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contributing.md

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Development Environment setup

Install python 3.6

sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt-get update
sudo apt-get install python3.6

Clone the repository and setup venv

git clone https://github.com/pymit/Rekognition
cd Rekognition
./setup.sh
source myenv/bin/activate

Postgres setup

sudo apt update
sudo apt install postgresql postgresql-contrib
sudo service postgresql start
sudo -u postgres psql

CREATE DATABASE pmr;
CREATE USER admin WITH PASSWORD 'admin';
ALTER ROLE admin SET client_encoding TO 'utf8';
ALTER ROLE admin SET default_transaction_isolation TO 'read committed';
ALTER ROLE admin SET timezone TO 'UTC';
ALTER USER admin CREATEDB;
ALTER DATABASE pmr OWNER TO admin;

ReactJS setup for frontend

git clone https://github.com/pymit/RekoUI
cd RekoUI
sudo apt install npm
sudo npm install -g npm@latest
npm install
npm start

Downloading the models

current directory Rekognition
cd media 
mkdir {face,output,similarFace,text,object}
cd ..
cd corelib/model
mkdir facenet
cd facenet
wget https://www.dropbox.com/s/jm8grrifh5yk7is/2017.zip?dl=1 -O 2017.zip
unzip 2017.zip
rm 2017.zip
cd ..
mkdir tfs
cd tfs
wget https://www.dropbox.com/s/v0ai89jj5npowt1/tfs.zip
unzip tfs.zip
rm tfs.zip
cd ../../..
cd data
mkdir text_reco
cd text_reco
wget https://www.dropbox.com/s/dl/h2owqbmnrsvqo0c/ord_map_en.json
wget https://www.dropbox.com/s/dl/yzkijd7j5yflhli/char_dict_en.json
cd ../..

TensorFlow Serving setup using Docker

sudo apt-get update
sudo apt install docker.io
sudo chmod 666 /var/run/docker.sock
docker pull tensorflow/serving:nightly-devel

docker run -it -p 8500:8500 -p 8501:8501 -v <absolute path to tfs model's parent directory>:/home/ tensorflow/serving:nightly-devel

then in docker shell, run the below command

tensorflow_model_server --port=8500 --rest_api_port=8501 --model_config_file=/home/configs/models.conf

Apply migrations

  • Migrate

    python manage.py makemigrations
python manage.py migrate

  • Staticfiles

    python manage.py collectstatic  --dry-run

Install ffmpeg

sudo apt install ffmpeg

Start django application

python manage.py runserver 8000

Django app can be accessed at http://localhost:8000

ReactJS app can be accessed at http://localhost:3000