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27 lines
1.3 KiB
Python
27 lines
1.3 KiB
Python
from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
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from invokeai.app.invocations.fields import ImageField, InputField, WithBoard, WithMetadata
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from invokeai.app.invocations.primitives import ImageOutput
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from invokeai.app.services.shared.invocation_context import InvocationContext
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from invokeai.backend.image_util.mediapipe_face import detect_faces
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@invocation(
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"mediapipe_face_detection",
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title="MediaPipe Face Detection",
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tags=["controlnet", "face"],
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category="controlnet_preprocessors",
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version="1.0.0",
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)
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class MediaPipeFaceDetectionInvocation(BaseInvocation, WithMetadata, WithBoard):
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"""Detects faces using MediaPipe."""
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image: ImageField = InputField(description="The image to process")
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max_faces: int = InputField(default=1, ge=1, description="Maximum number of faces to detect")
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min_confidence: float = InputField(default=0.5, ge=0, le=1, description="Minimum confidence for face detection")
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def invoke(self, context: InvocationContext) -> ImageOutput:
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image = context.images.get_pil(self.image.image_name, "RGB")
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detected_faces = detect_faces(image=image, max_faces=self.max_faces, min_confidence=self.min_confidence)
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image_dto = context.images.save(image=detected_faces)
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return ImageOutput.build(image_dto)
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