diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java
index d66828c58..7047e1450 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java
+++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfig.java
@@ -366,6 +366,23 @@ public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestination
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -413,6 +430,23 @@ public java.lang.String getModelFormat() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -1539,6 +1573,23 @@ public com.google.cloud.automl.v1beta1.GcrDestinationOrBuilder getGcrDestination
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -1585,6 +1636,23 @@ public java.lang.String getModelFormat() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -1631,6 +1699,23 @@ public com.google.protobuf.ByteString getModelFormatBytes() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -1676,6 +1761,23 @@ public Builder setModelFormat(java.lang.String value) {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -1717,6 +1819,23 @@ public Builder clearModelFormat() {
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java
index 810784ffd..1b77d30a7 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java
+++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ModelExportOutputConfigOrBuilder.java
@@ -138,6 +138,23 @@ public interface ModelExportOutputConfigOrBuilder
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
@@ -174,6 +191,23 @@ public interface ModelExportOutputConfigOrBuilder
* * For Image Classification mobile-core-ml-low-latency-1,
* mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
* "core_ml" (default).
+ * * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ * mobile-high-accuracy-1:
+ * "tflite", "tf_saved_model", "tf_js".
+ * * For Video Classification cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking cloud,
+ * "tf_saved_model".
+ * * For Video Object Tracking mobile-versatile-1:
+ * "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ * * For Video Object Tracking mobile-coral-versatile-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-coral-low-latency-1:
+ * "tflite", "edgetpu_tflite", "docker".
+ * * For Video Object Tracking mobile-jetson-versatile-1:
+ * "tf_saved_model", "docker".
+ * * For Tables:
+ * "docker".
* Formats description:
* * tflite - Used for Android mobile devices.
* * edgetpu_tflite - Used for [Edge TPU](https://cloud.google.com/edge-tpu/)
diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java
index 6cafee9e8..e2ab45e01 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java
+++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadata.java
@@ -37,7 +37,9 @@ private TextExtractionModelMetadata(com.google.protobuf.GeneratedMessageV3.Build
super(builder);
}
- private TextExtractionModelMetadata() {}
+ private TextExtractionModelMetadata() {
+ modelHint_ = "";
+ }
@java.lang.Override
@SuppressWarnings({"unused"})
@@ -68,6 +70,13 @@ private TextExtractionModelMetadata(
case 0:
done = true;
break;
+ case 26:
+ {
+ java.lang.String s = input.readStringRequireUtf8();
+
+ modelHint_ = s;
+ break;
+ }
default:
{
if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
@@ -102,6 +111,61 @@ public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.Builder.class);
}
+ public static final int MODEL_HINT_FIELD_NUMBER = 3;
+ private volatile java.lang.Object modelHint_;
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return The modelHint.
+ */
+ @java.lang.Override
+ public java.lang.String getModelHint() {
+ java.lang.Object ref = modelHint_;
+ if (ref instanceof java.lang.String) {
+ return (java.lang.String) ref;
+ } else {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ modelHint_ = s;
+ return s;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return The bytes for modelHint.
+ */
+ @java.lang.Override
+ public com.google.protobuf.ByteString getModelHintBytes() {
+ java.lang.Object ref = modelHint_;
+ if (ref instanceof java.lang.String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ modelHint_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+
private byte memoizedIsInitialized = -1;
@java.lang.Override
@@ -116,6 +180,9 @@ public final boolean isInitialized() {
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
+ if (!getModelHintBytes().isEmpty()) {
+ com.google.protobuf.GeneratedMessageV3.writeString(output, 3, modelHint_);
+ }
unknownFields.writeTo(output);
}
@@ -125,6 +192,9 @@ public int getSerializedSize() {
if (size != -1) return size;
size = 0;
+ if (!getModelHintBytes().isEmpty()) {
+ size += com.google.protobuf.GeneratedMessageV3.computeStringSize(3, modelHint_);
+ }
size += unknownFields.getSerializedSize();
memoizedSize = size;
return size;
@@ -141,6 +211,7 @@ public boolean equals(final java.lang.Object obj) {
com.google.cloud.automl.v1beta1.TextExtractionModelMetadata other =
(com.google.cloud.automl.v1beta1.TextExtractionModelMetadata) obj;
+ if (!getModelHint().equals(other.getModelHint())) return false;
if (!unknownFields.equals(other.unknownFields)) return false;
return true;
}
@@ -152,6 +223,8 @@ public int hashCode() {
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
+ hash = (37 * hash) + MODEL_HINT_FIELD_NUMBER;
+ hash = (53 * hash) + getModelHint().hashCode();
hash = (29 * hash) + unknownFields.hashCode();
memoizedHashCode = hash;
return hash;
@@ -298,6 +371,8 @@ private void maybeForceBuilderInitialization() {
@java.lang.Override
public Builder clear() {
super.clear();
+ modelHint_ = "";
+
return this;
}
@@ -325,6 +400,7 @@ public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata build() {
public com.google.cloud.automl.v1beta1.TextExtractionModelMetadata buildPartial() {
com.google.cloud.automl.v1beta1.TextExtractionModelMetadata result =
new com.google.cloud.automl.v1beta1.TextExtractionModelMetadata(this);
+ result.modelHint_ = modelHint_;
onBuilt();
return result;
}
@@ -375,6 +451,10 @@ public Builder mergeFrom(com.google.protobuf.Message other) {
public Builder mergeFrom(com.google.cloud.automl.v1beta1.TextExtractionModelMetadata other) {
if (other == com.google.cloud.automl.v1beta1.TextExtractionModelMetadata.getDefaultInstance())
return this;
+ if (!other.getModelHint().isEmpty()) {
+ modelHint_ = other.modelHint_;
+ onChanged();
+ }
this.mergeUnknownFields(other.unknownFields);
onChanged();
return this;
@@ -405,6 +485,127 @@ public Builder mergeFrom(
return this;
}
+ private java.lang.Object modelHint_ = "";
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return The modelHint.
+ */
+ public java.lang.String getModelHint() {
+ java.lang.Object ref = modelHint_;
+ if (!(ref instanceof java.lang.String)) {
+ com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
+ java.lang.String s = bs.toStringUtf8();
+ modelHint_ = s;
+ return s;
+ } else {
+ return (java.lang.String) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return The bytes for modelHint.
+ */
+ public com.google.protobuf.ByteString getModelHintBytes() {
+ java.lang.Object ref = modelHint_;
+ if (ref instanceof String) {
+ com.google.protobuf.ByteString b =
+ com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
+ modelHint_ = b;
+ return b;
+ } else {
+ return (com.google.protobuf.ByteString) ref;
+ }
+ }
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @param value The modelHint to set.
+ * @return This builder for chaining.
+ */
+ public Builder setModelHint(java.lang.String value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+
+ modelHint_ = value;
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return This builder for chaining.
+ */
+ public Builder clearModelHint() {
+
+ modelHint_ = getDefaultInstance().getModelHint();
+ onChanged();
+ return this;
+ }
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @param value The bytes for modelHint to set.
+ * @return This builder for chaining.
+ */
+ public Builder setModelHintBytes(com.google.protobuf.ByteString value) {
+ if (value == null) {
+ throw new NullPointerException();
+ }
+ checkByteStringIsUtf8(value);
+
+ modelHint_ = value;
+ onChanged();
+ return this;
+ }
+
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java
index a1e158341..be64161f3 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java
+++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextExtractionModelMetadataOrBuilder.java
@@ -21,4 +21,36 @@
public interface TextExtractionModelMetadataOrBuilder
extends
// @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextExtractionModelMetadata)
- com.google.protobuf.MessageOrBuilder {}
+ com.google.protobuf.MessageOrBuilder {
+
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return The modelHint.
+ */
+ java.lang.String getModelHint();
+ /**
+ *
+ *
+ *
+ * Indicates the scope of model use case.
+ * * `default`: Use to train a general text extraction model. Default value.
+ * * `health_care`: Use to train a text extraction model that is tuned for
+ * healthcare applications.
+ *
+ *
+ * string model_hint = 3;
+ *
+ * @return The bytes for modelHint.
+ */
+ com.google.protobuf.ByteString getModelHintBytes();
+}
diff --git a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java
index bee55a1c9..0457c2bd3 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java
+++ b/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/TextProto.java
@@ -70,14 +70,15 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
+ "cationModelMetadata\022L\n\023classification_ty"
+ "pe\030\003 \001(\0162/.google.cloud.automl.v1beta1.C"
+ "lassificationType\"\037\n\035TextExtractionDatas"
- + "etMetadata\"\035\n\033TextExtractionModelMetadat"
- + "a\"5\n\034TextSentimentDatasetMetadata\022\025\n\rsen"
- + "timent_max\030\001 \001(\005\"\034\n\032TextSentimentModelMe"
- + "tadataB\260\001\n\037com.google.cloud.automl.v1bet"
- + "a1B\tTextProtoP\001ZAgoogle.golang.org/genpr"
- + "oto/googleapis/cloud/automl/v1beta1;auto"
- + "ml\312\002\033Google\\Cloud\\AutoMl\\V1beta1\352\002\036Googl"
- + "e::Cloud::AutoML::V1beta1b\006proto3"
+ + "etMetadata\"1\n\033TextExtractionModelMetadat"
+ + "a\022\022\n\nmodel_hint\030\003 \001(\t\"5\n\034TextSentimentDa"
+ + "tasetMetadata\022\025\n\rsentiment_max\030\001 \001(\005\"\034\n\032"
+ + "TextSentimentModelMetadataB\260\001\n\037com.googl"
+ + "e.cloud.automl.v1beta1B\tTextProtoP\001ZAgoo"
+ + "gle.golang.org/genproto/googleapis/cloud"
+ + "/automl/v1beta1;automl\312\002\033Google\\Cloud\\Au"
+ + "toMl\\V1beta1\352\002\036Google::Cloud::AutoML::V1"
+ + "beta1b\006proto3"
};
descriptor =
com.google.protobuf.Descriptors.FileDescriptor.internalBuildGeneratedFileFrom(
@@ -113,7 +114,9 @@ public static com.google.protobuf.Descriptors.FileDescriptor getDescriptor() {
internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_fieldAccessorTable =
new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_google_cloud_automl_v1beta1_TextExtractionModelMetadata_descriptor,
- new java.lang.String[] {});
+ new java.lang.String[] {
+ "ModelHint",
+ });
internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_descriptor =
getDescriptor().getMessageTypes().get(4);
internal_static_google_cloud_automl_v1beta1_TextSentimentDatasetMetadata_fieldAccessorTable =
diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
index a99793830..3d8ab45fe 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
+++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/io.proto
@@ -1015,6 +1015,32 @@ message ModelExportOutputConfig {
// * For Image Classification mobile-core-ml-low-latency-1,
// mobile-core-ml-versatile-1, mobile-core-ml-high-accuracy-1:
// "core_ml" (default).
+ //
+ // * For Image Object Detection mobile-low-latency-1, mobile-versatile-1,
+ // mobile-high-accuracy-1:
+ // "tflite", "tf_saved_model", "tf_js".
+ //
+ // * For Video Classification cloud,
+ // "tf_saved_model".
+ //
+ // * For Video Object Tracking cloud,
+ // "tf_saved_model".
+ //
+ // * For Video Object Tracking mobile-versatile-1:
+ // "tflite", "edgetpu_tflite", "tf_saved_model", "docker".
+ //
+ // * For Video Object Tracking mobile-coral-versatile-1:
+ // "tflite", "edgetpu_tflite", "docker".
+ //
+ // * For Video Object Tracking mobile-coral-low-latency-1:
+ // "tflite", "edgetpu_tflite", "docker".
+ //
+ // * For Video Object Tracking mobile-jetson-versatile-1:
+ // "tf_saved_model", "docker".
+ //
+ // * For Tables:
+ // "docker".
+ //
// Formats description:
//
// * tflite - Used for Android mobile devices.
diff --git a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto
index f6f33185c..3319a094b 100644
--- a/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto
+++ b/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/text.proto
@@ -45,7 +45,13 @@ message TextExtractionDatasetMetadata {
// Model metadata that is specific to text extraction.
message TextExtractionModelMetadata {
-
+ // Indicates the scope of model use case.
+ //
+ // * `default`: Use to train a general text extraction model. Default value.
+ //
+ // * `health_care`: Use to train a text extraction model that is tuned for
+ // healthcare applications.
+ string model_hint = 3;
}
// Dataset metadata for text sentiment.
diff --git a/synth.metadata b/synth.metadata
index 0071eaca3..51bcd3ba6 100644
--- a/synth.metadata
+++ b/synth.metadata
@@ -4,23 +4,23 @@
"git": {
"name": ".",
"remote": "https://github.com/googleapis/java-automl.git",
- "sha": "8df5c750c8b1221b2eeb195d46ff1993d12db6f5"
+ "sha": "79b162d1205954e6379317ca3bd25295ac391189"
}
},
{
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
- "sha": "868615a5c1c1059c636bb3d82a555edb1d5a251e",
- "internalRef": "324294521"
+ "sha": "bda7ce951def5ae6e5c4258d0e569188dd4ae02b",
+ "internalRef": "336180475"
}
},
{
"git": {
"name": "googleapis",
"remote": "https://github.com/googleapis/googleapis.git",
- "sha": "868615a5c1c1059c636bb3d82a555edb1d5a251e",
- "internalRef": "324294521"
+ "sha": "bda7ce951def5ae6e5c4258d0e569188dd4ae02b",
+ "internalRef": "336180475"
}
},
{