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Extracts facial keypoints from images for AI art and image processing tasks using advanced face analysis techniques.
The FaceKeypointsPreprocessor node is designed to analyze images and extract facial keypoints, which are crucial for various AI art and image processing tasks. This node leverages advanced face analysis techniques to identify and mark key facial features, such as eyes, nose, and mouth, on the provided image. By doing so, it enables you to perform detailed facial analysis, which can be used for enhancing images, creating facial animations, or applying artistic effects. The primary goal of this node is to facilitate the extraction of facial keypoints in a seamless and efficient manner, ensuring that even if no face is detected, the process continues without causing interruptions.
This parameter expects a face analysis model, which is used to detect and analyze faces within the image. The model should be pre-loaded and prepared to perform facial keypoint extraction. The accuracy and performance of the keypoint extraction heavily depend on the quality and configuration of the face analysis model provided.
This parameter takes an image in which the facial keypoints need to be extracted. The image should be in a compatible format and resolution that the face analysis model can process effectively. The quality of the input image can significantly impact the accuracy of the keypoint extraction.
The output is an image with the extracted facial keypoints. If the face analysis is successful, the keypoints will be marked on the image, highlighting the detected facial features. In cases where no face is detected, the output will be an image filled with zeros, indicating that no keypoints could be extracted.
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