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annotations
annotations
 
 
datasets
datasets
 
 
resources
resources
 
 
results
results
 
 
segmentation_models
segmentation_models
 
 
training
training
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
create_cubicasa5k_label_mask.py
create_cubicasa5k_label_mask.py
 
 
create_heatmap.py
create_heatmap.py
 
 
create_multi_label_mask.py
create_multi_label_mask.py
 
 
create_multi_labels.py
create_multi_labels.py
 
 
create_post_process.py
create_post_process.py
 
 
create_post_process_qualitative.py
create_post_process_qualitative.py
 
 
create_r3d_mask.py
create_r3d_mask.py
 
 
cubicasa5k_augment_test.txt
cubicasa5k_augment_test.txt
 
 
cubicasa5k_augment_train.txt
cubicasa5k_augment_train.txt
 
 
cubicasa5k_augment_val.txt
cubicasa5k_augment_val.txt
 
 
cubicasa5k_test.txt
cubicasa5k_test.txt
 
 
cubicasa5k_train.txt
cubicasa5k_train.txt
 
 
cubicasa5k_val.txt
cubicasa5k_val.txt
 
 
evaluate.py
evaluate.py
 
 
evaluate_pp.py
evaluate_pp.py
 
 
merge_cubi_labels.py
merge_cubi_labels.py
 
 
multi_plans_augment_test.txt
multi_plans_augment_test.txt
 
 
multi_plans_augment_train.txt
multi_plans_augment_train.txt
 
 
multi_plans_augment_val.txt
multi_plans_augment_val.txt
 
 
parse_cubi_labels.py
parse_cubi_labels.py
 
 
predict.py
predict.py
 
 
r3d_augment_test.txt
r3d_augment_test.txt
 
 
r3d_augment_train.txt
r3d_augment_train.txt
 
 
r3d_augment_val.txt
r3d_augment_val.txt
 
 
r3d_test.txt
r3d_test.txt
 
 
r3d_train.txt
r3d_train.txt
 
 
r3d_val.txt
r3d_val.txt
 
 
remove_cubi_filter.py
remove_cubi_filter.py
 
 
testgpu.py
testgpu.py
 
 
train_unet2.py
train_unet2.py
 
 

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2d3d

train_unet2.py is currently used for training the models. cab1 and cab2 in /segmentation_models are proposed architecture 1 and 2 respectively.

TODO:

  • Organize files
  • Rename models to more appropriate names

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