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import numpy as np
import torch
from .data_process import DataProcess
class NormalizeImage(DataProcess):
RGB_MEAN = np.array([122.67891434, 116.66876762, 104.00698793])
def process(self, data):
assert 'image' in data, '`image` in data is required by this process'
image = data['image']
image -= self.RGB_MEAN
image /= 255.
image = torch.from_numpy(image).permute(2, 0, 1).float()
data['image'] = image
return data
@classmethod
def restore(self, image):
image = image.permute(1, 2, 0).to('cpu').numpy()
image = image * 255.
image += self.RGB_MEAN
image = image.astype(np.uint8)
return image
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