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First of all, thank you for this tool and making your pre-trained models publicly available. I tried to conduct the WMH segmentation in one subject using a T1w and a FLAIR image of one subject using the HyperMapp3r GUI. However, I received the following warnings and errors.
Could you help me to solve this issue?.
Thank you very much in advance.
Using TensorFlow backend.
QPixmap::scaled: Pixmap is a null pixmap
Using TensorFlow backend.
t1w path: /home/usuario/Escritorio/try/t1_4189.nii
flair path: /home/usuario/Escritorio/try/mrfl_4189.nii
mask path:
mask path:
mask path: /home/usuario/Escritorio/try/brainmask_4189.nii
Warning: input image is not in RPI or LPI orientation..
re-orienting image to standard orientation based on orient tags (please make sure they are correct)
LPI
Warning: input image is not in RPI or LPI orientation..
re-orienting image to standard orientation based on orient tags (please make sure they are correct)
LPI
pre-processing t1_4189
skull stripping ...
cropping ...
standardization ...
mean is:962.13794
std is:315.2472
pre-processing mrfl_4189
Warning: input image is not in RPI or LPI orientation..
re-orienting image to standard orientation based on orient tags (please make sure they are correct)
LPI
skull stripping ...
cropping ...
standardization ...
mean is:989.2982
std is:353.02637
resmapling ...
resmapling ...
predicting WMH segmentation using MC Dropout with 20 samples
0
loading pre-trained model
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:497: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3636: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:228: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:159: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:164: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:169: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:173: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:182: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:189: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3019: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob.
Traceback (most recent call last):
File "/home/usuario/anaconda3/bin/hypermapper", line 33, in
sys.exit(load_entry_point('HyperMapp3r', 'console_scripts', 'hypermapper')())
File "/home/usuario/HyperMapp3r/hypermapper/cli.py", line 164, in main
args.func(args)
File "/home/usuario/HyperMapp3r/hypermapper/cli.py", line 37, in run_hypermapper
hypermapper.main(args)
File "/home/usuario/HyperMapp3r/hypermapper/segment/hypermapper.py", line 384, in main
affine=res.affine, output_label_map=True, labels=1)
File "/home/usuario/HyperMapp3r/hypermapper/deep/predict.py", line 91, in run_test_case
model.load_weights(model_weights)
File "/home/usuario/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py", line 2622, in load_weights
load_weights_from_hdf5_group(f, self.layers)
File "/home/usuario/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py", line 3090, in load_weights_from_hdf5_group
original_keras_version = f.attrs['keras_version'].decode('utf8')
AttributeError: 'str' object has no attribute 'decode'
The text was updated successfully, but these errors were encountered:
I'm trying out this tool now, and ran into the same problem. Posting the solution that worked for me for anyone else who ends up here. it's due to python version differences, as described here
Just swap in your /path/to/site-packages ( /home/usuario/anaconda3/lib/python3.7/site-packages in the above) and run this line: sed -i.bak "s/.decode('utf8')//g" /path/to/site-packages/keras/engine/topology.py
Dear experts,
First of all, thank you for this tool and making your pre-trained models publicly available. I tried to conduct the WMH segmentation in one subject using a T1w and a FLAIR image of one subject using the HyperMapp3r GUI. However, I received the following warnings and errors.
Could you help me to solve this issue?.
Thank you very much in advance.
Using TensorFlow backend.
QPixmap::scaled: Pixmap is a null pixmap
Using TensorFlow backend.
t1w path: /home/usuario/Escritorio/try/t1_4189.nii
flair path: /home/usuario/Escritorio/try/mrfl_4189.nii
mask path:
mask path:
mask path: /home/usuario/Escritorio/try/brainmask_4189.nii
running HyperMapp3r with the following command:
hypermapper seg_wmh --t1w /home/usuario/Escritorio/try/t1_4189.nii --flair /home/usuario/Escritorio/try/mrfl_4189.nii --mask /home/usuario/Escritorio/try/brainmask_4189.nii
Using TensorFlow backend.
input subject: try
pre-processing.......
Warning: input image is not in RPI or LPI orientation..
re-orienting image to standard orientation based on orient tags (please make sure they are correct)
LPI
Warning: input image is not in RPI or LPI orientation..
re-orienting image to standard orientation based on orient tags (please make sure they are correct)
LPI
pre-processing t1_4189
skull stripping ...
cropping ...
standardization ...
mean is:962.13794
std is:315.2472
pre-processing mrfl_4189
Warning: input image is not in RPI or LPI orientation..
re-orienting image to standard orientation based on orient tags (please make sure they are correct)
LPI
skull stripping ...
cropping ...
standardization ...
mean is:989.2982
std is:353.02637
resmapling ...
resmapling ...
predicting WMH segmentation using MC Dropout with 20 samples
0
loading pre-trained model
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:497: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3636: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:228: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:159: The name tf.get_default_session is deprecated. Please use tf.compat.v1.get_default_session instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:164: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:169: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:173: The name tf.global_variables is deprecated. Please use tf.compat.v1.global_variables instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:182: The name tf.is_variable_initialized is deprecated. Please use tf.compat.v1.is_variable_initialized instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:189: The name tf.variables_initializer is deprecated. Please use tf.compat.v1.variables_initializer instead.
WARNING:tensorflow:From /home/usuario/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3019: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use
rate
instead ofkeep_prob
. Rate should be set torate = 1 - keep_prob
.Traceback (most recent call last):
File "/home/usuario/anaconda3/bin/hypermapper", line 33, in
sys.exit(load_entry_point('HyperMapp3r', 'console_scripts', 'hypermapper')())
File "/home/usuario/HyperMapp3r/hypermapper/cli.py", line 164, in main
args.func(args)
File "/home/usuario/HyperMapp3r/hypermapper/cli.py", line 37, in run_hypermapper
hypermapper.main(args)
File "/home/usuario/HyperMapp3r/hypermapper/segment/hypermapper.py", line 384, in main
affine=res.affine, output_label_map=True, labels=1)
File "/home/usuario/HyperMapp3r/hypermapper/deep/predict.py", line 91, in run_test_case
model.load_weights(model_weights)
File "/home/usuario/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py", line 2622, in load_weights
load_weights_from_hdf5_group(f, self.layers)
File "/home/usuario/anaconda3/lib/python3.7/site-packages/keras/engine/topology.py", line 3090, in load_weights_from_hdf5_group
original_keras_version = f.attrs['keras_version'].decode('utf8')
AttributeError: 'str' object has no attribute 'decode'
The text was updated successfully, but these errors were encountered: