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import cv2 as cv
import numpy as np
class Nafnet:
def __init__(self, modelPath='deblurring_nafnet_2025may.onnx', backendId=0, targetId=0):
self._modelPath = modelPath
self._backendId = backendId
self._targetId = targetId
# Load the model
self._model = cv.dnn.readNetFromONNX(self._modelPath)
self.setBackendAndTarget(self._backendId, self._targetId)
@property
def name(self):
return self.__class__.__name__
def setBackendAndTarget(self, backendId, targetId):
self._backendId = backendId
self._targetId = targetId
self._model.setPreferableBackend(self._backendId)
self._model.setPreferableTarget(self._targetId)
def infer(self, image):
image_blob = cv.dnn.blobFromImage(image, 0.00392, (image.shape[1], image.shape[0]), (0,0,0), True, False)
self._model.setInput(image_blob)
output = self._model.forward()
# Postprocessing
result = output[0]
result = np.transpose(result, (1, 2, 0))
result = np.clip(result * 255.0, 0, 255).astype(np.uint8)
result = cv.cvtColor(result, cv.COLOR_RGB2BGR)
return result
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