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Lung Masking/Segmentation from Chest X-Rays using a custom modified lightweight U-Net Architecture,

Home Page: https://lungsegmentation.herokuapp.com/

License: MIT License

Jupyter Notebook 91.61% Python 0.97% CSS 3.79% JavaScript 0.65% SCSS 2.76% HTML 0.21%
chest-xray-images chest-xrays chest-radiographs chest-xray-imaging lung-segmentation website flask flask-application unet unet-image-segmentation

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lungsegmentationcustomunet's Issues

Dependency Issue : AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

(LungUNETCPUEnv) G:\GitLab\LungSegmentationCustomUNET>python lungunetmodel_new.py
2021-05-24 03:30:09.604590: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2021-05-24 03:30:09.605214: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using TensorFlow backend.
Traceback (most recent call last):
File "lungunetmodel_new.py", line 19, in
from keras import backend as keras
File "G:\GitLab\LungSegmentationCustomUNET\LungUNETCPUEnv\lib\site-packages\keras_init_.py", line 12, in
from . import initializers
File "G:\GitLab\LungSegmentationCustomUNET\LungUNETCPUEnv\lib\site-packages\keras\initializers_init_.py", line 124, in
populate_deserializable_objects()
File "G:\GitLab\LungSegmentationCustomUNET\LungUNETCPUEnv\lib\site-packages\keras\initializers_init_.py", line 82, in populate_deserializable_objects
generic_utils.populate_dict_with_module_objects(
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

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