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mmcv.image.tensor2imgs

mmcv.image.tensor2imgs(tensor, mean: Optional[tuple] = None, std: Optional[tuple] = None, to_rgb: bool = True) → list[source]

Convert tensor to 3-channel images or 1-channel gray images.

Parameters

  • tensor (torch.Tensor) – Tensor that contains multiple images, shape ( N, C, H, W). \(C\) can be either 3 or 1.

  • mean (tuple[float], optional) – Mean of images. If None, (0, 0, 0) will be used for tensor with 3-channel, while (0, ) for tensor with 1-channel. Defaults to None.

  • std (tuple[float], optional) – Standard deviation of images. If None, (1, 1, 1) will be used for tensor with 3-channel, while (1, ) for tensor with 1-channel. Defaults to None.

  • to_rgb (bool, optional) – Whether the tensor was converted to RGB format in the first place. If so, convert it back to BGR. For the tensor with 1 channel, it must be False. Defaults to True.

Returns

A list that contains multiple images.

Return type

list[np.ndarray]