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Add missing samples for classification and rename object detection sa… #1604

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Original file line number Diff line number Diff line change
@@ -0,0 +1,62 @@
/*
* 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.google.cloud.vision.samples.automl;

// [START automl_vision_classification_deploy_model]
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.automl.v1beta1.AutoMlClient;
import com.google.cloud.automl.v1beta1.DeployModelRequest;
import com.google.cloud.automl.v1beta1.ModelName;
import com.google.cloud.automl.v1beta1.OperationMetadata;
import com.google.protobuf.Empty;

import java.io.IOException;
import java.util.concurrent.ExecutionException;

class ClassificationDeployModel {

// Deploy a model
static void classificationDeployModel(String projectId, String modelId) {
// String projectId = "YOUR_PROJECT_ID";
// String modelId = "YOUR_MODEL_ID";

// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {

// Get the full path of the model.
ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);

// Build deploy model request.
DeployModelRequest deployModelRequest =
DeployModelRequest.newBuilder().setName(modelFullId.toString()).build();

// Deploy a model with the deploy model request.
OperationFuture<Empty, OperationMetadata> future =
client.deployModelAsync(deployModelRequest);

future.get();

// Display the deployment details of model.
System.out.println("Model deployment finished");
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}
// [END automl_vision_classification_deploy_model]
Original file line number Diff line number Diff line change
@@ -0,0 +1,62 @@
/*
* 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.google.cloud.vision.samples.automl;

// [START automl_vision_classification_deploy_model_node_count]
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.automl.v1beta1.AutoMlClient;
import com.google.cloud.automl.v1beta1.DeployModelRequest;
import com.google.cloud.automl.v1beta1.ImageClassificationModelDeploymentMetadata;
import com.google.cloud.automl.v1beta1.ModelName;
import com.google.cloud.automl.v1beta1.OperationMetadata;
import com.google.protobuf.Empty;

import java.io.IOException;
import java.util.concurrent.ExecutionException;

class ClassificationDeployModelNodeCount {

// Deploy a model with a specified node count
static void classificationDeployModelNodeCount(String projectId, String modelId) {
// String projectId = "YOUR_PROJECT_ID";
// String modelId = "YOUR_MODEL_ID";

// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the full path of the model.
ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);

// Set how many nodes the model is deployed on
ImageClassificationModelDeploymentMetadata deploymentMetadata =
ImageClassificationModelDeploymentMetadata.newBuilder().setNodeCount(2).build();

DeployModelRequest request = DeployModelRequest.newBuilder()
.setName(modelFullId.toString())
.setImageClassificationModelDeploymentMetadata(deploymentMetadata)
.build();
// Deploy the model
OperationFuture<Empty, OperationMetadata> future = client.deployModelAsync(request);
future.get();
System.out.println("Model deployment on 2 nodes finished");
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}
// [END automl_vision_classification_deploy_model_node_count]
Original file line number Diff line number Diff line change
@@ -0,0 +1,62 @@
/*
* 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.google.cloud.vision.samples.automl;

// [START automl_vision_classification_undeploy_model]
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.automl.v1beta1.AutoMlClient;
import com.google.cloud.automl.v1beta1.ModelName;
import com.google.cloud.automl.v1beta1.OperationMetadata;
import com.google.cloud.automl.v1beta1.UndeployModelRequest;
import com.google.protobuf.Empty;

import java.io.IOException;
import java.util.concurrent.ExecutionException;

class ClassificationUndeployModel {

// Deploy a model
static void classificationUndeployModel(String projectId, String modelId) {
// String projectId = "YOUR_PROJECT_ID";
// String modelId = "YOUR_MODEL_ID";

// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {

// Get the full path of the model.
ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);

// Build deploy model request.
UndeployModelRequest undeployModelRequest =
UndeployModelRequest.newBuilder().setName(modelFullId.toString()).build();

// Deploy a model with the deploy model request.
OperationFuture<Empty, OperationMetadata> future =
client.undeployModelAsync(undeployModelRequest);

future.get();

// Display the deployment details of model.
System.out.println("Model undeploy finished");
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}
// [END automl_vision_classification_undeploy_model]
Original file line number Diff line number Diff line change
Expand Up @@ -28,9 +28,9 @@
import java.io.IOException;
import java.util.concurrent.ExecutionException;

class DeployModelNodeCount {
class ObjectDetectionDeployModelNodeCount {

static void deployModelNodeCount(String projectId, String modelId) {
static void objectDetectionDeployModelNodeCount(String projectId, String modelId) {
// String projectId = "YOUR_PROJECT_ID";
// String modelId = "YOUR_MODEL_ID";

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Original file line number Diff line number Diff line change
@@ -0,0 +1,71 @@
/*
* 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.google.cloud.vision.samples.automl;

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;

public class ClassificationDeployModelIT {
private static final String PROJECT_ID = System.getenv("GOOGLE_CLOUD_PROJECT");
private static final String MODEL_ID = "ICN3125115511348658176";
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 testClassificationDeployModelApi() {
ClassificationDeployModel.classificationDeployModel(PROJECT_ID, MODEL_ID);

String got = bout.toString();
assertThat(got).contains("Model deployment finished");

ClassificationUndeployModel.classificationUndeployModel(PROJECT_ID, MODEL_ID);

got = bout.toString();
assertThat(got).contains("Model undeploy finished");
}

@Test
public void testClassificationDeployModelNodeCountApi() {
ClassificationDeployModelNodeCount.classificationDeployModelNodeCount(PROJECT_ID, MODEL_ID);

String got = bout.toString();
assertThat(got).contains("Model deployment on 2 nodes finished");

ClassificationUndeployModel.classificationUndeployModel(PROJECT_ID, MODEL_ID);

got = bout.toString();
assertThat(got).contains("Model undeploy finished");
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@
/** Tests for vision "Deploy Model Node Count" sample. */
@RunWith(JUnit4.class)
@SuppressWarnings("checkstyle:abbreviationaswordinname")
public class DeployModelNodeCountIT {
public class ObjectDetectionDeployModelNodeCountIT {
private static final String PROJECT_ID = System.getenv("GOOGLE_CLOUD_PROJECT");
private static final String MODEL_ID = "IOD1854128448151224320";
private ByteArrayOutputStream bout;
Expand All @@ -64,8 +64,8 @@ public void tearDown() throws IOException, InterruptedException, ExecutionExcept
}

@Test
public void testModelApi() {
DeployModelNodeCount.deployModelNodeCount(PROJECT_ID, MODEL_ID);
public void testObjectDetectionDeployModelNodeCountApi() {
ObjectDetectionDeployModelNodeCount.objectDetectionDeployModelNodeCount(PROJECT_ID, MODEL_ID);

String got = bout.toString();
assertThat(got).contains("Model deployment on 2 nodes finished");
Expand Down