828j Project
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data_sampling
docs
eval
lsh
nets
utils
weights
.gitignore
configuration.py
constants.py
generate_test_tuples.py
generate_test_tuples.sh
honda_supervised_training.py
motion_tower_train.py
readme.md
requirements.txt
sup_unsup_training.py
supervised_train.py
test_supervised.py
test_supervised.sh
unsupervised_reg_train.py
unsupervised_train.py

readme.md

828J Project Code

This repository maintains the code for 828j project. It is divided into two parts: data sampling, and training/nets

./data_sampling directory contains code for data sampling where high motion aware tuples are sampled. More details here

./net directory contains a Two-Stream network built upon AlexNet. More details here

unsupervised_train.py and supervised_train.py use the two-stream network and ./data_sampling/tuple_loader to train the network during unsupervised (aka self-supervised) and supervised mode respectively.