使用用戶端程式庫偵測圖片中的標籤

本頁說明如何以您慣用的程式語言開始使用 Vision API。

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逐步引導

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事前準備

Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
Install the Google Cloud CLI.
If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.
To initialize the gcloud CLI, run the following command:
gcloud init
Create or select a Google Cloud project.
Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.
• Create a Google Cloud project:

  gcloud projects create PROJECT_ID

  Replace PROJECT_ID with a name for the Google Cloud project you are creating.

• Select the Google Cloud project that you created:

  gcloud config set project PROJECT_ID

  Replace PROJECT_ID with your Google Cloud project name.
Make sure that billing is enabled for your Google Cloud project.
Enable the Vision API:
gcloud services enable vision.googleapis.com
Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/storage.objectViewer
gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE
• Replace PROJECT_ID with your project ID.

• Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

• Replace ROLE with each individual role.

Install the Google Cloud CLI.

If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.

To initialize the gcloud CLI, run the following command:

gcloud init

Create or select a Google Cloud project.

Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

• Create a Google Cloud project:

  gcloud projects create PROJECT_ID

  Replace PROJECT_ID with a name for the Google Cloud project you are creating.

• Select the Google Cloud project that you created:

  gcloud config set project PROJECT_ID

  Replace PROJECT_ID with your Google Cloud project name.

Make sure that billing is enabled for your Google Cloud project.

Enable the Vision API:

gcloud services enable vision.googleapis.com

Grant roles to your user account. Run the following command once for each of the following IAM roles: roles/storage.objectViewer

gcloud projects add-iam-policy-binding PROJECT_ID --member="user:USER_IDENTIFIER" --role=ROLE

• Replace PROJECT_ID with your project ID.

• Replace USER_IDENTIFIER with the identifier for your user account. For example, user:[e-mail].

• Replace ROLE with each individual role.

安裝用戶端程式庫

Go

go get cloud.google.com/go/vision/apiv1

Java

如要進一步瞭解如何設定 Java 開發環境，請參閱 Java 開發環境設定指南。

Note: If your application uses the Spring Framework, a Spring module is also available.

If you are using Maven, add the following to your pom.xml file. For more information about BOMs, see The Google Cloud Platform Libraries BOM.

<dependencyManagement>
  <dependencies>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>libraries-bom</artifactId>
      <version>26.61.0</version>
      <type>pom</type>
      <scope>import</scope>
    </dependency>
  </dependencies>
</dependencyManagement>

<dependencies>
  <dependency>
    <groupId>com.google.cloud</groupId>
    <artifactId>google-cloud-vision</artifactId>
  </dependency>
</dependencies>

If you are using Gradle, add the following to your dependencies:

implementation 'com.google.cloud:google-cloud-vision:3.65.0'

If you are using sbt, add the following to your dependencies:

libraryDependencies += "com.google.cloud" % "google-cloud-vision" % "3.65.0"

If you're using Visual Studio Code, IntelliJ, or Eclipse, you can add client libraries to your project using the following IDE plugins:

• Cloud Code for VS Code
• Cloud Code for IntelliJ
• Cloud Tools for Eclipse

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.

Note: Cloud Java client libraries do not currently support Android.

Node.js

如要進一步瞭解如何設定 Node.js 開發環境，請參閱 Node.js 開發環境設定指南。

npm install @google-cloud/vision

Python

如要進一步瞭解如何設定 Python 開發環境，請參閱 Python 開發環境設定指南。

pip install --upgrade google-cloud-vision

標籤偵測範例

現在您可以使用 Vision API 要求取得圖片的資訊，例如標籤偵測。執行下列程式碼，即可進行您的第一個圖片標籤偵測要求。

Go

在試用這個範例之前，請先按照Go「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Go API 參考說明文件。

如要向 Vision 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

// Sample vision-quickstart uses the Google Cloud Vision API to label an image.
package main

import (
	"context"
	"fmt"
	"log"
	"os"

	vision "cloud.google.com/go/vision/apiv1"
)

func main() {
	ctx := context.Background()

	// Creates a client.
	client, err := vision.NewImageAnnotatorClient(ctx)
	if err != nil {
		log.Fatalf("Failed to create client: %v", err)
	}
	defer client.Close()

	// Sets the name of the image file to annotate.
	filename := "../testdata/cat.jpg"

	file, err := os.Open(filename)
	if err != nil {
		log.Fatalf("Failed to read file: %v", err)
	}
	defer file.Close()
	image, err := vision.NewImageFromReader(file)
	if err != nil {
		log.Fatalf("Failed to create image: %v", err)
	}

	labels, err := client.DetectLabels(ctx, image, nil, 10)
	if err != nil {
		log.Fatalf("Failed to detect labels: %v", err)
	}

	fmt.Println("Labels:")
	for _, label := range labels {
		fmt.Println(label.Description)
	}
}

Java

在試用這個範例之前，請先按照Java「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Java API 參考說明文件。

如要向 Vision 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

// Imports the Google Cloud client library

import com.google.cloud.vision.v1.AnnotateImageRequest;
import com.google.cloud.vision.v1.AnnotateImageResponse;
import com.google.cloud.vision.v1.BatchAnnotateImagesResponse;
import com.google.cloud.vision.v1.EntityAnnotation;
import com.google.cloud.vision.v1.Feature;
import com.google.cloud.vision.v1.Feature.Type;
import com.google.cloud.vision.v1.Image;
import com.google.cloud.vision.v1.ImageAnnotatorClient;
import com.google.protobuf.ByteString;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;

public class QuickstartSample {
  public static void main(String... args) throws Exception {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (ImageAnnotatorClient vision = ImageAnnotatorClient.create()) {

      // The path to the image file to annotate
      String fileName = "./resources/wakeupcat.jpg";

      // Reads the image file into memory
      Path path = Paths.get(fileName);
      byte[] data = Files.readAllBytes(path);
      ByteString imgBytes = ByteString.copyFrom(data);

      // Builds the image annotation request
      List<AnnotateImageRequest> requests = new ArrayList<>();
      Image img = Image.newBuilder().setContent(imgBytes).build();
      Feature feat = Feature.newBuilder().setType(Type.LABEL_DETECTION).build();
      AnnotateImageRequest request =
          AnnotateImageRequest.newBuilder().addFeatures(feat).setImage(img).build();
      requests.add(request);

      // Performs label detection on the image file
      BatchAnnotateImagesResponse response = vision.batchAnnotateImages(requests);
      List<AnnotateImageResponse> responses = response.getResponsesList();

      for (AnnotateImageResponse res : responses) {
        if (res.hasError()) {
          System.out.format("Error: %s%n", res.getError().getMessage());
          return;
        }

        for (EntityAnnotation annotation : res.getLabelAnnotationsList()) {
          annotation
              .getAllFields()
              .forEach((k, v) -> System.out.format("%s : %s%n", k, v.toString()));
        }
      }
    }
  }
}

Node.js

在試用這個範例之前，請先按照Node.js「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Node.js API 參考說明文件。

如要向 Vision 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

async function quickstart() {
  // Imports the Google Cloud client library
  const vision = require('@google-cloud/vision');

  // Creates a client
  const client = new vision.ImageAnnotatorClient();

  // Performs label detection on the image file
  const [result] = await client.labelDetection('./resources/wakeupcat.jpg');
  const labels = result.labelAnnotations;
  console.log('Labels:');
  labels.forEach(label => console.log(label.description));
}
quickstart();

Python

在試用這個範例之前，請先按照Python「使用用戶端程式庫的 Vision 快速入門導覽課程」中的設定說明操作。詳情請參閱 Vision Python API 參考說明文件。

如要向 Vision 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

# Imports the Google Cloud client library
from google.cloud import vision



def run_quickstart() -> vision.EntityAnnotation:
    """Provides a quick start example for Cloud Vision."""

    # Instantiates a client
    client = vision.ImageAnnotatorClient()

    # The URI of the image file to annotate
    file_uri = "gs://cloud-samples-data/vision/label/wakeupcat.jpg"

    image = vision.Image()
    image.source.image_uri = file_uri

    # Performs label detection on the image file
    response = client.label_detection(image=image)
    labels = response.label_annotations

    print("Labels:")
    for label in labels:
        print(label.description)

    return labels

執行範例

如要執行先前的範例，請使用下列指令。如果您複製了特定範例語言的 GitHub 存放區，請取消註解第一行：

Go

# cd golang-samples/vision/vision_quickstart/
go run .

Java

# cd java-docs-samples/vision/snippets/src/main/java/com/example/vision/quickstart/
javac QuickstartSample.java
java QuickstartSample.java

Node.js

# cd nodejs-docs-samples/vision/
node quickstart.js

Python

# cd python-docs-samples/vision/snippets/quickstart
python -c 'import quickstart; quickstart.run_quickstart()'

恭喜！您已將第一個要求傳送至 Vision。

還順利嗎？

可以正常運作！

太好了！ 您對這個快速入門導覽課程有什麼看法？我們有哪些地方需要改善？ 歡迎提供您的意見！

我遇到問題了。

我們對此深感遺憾。 請說明您遇到的問題，我們會予以修正。

清除所用資源

如要避免系統向您的 Google 帳戶收取本快速入門導覽課程所用資源的費用：

• 使用 Google Cloud console 刪除您不需要的專案。

後續步驟

進一步瞭解 Vision API 用戶端程式庫。