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I am trying to run the model, but there's a error in this line:
features = np.concatenate([features_resnet, features_densenet, features_inception], axis=-1)
Error is caused by the inconsistent dimensions.
Then I check the shape of features_resnet, features_densenet, features_inception. Find that their shapes are not the same. I pretrain the features using the preprocessing file.
The text was updated successfully, but these errors were encountered:
I am trying to run the model, but there's a error in this line:
features = np.concatenate([features_resnet, features_densenet, features_inception], axis=-1)
Error is caused by the inconsistent dimensions.
Then I check the shape of features_resnet, features_densenet, features_inception. Find that their shapes are not the same. I pretrain the features using the preprocessing file.
The text was updated successfully, but these errors were encountered: