41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from logging import getLogger
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from typing import List, Optional
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import cv2
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import numpy as np
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from PIL import Image
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from ..params import ImageParams, SizeChart, StageParams
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from ..server import ServerContext
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from ..worker import ProgressCallback, WorkerContext
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from .stage import BaseStage
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logger = getLogger(__name__)
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class BlendDenoiseStage(BaseStage):
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max_tile = SizeChart.max
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def run(
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self,
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_worker: WorkerContext,
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_server: ServerContext,
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_stage: StageParams,
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_params: ImageParams,
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sources: List[Image.Image],
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*,
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strength: int = 10,
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stage_source: Optional[Image.Image] = None,
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callback: Optional[ProgressCallback] = None,
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**kwargs,
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) -> List[Image.Image]:
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logger.info("denoising source images")
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results = []
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for source in sources:
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data = cv2.cvtColor(np.array(source), cv2.COLOR_RGB2BGR)
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data = cv2.fastNlMeansDenoisingColored(data, None, strength, strength)
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results.append(Image.fromarray(cv2.cvtColor(data, cv2.COLOR_BGR2RGB)))
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return results
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