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Spring Cloud GCP and Cloud Vision: A New Record Chain
Spring Cloud GCP and Cloud Vision: A New Record Chain
Introduction
In this blog post, we will explore Spring Cloud GCP’s support for Spring Boot and Cloud Vision.
Spring Cloud GCP
Spring Cloud GCP is a suite of libraries that help you build and manage applications on the Google Cloud Platform. Applications built using Spring Cloud GCP have the following characteristics:
They are resilient, with a robust design and fault tolerance features like Circuit Breaker and Hystrix;
They provide better scalability by enabling auto-scaling based on metrics collected by Prometheus;
They allow developers to focus on their business logic by taking care of things like load balancing, service discovery (using Eureka), and client-side SSL termination.
Cloud Vision
It is a service that allows you to analyze images and recognize objects, faces, and landmarks in them. Cloud Vision provides OCR, face, landmark, and image analysis capabilities.
Cloud Vision can recognize text in images and provide results in the form of a list of possible matches. The following example shows how to use the Cloud Vision API (https://cloud.google.com/vision/docs/) on GCP to perform real-time OCR on an image captured by your camera app:
Dependency Setup
To use Spring Cloud GCP, add the following dependencies to your project:
[Google Cloud Client Libraries](https://github.com/googlecloudplatform/google-cloud-client)
[Spring Cloud GCP](https://github.com/spring-projects/spring-cloud-gcp)
To use Google Cloud Vision, you’ll need to add these dependencies:
[Google Cloud Client Libraries](https://github.com/googlecloudplatform/google-cloud-client) * [Spring Cloud GCP](https://github.com/spring-projects/spring-cloud-gcp) * [Spring Framework 4.3](http://projects.springframework.org/) or above
Configuration
In this section, we will learn how to configure your application, service, controller, and template.
Application Configuration
Service Configuration
Controller Configuration
Template Configuration
Model Configuration
Cloud Vision OCR Dependencies
Use the following dependencies to enable GCP Cloud Vision OCR.
`com.google.cloud`: Version 1.4 or higher
`io.springcloud.*`: This dependency is already included in Spring Cloud GCP samples, so you don’t have to add it manually if you’re using those samples as a reference.
`org.springframework.*` (Java 8 or later): You’ll need Spring Framework if you’re generating images from text content and want the images’ metadata attached with them (for example, filename and time stamp).
Image Analysis
Image analysis is the process of detecting and extracting useful information from images. This typically involves using image processing algorithms, but can also be done manually by people. Moreover, image analysis is used in many fields, including astronomy, biology, and medicine.
File Analysis
File Analysis is an API that can detect the type of file and its properties. It can detect the type of file and its properties. Moreover, file Analysis is helpful to detect the type of file and its properties.
Document OCR Template
To create a document OCR template, you must set up a Spring Cloud GCP project and define your model in the model format of your choice. You then need to create an image file with the same name as the model filename, but with a different extension. For example, if you have a file named “document_ocr_template.xml”, it’s like saved as “document_ocr_template.png”. The image will be for training your model before use in production environments.
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To use this template for detection, firstly, you need to convert your images into byte arrays (byte[]) by calling ImageIO’s getBytes() method on it or reading from an InputStream bitmap = new FileInputStream(“.\images\\image1”). This will provide a copy of an image file’s pixels that can then be fed into other tools such as Tesseract .