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samples: feat: face and person detection samples (#2066)
Co-authored-by: Les Vogel <[email protected]>
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‎samples/snippets/src/main/java/com/example/video/DetectFaces.java

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/*
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* Copyright 2020 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.example.video;
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// [START video_detect_faces_beta]
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import com.google.api.gax.longrunning.OperationFuture;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoProgress;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse;
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import com.google.cloud.videointelligence.v1p3beta1.DetectedAttribute;
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import com.google.cloud.videointelligence.v1p3beta1.FaceDetectionAnnotation;
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import com.google.cloud.videointelligence.v1p3beta1.FaceDetectionConfig;
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import com.google.cloud.videointelligence.v1p3beta1.Feature;
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import com.google.cloud.videointelligence.v1p3beta1.TimestampedObject;
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import com.google.cloud.videointelligence.v1p3beta1.Track;
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import com.google.cloud.videointelligence.v1p3beta1.VideoAnnotationResults;
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import com.google.cloud.videointelligence.v1p3beta1.VideoContext;
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import com.google.cloud.videointelligence.v1p3beta1.VideoIntelligenceServiceClient;
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import com.google.cloud.videointelligence.v1p3beta1.VideoSegment;
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import com.google.protobuf.ByteString;
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import java.io.IOException;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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import java.util.concurrent.ExecutionException;
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public class DetectFaces {
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public static void detectFaces() throws Exception {
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// TODO(developer): Replace these variables before running the sample.
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String localFilePath = "resources/googlework_short.mp4";
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detectFaces(localFilePath);
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}
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// Detects faces in a video stored in a local file using the Cloud Video Intelligence API.
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public static void detectFaces(String localFilePath) throws Exception {
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try (VideoIntelligenceServiceClient videoIntelligenceServiceClient =
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VideoIntelligenceServiceClient.create()) {
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// Reads a local video file and converts it to base64.
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Path path = Paths.get(localFilePath);
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byte[] data = Files.readAllBytes(path);
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ByteString inputContent = ByteString.copyFrom(data);
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FaceDetectionConfig faceDetectionConfig =
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FaceDetectionConfig.newBuilder()
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// Must set includeBoundingBoxes to true to get facial attributes.
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.setIncludeBoundingBoxes(true)
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.setIncludeAttributes(true)
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.build();
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VideoContext videoContext =
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VideoContext.newBuilder().setFaceDetectionConfig(faceDetectionConfig).build();
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AnnotateVideoRequest request =
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AnnotateVideoRequest.newBuilder()
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.setInputContent(inputContent)
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.addFeatures(Feature.FACE_DETECTION)
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.setVideoContext(videoContext)
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.build();
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// Detects faces in a video
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OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future =
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videoIntelligenceServiceClient.annotateVideoAsync(request);
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System.out.println("Waiting for operation to complete...");
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AnnotateVideoResponse response = future.get();
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// Gets annotations for video
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VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
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// Annotations for list of faces detected, tracked and recognized in video.
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for (FaceDetectionAnnotation faceDetectionAnnotation :
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annotationResult.getFaceDetectionAnnotationsList()) {
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System.out.print("Face detected:\n");
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for (Track track : faceDetectionAnnotation.getTracksList()) {
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VideoSegment segment = track.getSegment();
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System.out.printf(
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"\tStart: %d.%.0fs\n",
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segment.getStartTimeOffset().getSeconds(),
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segment.getStartTimeOffset().getNanos() / 1e6);
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System.out.printf(
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"\tEnd: %d.%.0fs\n",
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segment.getEndTimeOffset().getSeconds(),
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segment.getEndTimeOffset().getNanos() / 1e6);
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// Each segment includes timestamped objects that
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// include characteristics of the face detected.
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TimestampedObject firstTimestampedObject = track.getTimestampedObjects(0);
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for (DetectedAttribute attribute : firstTimestampedObject.getAttributesList()) {
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// Attributes include unique pieces of clothing, like glasses, poses, or hair color.
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System.out.printf("\tAttribute: %s;\n", attribute.getName());
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}
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}
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}
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}
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}
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}
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// [END video_detect_faces_beta]

‎samples/snippets/src/main/java/com/example/video/DetectFacesGcs.java

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/*
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* Copyright 2020 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.example.video;
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// [START video_detect_faces_gcs_beta]
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import com.google.api.gax.longrunning.OperationFuture;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoProgress;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse;
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import com.google.cloud.videointelligence.v1p3beta1.DetectedAttribute;
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import com.google.cloud.videointelligence.v1p3beta1.FaceDetectionAnnotation;
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import com.google.cloud.videointelligence.v1p3beta1.FaceDetectionConfig;
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import com.google.cloud.videointelligence.v1p3beta1.Feature;
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import com.google.cloud.videointelligence.v1p3beta1.TimestampedObject;
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import com.google.cloud.videointelligence.v1p3beta1.Track;
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import com.google.cloud.videointelligence.v1p3beta1.VideoAnnotationResults;
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import com.google.cloud.videointelligence.v1p3beta1.VideoContext;
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import com.google.cloud.videointelligence.v1p3beta1.VideoIntelligenceServiceClient;
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import com.google.cloud.videointelligence.v1p3beta1.VideoSegment;
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public class DetectFacesGcs {
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public static void detectFacesGcs() throws Exception {
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// TODO(developer): Replace these variables before running the sample.
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String gcsUri = "gs://cloud-samples-data/video/googlework_short.mp4";
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detectFacesGcs(gcsUri);
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}
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// Detects faces in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.
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public static void detectFacesGcs(String gcsUri) throws Exception {
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try (VideoIntelligenceServiceClient videoIntelligenceServiceClient =
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VideoIntelligenceServiceClient.create()) {
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FaceDetectionConfig faceDetectionConfig =
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FaceDetectionConfig.newBuilder()
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// Must set includeBoundingBoxes to true to get facial attributes.
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.setIncludeBoundingBoxes(true)
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.setIncludeAttributes(true)
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.build();
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VideoContext videoContext =
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VideoContext.newBuilder().setFaceDetectionConfig(faceDetectionConfig).build();
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AnnotateVideoRequest request =
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AnnotateVideoRequest.newBuilder()
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.setInputUri(gcsUri)
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.addFeatures(Feature.FACE_DETECTION)
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.setVideoContext(videoContext)
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.build();
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// Detects faces in a video
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OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future =
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videoIntelligenceServiceClient.annotateVideoAsync(request);
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System.out.println("Waiting for operation to complete...");
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AnnotateVideoResponse response = future.get();
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// Gets annotations for video
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VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
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// Annotations for list of people detected, tracked and recognized in video.
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for (FaceDetectionAnnotation faceDetectionAnnotation :
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annotationResult.getFaceDetectionAnnotationsList()) {
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System.out.print("Face detected:\n");
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for (Track track : faceDetectionAnnotation.getTracksList()) {
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VideoSegment segment = track.getSegment();
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System.out.printf(
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"\tStart: %d.%.0fs\n",
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segment.getStartTimeOffset().getSeconds(),
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segment.getStartTimeOffset().getNanos() / 1e6);
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System.out.printf(
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"\tEnd: %d.%.0fs\n",
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segment.getEndTimeOffset().getSeconds(),
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segment.getEndTimeOffset().getNanos() / 1e6);
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// Each segment includes timestamped objects that
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// include characteristics of the face detected.
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TimestampedObject firstTimestampedObject = track.getTimestampedObjects(0);
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for (DetectedAttribute attribute : firstTimestampedObject.getAttributesList()) {
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// Attributes include unique pieces of clothing, like glasses,
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// poses, or hair color.
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System.out.printf("\tAttribute: %s;\n", attribute.getName());
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}
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}
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}
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}
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}
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}
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// [END video_detect_faces_gcs_beta]

‎samples/snippets/src/main/java/com/example/video/DetectPerson.java

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/*
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* Copyright 2020 Google LLC
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.example.video;
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// [START video_detect_person_beta]
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import com.google.api.gax.longrunning.OperationFuture;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoProgress;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoRequest;
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import com.google.cloud.videointelligence.v1p3beta1.AnnotateVideoResponse;
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import com.google.cloud.videointelligence.v1p3beta1.DetectedAttribute;
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import com.google.cloud.videointelligence.v1p3beta1.DetectedLandmark;
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import com.google.cloud.videointelligence.v1p3beta1.Feature;
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import com.google.cloud.videointelligence.v1p3beta1.PersonDetectionAnnotation;
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import com.google.cloud.videointelligence.v1p3beta1.PersonDetectionConfig;
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import com.google.cloud.videointelligence.v1p3beta1.TimestampedObject;
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import com.google.cloud.videointelligence.v1p3beta1.Track;
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import com.google.cloud.videointelligence.v1p3beta1.VideoAnnotationResults;
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import com.google.cloud.videointelligence.v1p3beta1.VideoContext;
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import com.google.cloud.videointelligence.v1p3beta1.VideoIntelligenceServiceClient;
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import com.google.cloud.videointelligence.v1p3beta1.VideoSegment;
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import com.google.protobuf.ByteString;
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import java.nio.file.Files;
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import java.nio.file.Path;
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import java.nio.file.Paths;
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public class DetectPerson {
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public static void detectPerson() throws Exception {
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// TODO(developer): Replace these variables before running the sample.
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String localFilePath = "resources/googlework_short.mp4";
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detectPerson(localFilePath);
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}
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// Detects people in a video stored in a local file using the Cloud Video Intelligence API.
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public static void detectPerson(String localFilePath) throws Exception {
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try (VideoIntelligenceServiceClient videoIntelligenceServiceClient =
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VideoIntelligenceServiceClient.create()) {
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// Reads a local video file and converts it to base64.
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Path path = Paths.get(localFilePath);
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byte[] data = Files.readAllBytes(path);
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ByteString inputContent = ByteString.copyFrom(data);
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PersonDetectionConfig personDetectionConfig =
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PersonDetectionConfig.newBuilder()
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// Must set includeBoundingBoxes to true to get poses and attributes.
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.setIncludeBoundingBoxes(true)
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.setIncludePoseLandmarks(true)
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.setIncludeAttributes(true)
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.build();
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VideoContext videoContext =
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VideoContext.newBuilder().setPersonDetectionConfig(personDetectionConfig).build();
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AnnotateVideoRequest request =
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AnnotateVideoRequest.newBuilder()
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.setInputContent(inputContent)
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.addFeatures(Feature.PERSON_DETECTION)
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.setVideoContext(videoContext)
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.build();
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// Detects people in a video
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// We get the first result because only one video is processed.
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OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future =
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videoIntelligenceServiceClient.annotateVideoAsync(request);
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System.out.println("Waiting for operation to complete...");
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AnnotateVideoResponse response = future.get();
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// Gets annotations for video
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VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
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// Annotations for list of people detected, tracked and recognized in video.
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for (PersonDetectionAnnotation personDetectionAnnotation :
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annotationResult.getPersonDetectionAnnotationsList()) {
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System.out.print("Person detected:\n");
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for (Track track : personDetectionAnnotation.getTracksList()) {
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VideoSegment segment = track.getSegment();
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System.out.printf(
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"\tStart: %d.%.0fs\n",
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segment.getStartTimeOffset().getSeconds(),
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segment.getStartTimeOffset().getNanos() / 1e6);
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System.out.printf(
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"\tEnd: %d.%.0fs\n",
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segment.getEndTimeOffset().getSeconds(),
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segment.getEndTimeOffset().getNanos() / 1e6);
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// Each segment includes timestamped objects that include characteristic--e.g. clothes,
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// posture of the person detected.
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TimestampedObject firstTimestampedObject = track.getTimestampedObjects(0);
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// Attributes include unique pieces of clothing, poses, or hair color.
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for (DetectedAttribute attribute : firstTimestampedObject.getAttributesList()) {
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System.out.printf(
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"\tAttribute: %s; Value: %s\n", attribute.getName(), attribute.getValue());
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}
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// Landmarks in person detection include body parts.
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for (DetectedLandmark attribute : firstTimestampedObject.getLandmarksList()) {
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System.out.printf(
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"\tLandmark: %s; Vertex: %f, %f\n",
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attribute.getName(), attribute.getPoint().getX(), attribute.getPoint().getY());
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}
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}
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}
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}
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}
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}
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// [END video_detect_person_beta]

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