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update for only no ct

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This commit is contained in:
Jeremy Hummel 2019-08-14 11:48:57 -07:00
commit 9dd3f68da8
1 changed files with 9 additions and 3 deletions
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12
models/Model_SAE/Model.py
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@ -433,13 +433,19 @@ class SAEModel(ModelBase):
self.AE_view = K.function([warped_src, warped_dst],
[pred_src_src[-1], pred_dst_dst[-1], pred_src_dst[-1]])
else:
# Updated "pred_src_dst[-1]" to "pred_src_dst[-1][:4]", as it was breaking on images with 4th channel
if self.options['learn_mask']:
self.AE_convert = K.function([warped_dst], [pred_src_dst[-1][:4], pred_dst_dstm[-1], pred_src_dstm[-1]])
if self.options['apply_random_ct']:
params = [pred_src_dst[-1], pred_dst_dstm[-1], pred_src_dstm[-1]]
else:
params = [pred_src_dst[-1][:4], pred_dst_dstm[-1], pred_src_dstm[-1]]
else:
self.AE_convert = K.function([warped_dst], [pred_src_dst[-1][:4]])
if self.options['apply_random_ct']:
params = [pred_src_dst[-1]]
else:
params = [pred_src_dst[-1][:4]]
self.AE_convert = K.function([warped_dst], params)
if self.is_training_mode:
self.src_sample_losses = []