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Cloud Run Image Processing with goLang and Cloud Vision API - Emre Cavunt

Cloud Run Image Processing with goLang and Cloud Vision API

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3 min read

Introduction

Image processing is a crucial task in many industries, such as healthcare, retail, and manufacturing. It allows for the analysis and manipulation of images for various purposes, such as identifying objects or detecting abnormalities. However, traditional image processing methods can be resource-intensive and costly, especially when handling large volumes of data.

Enter Google Cloud Run and Cloud Vision API. These cloud-based solutions offer a scalable and cost-effective way to perform image processing tasks. In this tutorial, we will show you how to use Cloud Run and Cloud Vision API to process images in a simple and efficient manner. By the end of this tutorial, you will be able to take advantage of the power of the cloud to scale your image processing needs.

Setting up Cloud Run and Cloud Vision API

Before we dive into the tutorial, let's make sure you have the necessary tools and resources set up.

First, you will need a Google Cloud account. If you don't have one already, you can sign up for a free trial at https://cloud.google.com/.

Next, you will need to enable Cloud Run and Cloud Vision API in your Google Cloud project. To do this, follow these steps:

  • Go to the Cloud Console (https://console.cloud.google.com/).
  • Click the "Activate Cloud Shell" button in the top right corner of the console.
  • In the Cloud Shell, enter the following command to enable Cloud Run: gcloud services enable run.googleapis.com
  • Enter the following command to enable Cloud Vision API: gcloud services enable vision.googleapis.com

Now that Cloud Run and Cloud Vision API are enabled, you will need to install the necessary dependencies for your project. Make sure you have the following tools installed on your machine:

With the dependencies set up, you are now ready to start building your Cloud Run image processing service. In the next section, we will walk you through the steps to create a Go program that uses Cloud Vision API to analyze images.

package main
 
import (
	"context"
	"fmt"
	"log"
 
	vision "cloud.google.com/go/vision/apiv1"
	visionpb "google.golang.
package main
 
import (
	"context"
	"fmt"
	"log"
 
	vision "cloud.google.com/go/vision/apiv1"
	visionpb "google.golang.

There are some rules to follow when we name variables.

ExampleDescriptionRules
$valueLowercase
$ValueUppercase
$_valueUnderscore
$1valueStart from number

There is a difference between uppercase and lowercase in variable names. Uppercase variables are not equal to lowercase variables.

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