9 lines
339 B
Python
9 lines
339 B
Python
import torch
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import torch.nn.functional as F
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import numpy as np
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def prepare_torch_img(img, size_H, size_W, device="cuda"):
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# [H, W, C] -> [1, C, H, W]
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img_new = img.permute(2, 0, 1).unsqueeze(0).to(device)
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img_new = F.interpolate(img_new, (size_H, size_W), mode="bilinear", align_corners=False).contiguous()
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return img_new |