Visual Question Answering System
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envs
vqasite
.gitignore
README.md
data.py
evaluate.example.sh
evaluate.py
launch.sh
model.py
run_site.py
train.example.sh
train.py
utils.py

README.md

vqa

Visual Question Answering System

How to run

create environment

cd vqa
conda env create -f envs/environment.yml

download data

cd vqa
mkdir data
cd data

## download necessary files
wget http://visualqa.org/data/abstract_v002/scene_img/scene_img_abstract_v002_train2015.zip
wget http://visualqa.org/data/abstract_v002/scene_img/scene_img_abstract_v002_val2015.zip
wget http://visualqa.org/data/abstract_v002/vqa/Questions_Train_abstract_v002.zip
wget http://visualqa.org/data/abstract_v002/vqa/Questions_Val_abstract_v002.zip
wget http://visualqa.org/data/abstract_v002/vqa/Annotations_Train_abstract_v002.zip
wget http://visualqa.org/data/abstract_v002/vqa/Annotations_Val_abstract_v002.zip

## unzip them
...

train the network

source activate vqa_env
bash train.example.sh