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Thanks for the amazing dataset.
I'm using Matlab to check the keypoints of randperson_subset (randperson_subset_point.txt). From my understanding, there are 9 pairs of (x,y), and start from the 3rd pair is the body keypoints, therefore I plot them on the corresponding images. However, I observed some keypoints are drifted from their true positions. Can you shed some insights on how to get the positions correct?
Examples of drifts:
The text was updated successfully, but these errors were encountered:
Thank you for your attention.
There is indeed a key point offset problem when the character moves, which may be because the character moves too fast or rendered too many characters. We currently have no rules for finding offset points, so we have not dealt with this problem. Maybe create a new video with slow movement and decrease the number of characters will help.
As for the person-to-person occlusion of key points, it can be judged by the z value of the point coordinates, which is provided in the original data (video folder). Environmental occlusion can evaluate the occlusion by comparing the z-values of people in different positions or record the z-values of environmental occlusion objects in a new video.
Thanks for the amazing dataset.
I'm using Matlab to check the keypoints of randperson_subset (randperson_subset_point.txt). From my understanding, there are 9 pairs of (x,y), and start from the 3rd pair is the body keypoints, therefore I plot them on the corresponding images. However, I observed some keypoints are drifted from their true positions. Can you shed some insights on how to get the positions correct?
Examples of drifts:
The text was updated successfully, but these errors were encountered: