kllaodong / carvana-challenge

My repository for the Carvana Image Masking Challenge

Home Page:https://www.kaggle.com/c/carvana-image-masking-challenge

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Carvana challenge

This repository holds the code for the carnava image making challenge. It's meant to show how to construct Unets with Pytorch in a concise and straightforward way.

Dependencies

Usage

In the notebook/ folder you'll find a jupyter notebook containing a little exploratory data analysis. To run the script you'll need to set 2 variables in your environment, KAGGLE_USER and KAGGLE_PASSWD:

export KAGGLE_USER="your_kaggle_username"
export KAGGLE_PASSWD="your_kaggle_password"

This will allow you to automatically check and download the required dataset from Kaggle. When it's done simply execute the main file with:

python src/main.py

If you want to take a look at the prediction at each epochs you can use tensorboard with:

tensorboard --logdir=./logs

About

My repository for the Carvana Image Masking Challenge

https://www.kaggle.com/c/carvana-image-masking-challenge

License:MIT License


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