Keras Layer compatibility #3
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Use upgrade script then remediated code using v1.compatibility
make pip installable as a module
make pip installable
Import CWT package from git hub and use tensorflow 2.0 calling methods
To simplify and speed up calculations, include new option to output as 3 channels of Magnitude
Make compatible with Keras Layer so it can be used in a Keras model, e.g.,
tf.keras.Sequential([ComplexMorletCWT(lower_freq = 20, upper_freq = 500, n_scales = 64, stride=64,
wavelet_width = 16, fs=2042, output='Magnitude'),
efn.EfficientNetB4(include_top=False,weights='imagenet'),
L.GlobalAveragePooling2D(),
L.Dense(32,activation='relu'),
L.Dense(1, activation='sigmoid')])
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Made CWT class compatible with Keras Layers