[Python] Classify cropped faces images as True if the face is sharp and contains all facial...

I am using deepface extract_faces with retinaface which works great. The "issue" I encounter is that it also outputs partial faces and very blurry ones.

detected_faces = DeepFace.extract_faces(
img_path=face_img_path, align=True,
detector_backend="retinaface")


I am trying to filter out those results with partial success (using eyes layout, Laplacian variance, Canny, Brisque..).

Would appritiate any new directions, possibly a NN that classify the "quality" of the face.

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