselayer6.norm1.weight", "model.features.denseblock4.denselayer6.norm1.bias", "model.features.denseblock4.denselayer6.norm1.running_mean", "model.features.denseblock4.denselayer6.norm1.running_var", "model.features.denseblock4.denselayer6.conv1.weight", "model.features.denseblock4.denselayer6.norm2.weight", 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"model.features.denseblock4.denselayer13.conv1.weight", "model.features.denseblock4.denselayer13.norm2.weight", "model.features.denseblock4.denselayer13.norm2.bias", "model.features.denseblock4.denselayer13.norm2.running_mean", "model.features.denseblock4.denselayer13.norm2.running_var", "model.features.denseblock4.denselayer13.conv2.weight", "model.features.denseblock4.denselayer14.norm1.weight", "model.features.denseblock4.denselayer14.norm1.bias", "model.features.denseblock4.denselayer14.norm1.running_mean", "model.features.denseblock4.denselayer14.norm1.running_var", "model.features.denseblock4.denselayer14.conv1.weight", "model.features.denseblock4.denselayer14.norm2.weight", "model.features.denseblock4.denselayer14.norm2.bias", "model.features.denseblock4.denselayer14.norm2.running_mean", "model.features.denseblock4.denselayer14.norm2.running_var", "model.features.denseblock4.denselayer14.conv2.weight", "model.features.denseblock4.denselayer15.norm1.weight", "model.features.denseblock4.denselayer15.norm1.bias", "model.features.denseblock4.denselayer15.norm1.running_mean", "model.features.denseblock4.denselayer15.norm1.running_var", "model.features.denseblock4.denselayer15.conv1.weight", "model.features.denseblock4.denselayer15.norm2.weight", "model.features.denseblock4.denselayer15.norm2.bias", "model.features.denseblock4.denselayer15.norm2.running_mean", "model.features.denseblock4.denselayer15.norm2.running_var", "model.features.denseblock4.denselayer15.conv2.weight", "model.features.denseblock4.denselayer16.norm1.weight", "model.features.denseblock4.denselayer16.norm1.bias", "model.features.denseblock4.denselayer16.norm1.running_mean", "model.features.denseblock4.denselayer16.norm1.running_var", "model.features.denseblock4.denselayer16.conv1.weight", "model.features.denseblock4.denselayer16.norm2.weight", "model.features.denseblock4.denselayer16.norm2.bias", "model.features.denseblock4.denselayer16.norm2.running_mean", "model.features.denseblock4.denselayer16.norm2.running_var", "model.features.denseblock4.denselayer16.conv2.weight", "model.features.norm5.weight", "model.features.norm5.bias", "model.features.norm5.running_mean", "model.features.norm5.running_var", "model.classifier.weight", "model.classifier.bias", "model.fc.0.weight", "model.fc.0.bias", "model.fc.1.weight", "model.fc.1.bias", "model.fc.1.running_mean", "model.fc.1.running_var", "classifier.0.weight", "classifier.0.bias". Unexpected key(s) in state_dict: "module.model.features.conv0.weight", "module.model.features.norm0.weight", "module.model.features.norm0.bias", "module.model.features.norm0.running_mean", "module.model.features.norm0.running_var", "module.model.features.norm0.num_batches_tracked", "module.model.features.denseblock1.denselayer1.norm1.weight", "module.model.features.denseblock1.denselayer1.norm1.bias", "module.model.features.denseblock1.denselayer1.norm1.running_mean", "module.model.features.denseblock1.denselayer1.norm1.running_var", "module.model.features.denseblock1.denselayer1.norm1.num_batches_tracked", "module.model.features.denseblock1.denselayer1.conv1.weight", "module.model.features.denseblock1.denselayer1.norm2.weight", "module.model.features.denseblock1.denselayer1.norm2.bias", "module.model.features.denseblock1.denselayer1.norm2.running_mean", "module.model.features.denseblock1.denselayer1.norm2.running_var", "module.model.features.denseblock1.denselayer1.norm2.num_batches_tracked", "module.model.features.denseblock1.denselayer1.conv2.weight", "module.model.features.denseblock1.denselayer2.norm1.weight", "module.model.features.denseblock1.denselayer2.norm1.bias", "module.model.features.denseblock1.denselayer2.norm1.running_mean", "module.model.features.denseblock1.denselayer2.norm1.running_var", "module.model.features.denseblock1.denselayer2.norm1.num_batches_tracked", "module.model.features.denseblock1.denselayer2.conv1.weight", "module.model.features.denseblock1.denselayer2.norm2.weight", "module.model.features.denseblock1.denselayer2.norm2.bias", "module.model.features.denseblock1.denselayer2.norm2.running_mean", "module.model.features.denseblock1.denselayer2.norm2.running_var", "module.model.features.denseblock1.denselayer2.norm2.num_batches_tracked", "module.model.features.denseblock1.denselayer2.conv2.weight", "module.model.features.denseblock1.denselayer3.norm1.weight", "module.model.features.denseblock1.denselayer3.norm1.bias", "module.model.features.denseblock1.denselayer3.norm1.running_mean", "module.model.features.denseblock1.denselayer3.norm1.running_var", "module.model.features.denseblock1.denselayer3.norm1.num_batches_tracked", "module.model.features.denseblock1.denselayer3.conv1.weight", "module.model.features.denseblock1.denselayer3.norm2.weight", "module.model.features.denseblock1.denselayer3.norm2.bias", "module.model.features.denseblock1.denselayer3.norm2.running_mean", "module.model.features.denseblock1.denselayer3.norm2.running_var", "module.model.features.denseblock1.denselayer3.norm2.num_batches_tracked", "module.model.features.denseblock1.denselayer3.conv2.weight", "module.model.features.denseblock1.denselayer4.norm1.weight", "module.model.features.denseblock1.denselayer4.norm1.bias", "module.model.features.denseblock1.denselayer4.norm1.running_mean", "module.model.features.denseblock1.denselayer4.norm1.running_var", "module.model.features.denseblock1.denselayer4.norm1.num_batches_tracked", "module.model.features.denseblock1.denselayer4.conv1.weight", "module.model.features.denseblock1.denselayer4.norm2.weight", "module.model.features.denseblock1.denselayer4.norm2.bias", "module.model.features.denseblock1.denselayer4.norm2.running_mean", "module.model.features.denseblock1.denselayer4.norm2.running_var", "module.model.features.denseblock1.denselayer4.norm2.num_batches_tracked", "module.model.features.denseblock1.denselayer4.conv2.weight", "module.model.features.denseblock1.denselayer5.norm1.weight", "module.model.features.denseblock1.denselayer5.norm1.bias", "module.model.features.denseblock1.denselayer5.norm1.running_mean", "module.model.features.denseblock1.denselayer5.norm1.running_var", "module.model.features.denseblock1.denselayer5.norm1.num_batches_tracked", "module.model.features.denseblock1.denselayer5.conv1.weight", "module.model.features.denseblock1.denselayer5.norm2.weight", "module.model.features.denseblock1.denselayer5.norm2.bias", "module.model.features.denseblock1.denselayer5.norm2.running_mean", "module.model.features.denseblock1.denselayer5.norm2.running_var", "module.model.features.denseblock1.denselayer5.norm2.num_batches_tracked", "module.model.features.denseblock1.denselayer5.conv2.weight", "module.model.features.denseblock1.denselayer6.norm1.weight", "module.model.features.denseblock1.denselayer6.norm1.bias", "module.model.features.denseblock1.denselayer6.norm1.running_mean", "module.model.features.denseblock1.denselayer6.norm1.running_var", "module.model.features.denseblock1.denselayer6.norm1.num_batches_tracked", "module.model.features.denseblock1.denselayer6.conv1.weight", "module.model.features.denseblock1.denselayer6.norm2.weight", "module.model.features.denseblock1.denselayer6.norm2.bias", "module.model.features.denseblock1.denselayer6.norm2.running_mean", "module.model.features.denseblock1.denselayer6.norm2.running_var", "module.model.features.denseblock1.denselayer6.norm2.num_batches_tracked", "module.model.features.denseblock1.denselayer6.conv2.weight", "module.model.features.transition1.norm.weight", "module.model.features.transition1.norm.bias", "module.model.features.transition1.norm.running_mean", "module.model.features.transition1.norm.running_var", "module.model.features.transition1.norm.num_batches_tracked", "module.model.features.transition1.conv.weight", "module.model.features.denseblock2.denselayer1.norm1.weight", "module.model.features.denseblock2.denselayer1.norm1.bias", "module.model.features.denseblock2.denselayer1.norm1.running_mean", "module.model.features.denseblock2.denselayer1.norm1.running_var", "module.model.features.denseblock2.denselayer1.norm1.num_batches_tracked", "module.model.features.denseblock2.denselayer1.conv1.weight", "module.model.features.denseblock2.denselayer1.norm2.weight", "module.model.features.denseblock2.denselayer1.norm2.bias", "module.model.features.denseblock2.denselayer1.norm2.running_mean", "module.model.features.denseblock2.denselayer1.norm2.running_var", "module.model.features.denseblock2.denselayer1.norm2.num_batches_tracked", "module.model.features.denseblock2.denselayer1.conv2.weight", "module.model.features.denseblock2.denselayer2.norm1.weight", "module.model.features.denseblock2.denselayer2.norm1.bias", "module.model.features.denseblock2.denselayer2.norm1.running_mean", "module.model.features.denseblock2.denselayer2.norm1.running_var", "module.model.features.denseblock2.denselayer2.norm1.num_batches_tracked", "module.model.features.denseblock2.denselayer2.conv1.weight", "module.model.features.denseblock2.denselayer2.norm2.weight", "module.model.features.denseblock2.denselayer2.norm2.bias", "module.model.features.denseblock2.denselayer2.norm2.running_mean", "module.model.features.denseblock2.denselayer2.norm2.running_var", "module.model.features.denseblock2.denselayer2.norm2.num_batches_tracked", 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"module.model.fc.1.num_batches_tracked", "module.classifier.0.weight", "module.classifier.0.bias".

May you please Help me to solve it. I have run the code based on pytorch 0.3.

Thanks in advance.

qiaoguan commented 5 years ago

https://www.zhihu.com/question/67726969/answer/389980788 you can refer to this answer to see if it helps you