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clarifying docs for ToPILImage() #7679

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Jun 27, 2023
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@sahilg06 sahilg06 commented Jun 19, 2023

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/7679

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This transform does not support torchscript.

Converts a torch.*Tensor of shape C x H x W or a numpy ndarray of shape
H x W x C to a PIL Image while preserving the value range.
H x W x C to a PIL Image while adjusting the value range depending on the ``mode``.
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@NicolasHug opinion on whether we even want to mention that?

Suggested change
H x W x C to a PIL Image while adjusting the value range depending on the ``mode``.
H x W x C to a PIL Image.

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I'm OK with it. It is slightly more accurate than what we previously had, even though arguably it doesn't provide a ton of info right away, since readers would need to know the details of each PIL mode to understand what's happening. Perhaps we can add that info next to each mode below, e.g.

- If the input has 3 channels, the ``mode`` is assumed to be ``RGB`` (uint8 values in [0, 255])

etc.

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Sure, will make the required changes.

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@sahilg06 sahilg06 Jun 23, 2023

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@NicolasHug @pmeier All the modes are not mentioned explicitly in the docs. PIL.Image mode is referred to that in the docs. So won't it be better if we just write this?

Converts a torch.*Tensor of shape C x H x W or a numpy ndarray of shape
H x W x C to a PIL Image while keeping the value range consistent with PIL.Image modes.

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It wouldn't address that part of my comment above:

even though arguably it doesn't provide a ton of info right away, since readers would need to know the details of each PIL mode to understand what's happening

But that's OK, we can provide more detail incrementally. Let's just merge this PR the way it is right now.

@sahilg06 do you mind reverting the changes made in https://github.com/pytorch/vision/pull/7679/files#r1234422939 so we can merge it? Thanks!

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@@ -199,21 +199,21 @@ def forward(self, image):


class ToPILImage:
"""Convert a tensor or an ndarray to PIL Image - this does not scale values.
"""Converts a tensor or an ndarray to PIL Image
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Seems like python docstring convention suggests to use imperative verb instead of conjugated verb
Source: https://peps.python.org/pep-0257/

It prescribes the function or method’s effect as a command (“Do this”, “Return that”), not as a description; e.g. don’t write “Returns the pathname …”.

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Okay, but at here also, it's written "Applies." There may be more such cases.

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@vfdev-5 vfdev-5 Jun 20, 2023

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These are conventions that may be not respected everywhere for a certain reason. In torchvision (cc @NicolasHug ) we want to follow these convention and in the examples where it is not the case we may want to fix that. Anyway let's not introduce another convention here.

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Thanks @sahilg06

@NicolasHug NicolasHug merged commit 357a40f into pytorch:main Jun 27, 2023
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facebook-github-bot pushed a commit that referenced this pull request Jul 3, 2023
Summary: Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>

Reviewed By: vmoens

Differential Revision: D47186568

fbshipit-source-id: e18b4e33bd621d4c6b38bba3f6c6c405bad35cc5
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Value range after applying ToPILImage()
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