DogBreed_gluon
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features shape
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.
Thanks for any suggestion
可能由于 gluon 的更新,你需要加一个 GlobalAveragePooling。