Climate Change AI Hackathon

How to run?

• Install python deps using pip install -r requirements.txt.
• Download train.zip and test.zip from bit.ly/2mgYsqh, extract into a folder named data.
• Run create_tfrecords.py to create training tfrecord. Run slim/train_pc.sh to train model. The loss profile should look something like below.

• Run slim/run_on_test.sh to generate predictions on test set.
• The flask app for monitoring is run by python3 app/app.py.
• slim/export_frozen_graph.sh and slim/export_inference_graph.sh to be used for converting saved TF models to frozen graph and tflite_converter.py to convert to TFLite.
• Android app code inside android.