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update gfpgan model
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@ -202,25 +202,25 @@ class GFPGANModel(BaseModel):
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if 'gt' in data:
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if 'gt' in data:
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self.gt = data['gt'].to(self.device)
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self.gt = data['gt'].to(self.device)
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# uncomment to check data
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# import torchvision
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# if self.opt['rank'] == 0:
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# import os
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# os.makedirs('tmp/gt', exist_ok=True)
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# os.makedirs('tmp/lq', exist_ok=True)
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# print(self.idx)
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# torchvision.utils.save_image(
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# self.gt, f'tmp/gt/gt_{self.idx}.png', nrow=4, padding=2, normalize=True, range=(-1, 1))
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# torchvision.utils.save_image(
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# self.lq, f'tmp/lq/lq{self.idx}.png', nrow=4, padding=2, normalize=True, range=(-1, 1))
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# self.idx = self.idx + 1
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if 'loc_left_eye' in data:
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if 'loc_left_eye' in data:
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# get facial component locations, shape (batch, 4)
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# get facial component locations, shape (batch, 4)
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self.loc_left_eyes = data['loc_left_eye']
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self.loc_left_eyes = data['loc_left_eye']
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self.loc_right_eyes = data['loc_right_eye']
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self.loc_right_eyes = data['loc_right_eye']
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self.loc_mouths = data['loc_mouth']
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self.loc_mouths = data['loc_mouth']
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# uncomment to check data
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# import torchvision
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# if self.opt['rank'] == 0:
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# import os
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# os.makedirs('tmp/gt', exist_ok=True)
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# os.makedirs('tmp/lq', exist_ok=True)
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# print(self.idx)
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# torchvision.utils.save_image(
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# self.gt, f'tmp/gt/gt_{self.idx}.png', nrow=4, padding=2, normalize=True, range=(-1, 1))
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# torchvision.utils.save_image(
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# self.lq, f'tmp/lq/lq{self.idx}.png', nrow=4, padding=2, normalize=True, range=(-1, 1))
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# self.idx = self.idx + 1
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def construct_img_pyramid(self):
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def construct_img_pyramid(self):
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pyramid_gt = [self.gt]
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pyramid_gt = [self.gt]
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down_img = self.gt
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down_img = self.gt
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