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A native Pulumi package for creating and managing Azure resources.
// *** WARNING: this file was generated by pulumi-java-gen. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
package com.pulumi.azurenative.media.inputs;
import com.pulumi.azurenative.media.enums.AnalysisResolution;
import com.pulumi.azurenative.media.enums.BlurType;
import com.pulumi.azurenative.media.enums.FaceRedactorMode;
import com.pulumi.core.Either;
import com.pulumi.core.Output;
import com.pulumi.core.annotations.Import;
import com.pulumi.core.internal.Codegen;
import com.pulumi.exceptions.MissingRequiredPropertyException;
import java.lang.String;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import javax.annotation.Nullable;
/**
* Describes all the settings to be used when analyzing a video in order to detect (and optionally redact) all the faces present.
*
*/
public final class FaceDetectorPresetArgs extends com.pulumi.resources.ResourceArgs {
public static final FaceDetectorPresetArgs Empty = new FaceDetectorPresetArgs();
/**
* Blur type
*
*/
@Import(name="blurType")
private @Nullable Output> blurType;
/**
* @return Blur type
*
*/
public Optional>> blurType() {
return Optional.ofNullable(this.blurType);
}
/**
* Dictionary containing key value pairs for parameters not exposed in the preset itself
*
*/
@Import(name="experimentalOptions")
private @Nullable Output> experimentalOptions;
/**
* @return Dictionary containing key value pairs for parameters not exposed in the preset itself
*
*/
public Optional>> experimentalOptions() {
return Optional.ofNullable(this.experimentalOptions);
}
/**
* This mode provides the ability to choose between the following settings: 1) Analyze - For detection only.This mode generates a metadata JSON file marking appearances of faces throughout the video.Where possible, appearances of the same person are assigned the same ID. 2) Combined - Additionally redacts(blurs) detected faces. 3) Redact - This enables a 2-pass process, allowing for selective redaction of a subset of detected faces.It takes in the metadata file from a prior analyze pass, along with the source video, and a user-selected subset of IDs that require redaction.
*
*/
@Import(name="mode")
private @Nullable Output> mode;
/**
* @return This mode provides the ability to choose between the following settings: 1) Analyze - For detection only.This mode generates a metadata JSON file marking appearances of faces throughout the video.Where possible, appearances of the same person are assigned the same ID. 2) Combined - Additionally redacts(blurs) detected faces. 3) Redact - This enables a 2-pass process, allowing for selective redaction of a subset of detected faces.It takes in the metadata file from a prior analyze pass, along with the source video, and a user-selected subset of IDs that require redaction.
*
*/
public Optional>> mode() {
return Optional.ofNullable(this.mode);
}
/**
* The discriminator for derived types.
* Expected value is '#Microsoft.Media.FaceDetectorPreset'.
*
*/
@Import(name="odataType", required=true)
private Output odataType;
/**
* @return The discriminator for derived types.
* Expected value is '#Microsoft.Media.FaceDetectorPreset'.
*
*/
public Output odataType() {
return this.odataType;
}
/**
* Specifies the maximum resolution at which your video is analyzed. The default behavior is "SourceResolution," which will keep the input video at its original resolution when analyzed. Using "StandardDefinition" will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to "StandardDefinition" will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
*
*/
@Import(name="resolution")
private @Nullable Output> resolution;
/**
* @return Specifies the maximum resolution at which your video is analyzed. The default behavior is "SourceResolution," which will keep the input video at its original resolution when analyzed. Using "StandardDefinition" will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to "StandardDefinition" will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
*
*/
public Optional>> resolution() {
return Optional.ofNullable(this.resolution);
}
private FaceDetectorPresetArgs() {}
private FaceDetectorPresetArgs(FaceDetectorPresetArgs $) {
this.blurType = $.blurType;
this.experimentalOptions = $.experimentalOptions;
this.mode = $.mode;
this.odataType = $.odataType;
this.resolution = $.resolution;
}
public static Builder builder() {
return new Builder();
}
public static Builder builder(FaceDetectorPresetArgs defaults) {
return new Builder(defaults);
}
public static final class Builder {
private FaceDetectorPresetArgs $;
public Builder() {
$ = new FaceDetectorPresetArgs();
}
public Builder(FaceDetectorPresetArgs defaults) {
$ = new FaceDetectorPresetArgs(Objects.requireNonNull(defaults));
}
/**
* @param blurType Blur type
*
* @return builder
*
*/
public Builder blurType(@Nullable Output> blurType) {
$.blurType = blurType;
return this;
}
/**
* @param blurType Blur type
*
* @return builder
*
*/
public Builder blurType(Either blurType) {
return blurType(Output.of(blurType));
}
/**
* @param blurType Blur type
*
* @return builder
*
*/
public Builder blurType(String blurType) {
return blurType(Either.ofLeft(blurType));
}
/**
* @param blurType Blur type
*
* @return builder
*
*/
public Builder blurType(BlurType blurType) {
return blurType(Either.ofRight(blurType));
}
/**
* @param experimentalOptions Dictionary containing key value pairs for parameters not exposed in the preset itself
*
* @return builder
*
*/
public Builder experimentalOptions(@Nullable Output> experimentalOptions) {
$.experimentalOptions = experimentalOptions;
return this;
}
/**
* @param experimentalOptions Dictionary containing key value pairs for parameters not exposed in the preset itself
*
* @return builder
*
*/
public Builder experimentalOptions(Map experimentalOptions) {
return experimentalOptions(Output.of(experimentalOptions));
}
/**
* @param mode This mode provides the ability to choose between the following settings: 1) Analyze - For detection only.This mode generates a metadata JSON file marking appearances of faces throughout the video.Where possible, appearances of the same person are assigned the same ID. 2) Combined - Additionally redacts(blurs) detected faces. 3) Redact - This enables a 2-pass process, allowing for selective redaction of a subset of detected faces.It takes in the metadata file from a prior analyze pass, along with the source video, and a user-selected subset of IDs that require redaction.
*
* @return builder
*
*/
public Builder mode(@Nullable Output> mode) {
$.mode = mode;
return this;
}
/**
* @param mode This mode provides the ability to choose between the following settings: 1) Analyze - For detection only.This mode generates a metadata JSON file marking appearances of faces throughout the video.Where possible, appearances of the same person are assigned the same ID. 2) Combined - Additionally redacts(blurs) detected faces. 3) Redact - This enables a 2-pass process, allowing for selective redaction of a subset of detected faces.It takes in the metadata file from a prior analyze pass, along with the source video, and a user-selected subset of IDs that require redaction.
*
* @return builder
*
*/
public Builder mode(Either mode) {
return mode(Output.of(mode));
}
/**
* @param mode This mode provides the ability to choose between the following settings: 1) Analyze - For detection only.This mode generates a metadata JSON file marking appearances of faces throughout the video.Where possible, appearances of the same person are assigned the same ID. 2) Combined - Additionally redacts(blurs) detected faces. 3) Redact - This enables a 2-pass process, allowing for selective redaction of a subset of detected faces.It takes in the metadata file from a prior analyze pass, along with the source video, and a user-selected subset of IDs that require redaction.
*
* @return builder
*
*/
public Builder mode(String mode) {
return mode(Either.ofLeft(mode));
}
/**
* @param mode This mode provides the ability to choose between the following settings: 1) Analyze - For detection only.This mode generates a metadata JSON file marking appearances of faces throughout the video.Where possible, appearances of the same person are assigned the same ID. 2) Combined - Additionally redacts(blurs) detected faces. 3) Redact - This enables a 2-pass process, allowing for selective redaction of a subset of detected faces.It takes in the metadata file from a prior analyze pass, along with the source video, and a user-selected subset of IDs that require redaction.
*
* @return builder
*
*/
public Builder mode(FaceRedactorMode mode) {
return mode(Either.ofRight(mode));
}
/**
* @param odataType The discriminator for derived types.
* Expected value is '#Microsoft.Media.FaceDetectorPreset'.
*
* @return builder
*
*/
public Builder odataType(Output odataType) {
$.odataType = odataType;
return this;
}
/**
* @param odataType The discriminator for derived types.
* Expected value is '#Microsoft.Media.FaceDetectorPreset'.
*
* @return builder
*
*/
public Builder odataType(String odataType) {
return odataType(Output.of(odataType));
}
/**
* @param resolution Specifies the maximum resolution at which your video is analyzed. The default behavior is "SourceResolution," which will keep the input video at its original resolution when analyzed. Using "StandardDefinition" will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to "StandardDefinition" will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
*
* @return builder
*
*/
public Builder resolution(@Nullable Output> resolution) {
$.resolution = resolution;
return this;
}
/**
* @param resolution Specifies the maximum resolution at which your video is analyzed. The default behavior is "SourceResolution," which will keep the input video at its original resolution when analyzed. Using "StandardDefinition" will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to "StandardDefinition" will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
*
* @return builder
*
*/
public Builder resolution(Either resolution) {
return resolution(Output.of(resolution));
}
/**
* @param resolution Specifies the maximum resolution at which your video is analyzed. The default behavior is "SourceResolution," which will keep the input video at its original resolution when analyzed. Using "StandardDefinition" will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to "StandardDefinition" will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
*
* @return builder
*
*/
public Builder resolution(String resolution) {
return resolution(Either.ofLeft(resolution));
}
/**
* @param resolution Specifies the maximum resolution at which your video is analyzed. The default behavior is "SourceResolution," which will keep the input video at its original resolution when analyzed. Using "StandardDefinition" will resize input videos to standard definition while preserving the appropriate aspect ratio. It will only resize if the video is of higher resolution. For example, a 1920x1080 input would be scaled to 640x360 before processing. Switching to "StandardDefinition" will reduce the time it takes to process high resolution video. It may also reduce the cost of using this component (see https://azure.microsoft.com/en-us/pricing/details/media-services/#analytics for details). However, faces that end up being too small in the resized video may not be detected.
*
* @return builder
*
*/
public Builder resolution(AnalysisResolution resolution) {
return resolution(Either.ofRight(resolution));
}
public FaceDetectorPresetArgs build() {
$.odataType = Codegen.stringProp("odataType").output().arg($.odataType).require();
return $;
}
}
}
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