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ncullen93 / Unet-ants

UNet deep learning model for medical image segmentation
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Help #1

Open czainab opened 6 years ago

czainab commented 6 years ago

Hi, I find your project very helpful and trying to execute it, but there is a problem CSVDataset script is missing. Can you please share that file as well.

czainab commented 6 years ago

@ncullen93 Can you please share the report or research paper of your work.

czainab commented 6 years ago

@ncullen93 I am getting a value error concatenate layer requires input with matching shapes except for the concrete axis.Can you please help me.

shashikale commented 6 years ago

Im getting following errors: 1) In inputs = np.empty((len(load_range), _parse_shape(input_sample))).astype('float32') Parse Error for _parse_shape(

2) python training_3D/train_segmentation_3D.py Error: File "training_3D/train_segmentation_3D.py", line 86, in workers=1, use_multiprocessing=False, initial_epoch=0) File "/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 2107, in fit_generator raise ValueError('validation_steps=None is only valid for a' ValueError: validation_steps=None is only valid for a generator based on the keras.utils.Sequence class. Please specify validation_steps or use the keras.utils.Sequence class.

Any help is highly appreciated