gcloud Vision API Example

Prerequisites

As a start it is a good practise to create a project folder and create a virtual environment.

Create the environment like this:

python3 -m virtualenv your-virtual-env

activate it with:

source your-virtual-env/bin/activate

Option 1 - REST API

Follow this guide to get started and try the vision API using the command line. https://cloud.google.com/vision/docs/quickstart-cli

Use this python script to get a request json you can send to the Vision API.

You can use the script like this:

python image2request_json.py path/to/your/img

Make the request:

curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
https://vision.googleapis.com/v1/images:annotate -d @your-request.json > your-response.json

Option 2 - Client Libraries

The Quickstart guide for using the client libraries can be found here:
https://cloud.google.com/vision/docs/quickstart-client-libraries

Use this python script to directly request the data via python and get a reduced json, that only includes recognized labels/objects and the scores they have.

python vision_request.py path/to/your/img

Robert, July 16^th, 2020