Trouble using mhp_extension about self-correction-human-parsing HOT 7 OPEN

Any solution to this?

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I've got the same problem. Did you solve it?

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Any solution?

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@XuYunqiu Yunqiu, Can you help to look at this issue?

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@Melih1996 you can create a presudo coco instance label file (.json) for your own images, I think. I used mhp for inference two months ago, but I can't remember very clearly now, sorry.
Maybe you can refer to mask2coco modified from human_to_coco.

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@Melih1996 you can create a presudo coco instance label file (.json) for your own images, I think. I used mhp for inference two months ago, but I can't remember very clearly now, sorry.
Maybe you can refer to mask2coco modified from human_to_coco.

@Julymycin is right. For the custom datasets, data should be converted to COCO-style, and the custom datasets should be registered.
The codes for creating COCO-style annotation can be found in this folder.
And the custom datasets with COCO-style annotations can be registered like following few lines https://github.com/PeikeLi/Self-Correction-Human-Parsing/blob/ebe6cebd673aa7b9373cbcf4191a0b2c965dfd70/mhp_extension/detectron2/tools/finetune_net.py#L49-L52

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Can you update the demo.ipynb to include these steps?

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