Comments (6)
hi @Bonsen , If you want to set up "train_dir", "mask_dir" and "label_dir" in your directory, you might have to:
- Move /train_stage1 (downloaded from Kaggle) directory to ~/dsb2018_topcoders/data/
- Change line 15 in create_stage1_labels.py to data_folder = path.join(root_data_folder, 'stage1_train').
- run this code by type 'python create_stage1_labels.py'
- run 'python create_masks.py'
Now you should have 670 files in each of the three folders "train_dir", "mask_dir" and "label_dir"
If that does not work, let me know.
from dsb2018_topcoders.
default parameters are specified in params.py
from dsb2018_topcoders.
hi, @selimsef
What's the "labels_dir"?
Thanks
from dsb2018_topcoders.
It was explained in #4
from dsb2018_topcoders.
Hi! @selimsef @dpei what is in folder:"labels_all"? ***.csv?or others?
I run 'python create_masks.py', but nothing product.
Can you show the directory about train data?
from dsb2018_topcoders.
You can download all the data. Updated readme with dropbox link.
from dsb2018_topcoders.
Related Issues (18)
- what is folds.csv? HOT 5
- Loss calculation has an index error HOT 5
- License for this repo HOT 1
- Empty nn_models HOT 3
- question HOT 1
- How to mark nucleus with rectangles? HOT 1
- permission denied error
- Which Keras version are you using for the models in folder Selim? HOT 1
- The dropbox link was broken? HOT 1
- AttributeError: 'NoneType' object has no attribute 'Conv2D' HOT 1
- unable to reproduce the masks HOT 2
- auxiliary files: data/folds.csv HOT 1
- lgbm_models
- where are the tif format labels? HOT 7
- Unused BCEDiceJaccardLoss in loss.py HOT 1
- How do the three input folders correspond to each other? HOT 2
- ImportError: cannot import name 'inception_resnet_block' HOT 1
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