def __init__(self, patch_shape, kernel, hyperparameters):
self.cropper1d = Cropper(patch_shape[:1], kernel, hyperparameters, name="cropper1d")
self.cropper3d = Cropper(patch_shape , kernel, hyperparameters, name="cropper3d")
self.patch_shape = patch_shape
self.n_spatial_dims = len(patch_shape)
# self.fc_conv = masonry.construct_cnn(
# name="fc_conv",
# layer_specs=[
# ],
# input_shape=(patch_shape[0], 1),
# n_channels=4096,
# batch_normalize=hyperparameters["batch_normalize_patch"])
self.conv_conv = masonry.construct_cnn(
name="fc_conv",
layer_specs=[
dict(size=(5, 1, 1), num_filters=512, pooling_size=(2, 1, 1), pooling_step=(2, 1, 1)),
dict(size=(5, 1, 1), num_filters=512, pooling_size=(2, 1, 1), pooling_step=(2, 1, 1)),
],
input_shape=patch_shape,
n_channels=512,
batch_normalize=hyperparameters["batch_normalize_patch"])
