Lokale Dateien im Batch mit Annotationen versehen (Beta)

Versehen Sie einen Batch lokaler Dateien mit Anmerkungen, während Sie online sind.

Codebeispiel

Java

Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Java-Einrichtungsanleitung in der Vision-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Referenzdokumentation zur Vision Java API.

Richten Sie zur Authentifizierung bei Vision die Standardanmeldedaten für Anwendungen ein. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

import com.google.api.core.ApiFuture;
import com.google.cloud.vision.v1p4beta1.AnnotateFileRequest;
import com.google.cloud.vision.v1p4beta1.AnnotateFileResponse;
import com.google.cloud.vision.v1p4beta1.BatchAnnotateFilesRequest;
import com.google.cloud.vision.v1p4beta1.BatchAnnotateFilesResponse;
import com.google.cloud.vision.v1p4beta1.Block;
import com.google.cloud.vision.v1p4beta1.Feature;
import com.google.cloud.vision.v1p4beta1.Feature.Type;
import com.google.cloud.vision.v1p4beta1.ImageAnnotatorClient;
import com.google.cloud.vision.v1p4beta1.InputConfig;
import com.google.cloud.vision.v1p4beta1.Page;
import com.google.cloud.vision.v1p4beta1.Paragraph;
import com.google.cloud.vision.v1p4beta1.Symbol;
import com.google.cloud.vision.v1p4beta1.TextAnnotation;
import com.google.cloud.vision.v1p4beta1.Word;
import com.google.protobuf.ByteString;
import java.io.FileInputStream;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;

public class DetectBatchAnnotateFiles {

  // Performs document feature detection on a local PDF/TIFF/GIF file.
  public static void detectBatchAnnotateFiles(String filePath) {
    // String filePath = "path/to/your_file";

    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
      // Annotate the first two pages and the last one (max 5 pages)
      // First page starts at 1, and not 0. Last page is -1.
      List<Integer> pages = Arrays.asList(1, 2, -1);
      ByteString pdfBytes = ByteString.readFrom(new FileInputStream(filePath));
      Feature feat = Feature.newBuilder().setType(Type.DOCUMENT_TEXT_DETECTION).build();
      // Other supported mime types : 'image/tiff' or 'image/gif'
      InputConfig inputConfig =
          InputConfig.newBuilder().setMimeType("application/pdf").setContent(pdfBytes).build();
      AnnotateFileRequest request =
          AnnotateFileRequest.newBuilder()
              .addFeatures(feat)
              .setInputConfig(inputConfig)
              .addAllPages(pages)
              .build();
      List<AnnotateFileRequest> requests = new ArrayList<>();
      requests.add(request);

      BatchAnnotateFilesRequest batchAnnotateFilesRequest =
          BatchAnnotateFilesRequest.newBuilder().addAllRequests(requests).build();
      ApiFuture<BatchAnnotateFilesResponse> future =
          client.batchAnnotateFilesCallable().futureCall(batchAnnotateFilesRequest);
      BatchAnnotateFilesResponse response = future.get();

      // Getting the first response
      AnnotateFileResponse annotateFileResponse = response.getResponses(0);

      // For full list of available annotations, see http://g.co/cloud/vision/docs
      TextAnnotation textAnnotation = annotateFileResponse.getResponses(0).getFullTextAnnotation();
      for (Page page : textAnnotation.getPagesList()) {
        String pageText = "";
        for (Block block : page.getBlocksList()) {
          String blockText = "";
          for (Paragraph para : block.getParagraphsList()) {
            String paraText = "";
            for (Word word : para.getWordsList()) {
              String wordText = "";
              for (Symbol symbol : word.getSymbolsList()) {
                wordText = wordText + symbol.getText();
                System.out.format(
                    "Symbol text: %s (Confidence: %f)\n", symbol.getText(), symbol.getConfidence());
              }
              System.out.format(
                  "Word text: %s (Confidence: %f)\n\n", wordText, word.getConfidence());
              paraText = String.format("%s %s", paraText, wordText);
            }
            // Output Example using Paragraph:
            System.out.println("\nParagraph: \n" + paraText);
            System.out.format("Paragraph Confidence: %f\n", para.getConfidence());
            blockText = blockText + paraText;
          }
          pageText = pageText + blockText;
        }
      }
      System.out.println("\nComplete annotation:");
      System.out.println(textAnnotation.getText());

    } catch (Exception e) {
      System.out.println("Error during detectPdfText: \n" + e.toString());
    }
  }
}

Python

Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Python-Einrichtungsanleitung in der Vision-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Informationen finden Sie in der Referenzdokumentation zur Vision Python API.

Richten Sie zur Authentifizierung bei Vision die Standardanmeldedaten für Anwendungen ein. Weitere Informationen finden Sie unter Authentifizierung für eine lokale Entwicklungsumgebung einrichten.

def detect_batch_annotate_files(path):
    """Detects document features in a PDF/TIFF/GIF file.

    While your PDF file may have several pages,
    this API can process up to 5 pages only.

    Args:
    path: The path to the local file.
    """
    from google.cloud import vision_v1p4beta1 as vision

    client = vision.ImageAnnotatorClient()

    with open(path, "rb") as pdf_file:
        content = pdf_file.read()

    # Other supported mime_types: image/tiff' or 'image/gif'
    mime_type = "application/pdf"
    input_config = vision.InputConfig(content=content, mime_type=mime_type)

    feature = vision.Feature(type_=vision.Feature.Type.DOCUMENT_TEXT_DETECTION)
    # Annotate the first two pages and the last one (max 5 pages)
    # First page starts at 1, and not 0. Last page is -1.
    pages = [1, 2, -1]

    request = vision.AnnotateFileRequest(
        input_config=input_config, features=[feature], pages=pages
    )

    response = client.batch_annotate_files(requests=[request])

    for image_response in response.responses[0].responses:
        for page in image_response.full_text_annotation.pages:
            for block in page.blocks:
                print(f"\nBlock confidence: {block.confidence}\n")
                for par in block.paragraphs:
                    print(f"\tParagraph confidence: {par.confidence}")
                    for word in par.words:
                        symbol_texts = [symbol.text for symbol in word.symbols]
                        word_text = "".join(symbol_texts)
                        print(
                            "\t\tWord text: {} (confidence: {})".format(
                                word_text, word.confidence
                            )
                        )
                        for symbol in word.symbols:
                            print(
                                "\t\t\tSymbol: {} (confidence: {})".format(
                                    symbol.text, symbol.confidence
                                )
                            )

Weitere Informationen

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