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Custom Dataset #17
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Thx for your interest in our project~ We directly apply the JSON file provided by QPIC, and you may follow QPIC to transform the annotations with their script. |
Great. Thanks so much for your response. |
Hi, thanks again for your reply. I have a follow-up question, The convert_vcoco_annotations.py script converts vcoco to HOIA format. But I am trying to convert a coco format annotation to HOIA by manually adding the interactions. However, I'm unable to understand a few things, |
Hi, the subject_id and object_id is the index of the box annotations list. And category_id in annotations means the category of this box. |
Got it, thank you! |
Hello,
Thanks for this great project! I have a quick question; I'm adapting the CDN code to a custom dataset. However, I can't seem to understand the format. I have converted my dataset to the VCOCO format and I was able to extract the dict keys: (['image_id', 'ann_id', 'role_object_id', 'label', 'action_name', 'role_name', 'include']) but I don't understand the pattern in the trainval.json, train.json, val.json, and test.json.
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