# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) import cv2 as cv import numpy from PIL import Image, ImageOps from invokeai.app.invocations.primitives import ImageField, ImageOutput from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin from .baseinvocation import BaseInvocation, InputField, InvocationContext, WithMetadata, WithWorkflow, invocation @invocation("cv_inpaint", title="OpenCV Inpaint", tags=["opencv", "inpaint"], category="inpaint", version="1.0.0") class CvInpaintInvocation(BaseInvocation, WithMetadata, WithWorkflow): """Simple inpaint using opencv.""" image: ImageField = InputField(description="The image to inpaint") mask: ImageField = InputField(description="The mask to use when inpainting") def invoke(self, context: InvocationContext) -> ImageOutput: image = context.services.images.get_pil_image(self.image.image_name) mask = context.services.images.get_pil_image(self.mask.image_name) # Convert to cv image/mask # TODO: consider making these utility functions cv_image = cv.cvtColor(numpy.array(image.convert("RGB")), cv.COLOR_RGB2BGR) cv_mask = numpy.array(ImageOps.invert(mask.convert("L"))) # Inpaint cv_inpainted = cv.inpaint(cv_image, cv_mask, 3, cv.INPAINT_TELEA) # Convert back to Pillow # TODO: consider making a utility function image_inpainted = Image.fromarray(cv.cvtColor(cv_inpainted, cv.COLOR_BGR2RGB)) image_dto = context.services.images.create( image=image_inpainted, image_origin=ResourceOrigin.INTERNAL, image_category=ImageCategory.GENERAL, node_id=self.id, session_id=context.graph_execution_state_id, is_intermediate=self.is_intermediate, workflow=self.workflow, ) return ImageOutput( image=ImageField(image_name=image_dto.image_name), width=image_dto.width, height=image_dto.height, )