Running the app for face detection

Run the app that draws boxes around detected faces in an image.

Explore further

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

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. 

/** Annotates an image using the Vision API. */
public static void main(String[] args) throws IOException, GeneralSecurityException {
  if (args.length != 2) {
    System.err.println("Usage:");
    System.err.printf(
        "\tjava %s inputImagePath outputImagePath\n", FaceDetectApp.class.getCanonicalName());
    System.exit(1);
  }
  Path inputPath = Paths.get(args[0]);
  Path outputPath = Paths.get(args[1]);
  if (!outputPath.toString().toLowerCase().endsWith(".jpg")) {
    System.err.println("outputImagePath must have the file extension 'jpg'.");
    System.exit(1);
  }

  FaceDetectApp app = new FaceDetectApp(getVisionService());
  List<FaceAnnotation> faces = app.detectFaces(inputPath, MAX_RESULTS);
  System.out.printf("Found %d face%s\n", faces.size(), faces.size() == 1 ? "" : "s");
  System.out.printf("Writing to file %s\n", outputPath);
  app.writeWithFaces(inputPath, outputPath, faces);
}

Node.js

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 Node.js 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. 

async function main(inputFile, outputFile) {
  const PImage = require('pureimage');
  outputFile = outputFile || 'out.png';
  const faces = await detectFaces(inputFile);
  console.log('Highlighting...');
  await highlightFaces(inputFile, faces, outputFile, PImage);
  console.log('Finished!');
}

PHP

To learn how to install and use the client library for Vision API Product Search, see Vision API Product Search client libraries.

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

call_user_func($imageWriteFunc[$ext], $outputImage, $outFile);
printf('Output image written to %s' . PHP_EOL, $outFile);

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 main(input_filename, output_filename, max_results):
    with open(input_filename, "rb") as image:
        faces = detect_face(image, max_results)
        print("Found {} face{}".format(len(faces), "" if len(faces) == 1 else "s"))

        print(f"Writing to file {output_filename}")
        # Reset the file pointer, so we can read the file again
        image.seek(0)
        highlight_faces(image, faces, output_filename)

What's next

To search and filter code samples for other Google Cloud products, see the Google Cloud sample browser.