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Hello @Jeff-sjtu , thanks for providing the code and dataset. I am trying to produce numbers with OpenPifPaf on your CrowdPose dataset. When I take a COCO pretrained model, the test AP on CrowdPose is very good and I am trying to understand whether that is realistic. When you assembled your train/test split, did you keep the train/test separation from COCO?
What I am trying to understand is whether there are COCO train images in the CrowdPose val and test split which would distort my numbers.
Thanks for your help.
The text was updated successfully, but these errors were encountered:
Hello @Jeff-sjtu , thanks for providing the code and dataset. I am trying to produce numbers with OpenPifPaf on your CrowdPose dataset. When I take a COCO pretrained model, the test AP on CrowdPose is very good and I am trying to understand whether that is realistic. When you assembled your train/test split, did you keep the train/test separation from COCO?
What I am trying to understand is whether there are COCO train images in the CrowdPose val and test split which would distort my numbers.
Thanks for your help.
The text was updated successfully, but these errors were encountered: