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24 lines
629 B
24 lines
629 B
2 years ago
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import torch
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from ldm.modules.midas.api import load_midas_transform
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class AddMiDaS(object):
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def __init__(self, model_type):
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super().__init__()
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self.transform = load_midas_transform(model_type)
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def pt2np(self, x):
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x = ((x + 1.0) * .5).detach().cpu().numpy()
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return x
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def np2pt(self, x):
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x = torch.from_numpy(x) * 2 - 1.
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return x
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def __call__(self, sample):
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# sample['jpg'] is tensor hwc in [-1, 1] at this point
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x = self.pt2np(sample['jpg'])
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x = self.transform({"image": x})["image"]
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sample['midas_in'] = x
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return sample
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