/// <summary>
/// Provides the ability to track faces on image sources.
/// </summary>
- /// <since_tizen> 3</since_tizen>
+ /// <since_tizen> 3 </since_tizen>
public static class FaceTracker
{
/// </summary>
/// <param name="source">The source of the media to recognize face for.</param>
/// <param name="trackingModel">The model will be used for tracking.</param>
- /// <param name="doLearn">The value indicating whether model learning while tracking. If it is true then model will try to learn
- /// (if it supports learning feature), otherwise model will be not learned during the invoking tracking iteration.
+ /// <param name="doLearn">The value indicating whether model learning while tracking. If it is true, then the model will try to learn
+ /// (if it supports learning feature), otherwise the model will be not learned during the invoking tracking iteration.
/// Learning process improves tracking correctness, but can decrease tracking performance.</param>
/// <returns>A task that represents the asynchronous tracking operation.</returns>
/// <exception cref="ArgumentNullException">
/// </exception>
/// <exception cref="NotSupportedException">The feature is not supported.</exception>
/// <exception cref="InvalidOperationException"><paramref name="trackingModel"/> is not prepared.</exception>
- /// <since_tizen> 3</since_tizen>
+ /// <since_tizen> 3 </since_tizen>
public static async Task<FaceTrackingResult> TrackAsync(MediaVisionSource source,
FaceTrackingModel trackingModel, bool doLearn)
{