Name		Name	Last commit message	Last commit date
parent directory ..
Nuclei_Image_Segmentation.ipynb		Nuclei_Image_Segmentation.ipynb
README.md		README.md
dataset.py		dataset.py
dl_extract_prepare.sh		dl_extract_prepare.sh
model.py		model.py
prepare_dataset.py		prepare_dataset.py
requirements.txt		requirements.txt
train_valid_split.json		train_valid_split.json
utils.py		utils.py

README.md

Nuclei Image Segmentation With UNets

This tutorial can be viewed at nbviewer.

Setup

To run the notebook locally, please following the following setup procedure:

Install dependencies: python -m pip install -r requirements.txt
Follow Kaggle's installation and configuration documentation to install and configure the kaggle cli
Go to Kaggle's 2018 Data Science Bowl Competition, click on "Late Submission" and accept the terms and conditions to get access to the data.
Run ./dl_extract_prepare.sh to download, extract and prepare the data.

Running notebook

Start jupyter notebook jupyter notebook
Open Nuclei_Image_Segmentation.ipynb