發表更新Java8 分鐘讀完 (大約1215個字)

Google Cloud Vision API with Java

以下說明如何在 Java 中使用 Google Cloud Vision API。

  1. 前往 Google Cloud Console https://console.cloud.google.com/
  2. 建立一個專案。
  3. 輸入專案名稱。
  4. 選擇 APIs Services -> Enabled APIs & services。
  5. 選擇 ENABLED APIs AND SERVICES。
  6. 在搜尋框中輸入 vision。
  7. 找到 Cloud Vision API 點擊進入。
  8. 啟用這個 Cloud Vision API API
  9. 建立一個 Service account 。選擇 Credentials -> + CREATE CREDENTIALS -> Service account
  10. 輸入 Service account 的 name 與 ID 並選擇 CREATE AND CONTINUE
  11. 第二步，可以跳過，選擇 CONTINUE
  12. 第三步，可以跳過，選擇 DONE ，建立 Service Account
  13. 點擊剛剛建立的 Service Account
  14. 選擇 KEYS -> ADD KEY -> Create new key
  15. 選擇 JSON ，就會產生一個 JSON 檔案，供之後 Java 程式使用
  16. 建立一個 Java 專案，並引用 google-cloud-vision 依賴，
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    <dependencyManagement>
    	<dependencies>
    		<dependency>
    			<groupId>com.google.cloud</groupId>
    			<artifactId>libraries-bom</artifactId>
    			<version>26.50.0</version>
    			<type>pom</type>
    			<scope>import</scope>
    		</dependency>
    	</dependencies>
    </dependencyManagement>

    <dependencies>
    	<dependency>
    		<groupId>com.google.cloud</groupId>
    		<artifactId>google-cloud-vision</artifactId>
    	</dependency>
    </dependencies>
  17. 在程式碼中使用以下程式碼引入上面建立的 GoogleCredentials
    1
    2
    GoogleCredentials credentials = GoogleCredentials
    		.fromStream(new FileInputStream("<在步驟15產生的json檔案>"));
  18. 使用以下程式碼將 圖片文字的 Pdf 轉為 文字
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
    21
    22
    23
    24
    25
    26
    27
    28
    29
    30
    31
    32
    33
    34
    35
    36
    37
    38
    39
    40
    41
    42
    43
    44
    45
    46
    47
    48
    49
    public static void processPdf() throws IOException {

    	GoogleCredentials credentials = GoogleCredentials
    			.fromStream(new FileInputStream("<在步驟15產生的json檔案>"));

    	ImageAnnotatorSettings imageAnnotatorSettings = ImageAnnotatorSettings.newBuilder()
    			.setCredentialsProvider(FixedCredentialsProvider.create(credentials)).build();

    	try (ImageAnnotatorClient vision = ImageAnnotatorClient.create(imageAnnotatorSettings)) {

    		String fileName = "./image-based-pdf-sample.pdf";
    		Path path = Paths.get(fileName);
    		byte[] data = Files.readAllBytes(path);
    		ByteString pdfBytes = ByteString.copyFrom(data);

    		InputConfig inputConfig = InputConfig.newBuilder().setMimeType("application/pdf") // Supported MimeTypes:
    																							// "application/pdf",
    																							// "image/tiff"
    				.setContent(pdfBytes).build();

    		Feature feature = Feature.newBuilder().setType(Feature.Type.DOCUMENT_TEXT_DETECTION).build();

    		AnnotateFileRequest request = AnnotateFileRequest.newBuilder().setInputConfig(inputConfig)
    				.addFeatures(feature).build();
    		List<AnnotateFileRequest> requests = new ArrayList<>();
    		requests.add(request);

    		BatchAnnotateFilesResponse response = vision.batchAnnotateFiles(requests);
    		List<AnnotateFileResponse> responses = response.getResponsesList();

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

    			int pageSize = res.getTotalPages();

    			System.out.println("pageSize = " + pageSize);

    			for (int i = 0; i < pageSize; i++) {
    				AnnotateImageResponse annotateImageResponse = res.getResponses(i);

    				System.out.format("%nText: %s%n", annotateImageResponse.getFullTextAnnotation().getText());
    			}
    		}

    	}
    }
  19. 使用以下程式碼，可以辨認圖片
    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    14
    15
    16
    17
    18
    19
    20
    21
    22
    23
    24
    25
    26
    27
    28
    29
    30
    31
    32
    33
    34
    35
    36
    37
    public static void image() throws IOException {

    	GoogleCredentials credentials = GoogleCredentials
    			.fromStream(new FileInputStream("<在步驟15產生的json檔案>"));

    	ImageAnnotatorSettings imageAnnotatorSettings = ImageAnnotatorSettings.newBuilder()
    			.setCredentialsProvider(FixedCredentialsProvider.create(credentials)).build();

    	try (ImageAnnotatorClient vision = ImageAnnotatorClient.create(imageAnnotatorSettings)) {

    		String fileName = "./test.jpg";

    		Path path = Paths.get(fileName);
    		byte[] data = Files.readAllBytes(path);
    		ByteString imgBytes = ByteString.copyFrom(data);
    		
    		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);

    		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()));
    			}
    		}
    	}
    }

整個 Java 程式碼

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
package ultrasigncorp.vision;

import java.io.FileInputStream;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

import com.google.cloud.vision.v1.AnnotateImageRequest;
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.api.gax.core.FixedCredentialsProvider;
import com.google.api.gax.longrunning.OperationFuture;
import com.google.auth.oauth2.GoogleCredentials;
import com.google.cloud.storage.Blob;
import com.google.cloud.storage.Bucket;
import com.google.cloud.storage.Storage;
import com.google.cloud.storage.Storage.BlobListOption;
import com.google.cloud.storage.StorageOptions;
import com.google.cloud.vision.v1.*;
import com.google.protobuf.ByteString;
import com.google.protobuf.util.JsonFormat;
import com.google.cloud.vision.v1.AnnotateFileResponse.Builder;

public class Main {
	public static void main(String... args) throws Exception {
		image();
		processPdf();
	}

	public static void image() throws IOException {
		GoogleCredentials credentials = GoogleCredentials
				.fromStream(new FileInputStream("./test.json"));
		ImageAnnotatorSettings imageAnnotatorSettings = ImageAnnotatorSettings.newBuilder()
				.setCredentialsProvider(FixedCredentialsProvider.create(credentials)).build();
		try (ImageAnnotatorClient vision = ImageAnnotatorClient.create(imageAnnotatorSettings)) {
			String fileName = "./test.jpg";
			Path path = Paths.get(fileName);
			byte[] data = Files.readAllBytes(path);
			ByteString imgBytes = ByteString.copyFrom(data);
			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);
			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()));
				}
			}
		}
	}

	public static void processPdf() throws IOException {

		GoogleCredentials credentials = GoogleCredentials
				.fromStream(new FileInputStream("./test.json"));

		ImageAnnotatorSettings imageAnnotatorSettings = ImageAnnotatorSettings.newBuilder()
				.setCredentialsProvider(FixedCredentialsProvider.create(credentials)).build();

		try (ImageAnnotatorClient vision = ImageAnnotatorClient.create(imageAnnotatorSettings)) {

			String fileName = "./image-based-pdf-sample.pdf";
			Path path = Paths.get(fileName);
			byte[] data = Files.readAllBytes(path);
			ByteString pdfBytes = ByteString.copyFrom(data);

			InputConfig inputConfig = InputConfig.newBuilder().setMimeType("application/pdf") 
					.setContent(pdfBytes).build();

			Feature feature = Feature.newBuilder().setType(Feature.Type.DOCUMENT_TEXT_DETECTION).build();

			AnnotateFileRequest request = AnnotateFileRequest.newBuilder().setInputConfig(inputConfig)
					.addFeatures(feature).build();
			List<AnnotateFileRequest> requests = new ArrayList<>();
			requests.add(request);

			BatchAnnotateFilesResponse response = vision.batchAnnotateFiles(requests);
			List<AnnotateFileResponse> responses = response.getResponsesList();

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

				int pageSize = res.getTotalPages();

				System.out.println("pageSize = " + pageSize);

				for (int i = 0; i < pageSize; i++) {
					AnnotateImageResponse annotateImageResponse = res.getResponses(i);

					System.out.format("%nText: %s%n", annotateImageResponse.getFullTextAnnotation().getText());
				}
			}

		}
	}
}

Reference:

#

評論

分類

最新文章

彙整

標籤

AI1
C#1
Chrome1
DB1
Eclipse2
Event1
Flex1
Google API1
Google Search Console1
Hexo2
Input System6
JSON Formatter1
JSON Pretty1
Joint 2D1
Mac1
ParticleSystem13
SQL語法1
ScriptableObject7
Shader Graph7
UGUI6
UI Builder1
UI Toolkit18
Unit Test1
Unity Tips1
Unity package1
Unity架構1
delegate1
html1
sitemap1
taiwan_id1
數學相關1
時間7
物理相關5

廣告

×