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work for data science bowl 2018 Kaggle competition for detecting nuclei from images
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data/test_labels
models
.gitignore
README.md
constants.py
create_submission.py
explore.ipynb
get_data.sh
main.py
naivebayes.ipynb
predict.ipynb
submission.csv
submission_unet.csv
test.py
u-net.ipynb
utils.py
visualize.py

README.md

data-science-bowl-2018

Setup

Download the data from https://www.kaggle.com/c/data-science-bowl-2018/data. Download training data, and create folder structure as follows:

  • data
    • train
      • input
        • unzip stage1_train in here
      • labels
        • unzip stage1_train_labels.csv
    • test
      • unzip test in here

Approach

Running code

Training

run python train.py <model_name> <weights_checkpoint>

Prediction

run python create_submission.py <path_to_weights_file>

References

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