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Installation instructions updated
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‎INSTALLATION.md‎

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sudo apt-get install -y git python-pip python-dev
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sudo apt-get install -y python-dev
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sudo apt-get install -y autoconf automake libtool curl make g++ unzip
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sudo apt-get install -y libgflags-dev libgoogle-glog-dev liblmdb-dev
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sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
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## Installation Instructions
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# install torch
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git clone https://github.com/torch/distro.git ~/torch --recursive
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cd ~/torch; bash install-deps;
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./install.sh
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source ~/.bashrc
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### Installing the Essential requirements
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sudo apt-get install -y git python-pip python-dev
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sudo apt-get install -y python-dev
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sudo apt-get install -y autoconf automake libtool curl make g++ unzip
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sudo apt-get install -y libgflags-dev libgoogle-glog-dev liblmdb-dev
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sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
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# install pytorch
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mkdir Projects
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cd Projects
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git clone https://github.com/hughperkins/pytorch.git
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cd pytorch
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source ~/torch/install/bin/torch-activate
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./build.sh
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### Install Torch
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git clone https://github.com/torch/distro.git ~/torch --recursive
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cd ~/torch; bash install-deps;
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./install.sh
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source ~/.bashrc
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sudo apt-get install -y redis-server rabbitmq-server
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sudo rabbitmq-plugins enable rabbitmq_management
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sudo service rabbitmq-server restart
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sudo service redis-server restart
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### Install PyTorch(Python Lua Wrapper)
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git clone https://github.com/hughperkins/pytorch.git
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cd pytorch
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source ~/torch/install/bin/torch-activate
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./build.sh
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# install nginx
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sudo apt-get update
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sudo apt-get install -y python-software-properties
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sudo add-apt-repository ppa:nginx/development
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sudo apt-get install -y nginx
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### Install RabbitMQ and Redis Server
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sudo apt-get install -y redis-server rabbitmq-server
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sudo rabbitmq-plugins enable rabbitmq_management
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sudo service rabbitmq-server restart
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sudo service redis-server restart
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luarocks install loadcaffe
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### Lua dependencies
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luarocks install loadcaffe
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The below two dependencies are only required if you are going to use GPU
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# if gpu
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luarocks install cudnn
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luarocks install cunn
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luarocks install cudnn
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luarocks install cunn
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# cuda installation
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# link to download cuda https://developer.nvidia.com/cuda-downloads
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cd ..
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mkdir cuda_installation
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cd cuda_installation
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export DEBIAN_FRONTEND=noninteractive
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sudo apt-get update -q -y
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sudo apt-get -q -y -o Dpkg::Options::="--force-confdef" -o Dpkg::Options::="--force-confold" install linux-generic
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wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
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### Cuda Installation
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sudo dpkg -i cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
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sudo apt-get update -q -y
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sudo apt-get install cuda -q -y
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Note: CUDA and cuDNN is only required if you are going to use GPU
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# install cudnn
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export CUDA_HOME=/usr/local/cuda-7.5
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export LD_LIBRARY_PATH=${CUDA_HOME}/lib64
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PATH=${CUDA_HOME}/bin:${PATH}
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export PATH
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Download and install CUDA and cuDNN from [nvidia website](https://developer.nvidia.com/cuda-downloads)
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sudo add-apt-repository ppa:graphics-drivers/ppa
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sudo apt-get update
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sudo apt-get install nvidia-370
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### Install dependencies
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git clone https://github.com/Cloud-CV/Grad-CAM.git
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cd Grad-CAM
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git submodule init && git submodule update
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sh models/download_models.sh
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pip install -r requirements.txt
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python -m nltk.downloader all
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#install cudnn from nvidia site and then run the following command
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export LD_LIBRARY_PATH=`pwd`:$LD_LIBRARY_PATH
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### Running the RabbitMQ workers and Development Server
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#install dependencies
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cd ..
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git clone https://github.com/Cloud-CV/Grad-CAM.git
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cd Grad-CAM
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Open 4 different terminal sessions and run the following commands:
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git submodule init && git submodule update
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sh models/download_models.sh
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pip install -r requirements.txt
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python worker_vqa.py
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python worker_classify.py
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python worker_captioning.py
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python manage.py runserver
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python -m nltk.downloader all
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python manage.py collectstatic
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You are all set now. Visit http://127.0.0.1:8000 and you will have your demo running successfully.

‎README.md‎

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VQA Demo: http://gradcam.cloudcv.org/vqa
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![Imgur](http://i.imgur.com/6jB4lAq.gif)
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Classification Demo: http://gradcam.cloudcv.org/vqa
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![Imgur](http://i.imgur.com/a1IiQg4.gif)
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Captioning Demo: http://gradcam.cloudcv.org/captioning
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![Imgur](http://i.imgur.com/BsOOpIn.gif)
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## Installing / Getting started
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We use RabbitMQ to queue the submitted jobs. Also, we use Redis as backend for realtime communication using websockets.
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All the instructions for setting Grad-CAM from scratch can be found [here](http://github.com/Cloud-CV/Grad-CAM/installation.md)
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All the instructions for setting Grad-CAM from scratch can be found [here](https://github.com/Cloud-CV/Grad-CAM/blob/master/INSTALLATION.md)
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Note: For best results, its recommended to run the Grad-CAM demo on GPU enabled machines.
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