| import torch | |
| def cv2ten(img, device): | |
| img = (img[:, :, ::-1].transpose(2, 0, 1) / 255. - 0.5) / 0.5 | |
| img_ten = torch.from_numpy(img).float().unsqueeze(0).to(device) | |
| return img_ten | |
| def ten2cv(img_ten, bgr=True): | |
| img = img_ten.squeeze(0).mul_(0.5).add_(0.5).mul_(255).clamp_(0, 255).permute(1, 2, 0).to('cpu', torch.uint8).numpy() | |
| if bgr: | |
| img = img[:, :, ::-1] | |
| return img | |