Detect multiple objects in a local file (beta)

Perform object detection for multiple objects in an image using on a local file (for beta launch).

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For detailed documentation that includes this code sample, see the following:

• Detect multiple objects in a local file (beta)

Code sample

Java

To learn how to install and use the client library for Vision API Product Search, see Vision API Product Search client libraries. For more information, see the Vision API Product Search Java API reference documentation.

To authenticate to Vision API Product Search, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

/**
 * Detects localized objects in the specified local image.
 *
 * @param filePath The path to the file to perform localized object detection on.
 * @param out A {@link PrintStream} to write detected objects to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectLocalizedObjects(String filePath, PrintStream out)
    throws Exception, IOException {
  List<AnnotateImageRequest> requests = new ArrayList<>();

  ByteString imgBytes = ByteString.readFrom(new FileInputStream(filePath));

  Image img = Image.newBuilder().setContent(imgBytes).build();
  AnnotateImageRequest request =
      AnnotateImageRequest.newBuilder()
          .addFeatures(Feature.newBuilder().setType(Type.OBJECT_LOCALIZATION))
          .setImage(img)
          .build();
  requests.add(request);

  // Perform the request
  try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
    BatchAnnotateImagesResponse response = client.batchAnnotateImages(requests);
    List<AnnotateImageResponse> responses = response.getResponsesList();

    // Display the results
    for (AnnotateImageResponse res : responses) {
      for (LocalizedObjectAnnotation entity : res.getLocalizedObjectAnnotationsList()) {
        out.format("Object name: %s\n", entity.getName());
        out.format("Confidence: %s\n", entity.getScore());
        out.format("Normalized Vertices:\n");
        entity
            .getBoundingPoly()
            .getNormalizedVerticesList()
            .forEach(vertex -> out.format("- (%s, %s)\n", vertex.getX(), vertex.getY()));
      }
    }
  }
}

Python

To learn how to install and use the client library for Vision API Product Search, see Vision API Product Search client libraries. For more information, see the Vision API Product Search Python API reference documentation.

To authenticate to Vision API Product Search, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

def localize_objects(path):
    """Localize objects in the local image.

    Args:
    path: The path to the local file.
    """
    from google.cloud import vision_v1p3beta1 as vision

    client = vision.ImageAnnotatorClient()

    with open(path, "rb") as image_file:
        content = image_file.read()
    image = vision.Image(content=content)

    objects = client.object_localization(image=image).localized_object_annotations

    print(f"Number of objects found: {len(objects)}")
    for object_ in objects:
        print(f"\n{object_.name} (confidence: {object_.score})")
        print("Normalized bounding polygon vertices: ")
        for vertex in object_.bounding_poly.normalized_vertices:
            print(f" - ({vertex.x}, {vertex.y})")

What's next

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