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2 changes: 1 addition & 1 deletion video/beta/pom.xml
Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-video-intelligence</artifactId>
<version>0.101.0-beta</version>
<version>0.106.0-beta</version>
</dependency>
<dependency>
<groupId>com.google.cloud</groupId>
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Original file line number Diff line number Diff line change
@@ -0,0 +1,117 @@
/*
* Copyright 2019 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package com.example.video;

// [START video_streaming_automl_classification_beta]
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you really want beta in the tag name?

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Yea, we started adding it when we had overlap with sample tracker and product teams still wanted to keep beta pages live.

import com.google.api.gax.rpc.BidiStream;
import com.google.cloud.videointelligence.v1p3beta1.LabelAnnotation;
import com.google.cloud.videointelligence.v1p3beta1.LabelFrame;
import com.google.cloud.videointelligence.v1p3beta1.StreamingAnnotateVideoRequest;
import com.google.cloud.videointelligence.v1p3beta1.StreamingAnnotateVideoResponse;
import com.google.cloud.videointelligence.v1p3beta1.StreamingAutomlClassificationConfig;
import com.google.cloud.videointelligence.v1p3beta1.StreamingFeature;
import com.google.cloud.videointelligence.v1p3beta1.StreamingVideoAnnotationResults;
import com.google.cloud.videointelligence.v1p3beta1.StreamingVideoConfig;
import com.google.cloud.videointelligence.v1p3beta1.StreamingVideoIntelligenceServiceClient;
import com.google.protobuf.ByteString;

import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.Arrays;

class StreamingAutoMlClassification {

// Perform streaming video classification with an AutoML Model
static void streamingAutoMlClassification(String filePath, String projectId, String modelId) {
// String filePath = "path_to_your_video_file";
// String projectId = "YOUR_GCP_PROJECT_ID";
// String modelId = "YOUR_AUTO_ML_CLASSIFICATION_MODEL_ID";

try (StreamingVideoIntelligenceServiceClient client =
StreamingVideoIntelligenceServiceClient.create()) {

Path path = Paths.get(filePath);
byte[] data = Files.readAllBytes(path);
// Set the chunk size to 5MB (recommended less than 10MB).
int chunkSize = 5 * 1024 * 1024;
int numChunks = (int) Math.ceil((double) data.length / chunkSize);

String modelPath = String.format("projects/%s/locations/us-central1/models/%s",
projectId,
modelId);

System.out.println(modelPath);

StreamingAutomlClassificationConfig streamingAutomlClassificationConfig =
StreamingAutomlClassificationConfig.newBuilder()
.setModelName(modelPath)
.build();

StreamingVideoConfig streamingVideoConfig = StreamingVideoConfig.newBuilder()
.setFeature(StreamingFeature.STREAMING_AUTOML_CLASSIFICATION)
.setAutomlClassificationConfig(streamingAutomlClassificationConfig)
.build();

BidiStream<StreamingAnnotateVideoRequest, StreamingAnnotateVideoResponse> call =
client.streamingAnnotateVideoCallable().call();

// The first request must **only** contain the audio configuration:
call.send(
StreamingAnnotateVideoRequest.newBuilder()
.setVideoConfig(streamingVideoConfig)
.build());

// Subsequent requests must **only** contain the audio data.
// Send the requests in chunks
for (int i = 0; i < numChunks; i++) {
call.send(
StreamingAnnotateVideoRequest.newBuilder()
.setInputContent(ByteString.copyFrom(
Arrays.copyOfRange(data, i * chunkSize, i * chunkSize + chunkSize)))
.build());
}

// Tell the service you are done sending data
call.closeSend();

for (StreamingAnnotateVideoResponse response : call) {
if (response.hasError()) {
System.out.println(response.getError().getMessage());
break;
}

StreamingVideoAnnotationResults annotationResults = response.getAnnotationResults();

for (LabelAnnotation annotation : annotationResults.getLabelAnnotationsList()) {
String entity = annotation.getEntity().getDescription();

// There is only one frame per annotation
LabelFrame labelFrame = annotation.getFrames(0);
double offset = labelFrame.getTimeOffset().getSeconds()
+ labelFrame.getTimeOffset().getNanos() / 1e9;
float confidence = labelFrame.getConfidence();

System.out.format("%fs: %s (%f)\n", offset, entity, confidence);
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
// [END video_streaming_automl_classification_beta]
4 changes: 2 additions & 2 deletions video/beta/src/main/java/com/example/video/TextDetection.java
Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@ public static VideoAnnotationResults detectText(String filePath) throws Exceptio

System.out.println("Waiting for operation to complete...");
// The first result is retrieved because a single video was processed.
AnnotateVideoResponse response = future.get(300, TimeUnit.SECONDS);
AnnotateVideoResponse response = future.get(600, TimeUnit.SECONDS);
VideoAnnotationResults results = response.getAnnotationResults(0);

// Get only the first annotation for demo purposes.
Expand Down Expand Up @@ -123,7 +123,7 @@ public static VideoAnnotationResults detectTextGcs(String gcsUri) throws Excepti

System.out.println("Waiting for operation to complete...");
// The first result is retrieved because a single video was processed.
AnnotateVideoResponse response = future.get(300, TimeUnit.SECONDS);
AnnotateVideoResponse response = future.get(600, TimeUnit.SECONDS);
VideoAnnotationResults results = response.getAnnotationResults(0);

// Get only the first annotation for demo purposes.
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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@ public static VideoAnnotationResults trackObjects(String filePath) throws Except

System.out.println("Waiting for operation to complete...");
// The first result is retrieved because a single video was processed.
AnnotateVideoResponse response = future.get(300, TimeUnit.SECONDS);
AnnotateVideoResponse response = future.get(600, TimeUnit.SECONDS);
VideoAnnotationResults results = response.getAnnotationResults(0);

// Get only the first annotation for demo purposes.
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Original file line number Diff line number Diff line change
@@ -0,0 +1,67 @@
/*
* Copyright 2019 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/


package com.example.video;

import static com.google.common.truth.Truth.assertThat;

import java.io.ByteArrayOutputStream;
import java.io.PrintStream;

import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;


/**
* Integration (system) tests for {@link StreamingAutoMlClassification}.
*/
@RunWith(JUnit4.class)
@SuppressWarnings("checkstyle:abbreviationaswordinname")
public class StreamingAutoMlClassificationIT {

private static String PROJECT_ID = "779844219229"; // System.getenv().get("GOOGLE_CLOUD_PROJECT");
private static String MODEL_ID = "VCN6455760532254228480";

private ByteArrayOutputStream bout;
private PrintStream out;

@Before
public void setUp() {
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
System.setOut(out);
}

@After
public void tearDown() {
System.setOut(null);
}

@Test
public void testStreamingAutoMlClassification() {
StreamingAutoMlClassification.streamingAutoMlClassification(
"resources/cat.mp4",
PROJECT_ID,
MODEL_ID);
String got = bout.toString();

assertThat(got).contains("brush_hair");
}
}