feat : added support for keypoints dataset

[shaddu]

Description

Added support for keypoints dataset

List any dependencies that are required for this change.

Type of change

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• New feature (non-breaking change which adds functionality)

How has this change been tested, please provide a testcase or example of how you tested the change?

Keypotdataset Colab

Any specific deployment considerations

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Docs

• Docs updated? What were the changes:

[onuralpszr]

First suggestion I would say we should split the code to 2 files detections and keypoints and maybe also add base too because file getting really bigger and mix both detections and keypoints not the way I would do it. I would like to hear from others as well.

cc @LinasKo @SkalskiP

[LinasKo]

@onuralpszr, you're very right that it needs a split. It's a massive file.

Let's do that right after the next release, but merge this PR as is.
(after I review it)

@shaddu, fantastic work, as always.

I have one request early request: please add types to each of the split methods, for both classification, detection and keypoint dataset.

    def split(
        self,
        split_ratio: float = 0.8,
        random_state: Optional[int] = None,
        shuffle: bool = True,

Another PR will introduce this change soon, so adding it here will pre-empt the conflict.

[shaddu]

Hi @onuralpszr and @LinasKo ,

I also feel that files should be split based on keypoints and detection types as there could be confusion while working with annotations.

@LinasKo I have added type to the split method for keypoint dataset and can see you have already added for the rest.

Thank you for reviewing the PR ;)