https://www.kaggle.com/c/whale-categorization-playground

Set up a conda environment for the project

1. open this project in PyCharm
2. open up settings
3. select Project:Whale/Project Interpreter
4. click on the gear
5. select conda, new environment with python 3.6
6. click ok

1. in Whale root, mkdir data
2. download the files from https://www.kaggle.com/c/whale-categorization-playground/data into data
3. unzip train.zip and test.zip
4. move the train dir to raw train: mv train raw_train
5. run the src/utils/prepare_data.py script (you can right click on it and click run)

• this will create a directory in data called train which will have images in the format of label/example1.jpg

1. click on Edit Configurations: from the run menu
2. click the + button, and then Python tests/Unittests
3. name it something like unit tests
4. for the Target/script path navigate to Whale/tests
5. under pattern, put *test.py
6. click on ok
7. click on the play button to run the tests

1. create a conda environment using the requirements.txt: conda install --file requirements.txt
2. run the following command (outputs to TestOutput/log and git adds it): ./run-tests.sh

Either:

• right click on trainer.py in PyCharm and click the run button
• run from the command line: PYTHONPATH=~/PycharmProjects/Whale python src/whale/trainer.py