CS231N/CS230 Final Course Project
Follow this exactly! With one exeception, storage size. Keep in mind the 'Data/' folder alone (without videos, just preprocessed features) requires about 90GB of data. http://cs231n.github.io/gce-tutorial/
Make Data directory
mkdir Data
cd Data
Download IDs and Labels for All Splits
curl -O https://cs.stanford.edu/people/ranjaykrishna/densevid/captions.zip
unzip captions.zip
Download CD3 Features
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/activitynet_v1-3.part-00
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/activitynet_v1-3.part-01
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/activitynet_v1-3.part-02
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/activitynet_v1-3.part-03
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/activitynet_v1-3.part-04
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/activitynet_v1-3.part-05
curl -O http://ec2-52-11-11-89.us-west-2.compute.amazonaws.com/data/challenge16/features/c3d/PCA_activitynet_v1-3.hdf5
Group unzipped splitted files
cat activitynet_v1-3.part-* > temp.zip
Unzip files
unzip temp.zip
{
version: "VERSION 1.0",
results: {
v_5n7NCViB5TU: [
{
sentence: "One player moves all around the net holding the ball", # String description of an event.
timestamp: [1.23,4.53] # The start and end times of the event (in seconds).
},
{
sentence: "A small group of men are seen running around a basketball court playing a game".
timestamp: [5.24, 18.23]
}
]
}
external_data: {
used: true, # Boolean flag. True indicates the use of external data.
details: "First fully-connected layer from VGG-16 pre-trained on ILSVRC-2012 training set", # This string details what kind of external data you used and how you used it.
}
}
Start Screen Session
screen -S jupyter
start jupyter notebook
jupyter notebook
detach Press CTRL-A, D
re-attach to this screen session
screen -r jupyter
export PYTHONPATH=$(pwd)
https://github.com/escorciav/daps
https://github.com/antoine77340/LOUPE
https://github.com/ranjaykrishna/densevid_eval
Paper and Benchmarks https://arxiv.org/abs/1705.00754
Dataset http://cs.stanford.edu/people/ranjaykrishna/densevid/
ActivityNet Home Page http://activity-net.org/
Dense-Captioning Task Page http://activity-net.org/challenges/2018/tasks/anet_captioning.html