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.
Thank you for your excellent work! I was just wondering about some issues with the dataset -
mpii-bicycling-bicycling,BMX-056019255-0fromtranslation_trainhas 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_trainhas 76 sequences but only 47 are annotated.Thanks in advance for your clarification. Looking forward to your reply.