Introduction

Accompanying code for the Deploying a ML Model on Google Compute Engine tutorial on Medium.

Project Structure

.
├── yolo-coco                       # Pre-trained model files
    └── coco.names                  # Object labels (person, car, etc.)
    └── yolov3.cfg                  # Model configuration
    └── yolov3.weights              # Model weights              
├── app.py                          # Flask app serving predictions
├── yolo.py                         # Functions to generate predictions
├── requirements.txt                # Dependencies
└── README.md

Installation Instructions

Create your python environment. If using conda:

conda create -n [name of enviroment] python=3.7

Installation of dependencies:

pip install -r requirements.txt

Running the Flask app on your local:

cd google-cloud-flask-tutorial

conda activate [name of enviroment]

python app.py

Edit and use request.py to send a POST request to the app.