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Thank you for your excellent work! I was just wondering about some issues with the dataset -
Intrinsics not aligned with frame sizes, e.g., mpii-bicycling-bicycling,BMX-056019255-0 from translation_train has frame sizes of [[520 595], [525 595], [529 595], [532 595], [536 595], [537 595], [537 595], [538 595], [543 595], [551 595], [561 595], [572 595], [584 595], [595 582]], but the intrinsic annotations are with principle points (640, 360). This does not make sense.
The frame sizes differ for frames in a single video, with the same example as above.
SMPL annotations are only partial - some videos with humans in the whole video are not with SMPL annotations for all frames.
Not all sequences have annotations. For example, panorama_train has 76 sequences but only 47 are annotated.
Thanks in advance for your clarification. Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
Thank you for your excellent work! I was just wondering about some issues with the dataset -
mpii-bicycling-bicycling,BMX-056019255-0
fromtranslation_train
has frame sizes of [[520 595], [525 595], [529 595], [532 595], [536 595], [537 595], [537 595], [538 595], [543 595], [551 595], [561 595], [572 595], [584 595], [595 582]], but the intrinsic annotations are with principle points (640, 360). This does not make sense.panorama_train
has 76 sequences but only 47 are annotated.Thanks in advance for your clarification. Looking forward to your reply.
The text was updated successfully, but these errors were encountered: