This is forked from a kaggle project [1]. Modified as the following:
- To work on different datasets more easily
- Applied PCA onto the resulting ResNet50-based feature-embedding, to reduce feature dimension from 2048 to 789
- Exported resulting feature vectors and similarity matrix into CSV
[1] https://www.kaggle.com/marlesson/building-a-recommendation-system-using-cnn-v2