/// <summary>
/// FaceSentimentAnalyzerDescriptor constructor
/// </summary>
public FaceSentimentAnalyzerDescriptor()
{
Name = "FaceSentimentAnalyzer";
Description = "Finds a face in the image and infers its predominant sentiment from a set of 8 possible labels";
// {F8D275CE-C244-4E71-8A39-57335D291388}
Id = new Guid(0xf8d275ce, 0xc244, 0x4e71, 0x8a, 0x39, 0x57, 0x33, 0x5d, 0x29, 0x13, 0x88);
Version = SkillVersion.Create(
0, // major version
1, // minor version
"Contoso Developer", // Author name
"Contoso Publishing" // Publisher name
);
// Describe input feature
m_inputSkillDesc = new List <ISkillFeatureDescriptor>();
m_inputSkillDesc.Add(
new SkillFeatureImageDescriptor(
FaceSentimentAnalyzerConst.SKILL_INPUTNAME_IMAGE,
"the input image onto which the sentiment analysis runs",
true, // isRequired (since this is an input, it is required to be bound before the evaluation occurs)
-1, // width
-1, // height
-1, // maxDimension
BitmapPixelFormat.Nv12,
BitmapAlphaMode.Ignore)
);
// Describe first output feature
m_outputSkillDesc = new List <ISkillFeatureDescriptor>();
m_outputSkillDesc.Add(
new SkillFeatureTensorDescriptor(
FaceSentimentAnalyzerConst.SKILL_OUTPUTNAME_FACERECTANGLE,
"a face bounding box in relative coordinates (left, top, right, bottom)",
false, // isRequired (since this is an output, it automatically get populated after the evaluation occurs)
new List <long>()
{
4
}, // tensor shape
SkillElementKind.Float)
);
// Describe second output feature
m_outputSkillDesc.Add(
new SkillFeatureTensorDescriptor(
FaceSentimentAnalyzerConst.SKILL_OUTPUTNAME_FACESENTIMENTSCORES,
"the prediction score for each class",
false, // isRequired (since this is an output, it automatically get populated after the evaluation occurs)
new List <long>()
{
1, 8
}, // tensor shape
SkillElementKind.Float)
);
}
/// <summary>
/// NeuralStyleTransformerDescriptor constructor
/// </summary>
public NeuralStyleTransformerDescriptor(StyleChoices styleChoice = StyleChoices.Candy)
{
Name = "NeuralStyleTransformer";
Description = "Transform your image to an art";
// {F8D275CE-C244-4E71-8A39-57335D291387}
Id = new Guid(0xf8d275ce, 0xc244, 0x4e71, 0x8a, 0x39, 0x57, 0x33, 0x5d, 0x29, 0x13, 0x87);
Version = SkillVersion.Create(
0, // major version
1, // minor version
"Makers ID", // Author name
"Buitenzorg Makers Club" // Publisher name
);
// Describe input feature
m_inputSkillDesc = new List <ISkillFeatureDescriptor>();
m_inputSkillDesc.Add(
new SkillFeatureImageDescriptor(
NeuralStyleTransformerConst.SKILL_INPUTNAME_IMAGE,
"the input image onto which the model runs",
true, // isRequired (since this is an input, it is required to be bound before the evaluation occurs)
-1, // width
-1, // height
-1, // maxDimension
BitmapPixelFormat.Nv12,
BitmapAlphaMode.Ignore)
);
// Describe first output feature
m_outputSkillDesc = new List <ISkillFeatureDescriptor>();
m_outputSkillDesc.Add(
new SkillFeatureImageDescriptor(
NeuralStyleTransformerConst.SKILL_OUTPUTNAME_IMAGE,
"a transformed image",
true, // isRequired
-1, // width
-1, // height
-1, // maxDimension
BitmapPixelFormat.Nv12,
BitmapAlphaMode.Ignore)
);
//default
this.styleChoice = styleChoice;
}
/// <summary> Initializes a new instance of <see cref="SentimentSkill"/>. </summary>
/// <param name="inputs"> Inputs of the skills could be a column in the source data set, or the output of an upstream skill. </param>
/// <param name="outputs"> The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. </param>
/// <param name="skillVersion"> Service version information of the skill. Default value is <see cref="SkillVersion.V1"/>. </param>
/// <exception cref="ArgumentNullException"> <paramref name="inputs"/> or <paramref name="outputs"/> is null. </exception>
public SentimentSkill(IEnumerable <InputFieldMappingEntry> inputs, IEnumerable <OutputFieldMappingEntry> outputs, SkillVersion skillVersion) : this(inputs, outputs)
{
_skillVersion = skillVersion;
ODataType = skillVersion.ToString();
}
