sshah-gh/whale-recognition

ACM AI SPRING 2021 Project Skeleton Code

Setup

1. Create a new conda environment.

2. Install PyTorch.

3. As you work on the project, you will end up installing many more packages.

Running the Skeleton Code

Running the Code Locally

After activating your conda environment, run the following command:

python main.py

Running the Code on Google Colab

This notebook will walk you through setting the skeleton code up on Google Colab.

Downloading the Dataset From Kaggle

Method 1: Downloading from kaggle.com

1. Go to kaggle.com and create an account.

2. Join either the Cassava leaf or Humpback whale competition.

3. In the data tab, you should be able to download the data as a zip file.

Method 2: Downloading from the Kaggle API

1. Install the Kaggle API:

   pip install kaggle
   

   If you're on Mac or Linux, you may have to run:

   pip install --user kaggle
   

2. Copy the kaggle.json file to the location ~/.kaggle/kaggle.json (or C:\Users\<Windows-username>\.kaggle\kaggle.json if you are on Windows).

3. Download the zipped dataset.

   # Use humpback-whale-identification for 🐋 dataset
   kaggle competitions download -c cassava-leaf-disease-classification