dazcona/air-quality

💨 Measure air quality using Computer Vision

Air Quality

This project uses Computer Vision to measure air quality

Demo

Technologies

• Flask
• Bootstrap
• Numpy
• Docker
• OpenCV

Deployment using Docker

0. Pre-requisites: Docker and git should be installed in your machine. For Docker go to https://www.docker.com/ and install it.

1. Open a terminal and clone the repository:

$ git clone https://github.com/dazcona/air-quality

1. Navigate to the project and then go to the docker directory:

$ cd air-quality
$ cd docker

2. Build image with Docker Compose using the Makefile's command:

$ make build

3. Run the image to start the container:

$ make run

4. CLI to the container:

$ make dev

5. Run the development server:

$ python src/app.py

6. Open a browser such as Chrome and go to http://localhost:5000/

7. Upload images via the interface and check the results!

Resources

• https://github.com/dazcona/flaskerizer
• https://github.com/dazcona/viz