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/*
* Copyright 2024 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
*
* https://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.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1/detection.proto
// Protobuf Java Version: 3.25.4
package com.google.cloud.automl.v1;
/**
*
*
*
* Model evaluation metrics for image object detection problems.
* Evaluates prediction quality of labeled bounding boxes.
*
*
* Protobuf type {@code google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics}
*/
public final class ImageObjectDetectionEvaluationMetrics
extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics)
ImageObjectDetectionEvaluationMetricsOrBuilder {
private static final long serialVersionUID = 0L;
// Use ImageObjectDetectionEvaluationMetrics.newBuilder() to construct.
private ImageObjectDetectionEvaluationMetrics(
com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ImageObjectDetectionEvaluationMetrics() {
boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new ImageObjectDetectionEvaluationMetrics();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1.Detection
.internal_static_google_cloud_automl_v1_ImageObjectDetectionEvaluationMetrics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1.Detection
.internal_static_google_cloud_automl_v1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.class,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder.class);
}
public static final int EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER = 1;
private int evaluatedBoundingBoxCount_ = 0;
/**
*
*
*
* Output only. The total number of bounding boxes (i.e. summed over all
* images) the ground truth used to create this evaluation had.
*
*
* int32 evaluated_bounding_box_count = 1;
*
* @return The evaluatedBoundingBoxCount.
*/
@java.lang.Override
public int getEvaluatedBoundingBoxCount() {
return evaluatedBoundingBoxCount_;
}
public static final int BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER = 2;
@SuppressWarnings("serial")
private java.util.List
boundingBoxMetricsEntries_;
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
@java.lang.Override
public java.util.List
getBoundingBoxMetricsEntriesList() {
return boundingBoxMetricsEntries_;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
@java.lang.Override
public java.util.List
getBoundingBoxMetricsEntriesOrBuilderList() {
return boundingBoxMetricsEntries_;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
@java.lang.Override
public int getBoundingBoxMetricsEntriesCount() {
return boundingBoxMetricsEntries_.size();
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(
int index) {
return boundingBoxMetricsEntries_.get(index);
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
@java.lang.Override
public com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder
getBoundingBoxMetricsEntriesOrBuilder(int index) {
return boundingBoxMetricsEntries_.get(index);
}
public static final int BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER = 3;
private float boundingBoxMeanAveragePrecision_ = 0F;
/**
*
*
*
* Output only. The single metric for bounding boxes evaluation:
* the mean_average_precision averaged over all bounding_box_metrics_entries.
*
*
* float bounding_box_mean_average_precision = 3;
*
* @return The boundingBoxMeanAveragePrecision.
*/
@java.lang.Override
public float getBoundingBoxMeanAveragePrecision() {
return boundingBoxMeanAveragePrecision_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
if (evaluatedBoundingBoxCount_ != 0) {
output.writeInt32(1, evaluatedBoundingBoxCount_);
}
for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) {
output.writeMessage(2, boundingBoxMetricsEntries_.get(i));
}
if (java.lang.Float.floatToRawIntBits(boundingBoxMeanAveragePrecision_) != 0) {
output.writeFloat(3, boundingBoxMeanAveragePrecision_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (evaluatedBoundingBoxCount_ != 0) {
size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, evaluatedBoundingBoxCount_);
}
for (int i = 0; i < boundingBoxMetricsEntries_.size(); i++) {
size +=
com.google.protobuf.CodedOutputStream.computeMessageSize(
2, boundingBoxMetricsEntries_.get(i));
}
if (java.lang.Float.floatToRawIntBits(boundingBoxMeanAveragePrecision_) != 0) {
size +=
com.google.protobuf.CodedOutputStream.computeFloatSize(
3, boundingBoxMeanAveragePrecision_);
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics)) {
return super.equals(obj);
}
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics other =
(com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) obj;
if (getEvaluatedBoundingBoxCount() != other.getEvaluatedBoundingBoxCount()) return false;
if (!getBoundingBoxMetricsEntriesList().equals(other.getBoundingBoxMetricsEntriesList()))
return false;
if (java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision())
!= java.lang.Float.floatToIntBits(other.getBoundingBoxMeanAveragePrecision())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
hash = (37 * hash) + EVALUATED_BOUNDING_BOX_COUNT_FIELD_NUMBER;
hash = (53 * hash) + getEvaluatedBoundingBoxCount();
if (getBoundingBoxMetricsEntriesCount() > 0) {
hash = (37 * hash) + BOUNDING_BOX_METRICS_ENTRIES_FIELD_NUMBER;
hash = (53 * hash) + getBoundingBoxMetricsEntriesList().hashCode();
}
hash = (37 * hash) + BOUNDING_BOX_MEAN_AVERAGE_PRECISION_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(getBoundingBoxMeanAveragePrecision());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Model evaluation metrics for image object detection problems.
* Evaluates prediction quality of labeled bounding boxes.
*
*
* Protobuf type {@code google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics)
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetricsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.automl.v1.Detection
.internal_static_google_cloud_automl_v1_ImageObjectDetectionEvaluationMetrics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.automl.v1.Detection
.internal_static_google_cloud_automl_v1_ImageObjectDetectionEvaluationMetrics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.class,
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.Builder.class);
}
// Construct using com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
evaluatedBoundingBoxCount_ = 0;
if (boundingBoxMetricsEntriesBuilder_ == null) {
boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
} else {
boundingBoxMetricsEntries_ = null;
boundingBoxMetricsEntriesBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000002);
boundingBoxMeanAveragePrecision_ = 0F;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.automl.v1.Detection
.internal_static_google_cloud_automl_v1_ImageObjectDetectionEvaluationMetrics_descriptor;
}
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
getDefaultInstanceForType() {
return com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics build() {
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics buildPartial() {
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics result =
new com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartialRepeatedFields(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics result) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
if (((bitField0_ & 0x00000002) != 0)) {
boundingBoxMetricsEntries_ =
java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
bitField0_ = (bitField0_ & ~0x00000002);
}
result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntries_;
} else {
result.boundingBoxMetricsEntries_ = boundingBoxMetricsEntriesBuilder_.build();
}
}
private void buildPartial0(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.evaluatedBoundingBoxCount_ = evaluatedBoundingBoxCount_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.boundingBoxMeanAveragePrecision_ = boundingBoxMeanAveragePrecision_;
}
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) {
return mergeFrom((com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(
com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics other) {
if (other
== com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics.getDefaultInstance())
return this;
if (other.getEvaluatedBoundingBoxCount() != 0) {
setEvaluatedBoundingBoxCount(other.getEvaluatedBoundingBoxCount());
}
if (boundingBoxMetricsEntriesBuilder_ == null) {
if (!other.boundingBoxMetricsEntries_.isEmpty()) {
if (boundingBoxMetricsEntries_.isEmpty()) {
boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_;
bitField0_ = (bitField0_ & ~0x00000002);
} else {
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.addAll(other.boundingBoxMetricsEntries_);
}
onChanged();
}
} else {
if (!other.boundingBoxMetricsEntries_.isEmpty()) {
if (boundingBoxMetricsEntriesBuilder_.isEmpty()) {
boundingBoxMetricsEntriesBuilder_.dispose();
boundingBoxMetricsEntriesBuilder_ = null;
boundingBoxMetricsEntries_ = other.boundingBoxMetricsEntries_;
bitField0_ = (bitField0_ & ~0x00000002);
boundingBoxMetricsEntriesBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getBoundingBoxMetricsEntriesFieldBuilder()
: null;
} else {
boundingBoxMetricsEntriesBuilder_.addAllMessages(other.boundingBoxMetricsEntries_);
}
}
}
if (other.getBoundingBoxMeanAveragePrecision() != 0F) {
setBoundingBoxMeanAveragePrecision(other.getBoundingBoxMeanAveragePrecision());
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 8:
{
evaluatedBoundingBoxCount_ = input.readInt32();
bitField0_ |= 0x00000001;
break;
} // case 8
case 18:
{
com.google.cloud.automl.v1.BoundingBoxMetricsEntry m =
input.readMessage(
com.google.cloud.automl.v1.BoundingBoxMetricsEntry.parser(),
extensionRegistry);
if (boundingBoxMetricsEntriesBuilder_ == null) {
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.add(m);
} else {
boundingBoxMetricsEntriesBuilder_.addMessage(m);
}
break;
} // case 18
case 29:
{
boundingBoxMeanAveragePrecision_ = input.readFloat();
bitField0_ |= 0x00000004;
break;
} // case 29
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
}
private int bitField0_;
private int evaluatedBoundingBoxCount_;
/**
*
*
*
* Output only. The total number of bounding boxes (i.e. summed over all
* images) the ground truth used to create this evaluation had.
*
*
* int32 evaluated_bounding_box_count = 1;
*
* @return The evaluatedBoundingBoxCount.
*/
@java.lang.Override
public int getEvaluatedBoundingBoxCount() {
return evaluatedBoundingBoxCount_;
}
/**
*
*
*
* Output only. The total number of bounding boxes (i.e. summed over all
* images) the ground truth used to create this evaluation had.
*
*
* int32 evaluated_bounding_box_count = 1;
*
* @param value The evaluatedBoundingBoxCount to set.
* @return This builder for chaining.
*/
public Builder setEvaluatedBoundingBoxCount(int value) {
evaluatedBoundingBoxCount_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* Output only. The total number of bounding boxes (i.e. summed over all
* images) the ground truth used to create this evaluation had.
*
*
* int32 evaluated_bounding_box_count = 1;
*
* @return This builder for chaining.
*/
public Builder clearEvaluatedBoundingBoxCount() {
bitField0_ = (bitField0_ & ~0x00000001);
evaluatedBoundingBoxCount_ = 0;
onChanged();
return this;
}
private java.util.List
boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
private void ensureBoundingBoxMetricsEntriesIsMutable() {
if (!((bitField0_ & 0x00000002) != 0)) {
boundingBoxMetricsEntries_ =
new java.util.ArrayList(
boundingBoxMetricsEntries_);
bitField0_ |= 0x00000002;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1.BoundingBoxMetricsEntry,
com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder,
com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder>
boundingBoxMetricsEntriesBuilder_;
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public java.util.List
getBoundingBoxMetricsEntriesList() {
if (boundingBoxMetricsEntriesBuilder_ == null) {
return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
} else {
return boundingBoxMetricsEntriesBuilder_.getMessageList();
}
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public int getBoundingBoxMetricsEntriesCount() {
if (boundingBoxMetricsEntriesBuilder_ == null) {
return boundingBoxMetricsEntries_.size();
} else {
return boundingBoxMetricsEntriesBuilder_.getCount();
}
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1.BoundingBoxMetricsEntry getBoundingBoxMetricsEntries(
int index) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
return boundingBoxMetricsEntries_.get(index);
} else {
return boundingBoxMetricsEntriesBuilder_.getMessage(index);
}
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder setBoundingBoxMetricsEntries(
int index, com.google.cloud.automl.v1.BoundingBoxMetricsEntry value) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.set(index, value);
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.setMessage(index, value);
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder setBoundingBoxMetricsEntries(
int index, com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder builderForValue) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.set(index, builderForValue.build());
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder addBoundingBoxMetricsEntries(
com.google.cloud.automl.v1.BoundingBoxMetricsEntry value) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.add(value);
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.addMessage(value);
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder addBoundingBoxMetricsEntries(
int index, com.google.cloud.automl.v1.BoundingBoxMetricsEntry value) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.add(index, value);
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.addMessage(index, value);
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder addBoundingBoxMetricsEntries(
com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder builderForValue) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.add(builderForValue.build());
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder addBoundingBoxMetricsEntries(
int index, com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder builderForValue) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.add(index, builderForValue.build());
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder addAllBoundingBoxMetricsEntries(
java.lang.Iterable values) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
ensureBoundingBoxMetricsEntriesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, boundingBoxMetricsEntries_);
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.addAllMessages(values);
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder clearBoundingBoxMetricsEntries() {
if (boundingBoxMetricsEntriesBuilder_ == null) {
boundingBoxMetricsEntries_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000002);
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.clear();
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public Builder removeBoundingBoxMetricsEntries(int index) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
ensureBoundingBoxMetricsEntriesIsMutable();
boundingBoxMetricsEntries_.remove(index);
onChanged();
} else {
boundingBoxMetricsEntriesBuilder_.remove(index);
}
return this;
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder
getBoundingBoxMetricsEntriesBuilder(int index) {
return getBoundingBoxMetricsEntriesFieldBuilder().getBuilder(index);
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder
getBoundingBoxMetricsEntriesOrBuilder(int index) {
if (boundingBoxMetricsEntriesBuilder_ == null) {
return boundingBoxMetricsEntries_.get(index);
} else {
return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilder(index);
}
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public java.util.List
getBoundingBoxMetricsEntriesOrBuilderList() {
if (boundingBoxMetricsEntriesBuilder_ != null) {
return boundingBoxMetricsEntriesBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(boundingBoxMetricsEntries_);
}
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder
addBoundingBoxMetricsEntriesBuilder() {
return getBoundingBoxMetricsEntriesFieldBuilder()
.addBuilder(com.google.cloud.automl.v1.BoundingBoxMetricsEntry.getDefaultInstance());
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder
addBoundingBoxMetricsEntriesBuilder(int index) {
return getBoundingBoxMetricsEntriesFieldBuilder()
.addBuilder(
index, com.google.cloud.automl.v1.BoundingBoxMetricsEntry.getDefaultInstance());
}
/**
*
*
*
* Output only. The bounding boxes match metrics for each
* Intersection-over-union threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* and each label confidence threshold 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99
* pair.
*
*
*
* repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry bounding_box_metrics_entries = 2;
*
*/
public java.util.List
getBoundingBoxMetricsEntriesBuilderList() {
return getBoundingBoxMetricsEntriesFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1.BoundingBoxMetricsEntry,
com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder,
com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder>
getBoundingBoxMetricsEntriesFieldBuilder() {
if (boundingBoxMetricsEntriesBuilder_ == null) {
boundingBoxMetricsEntriesBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.automl.v1.BoundingBoxMetricsEntry,
com.google.cloud.automl.v1.BoundingBoxMetricsEntry.Builder,
com.google.cloud.automl.v1.BoundingBoxMetricsEntryOrBuilder>(
boundingBoxMetricsEntries_,
((bitField0_ & 0x00000002) != 0),
getParentForChildren(),
isClean());
boundingBoxMetricsEntries_ = null;
}
return boundingBoxMetricsEntriesBuilder_;
}
private float boundingBoxMeanAveragePrecision_;
/**
*
*
*
* Output only. The single metric for bounding boxes evaluation:
* the mean_average_precision averaged over all bounding_box_metrics_entries.
*
*
* float bounding_box_mean_average_precision = 3;
*
* @return The boundingBoxMeanAveragePrecision.
*/
@java.lang.Override
public float getBoundingBoxMeanAveragePrecision() {
return boundingBoxMeanAveragePrecision_;
}
/**
*
*
*
* Output only. The single metric for bounding boxes evaluation:
* the mean_average_precision averaged over all bounding_box_metrics_entries.
*
*
* float bounding_box_mean_average_precision = 3;
*
* @param value The boundingBoxMeanAveragePrecision to set.
* @return This builder for chaining.
*/
public Builder setBoundingBoxMeanAveragePrecision(float value) {
boundingBoxMeanAveragePrecision_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* Output only. The single metric for bounding boxes evaluation:
* the mean_average_precision averaged over all bounding_box_metrics_entries.
*
*
* float bounding_box_mean_average_precision = 3;
*
* @return This builder for chaining.
*/
public Builder clearBoundingBoxMeanAveragePrecision() {
bitField0_ = (bitField0_ & ~0x00000004);
boundingBoxMeanAveragePrecision_ = 0F;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics)
}
// @@protoc_insertion_point(class_scope:google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics)
private static final com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics();
}
public static com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ImageObjectDetectionEvaluationMetrics parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.automl.v1.ImageObjectDetectionEvaluationMetrics
getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}