WBAI 2018 Hackathon Oculomotor Project Repository.
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README.md
requirements.txt

README.md

oculomotor

WBAI 2018 Hackathon Oculomotor Project Repository.

preview

Requirements

Docker

How to install

After successfull install, you should be able to run docker ps and get something like this:

$ docker ps
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

Usage

The code can be executed in two modes: the interactive mode and batch training mode.

Common Instructions

Clone this repository

$ git clone --recursive https://github.com/wbap/oculomotor

Build the docker containers

$ cd oculomotor
$ docker build -t wbap/oculomotor .

Edit the files under application/functions as you like

Running in Interactive Mode

Run the container using the helper script

$ ./helpers/interactive.sh

Open the monitor interface in the browser

Access the monitor. http://0.0.0.0:5000/monitor/index.html

screenshot

Running in Batch Training Mode

Run the container using the helper script

 $ ./helpers/train.sh --content=1 --step_size=1000000 --log_file=experiment0

Show training graph

Show training graph with TensorBoard tool.

 $ ./helpers/board.sh

Access the log page. http://0.0.0.0:6006/

tensorboard

Run Final Evaluation

Run the container using the helper evaluation script

 $ ./helpers/evaluate.sh --log_file=evaluate0