kaggle-rsna18

(โ˜… 222)

Code for 1st place solution in Kaggle RSNA Pneumonia Detection Challenge.

File Explorer

Download Latest Version (.zip)
  • .gitignore
  • entry_points.md
  • LICENSE
  • predict.sh
  • predict_simple.sh
  • prepare_data.sh
  • README.md
  • requirements.txt
  • SETTINGS.json
  • train.sh
  • train_simple.sh

# Installation Guide

1. Get the code
git clone https://github.com/i-pan/kaggle-rsna18

Downloads the entire project code from GitHub to your computer.

cd kaggle-rsna18

Moves into the project folder you just downloaded.

2. Python

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
conda create -n kaggle-rsna18 python=2.7 pip

Type this command into your terminal and run it.

pip install -r requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

โœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

3. Make

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
โš ๏ธ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
cd models/DeformableConvNets/lib

This project's files live in a subfolder, so move into it first.

make

Compiles the code based on the generated build configuration to produce an executable.

โœ… If it finishes without errors, it worked. Try running the generated executable directly.

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// repository documentation