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bc55791db1
Similar to the existing node, but without any resizing and with a revised model loading API that uses the model manager. All code related to the invocation now lives in the Invoke repo.
16 lines
585 B
Python
16 lines
585 B
Python
# Adapted from https://github.com/huggingface/controlnet_aux
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from PIL import Image
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from invokeai.backend.image_util.mediapipe_face.mediapipe_face_common import generate_annotation
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from invokeai.backend.image_util.util import np_to_pil, pil_to_np
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def detect_faces(image: Image.Image, max_faces: int = 1, min_confidence: float = 0.5) -> Image.Image:
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"""Detects faces in an image using MediaPipe."""
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np_img = pil_to_np(image)
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detected_map = generate_annotation(np_img, max_faces, min_confidence)
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detected_map_pil = np_to_pil(detected_map)
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return detected_map_pil
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