arthur151/dynacam

[CVPR 2023] DynaCam dataset - 3D human trajectories in global coordinates from videos captured by dynamic cameras

dynacam's Issues

Issues with dataset annotations

Thank you for your excellent work! I was just wondering about some issues with the dataset -

1. 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.
2. The frame sizes differ for frames in a single video, with the same example as above.
3. SMPL annotations are only partial - some videos with humans in the whole video are not with SMPL annotations for all frames.
4. 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.

Dataset annotations

Thanks a lot for your interesting work. Is it possible to provide a description of the dataset annotations and how they were computed? What is the difference between panorama and translation frames?
Thank you in advance for your help.

Extracting pose data on a random test video

Hi, Thanks for the code!
Can you provide with the steps to execute in order to extract pose data on a random test video.