Setting up Google Vision API in Python

Setting up Google Vision API in Python

Table of Contents:

  1. Introduction to Google's Vision AI API
  2. Creating a Google Cloud Service Account
  3. Downloading the Token File
  4. Constructing the Vision Client Instance
  5. Enabling the Vision API Service
  6. Creating Service Accounts
  7. Creating Credentials for the Service Account
  8. Saving the Token File
  9. Creating a Virtual Environment for the Project
  10. Installing the Google Client Library for Python

Introduction to Google's Vision AI API

In this video tutorial, we will Continue our exploration of Google's Vision AI API. We will learn how to Create a Google Cloud service account, download the token file, and construct a vision client instance for accessing various Google Vision API services.

1. Creating a Google Cloud Service Account

To get started, visit the Google Vision Documentation page and search for the Vision API. Click on the Vision API link to access the API details. Here, You will find instructions on creating a new project and enabling the Vision API service.

2. Downloading the Token File

After enabling the Vision API service, go to the Google Cloud Console and make sure your project is set as the active project. From the navigation menu, navigate to the API & Services section and click on "Credentials". Here, you can create a new service account. Give the account a unique name and choose the appropriate roles.

3. Constructing the Vision Client Instance

Once the service account is created, a JSON token file will be generated. Save this file in a recognizable location, as it will be used to access all the machine learning and AI API services. Let's now create a virtual environment for our project and install the necessary Python library for the Google Vision API.

4. Enabling the Vision API Service

To enable the Vision API service, go to the API & Services section in the Google Cloud Console and click on "Library". Search for the Vision API and enable the Cloud Vision API service if it is not already enabled.

5. Creating Service Accounts

Under the "Credentials" section in the Google Cloud Console, you can create multiple service accounts. These accounts allow you to securely access different API services. Create a new service account and choose a name for it. Assign the desired roles to the service account.

6. Creating Credentials for the Service Account

To create credentials for the service account, click on the "Create Credentials" button. Choose "Service Account Key" and select the previously created service account. Select the appropriate key Type and click on "Create" to generate the token JSON file. Save this file in a location that is easily accessible.

7. Saving the Token File

Save the token file in a directory of your choice. This file will be used to authenticate your requests to the Google Vision API. Ensure that you save the file in a secure location and do not share it with unauthorized individuals.

8. Creating a Virtual Environment for the Project

Before proceeding further, create a virtual environment for your project. This will ensure that all the necessary dependencies are isolated and do not conflict with your system's libraries. Activate the virtual environment and proceed with the installation of the required libraries.

9. Installing the Google Client Library for Python

To install the Google Client library for Python, use the command pip install google-cloud-vision or pip3 install google-cloud-vision depending on your Python version. This library provides a Python API for accessing the Google Vision API services.

With the Google Client library for Python installed, we can now start writing code to Interact with the Vision API services. In the next video, we will explore how to use Google's Vision API to extract text from an image.


Highlights

  • Learn how to create a Google Cloud service account
  • Download the token file for authentication
  • Construct the vision client instance
  • Enable the Vision API service
  • Create service accounts for different API services

FAQ

Q: Can I use the same token file for all the machine learning and AI API services? A: Yes, the same token file can be used to access all Google's machine learning and AI API services.

Q: How do I enable the Vision API service? A: In the Google Cloud Console, go to the API & Services section, click on "Library," search for the Vision API, and enable the Cloud Vision API service.

Q: What roles should I assign to the service account? A: The roles you assign to the service account depend on the level of access and permissions you want to grant. Choose the roles wisely based on your project requirements.

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