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VGG16-CapsNet

2020-03-27 | |  35 |   0 |   0

VGG16-CapsNet

CapsNet adaptation to melanoma detection.

To run this model you need:

1-A dataset with the features extracted by some other network (In this case VGG16) and save as .npy.

2-Run "create_name_list.py" with the directories of train, test and, validation, to create a list with all the names of the features files, and its respective labels.

3-Run "create_pickle_npy.py" to create batches of pickles to feed the Capsnet.

obs: You need to save as testX.npy...trainX.npy...validX.npy...

4-Run "capsulenet.py"

obs: The "ft.py" file do the extraction, u just need to load it with your onw keras model


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