Technical Documentation

For the documentation of specific methods consider the docstrings and inline comments of these methods.

Main

The main method is structured as follows:

1. Argument Parsing

2. Data Loading

3. Model Preparation and loading

4. Optimizer and Loss Setup

5. CUDA Setup

6. Training or Predict

LAMP

The Model can be found in the src/lamp/Models.py

Note

In the LAMP directory we only contributed the RESNETs in the Decoders.py and Models.py

Evaluation

To reconstruct our evaluation process, use the plots/plot_training.ipynb file. The averaged results are attached in the results directory as CSV files.