Profiler

A very simple implementation of face recognition (called 'profiler' here because I like the videogame 'Watch Dogs').

Installation

Windows

For node server/api

1. Cd into server directory:

       cd server

2. Install node dependencies and dev dependencies:

       npm i

For python client/program (make sure pipenv is installed using pip)

1. Cd into client directory:

       cd client

2. Create a virtual environment (and activate virtual environment):

       pipenv shell

3. Install dependencies from requirements.txt:

       pipenv install

macOS

For node server/api

1. Cd into server directory:

       cd server

2. Install node dependencies and dev dependencies:

       npm i

For python client/program (make sure pipenv is installed using pip)

1. Cd into client directory:

       cd client

2. Create a virtual environment (and activate virtual environment):

       pipenv shell

3. Install dependencies from requirements.txt:

       pipenv install

Linux

For node server/api

1. Cd into server directory:

       cd server

2. Install node dependencies and dev dependencies:

       npm i

For python client/program (make sure pipenv is installed using pip)

1. Cd into client directory:

       cd client

2. Create a virtual environment (and activate virtual environment):

       pipenv shell

3. Install dependencies from requirements.txt:

       pipenv install

Configuration

1. Create a .env file in the root of client and server directory.

2. Add the following environment variables to the .env file for node server:

    MONGO_URI = your_mongodb_uri
    APP_PORT = port_number
    FILE_OBJECT_NAME = name_of_the_key_for_files_in_form_data
    APP_MEDIA_PATH = path_to_directory_for_file_storage

3. Add the following environment variables to the .env file for python client:

    APP_MEDIA_PATH = path_to_directory_for_file_storage
    MONGO_HOST  = mongo_db_host
    MONGO_PORT  = mongo_db_port
    MONGO_DATABASE = mongo_db_database_name
    MONGO_COLLECTION  = mongo_db_collection_name

4. When both terminals are open (and in the client dir virtual env is activated):

   To run the server

      npm run dev

   To run the client

      python3 __main__.py